Brasiilia
Upper-middle income
- Ülevaade
- Rasvumise levimus
- Trendid ajas
- Rahvastiku jaotus
- Tegurid
- Kaasnevad haigused
- Majanduslik mõju
- Strateegiad
- Contextual factors
Report cards
Our report cards collate all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.
Rahvastiku jaotus
Tegurid
Kaasnevad haigused
Majanduslik mõju
Strateegiad
Riiklik rasvumisvastane strateegia
Toitumis- või tervisestrateegia
Turundus
Füüsiline aktiivsus
Rahvusvahelised rasvumisvastased strateegiad
Märgistamine
MNH strateegia
Regulations (voluntary/pledges)
Tervisealase tõhususe ülevaated
Ravijuhiste kasutamine
Training
Non-national strategies
School Food Regulations
Imetamine
Obesity Target
Multisectoral national mechanism for obesity
Laadi alla aruanne
Contextual factors
Rasvumise levimus
Täiskasvanud, 2023
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 21690 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2021
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 27093 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2021: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2021 |
Mõisted: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2019
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 52443 |
Hõlmatud piirkond: | Riiklik |
Viited: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 8057 |
Hõlmatud piirkond: | Riiklik |
Viited: | Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2015
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2013-2014
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 59402 |
Hõlmatud piirkond: | Riiklik |
Viited: | FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. |
Märkused: | NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 30.09.20)' |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2012
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2009
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2008-2009
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Valimi suurus: | 121081 |
Hõlmatud piirkond: | Riiklik |
Viited: | Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. |
Märkused: | Please note self reported (estimated height & weight) survey data exists for 2015 from the Brazil National Health and Wellness Survey |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2006
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007. Data published in Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2002-2003
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Valimi suurus: | 93329 |
Hõlmatud piirkond: | Riiklik |
Viited: | Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. |
Märkused: | Data from National Househood Budget Survey. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2001
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-64 |
Valimi suurus: | 1252 |
Viited: | Peixoto Mdo R, Benício MH, Jardim PC. The relationship between body mass index and lifestyle in a Brazilian adult population: a cross-sectional survey. Cad Saude Publica. 2007 Nov;23(11):2694-740 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 1997
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Valimi suurus: | Not specified |
Viited: | Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 1989
Uuringu tüüp: | Mõõdetud |
Vanus: | 25-64 |
Valimi suurus: | Not specified |
Viited: | Barguinsky J. Obesity prevalence in Latin America. Anales Sis San Navarra 2002;25(Suppl 1):S109-115 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 1975
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Valimi suurus: | 78031 |
Viited: | Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 15-17 |
Hõlmatud piirkond: | Riiklik |
Viited: | Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
Cutoffs: | WHO |
Lapsed, 2013-2014
Uuringu tüüp: | Mõõdetud |
Vanus: | 12-17 |
Valimi suurus: | 73399 |
Hõlmatud piirkond: | Riiklik |
Viited: | Bloch KV, Klein CH,Szklo M, Kuschnir MCC, Abreu GA, Barufaldi LA et al. ERICA: prevalences of hypertension and obesity in Brazilian adolescents. Rev Saude Publica. 2016;50(suppl 1):9s. |
Märkused: | Z Score Cut Off (1 to <2) Overweight, >2 Obesity |
Cutoffs: | WHO |
Lapsed, 2009-2011
Uuringu tüüp: | Mõõdetud |
Vanus: | 7-10 |
Valimi suurus: | 1947 |
Hõlmatud piirkond: | Riiklik |
Viited: | Flores LS, Gaya AR, Petersen RD, Gaya AC. Trends of underweight, overweight, and obesity in Brazilian children and adolescents. J Pediatr (Rio J). 2013;89:456–61. |
Märkused: | The subject was classified as underweight, normal weight, overweight, or living with obesity, according to the categories proposed by Conde and Monteiro. |
Cutoffs: | Other |
Lapsed, 2008-2009
Uuringu tüüp: | Mõõdetud |
Vanus: | 5-9 |
Valimi suurus: | 17491 |
Hõlmatud piirkond: | Riiklik |
