Brazilija
- Apžvalga
- Nutukimo paplitimas
- Tendencijos
- Gyventojų pasiskirstymas
- Paskatos
- Gretutinės ligos
- Ekonominis poveikis
- Politikos (tik anglų k.)
- Contextual factors
Įkeliami duomenys, palaukite...
Nacionalinė nutukimo rizika *7,5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Nutukimo vaikystėje rizika *8/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Nutukimo paplitimas
Tendencijos
Atsisiųsti ataskaitos kortelę
Ataskaitos kortelėje surinkti visi naujausi šios šalies vaizdiniai duomenys. Jei norite sukurti tinkintą ataskaitą pasirinktų vaizdinių duomenų pagrindu, palieskite mygtuką „Įtraukti į tinkintą PDF“, esantį po norimu naudoti vaizdiniu elementu.Gyventojų pasiskirstymas
Paskatos
Gretutinės ligos
Ekonominis poveikis
Politikos (tik anglų k.)
Nacionalinė kovos su nutukimu strategija
Mitybos ar sveikatos strategija
Rinkodara
Fizinis aktyvumas
Ženklinimas
Kovos su neužkrečiamomis ligomis strategija
Sveikatos priemonių veiksmingumo apžvalgos
Valdymo ar gydymo gairės
School Food Regulations
Maitinimas krūtimi
Obesity Target
Atsisiųsti ataskaitos kortelę
Contextual factors
Nutukimo paplitimas
Suaugusieji, 2019
Tyrimo tipas: | Išmatuotas |
Amžius: | 18+ |
Imties dydis: | 8057 |
Teritorija: | Nacionalinis |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2019
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Imties dydis: | 52443 |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2015
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2013-2014
Tyrimo tipas: | Išmatuotas |
Amžius: | 18+ |
Imties dydis: | 59402 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | 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)' |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2012
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2009
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2008-2009
Tyrimo tipas: | Išmatuotas |
Amžius: | 20+ |
Imties dydis: | 121081 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | Please note self reported (estimated height & weight) survey data exists for 2015 from the Brazil National Health and Wellness Survey |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2006
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2002-2003
Tyrimo tipas: | Išmatuotas |
Amžius: | 20+ |
Imties dydis: | 93329 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | Data from National Househood Budget Survey. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2001
Tyrimo tipas: | Išmatuotas |
Amžius: | 20-64 |
Imties dydis: | 1252 |
Nuorodos: | 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 |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 1997
Tyrimo tipas: | Išmatuotas |
Amžius: | 20+ |
Imties dydis: | Not specified |
Nuorodos: | Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 1989
Tyrimo tipas: | Išmatuotas |
Amžius: | 25-64 |
Imties dydis: | Not specified |
Nuorodos: | Barguinsky J. Obesity prevalence in Latin America. Anales Sis San Navarra 2002;25(Suppl 1):S109-115 |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 1975
Tyrimo tipas: | Išmatuotas |
Amžius: | 20+ |
Imties dydis: | 78031 |
Nuorodos: | 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 |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Vaikai, 2019
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-17 |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Vaikai, 2013-2014
Tyrimo tipas: | Išmatuotas |
Amžius: | 12-17 |
Imties dydis: | 73399 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | Z Score Cut Off (1 to <2) Overweight, >2 Obesity |
Cutoffs: | WHO |
Vaikai, 2009-2011
Tyrimo tipas: | Išmatuotas |
Amžius: | 7-10 |
Imties dydis: | 1947 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | The subject was classified as underweight, normal weight, overweight, or living with obesity, according to the categories proposed by Conde and Monteiro. |
Cutoffs: | Other |
Vaikai, 2008-2009
Tyrimo tipas: | Išmatuotas |
Amžius: | 5-9 |
Imties dydis: | 17491 |
Teritorija: | Nacionalinis |
Nuorodos: | http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008_2009/POFpublicacao.pdf |
Pastabos (tik anglų k.): | WHO 2007 Cut off |
Cutoffs: | WHO |
Vaikai, 2002
Tyrimo tipas: | Išmatuotas |
Amžius: | 7-10 |
Imties dydis: | 2936 |
Teritorija: | Regiono |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | 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 |
Vaikai, 1997
Tyrimo tipas: | Išmatuotas |
Amžius: | 5-17 |
Imties dydis: | 4875 |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | 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 |
Vaikai, 1989
Tyrimo tipas: | Išmatuotas |
Amžius: | 10 |
Imties dydis: | 783 |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | 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 |
Vaikai, 1974
Tyrimo tipas: | Išmatuotas |
Amžius: | 5-17 |
Imties dydis: | 56295 |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | 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 |
% suaugusiųjų serga nutukimu, 1975-2019
Moterys
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Vyrai
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
% suaugusiųjų turi antsvorio arba serga nutukimu, 1975-2019
Moterys
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Vyrai
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