Viited: | http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008_2009/POFpublicacao.pdf |
Märkused: | WHO 2007 Cut off |
Cutoffs: | WHO |
Lapsed, 2002
Uuringu tüüp: | Mõõdetud |
Vanus: | 7-10 |
Valimi suurus: | 2936 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | de Assis MAA, Rolland-Cachera MF, Grosseman S, de Vasconcelos FAG, Luna MEP, Calvo MCM, Barros MVG, Pires MMS and Bellisle F. 2005. Obesity, overweight and thiness in schoolchildren of the city of Florianópolis, Southern Brazil. European Journal of Clinical Nutrition, 59: 1015 - 1021. |
Märkused: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
Lapsed, 1997
Uuringu tüüp: | Mõõdetud |
Vanus: | 5-17 |
Valimi suurus: | 4875 |
Viited: | Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China and Russia. AM J Clin Nutr. 2002;75:971-7 |
Märkused: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
Lapsed, 1989
Uuringu tüüp: | Mõõdetud |
Vanus: | 10 |
Valimi suurus: | 783 |
Viited: | Bellizzi MC, Horgan GW, Guillaume M, Dietz WH. Prevalence of childhood and adolescent overweight and obesity in Asian and European countries. In: Obesity in Childhood and Adolescence. Editors: Chunming Chen, William H. Dietz. Nestle Nutrition Workshop Series Pediatric Program. Philadelphia: Lippincott Williams and Wilkins, 2002. |
Märkused: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
Lapsed, 1974
Uuringu tüüp: | Mõõdetud |
Vanus: | 5-17 |
Valimi suurus: | 56295 |
Viited: | Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China and Russia. AM J Clin Nutr. 2002;75:971-7 |
Märkused: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
0-5 years, 2019
Vanus: | 0-5 |
Valimi suurus: | 10780287 |
Viited: | NNS: Estudo Nacional de Alimentação e Nutrição Infantil (ENANI), Brasil 2019 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 2006-2007
Vanus: | 0-5 |
Valimi suurus: | 12374534 |
Viited: | Other: Pesquisa nacional de demografia e saúde da criança e da mulher - PNDS 2006. Relatório da pesquisa. Sao Paulo: CEBRAP, 2008 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1996
Vanus: | 0-5 |
Valimi suurus: | 3854 |
Viited: | DHS: Pesquisa nacional sobre demografia e saude 1996. Demographic and Health Surveys. Rio de Janeiro, Brasil: Litografia Tucano Ltda., 1997 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1989
Vanus: | 0-5 |
Valimi suurus: | 16088454 |
Viited: | Other: Brazil National Survey on Health and Nutrition 1989. Ann Arbor, United States: Inter-University Consortium for Political and Social Research (ICPSR). |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
% Adults living with obesity in Brazil 1975-2019
Men and women
Uuringu tüüp: | Mõõdetud |
Viited: | 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Uuringu tüüp: | Mõõdetud |
Viited: | 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Mehed
Uuringu tüüp: | Mõõdetud |
Viited: | 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
% Adults living with overweight or obesity in Brazil 1975-2019
Men and women
Uuringu tüüp: | Mõõdetud |
Viited: | 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Uuringu tüüp: | Mõõdetud |
Viited: | 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Mehed
Uuringu tüüp: | Mõõdetud |
Viited: | 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². | |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Adults living with obesity in Brazil 2006-2023
Mehed
Uuringu tüüp: | Ise teatatud |
Viited: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2021: Vigitel Brazil 2021: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2021 2023: Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Uuringu tüüp: | Ise teatatud |
Viited: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2021: Vigitel Brazil 2021: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2021 2023: Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Men and women
Uuringu tüüp: | Ise teatatud |
Viited: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2021: Vigitel Brazil 2021: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2021 2023: Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Adults living with overweight or obesity in Brazil 2006-2023
Mehed
Uuringu tüüp: | Ise teatatud |
Viited: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2021: Vigitel Brazil 2021: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2021 2023: Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Uuringu tüüp: | Ise teatatud |
Viited: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2021: Vigitel Brazil 2021: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2021 2023: Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Men and women
Uuringu tüüp: | Ise teatatud |
Viited: | 2006: BRASIL. Ministério da Saúde. Vigitel Brasil 2006: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2007.
Data published in
Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2009: BRASIL. Ministério da Saúde. Vigitel Brasil 2009: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde, 2010. 2012: BRASIL. Ministério da Saúde. Vigitel Brasil 2012: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2013. 2015: BRASIL. Ministério da Saúde. Vigitel Brasil 2015: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília, DF: Ministério da Saúde, 2016. 2019: Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil 2021: Vigitel Brazil 2021: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2021 2023: Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
% Adults living with obesity in selected countries in the Americas Region 1960-2018, valitud riigid
Mehed
Viited: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Viited: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
% Adults living with obesity in selected countries worldwide 1976-2018, valitud riigid
Mehed
Viited: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1982, 1993: Rodriguez-Ojea A, Jimenez S, Berdasco A, Esquivel M. The nutrition transition in Cuba in the nineties:an overview. Public health Nutrition 2002:5(1A), 129-133 1985: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 Aug;29(8):916-24 1990: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 online published ahead of print. 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Scottish Health Survey 1998 1999: Health Survey for England 1999. 2000: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2001: Health Survey for England 2001. 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Peltonen M, Harald K, Männistö S, Saarikoski L, Lund L, Sundvall J, Juolevi A, Laatikainen T, Aldén-Nieminen H, Luoto R, Jousilahti P, Salomaa V, Taimi M, Vartiainen E. Kansallinen FINRISKI 2007 –terveystutkimus, Tutkimuksen toteutus ja tulokset: Taulukkoliite. Kansanterveyslaitos. Yliopistopaino, Helsinki 2008. 2008: Health Survey for England 2008. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Health Survey for England 2010 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 2012: Scottish Health Survey http://www.scotland.gov.uk/Resource/0043/00434590.pdf 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Scottish Health Survey 2016 (http://www.gov.scot/Publications/2017/10/2970/downloads last accessed 3rd October 2017) Link to Key stats report - http://www.gov.scot/Resource/0052/00525366.pdf Link to Main Report - http://www.gov.scot/Resource/0052/00525472.pdf 2017: Health Survey for England 2017 https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2017 (last accessed 4.12.18) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2022: Health Survey for England 2022. Available at https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2022-part-2 (last accessed 08.10.24) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Naised
Viited: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1982, 1993: Rodriguez-Ojea A, Jimenez S, Berdasco A, Esquivel M. The nutrition transition in Cuba in the nineties:an overview. Public health Nutrition 2002:5(1A), 129-133 1985: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 Aug;29(8):916-24 1990: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 online published ahead of print. 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Scottish Health Survey 1998 1999: Health Survey for England 1999. 2000: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2001: Health Survey for England 2001. 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Peltonen M, Harald K, Männistö S, Saarikoski L, Lund L, Sundvall J, Juolevi A, Laatikainen T, Aldén-Nieminen H, Luoto R, Jousilahti P, Salomaa V, Taimi M, Vartiainen E. Kansallinen FINRISKI 2007 –terveystutkimus, Tutkimuksen toteutus ja tulokset: Taulukkoliite. Kansanterveyslaitos. Yliopistopaino, Helsinki 2008. 2008: Health Survey for England 2008. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Health Survey for England 2010 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 2012: Scottish Health Survey http://www.scotland.gov.uk/Resource/0043/00434590.pdf 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Scottish Health Survey 2016 (http://www.gov.scot/Publications/2017/10/2970/downloads last accessed 3rd October 2017) Link to Key stats report - http://www.gov.scot/Resource/0052/00525366.pdf Link to Main Report - http://www.gov.scot/Resource/0052/00525472.pdf 2017: Health Survey for England 2017 https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2017 (last accessed 4.12.18) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2022: Health Survey for England 2022. Available at https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2022-part-2 (last accessed 08.10.24) |
Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest |
Ülekaalulisus / rasvumine hariduse järgi
Täiskasvanud, 2023
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 21690 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Mõisted: | Education based on years of education |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2023
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 21690 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Mõisted: | Education based on years of education |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2023
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 21690 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Mõisted: | Education based on years of education |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2019