% suaugusiųjų serga nutukimu, 2006-2019
Moterys
Tyrimo tipas: | Deklaravo patys |
Nuorodos: | 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 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Men and women
Tyrimo tipas: | Deklaravo patys |
Nuorodos: | 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 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Vyrai
Tyrimo tipas: | Deklaravo patys |
Nuorodos: | 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 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
% suaugusiųjų turi antsvorio arba serga nutukimu, 2006-2019
Moterys
Tyrimo tipas: | Deklaravo patys |
Nuorodos: | 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 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Men and women
Tyrimo tipas: | Deklaravo patys |
Nuorodos: | 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 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Vyrai
Tyrimo tipas: | Deklaravo patys |
Nuorodos: | 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 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
% suaugusiųjų serga nutukimu, atrinktos šalys, 1960-2022
Vyrai
Nuorodos: | 1960, 1971, 1973, 1976, 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1992, 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: Instituto Nacional de Estadistica e Informática - INEI/Perú and Macro International. 2001. Perú Encuesta Demográfica y de Salud Familiar 2000. Lima, Perú: INEI/Perú and Macro International. 2001: 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 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. 2005: Cayemittes, Michel, Marie Florence Placide, Soumaïla Mariko, Bernard Barrère, Blaise Sévère, and Canez Alexandre. 2007. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2005-2006. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population, Institut Haïtien de l’Enfance and Macro International. 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: Instituto Nacional de Estadística e Informática - INEI/Peru and ORC Macro. 2009. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2007-2008. Lima, Perú: INEI/Peru and ORC Macro. 2008: Ramirez-Zea M, Kroker-Lobos MF, Close-Fernandez R, Kanter R. The double burden of malnutrition in indigenous and nonindigenous Guatemalan populations. Am J Clin Nutr. 2014 Dec;100(6):1644S-51S. doi: 10.3945/ajcn.114.083857 2009: 2nd 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 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 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: 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: Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. 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: Encuesta Nacional de Salud. Chile. 2016-2017 https://www.minsal.cl/wp-content/uploads/2017/11/ENS-2016-17_PRIMEROS-RESULTADOS.pdf (Last accessed 04.08.20) 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: Bahamas STEPS Survey (Preliminary results) https://www.bahamas.gov.bs/wps/wcm/connect/891fac39-ad7d-4aa8-ac54-39912a1afcea/Preliminary+Factsheet+v7+%28med+resl%27n%29.pdf?MOD=AJPERES (Accessed 03.11.2020) 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 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Moterys
Nuorodos: | 1960, 1971, 1973, 1976, 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1992, 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: Instituto Nacional de Estadistica e Informática - INEI/Perú and Macro International. 2001. Perú Encuesta Demográfica y de Salud Familiar 2000. Lima, Perú: INEI/Perú and Macro International. 2001: 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 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. 2005: Cayemittes, Michel, Marie Florence Placide, Soumaïla Mariko, Bernard Barrère, Blaise Sévère, and Canez Alexandre. 2007. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2005-2006. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population, Institut Haïtien de l’Enfance and Macro International. 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: Instituto Nacional de Estadística e Informática - INEI/Peru and ORC Macro. 2009. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2007-2008. Lima, Perú: INEI/Peru and ORC Macro. 2008: Ramirez-Zea M, Kroker-Lobos MF, Close-Fernandez R, Kanter R. The double burden of malnutrition in indigenous and nonindigenous Guatemalan populations. Am J Clin Nutr. 2014 Dec;100(6):1644S-51S. doi: 10.3945/ajcn.114.083857 2009: 2nd 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 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 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: 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: Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. 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: Encuesta Nacional de Salud. Chile. 2016-2017 https://www.minsal.cl/wp-content/uploads/2017/11/ENS-2016-17_PRIMEROS-RESULTADOS.pdf (Last accessed 04.08.20) 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: Bahamas STEPS Survey (Preliminary results) https://www.bahamas.gov.bs/wps/wcm/connect/891fac39-ad7d-4aa8-ac54-39912a1afcea/Preliminary+Factsheet+v7+%28med+resl%27n%29.pdf?MOD=AJPERES (Accessed 03.11.2020) 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 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