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 52443 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District Education based on years of education |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2019
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 52443 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District Education based on years of education |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2011
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | Approx. 54,000 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | MALTA, Deborah Carvalho et al. Trends in prevalence of overweight and obesity in adults in 26 Brazilian state capitals and the Federal District from 2006 to 2012. Rev. bras. epidemiol. [online]. 2014, vol.17, suppl.1 [cited 2017-11-13], pp.267-276. Available from: <http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2014000500267&lng=en&nrm=iso>. ISSN 1415-790X. http://dx.doi.org/10.1590/1809-4503201400050021 |
Märkused: | Prevalence of overweight and obesity by educational level (years of study) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2008-2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-59 |
Valimi suurus: | 527 |
Hõlmatud piirkond: | Regional - N.Eastern Brazil |
Viited: | Lima R P A, Pereira D C, Luna R C P, et al. BMI, Overweight Status and Obesity Adjusted by Various Factors in All Age Groups in the Population of a City in Northeastern Brazil. Int. J. Environ. Res. Public Health 2015, 12, 4422-4438; doi:10.3390/ijerph120404422 |
Märkused: | < elementary school, corresponding to 9 years or less of schooling, and ≥incomplete high school, corresponding to more than 9 years of education. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Poisid, 2007
Uuringu tüüp: | Mõõdetud |
Vanus: | 7-14 |
Valimi suurus: | 2826 |
Hõlmatud piirkond: | Subnational - Municipality of Florianópolis |
Viited: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Märkused: | Prevalence of obesity based on Father's schooling years. For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI ≥ 25kg/m2 in adults) |
Cutoffs: | IOTF |
Tüdrukud, 2007
Uuringu tüüp: | Mõõdetud |
Vanus: | 7-14 |
Valimi suurus: | 2826 |
Hõlmatud piirkond: | Subnational - Municipality of Florianópolis |
Viited: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Märkused: | Prevalence of obesity based on Father's schooling years. For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI ≥ 25kg/m2 in adults) |
Cutoffs: | IOTF |
0-5 years, 1996
Valimi suurus: | 3854 |
Viited: | DHS: Pesquisa nacional sobre demografia e saude 1996. Demographic and Health Surveys. Rio de Janeiro, Brasil: Litografia Tucano Ltda., 1997 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
Ülekaalulisus / rasvumine vanuse järgi
Täiskasvanud, 2023
Uuringu tüüp: | Ise teatatud |
Valimi suurus: | 21690 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2019
Uuringu tüüp: | Ise teatatud |
Valimi suurus: | 52443 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2019
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 8057 |
Hõlmatud piirkond: | Riiklik |
Viited: | Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2013
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 59402 |
Hõlmatud piirkond: | Riiklik |
Viited: | FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2020-06-11], e190024. Available from: <http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso>. Epub Apr 01, 2019. ISSN 1980-5497. https://doi.org/10.1590/1980-549720190024. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2008-2009
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 121081 |
Hõlmatud piirkond: | Riiklik |
Viited: | Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2015
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 10902 |
Hõlmatud piirkond: | Riiklik |
Viited: | Pesquisa nacional de saúde do escolar (PeNSE) : 2015. Brasil / IBGE, Coordenação de População e Indicadores Sociais. Rio de Janeiro: IBGE, 2021. Available at: https://www.ibge.gov.br/en/statistics/social/health/16837-national-survey-of-school-health-editions.html?edicao=16842 [Accessed 27.05.25] |
Cutoffs: | WHO |
Lapsed, 2013-2014
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 73399 |
Hõlmatud piirkond: | Riiklik |
Viited: | Bloch KV, Klein CH,Szklo M, Kuschnir MCC, Abreu GA, Barufaldi LA et al. ERICA: prevalences of hypertension and obesity in Brazilian adolescents. Rev Saude Publica. 2016;50(suppl 1):9s. |
Mõisted: | WHO |
Cutoffs: | WHO |
Lapsed, 2009-2011
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 4140 |
Hõlmatud piirkond: | Riiklik |
Viited: | Flores LS, Gaya AR, Petersen RD, Gaya AC. Trends of underweight, overweight, and obesity in Brazilian children and adolescents. J Pediatr (Rio J). 2013;89:456–61. |
Märkused: | The subject was classified as underweight, normal weight, overweight, or obese, according to the categories proposed by Conde and Monteiro. |
Cutoffs: | Other |
Ülekaalulisus / rasvumine piirkonna järgi
Täiskasvanud, 2023
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 21690 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2023
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 21690 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2023
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 21690 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2023: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2023 |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2019
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 52443 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2019
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 52443 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Vigitel Brazil 2019: surveillance of risk and protective factors for chronic diseases by telephone survey: estimates of frequency and sociodemographic distribution of risk and protective factors for chronic diseases in the capitals of the 26 Brazilian states and the Federal District in 2019 - report translation provided to WOF by Dra.Andrea Pereira, Presidente e co-fundadora da ONG Obesidade Brasil |
Märkused: | Data from Capitals of 26 Brazilian States and the Federal District |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 6672 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2019 (PNS-2019) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 6672 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2019 (PNS-2019) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2013
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 59592 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2013 (PNS-2013) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2013
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 59592 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2013 (PNS-2013) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2012
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | Approx 54000 |
Hõlmatud piirkond: | Riiklik |
Viited: | MALTA, Deborah Carvalho et al. Trends in prevalence of overweight and obesity in adults in 26 Brazilian state capitals and the Federal District from 2006 to 2012. Rev. bras. epidemiol. [online]. 2014, vol.17, suppl.1 [cited 2016-04-20], pp.267-276. |
Märkused: | Prevalence of Obesity by Cities in each Region. The VIGITEL data analyzed in this study include weight and height reported by the respondents as well as their age, gender and level of schooling/education. In 2012, the VIGITEL performed the imputation of the missing data on weight and height. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 13-17 |
Valimi suurus: | 10902 |
Hõlmatud piirkond: | Riiklik |
Viited: | Pesquisa nacional de saúde do escolar (PeNSE) : 2015. Brasil / IBGE, Coordenação de População e Indicadores Sociais. Rio de Janeiro: IBGE, 2021. Available at: https://www.ibge.gov.br/en/statistics/social/health/16837-national-survey-of-school-health-editions.html?edicao=16842 [Accessed 27.05.25] |
Cutoffs: | WHO |
Poisid, 2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 13-17 |
Valimi suurus: | 10902 |
Hõlmatud piirkond: | Riiklik |
Viited: | Pesquisa nacional de saúde do escolar (PeNSE) : 2015. Brasil / IBGE, Coordenação de População e Indicadores Sociais. Rio de Janeiro: IBGE, 2021. Available at: https://www.ibge.gov.br/en/statistics/social/health/16837-national-survey-of-school-health-editions.html?edicao=16842 [Accessed 27.05.25] |
Cutoffs: | WHO |
Tüdrukud, 2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 13-17 |
Valimi suurus: | 10902 |
Hõlmatud piirkond: | Riiklik |
Viited: | Pesquisa nacional de saúde do escolar (PeNSE) : 2015. Brasil / IBGE, Coordenação de População e Indicadores Sociais. Rio de Janeiro: IBGE, 2021. Available at: https://www.ibge.gov.br/en/statistics/social/health/16837-national-survey-of-school-health-editions.html?edicao=16842 [Accessed 27.05.25] |
Cutoffs: | WHO |
Poisid, 2004-2005
Uuringu tüüp: | Mõõdetud |
Vanus: | 10-15 |
Valimi suurus: | 36976 |
Hõlmatud piirkond: | Riiklik |
Viited: | Pelegrini, Andreia, Luiz Petroski, Edio, da Silva Coqueiro, Raildo, & Araujo Gaya, Adroaldo César. (2008). Overweight and obesity in brazilian schoolchildren aged 10 to 15 years: data from a Brazilian sports project. Archivos Latinoamericanos de Nutrición, 58(4), 343-349. Recuperado en 04 de abril de 2016, de http://www.scielo.org.ve/scielo.php?script=sci_arttext&pid=S0004-06222008000400004&lng=es&tlng=en. |
Märkused: | International cut-off BMI values were used for the evaluation of nutritional status (Cole et al) |
Cutoffs: | IOTF |
Tüdrukud, 2004-2005
Uuringu tüüp: | Mõõdetud |
Vanus: | 10-15 |
Valimi suurus: | 36976 |
Hõlmatud piirkond: | Riiklik |
Viited: | Pelegrini, Andreia, Luiz Petroski, Edio, da Silva Coqueiro, Raildo, & Araujo Gaya, Adroaldo César. (2008). Overweight and obesity in brazilian schoolchildren aged 10 to 15 years: data from a Brazilian sports project. Archivos Latinoamericanos de Nutrición, 58(4), 343-349. Recuperado en 04 de abril de 2016, de http://www.scielo.org.ve/scielo.php?script=sci_arttext&pid=S0004-06222008000400004&lng=es&tlng=en. |
Märkused: | International cut-off BMI values were used for the evaluation of nutritional status (Cole et al) |
Cutoffs: | IOTF |
0-5 years, 2006-2007
Valimi suurus: | 12374534 |
Viited: | Other: Pesquisa nacional de demografia e saúde da criança e da mulher - PNDS 2006. Relatório da pesquisa. Sao Paulo: CEBRAP, 2008 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1996
Valimi suurus: | 3854 |
Viited: | DHS: Pesquisa nacional sobre demografia e saude 1996. Demographic and Health Surveys. Rio de Janeiro, Brasil: Litografia Tucano Ltda., 1997 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1989
Valimi suurus: | 16088454 |
Viited: | Other: Brazil National Survey on Health and Nutrition 1989. Ann Arbor, United States: Inter-University Consortium for Political and Social Research (ICPSR). |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