% suaugusiųjų serga nutukimu, atrinktos šalys, 1960-2023
Vyrai
Nuorodos: | 1960, 1971, 1973, 1976, 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: Royal College of Physicians (1983). Obesity. Reprinted from the Journal of the Royal College of Physicians of London Vol 17 (No 1) January 1983 1982: 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 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 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 1993: Health Survey for England 1993. 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Health Survey for England 1997. 1998: Rodriguez-Ojea A, Jimenez S, Berdasco A and Esquivel M. (2002). The Nutrition transition in Cuba in the nineties: an overview. Public Health Nutrition, 5 (1A): 129 - 133. 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: Berg C, Rosengeren A, Aires N, Lappas G, Toren K, Thelle D and Lissner L. (2005). Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO, 29 (8): 916 - 924. 2003: Health Survey for England 2003. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Craig R and Shelton N. (2008). Health Survey for England 2007. Healthy Lifestyles: Knowledge, attitudes and Behaviour. Volume 1. The NHS Information Centre, Leeds. 2008: Health Survey for England 2008. 2009: Health Survey for England 2009 2010: Health Survey for England 2010 2011: Health Survey for England 2011 (http://www.ic.nhs.uk/searchcatalogue?productid=10152&returnid=1685 last accessed 7th January 2013) 2012: Health survey for England 2012 http://www.hscic.gov.uk/catalogue/PUB13219 2013: Health Survey for England 2013 2014: Health Survey for England 2014 http://www.hscic.gov.uk/catalogue/PUB19297 (last accessed 16th December 2015) 2015: Health Survey for England 2015. Available at: http://content.digital.nhs.uk/searchcatalogue?productid=23711&returnid=1685 (last accessed 14th December 2016) 2016: Health Survey for England 2016. Available at: https://digital.nhs.uk/catalogue/PUB30169 (last accessed 13 December 2017) 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: Health Survey for England 2018. https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2018/health-survey-for-england-2018-data-tables (last accessed 03.012.19) 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: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Moterys
Nuorodos: | 1960, 1971, 1973, 1976, 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: Royal College of Physicians (1983). Obesity. Reprinted from the Journal of the Royal College of Physicians of London Vol 17 (No 1) January 1983 1982: 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 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 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 1993: Health Survey for England 1993. 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Health Survey for England 1997. 1998: Rodriguez-Ojea A, Jimenez S, Berdasco A and Esquivel M. (2002). The Nutrition transition in Cuba in the nineties: an overview. Public Health Nutrition, 5 (1A): 129 - 133. 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: Berg C, Rosengeren A, Aires N, Lappas G, Toren K, Thelle D and Lissner L. (2005). Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO, 29 (8): 916 - 924. 2003: Health Survey for England 2003. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Craig R and Shelton N. (2008). Health Survey for England 2007. Healthy Lifestyles: Knowledge, attitudes and Behaviour. Volume 1. The NHS Information Centre, Leeds. 2008: Health Survey for England 2008. 2009: Health Survey for England 2009 2010: Health Survey for England 2010 2011: Health Survey for England 2011 (http://www.ic.nhs.uk/searchcatalogue?productid=10152&returnid=1685 last accessed 7th January 2013) 2012: Health survey for England 2012 http://www.hscic.gov.uk/catalogue/PUB13219 2013: Health Survey for England 2013 2014: Health Survey for England 2014 http://www.hscic.gov.uk/catalogue/PUB19297 (last accessed 16th December 2015) 2015: Health Survey for England 2015. Available at: http://content.digital.nhs.uk/searchcatalogue?productid=23711&returnid=1685 (last accessed 14th December 2016) 2016: Health Survey for England 2016. Available at: https://digital.nhs.uk/catalogue/PUB30169 (last accessed 13 December 2017) 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: Health Survey for England 2018. https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2018/health-survey-for-england-2018-data-tables (last accessed 03.012.19) 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: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Antsvoris / nutukimas pagal išsilavinimą
Vyrai, 2019
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Imties dydis: | 52443 |
Teritorija: | Regiono |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District Education based on years of education |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Moterys, 2019
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Imties dydis: | 52443 |
Teritorija: | Regiono |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District Education based on years of education |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2011
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Imties dydis: | Approx. 54,000 |