Ülekaalulisus / rasvumine sotsiaalmajandusliku grupi järgi
Mehed, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 6672 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2019 (PNS-2019) |
Mõisted: | Per capita household income: Lower = <1 minimum wage; Median = ≥1 and <2 minimum wages; Higher = ≥2 minimum wages. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 6672 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2019 (PNS-2019) |
Mõisted: | Per capita household income: Lower = <1 minimum wage; Median = ≥1 and <2 minimum wages; Higher = ≥2 minimum wages. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2013
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 59592 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2013 (PNS-2013) |
Mõisted: | Per capita household income: Lower = <1 minimum wage; Median = ≥1 and <2 minimum wages; Higher = ≥2 minimum wages. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2013
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 59592 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2013 (PNS-2013) |
Mõisted: | Per capita household income: Lower = <1 minimum wage; Median = ≥1 and <2 minimum wages; Higher = ≥2 minimum wages. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2008-2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-59 |
Valimi suurus: | 527 |
Hõlmatud piirkond: | Regional - N. Eastern Brazil |
Viited: | Lima R P A, Pereira D C, Luna R C P, et al. BMI, Overweight Status and Obesity Adjusted by Various Factors in All Age Groups in the Population of a City in Northeastern Brazil. Int. J. Environ. Res. Public Health 2015, 12, 4422-4438; doi:10.3390/ijerph120404422 |
Märkused: | WHO BMI classification of 1995 used for Adults. Median family income, R$1000.00, or $492.02. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2010
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-10 |
Valimi suurus: | 939 |
Hõlmatud piirkond: | Municipality of Cruzeiro do Oeste, Southern Brazil. |
Viited: | Azambuja, Ana Paula de O., Netto-Oliveira, Edna Regina, Oliveira, Amauri Aparecido B. de, Azambuja, Maximiliano dos Anjos, & Rinaldi, Wilson. (2013). Prevalence of overweight/obesity and economical status of schoolchildren. Revista Paulista de Pediatria, 31(2), 166-171. https://dx.doi.org/10.1590/S0103-05822013000200006 |
Märkused: | The socioeconomic status was defined through a questionnaire of economic classification by the Brazilian Association of Research Companies – Associação Brasileira de Empresas de Pesquisa, ABEP. This classification is based on items such as ownership of goods (television, radio, car, vacuum cleaner, VCR and/or DVD player, fridge, freezer and washing machine), services (housemaid), household characteristics (number of bathrooms) and educational level of the head of the household. The total score for each item results in the classification of respondents into seven strata identified as "social classes" A1, A2, B1, B2, C, D, and E(17). For analysis purposes, the eight economic levels, proposed by ABEP, were regrouped and named as follows: A1, A2, and B1 in High Economic Level (H); B2, C1 and C2 in Medium Economic Level (M) and, D and E in Low Economic Level (L). |
Cutoffs: | Other |
Lapsed, 2008-2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 6-17 |
Valimi suurus: | 5962 |
Hõlmatud piirkond: | 11 towns around the Itaipu Lake, Western Paraná |
Viited: | Hobold, E., & Arruda, M. (2015). Prevalence of overweight and obesity in schoolchildren: relationship with socioeconomic status, gender and age. Brazilian Journal of Kinanthropometry and Human Performance, 17(2), 156-164. doi:http://dx.doi.org/10.5007/1980-0037.2015v17n2p156 |
Märkused: | IOTF Cut-offs used Socioeconomic status (SES) was defined as A (highest), B, C, and D (lowest) |
Cutoffs: | IOTF |
Poisid, 2007
Uuringu tüüp: | Mõõdetud |
Vanus: | 7-14 |
Valimi suurus: | 2826 |
Hõlmatud piirkond: | Municipality of Florianópolis |
Viited: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Märkused: | Prevalence of obesity based on income (per capita monthly income R$). 1st tercile: < R$240.00, 2nd tercile: > R$240.00 and < R$500.00, and 3rd tercile: > R$500.00 For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI > 25kg/m2 in adults) |
Cutoffs: | Other |
Tüdrukud, 2007
Uuringu tüüp: | Mõõdetud |
Vanus: | 7-14 |
Valimi suurus: | 2826 |
Hõlmatud piirkond: | Municipality of Florianópolis |
Viited: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Märkused: | Prevalence of obesity based on income (per capita monthly income R$). 1st tercile: < R$240.00, 2nd tercile: > R$240.00 and < R$500.00, and 3rd tercile: > R$500.00 For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI > 25kg/m2 in adults) |
Cutoffs: | Other |
0-5 years, 2019
Valimi suurus: | 10780287 |
Viited: | NNS: Estudo Nacional de Alimentação e Nutrição Infantil (ENANI), Brasil 2019 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
0-5 years, 1996
Valimi suurus: | 3854 |
Viited: | DHS: Pesquisa nacional sobre demografia e saude 1996. Demographic and Health Surveys. Rio de Janeiro, Brasil: Litografia Tucano Ltda., 1997 |
Märkused: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Mõisted: | =>+2SD |
Ülekaalulisus / rasvumine rahvuskuuluvuse järgi
Ethnic groups are as defined by publication of origin and are not as defined by WOF. In some instances ethnicity is conflated with nationality and/or race.
Mehed, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 6672 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2019 (PNS-2019) |
Mõisted: | Race/skin color aggregated as white and not white (brown and black), excluding yellow and indigenous people due to their low representation in the PNS |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 6672 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2019 (PNS-2019) |
Mõisted: | Race/skin color aggregated as white and not white (brown and black), excluding yellow and indigenous people due to their low representation in the PNS |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2013
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 59592 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2013 (PNS-2013) |
Mõisted: | Race/skin color aggregated as white and not white (brown and black), excluding yellow and indigenous people due to their low representation in the PNS |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2013
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 59592 |
Hõlmatud piirkond: | Riiklik |
Viited: | de Souza Ferreira, A.P., Szwarcwald, C.L., Damacena, G.N., de Souza Júnior, P.R.B. 2021. Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev. bras. Epidemiol. 24 (suppl 2), 10 Dec 2021. https://doi.org/10.1590/1980-549720210009.supl.2 |
Märkused: | Data from Pesquisa nacional de saúde 2013 (PNS-2013) |
Mõisted: | Race/skin color aggregated as white and not white (brown and black), excluding yellow and indigenous people due to their low representation in the PNS |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2008-2009
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-65 |
Valimi suurus: | 80702 |
Hõlmatud piirkond: | Riiklik |
Viited: | Araujo, M.C., Baltar, V.T., Yokoo, E.M. and Sichieri, R. (2018). The association between obesity and race among Brazilian adults is dependent on sex and socio-economic status. Public Health Nutrition, [online] 21(11), pp.2096–2102. doi:https://doi.org/10.1017/s1368980018000307 |
Märkused: | Data from 2008–2009 Brazilian Household Budget Survey. Only urban areas included. |
Mõisted: | Racial classification was based on self-reported skin colour and was divided into five categories: White, Black, ‘Pardo’, Asian and Indigenous. This study used Brown to refer to 'Pardo', and excluded Asian and Indigenous groups due to small sample sizes. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2008-2009
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-65 |
Valimi suurus: | 80702 |
Hõlmatud piirkond: | Riiklik |
Viited: | Araujo, M.C., Baltar, V.T., Yokoo, E.M. and Sichieri, R. (2018). The association between obesity and race among Brazilian adults is dependent on sex and socio-economic status. Public Health Nutrition, [online] 21(11), pp.2096–2102. doi:https://doi.org/10.1017/s1368980018000307 |
Märkused: | Data from 2008–2009 Brazilian Household Budget Survey. Only urban areas included. |
Mõisted: | Racial classification was based on self-reported skin colour and was divided into five categories: White, Black, ‘Pardo’, Asian and Indigenous. This study used Brown to refer to 'Pardo', and excluded Asian and Indigenous groups due to small sample sizes. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2008-2009
Uuringu tüüp: | Mõõdetud |
Vanus: | 20-65 |
Valimi suurus: | 80702 |
Hõlmatud piirkond: | Riiklik |
Viited: | Araujo, M.C., Baltar, V.T., Yokoo, E.M. and Sichieri, R. (2018). The association between obesity and race among Brazilian adults is dependent on sex and socio-economic status. Public Health Nutrition, [online] 21(11), pp.2096–2102. doi:https://doi.org/10.1017/s1368980018000307 |
Märkused: | Data from 2008–2009 Brazilian Household Budget Survey. Only urban areas included. |
Mõisted: | Racial classification was based on self-reported skin colour and was divided into five categories: White, Black, ‘Pardo’, Asian and Indigenous. This study used Brown to refer to 'Pardo', and excluded Asian and Indigenous groups due to small sample sizes. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Double burden of underweight & overweight
Täiskasvanud, 2022
Uuringu tüüp: | Mõõdetud |
Vanus: | 20+ |
Viited: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
Märkused: | Age Standardised estimates |
Mõisted: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Lapsed, 2022
Uuringu tüüp: | Mõõdetud |
Vanus: | 5-19 |
Viited: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
Märkused: | Age standardised estimates |
Mõisted: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019-2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 0-5 |
Viited: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
Märkused: | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
Ebapiisav füüsiline aktiivsus
Täiskasvanud, 2022
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Mõisted: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Mehed, 2022
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Mõisted: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Naised, 2022
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Hõlmatud piirkond: | Riiklik |
Viited: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
Mõisted: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Täiskasvanud, 2016
Viited: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Mehed, 2016
Viited: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Naised, 2016
Viited: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Lapsed, 2016
Uuringu tüüp: | Ise teatatud |
Vanus: | 11-17 |
Viited: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Märkused: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Poisid, 2016
Uuringu tüüp: | Ise teatatud |
Vanus: | 11-17 |
Viited: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Märkused: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Tüdrukud, 2016
Uuringu tüüp: | Ise teatatud |
Vanus: | 11-17 |
Viited: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Märkused: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Lapsed, 2010
Vanus: | 11-17 |
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Märkused: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Poisid, 2010
Vanus: | 11-17 |
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Märkused: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Tüdrukud, 2010
Vanus: | 11-17 |
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Märkused: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Täiskasvanud, 2017
Uuringu tüüp: | Mõõdetud |
Vanus: | 25+ |
Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Mõisted: | Estimated per-capita fruit intake (g/day) |
Hinnanguline töödeldud liha tarbimine inimese kohta
Täiskasvanud, 2017
Uuringu tüüp: | Mõõdetud |
Vanus: | 25+ |
Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Mõisted: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Täiskasvanud, 2017
Uuringu tüüp: | Mõõdetud |
Vanus: | 25+ |
Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Mõisted: | Estimated per-capita whole grains intake (g/day) |
Vaimne tervis - depressiivsed häired
Täiskasvanud, 2021