Teritorija: | Regiono |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | Prevalence of overweight and obesity by educational level (years of study) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2008-2010
Tyrimo tipas: | Išmatuotas |
Amžius: | 20-59 |
Imties dydis: | 527 |
Teritorija: | Regional - N.Eastern Brazil |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | < elementary school, corresponding to 9 years or less of schooling, and ≥incomplete high school, corresponding to more than 9 years of education. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Berniukai, 2007
Tyrimo tipas: | Išmatuotas |
Amžius: | 7-14 |
Imties dydis: | 2826 |
Teritorija: | Subnational - Municipality of Florianópolis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | 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 |
Merginos, 2007
Tyrimo tipas: | Išmatuotas |
Amžius: | 7-14 |
Imties dydis: | 2826 |
Teritorija: | Subnational - Municipality of Florianópolis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | 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 |
Antsvoris / nutukimas pagal amžių
Suaugusieji, 2019
Tyrimo tipas: | Išmatuotas |
Imties dydis: | 8057 |
Teritorija: | Nacionalinis |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2019
Tyrimo tipas: | Deklaravo patys |
Imties dydis: | 52443 |
Teritorija: | Regiono |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2013
Tyrimo tipas: | Išmatuotas |
Imties dydis: | 59402 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2008-2009
Tyrimo tipas: | Išmatuotas |
Imties dydis: | 121081 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Vaikai, 2013-2014
Tyrimo tipas: | Išmatuotas |
Imties dydis: | 73399 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Apibrėžimai (anglų k.): | WHO |
Cutoffs: | WHO |
Vaikai, 2009-2011
Tyrimo tipas: | Išmatuotas |
Imties dydis: | 4140 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | The subject was classified as underweight, normal weight, overweight, or obese, according to the categories proposed by Conde and Monteiro. |
Cutoffs: | Other |
Antsvoris / nutukimas pagal regioną
Vyrai, 2019
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Imties dydis: | 52443 |
Teritorija: | Regiono |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Moterys, 2019
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Imties dydis: | 52443 |
Teritorija: | Regiono |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | Data from Capitals of 26 Brazilian States and the Federal District |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2012
Tyrimo tipas: | Deklaravo patys |
Amžius: | 18+ |
Imties dydis: | Approx 54000 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | 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. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Berniukai, 2004-2005
Tyrimo tipas: | Išmatuotas |
Amžius: | 10-15 |
Imties dydis: | 36976 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | International cut-off BMI values were used for the evaluation of nutritional status (Cole et al) |
Cutoffs: | IOTF |
Merginos, 2004-2005
Tyrimo tipas: | Išmatuotas |
Amžius: | 10-15 |
Imties dydis: | 36976 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | International cut-off BMI values were used for the evaluation of nutritional status (Cole et al) |
Cutoffs: | IOTF |
Antsvoris / nutukimas pagal socialinę-ekonominę būklę
Suaugusieji, 2008-2010
Tyrimo tipas: | Išmatuotas |
Amžius: | 20-59 |
Imties dydis: | 527 |
Teritorija: | Regional - N. Eastern Brazil |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | WHO BMI classification of 1995 used for Adults. Median family income, R$1000.00, or $492.02. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Vaikai, 2010
Tyrimo tipas: | Išmatuotas |
Amžius: | 6-10 |
Imties dydis: | 939 |
Teritorija: | Municipality of Cruzeiro do Oeste, Southern Brazil. |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | The socioeconomic status was defined through a questionnaire of economic classification by the Brazilian Association of Research Companies – Associa√ß√£o 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 |
Vaikai, 2008-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 6-17 |
Imties dydis: | 5962 |
Teritorija: | 11 towns around the Itaipu Lake, Western Paraná |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | IOTF Cut-offs used Socioeconomic status (SES) was defined as A (highest), B, C, and D (lowest) |
Cutoffs: | IOTF |
Berniukai, 2007
Tyrimo tipas: | Išmatuotas |
Amžius: | 7-14 |
Imties dydis: | 2826 |
Teritorija: | Municipality of Florianópolis |
Nuorodos: | 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. |
Pastabos (tik anglų k.): | 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$500.00 For the analyses, the schoolchildren were classified into two groups: not overweight or obese (values equivalent to BMI < 25kg/m2 in adults) and overweight or obese (values equivalent to BMI > 25kg/m2 in adults) |
Cutoffs: | Other |
Merginos, 2007
Tyrimo tipas: | Išmatuotas |
Amžius: | 7-14 |
Imties dydis: | 2826 |
Teritorija: | Municipality of Florianópolis |
Nuorodos: | Bernardo, Carla de Oliveira, & Vasconcelos, Francisco de Assis Guedes de. (2012). Association of parents' nutritional status, and sociodemographic and dietary factors with overweight/obesity in schoolchildren 7 to 14 years old. Cadernos de Saúde Pública,28(2), 291-304. Retrieved April 04, 2016, from http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2012000200008&lng=en&tlng=en. |
Pastabos (tik anglų k.): | Prevalence of obesity based on income (per capita monthly income R$). 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 |
Nepakankamas fizinis aktyvumas
Suaugusieji, 2016
Nuorodos: | 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 |
Vyrai, 2016
Nuorodos: | 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 |
Moterys, 2016
Nuorodos: | 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 |
Vaikai, 2016
Tyrimo tipas: | Deklaravo patys |
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Berniukai, 2016
Tyrimo tipas: | Deklaravo patys |
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Merginos, 2016
Tyrimo tipas: | Deklaravo patys |
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Vaikai, 2010
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Berniukai, 2010
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Merginos, 2010
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Suaugusieji, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 25+ |
Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Apibrėžimai (anglų k.): | Estimated per-capita fruit intake (g/day) |
Perdirbtos mėsos suvartojimas vienam gyventojui
Suaugusieji, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 25+ |
Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Apibrėžimai (anglų k.): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Suaugusieji, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 25+ |
Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Apibrėžimai (anglų k.): | Estimated per-capita whole grains intake (g/day) |
Psichinė sveikata – depresijos sutrikimai
Suaugusieji, 2015
Nuorodos: | 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. |
Apibrėžimai (anglų k.): | % of population with depression disorders |
Psichinė sveikata – nerimo sutrikimai
Suaugusieji, 2015
Nuorodos: | 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. |
Apibrėžimai (anglų k.): | % of population with anxiety disorders |
% kūdikių, tik žindomų 0–5 mėn.
Vaikai, 1998-2019
Teritorija: | Nacionalinis |
Nuorodos: | Pesquisa nacional de demografia e saúde da criança e da mulher - PNDS 2006. Relatório da pesquisa. Sao Paulo: CEBRAP, 2008 |
Pastabos (tik anglų k.): | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
Apibrėžimai (anglų k.): | % exclusively breastfed 0-5 months |
Stemplės vėžys
Vyrai, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Krūties vėžys
Moterys, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Storosios žarnos vėžys
Vyrai, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Kasos vėžys
Vyrai, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Tulžies pūslės vėžys
Vyrai, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Inkstų vėžys
Vyrai, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Gimdos vėžys
Moterys, 2020
Amžius: | 20+ |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Padidėjęs kraujospūdis
Suaugusieji, 2015
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Apibrėžimai (anglų k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vyrai, 2015
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Apibrėžimai (anglų k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Moterys, 2015
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Apibrėžimai (anglų k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Padidėjęs cholesterolio kiekis
Suaugusieji, 2008
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Apibrėžimai (anglų k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vyrai, 2008
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Apibrėžimai (anglų k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Moterys, 2008
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Apibrėžimai (anglų k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Padidėjęs gliukozės kiekis kraujyje nevalgius
Vyrai, 2014
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Apibrėžimai (anglų k.): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Moterys, 2014
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Apibrėžimai (anglų k.): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabeto paplitimas
Suaugusieji, 2021
Amžius: | 20-79 |
Teritorija: | Nacionalinis |
Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Apibrėžimai (anglų k.): | Age-adjusted comparative prevalence of diabetes, % |
Suaugusieji, 2019
Amžius: | 20-79 |
Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Apibrėžimai (anglų k.): | Diabetes age-adjusted comparative prevalence (%). |
Suaugusieji, 2017
Nuorodos: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Apibrėžimai (anglų k.): | Diabetes age-adjusted comparative prevalence (%). |
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)? | Incoming |
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? | Absent |
Comprehensive nutrition strategy? | Present |
Comprehensive physical activity strategy? | Present |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Present |
Guidelines/policy on obesity treatment? | 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
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated June 9, 2023
Download contextual factors as a PDF Contextual factors definitions