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Mõisted: | Number living with depression per 100,000 population (adults 20+ years) |
Mehed, 2021
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Mõisted: | Number living with depression per 100,000 population (adults 20+ years) |
Naised, 2021
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Mõisted: | Number living with depression per 100,000 population (adults 20+ years) |
Täiskasvanud, 2015-2021
Viited: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Mõisted: | % of population with depression disorders |
Täiskasvanud, 2015-2021
Viited: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Mõisted: | % of population with depression disorders |
Mehed, 2015-2021
Viited: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Mõisted: | % of population with depression disorders |
Naised, 2015-2021
Viited: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Mõisted: | % of population with depression disorders |
Lapsed, 2021
Hõlmatud piirkond: | Riiklik |
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Mõisted: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Poisid, 2021
Hõlmatud piirkond: | Riiklik |
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Mõisted: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Tüdrukud, 2021
Hõlmatud piirkond: | Riiklik |
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Mõisted: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Vaimne tervis - ärevushäired
Täiskasvanud, 2021
Vanus: | 20+ |
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Mõisted: | Number living with anxiety per 100,000 population |
Mehed, 2021
Vanus: | 20+ |
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Mõisted: | Number living with anxiety per 100,000 population |
Naised, 2021
Vanus: | 20+ |
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Mõisted: | Number living with anxiety per 100,000 population |
Täiskasvanud, 2015-2021
Viited: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Mõisted: | % of population with anxiety disorders |
Täiskasvanud, 2015-2021
Viited: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Mõisted: | % of population with anxiety disorders |
Mehed, 2015-2021
Viited: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Mõisted: | % of population with anxiety disorders |
Naised, 2015-2021
Viited: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Mõisted: | % of population with anxiety disorders |
Lapsed, 2021
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Poisid, 2021
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Tüdrukud, 2021
Viited: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
0.–5. elukuuni eranditult rinnapiimal imikute %
0-5 years, 1998-2023
Viited: | Estudo Nacional de Alimentação e Nutrição Infantil (ENANI), Brasil 2019 |
Märkused: | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Täiskasvanud, 2022
Hõlmatud piirkond: | Riiklik |
Viited: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Söögitoruvähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Indicence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Indicence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Rinnavähk
Naised, 2022
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Pärasoolevähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Kõhunäärmevähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Sapipõie vähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Indicence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Indicence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Neeruvähk
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Mehed, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Emakavähk
Naised, 2022
Vanus: | 20+ |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Naised, 2020-2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2065 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Kõrgenenud vererõhk
Täiskasvanud, 2015
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mehed, 2015
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Naised, 2015
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kõrgenenud kolesteroolitase
Täiskasvanud, 2008
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mehed, 2008
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Naised, 2008
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kõrgenenud veresuhkru tase tühja kõhuga
Mehed, 2014
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Mõisted: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Naised, 2014
Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Mõisted: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabeedi levimus
Täiskasvanud, 2024
Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Täiskasvanud, 2021
Vanus: | 20-79 |
Hõlmatud piirkond: | Riiklik |
Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Mõisted: | Age-adjusted comparative prevalence of diabetes, % |
Täiskasvanud, 2019
Vanus: | 20-79 |
Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Mõisted: | Diabetes age-adjusted comparative prevalence (%). |
Täiskasvanud, 2017
Viited: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Mõisted: | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Naised, 2022
Vanus: | 20+ |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Leukemia
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Leukemia
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Liver and intrahepatic bile duct Cancer
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Multiple Myeloma
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Indicence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Indicence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Non Hodgkin Lymphoma
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Thyroid Cancer
Mehed, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Naised, 2022
Vanus: | 20+ |
Hõlmatud piirkond: | Riiklik |
Viited: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
Mõisted: | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Present |
Front-of-package labelling? | Present |
Back-of-pack nutrition declaration? | Present |
Color coding? | Absent |
Warning label? | Present |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Present |
Mandatory limit of trans fats in place (all settings)? | Present |
Ban on trans-fats or phos in place (all settings)? | Present |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
Mandatory restriction on broadcast media? | Present |
Mandatory restriction on non-broadcast media? | Present |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present-(voluntary) |
Are there mandatory standards for food in schools? | Present |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Present |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Present |
National obesity strategy? | Present |
National childhood obesity strategy? | Present |
Comprehensive nutrition strategy? | Present |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Present |
Promotion of breastfeeding? | Present |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated June 18, 2025
Download contextual factors as a PDF Contextual factors definitions