Argentiina
- Ülevaade
- Rasvumise levimus
- Trendid ajas
- Rahvastiku jaotus
- Tegurid
- Kaasnevad haigused
- Majanduslik mõju
- Strateegiad
- Contextual factors
Info laeb. Palun oodake!
Riiklik rasvumisrisk *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.Laste rasvumise oht *8,5/11This 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).
Rasvumise levimus
Trendid ajas
Laadi alla aruanne
Aruandekaardil on esitatud kõik antud riigi uusimad diagrammid. Kui soovite koostada valitud diagrammide alusel kohandatud aruande, puudutage soovitud disgrammide all nuppu „Lisa kohandatud PDF-failile“.Rahvastiku jaotus
Tegurid
Ebapiisav aktiivsus
Karastusjookide tarbimine
Puuvilja tarbimine
Köögivilja tarbimine
Kiirtoidu tarbimine
Töödeldud liha tarbimine
Teravilja tarbimine
Depressioon
Ärevus
Rasvumise algpõhjused »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Imetamine
Laadi alla aruanne
Kaasnevad haigused
Majanduslik mõju
Strateegiad
Riiklik rasvumisvastane strateegia
Toitumis- või tervisestrateegia
Turundus
Füüsiline aktiivsus
Toidu või jookide maksustamine/subsideerimine
Märgistamine
MNH strateegia
Multidisciplinary Intervention
Ravijuhiste kasutamine
School Food Regulations
Imetamine
Obesity Target
Multisectoral national mechanism for obesity
Laadi alla aruanne
Contextual factors
Rasvumise levimus
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 16577 |
Hõlmatud piirkond: | Riiklik |
Viited: | 4° Encuesta Nacional de Factores de Riesgo. Resultados definitivos. 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) |
Märkused: | Self report data also available in report. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2018-2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 7367 |
Hõlmatud piirkond: | Piirkondlik (linna-) |
Viited: | 2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21) |
Märkused: | Representative of 6 urban regions in Argentina. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2018
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 5000 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Märkused: | Trend also available by Region |
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: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 32365 |
Hõlmatud piirkond: | Riiklik |
Viited: | Third National Survey of Risk Factors for Noncommunicable Diseases. Argentina 2013. https://www.indec.gob.ar/ftp/cuadros/publicaciones/publicacion_enfr_2013.rar (Accessed 24.08.23) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2012-2013
Uuringu tüüp: | Mõõdetud |
Vanus: | 18-70 |
Valimi suurus: | 1194 |
Hõlmatud piirkond: | Piirkondlik |
Viited: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Märkused: | Subnational (Rosario) |
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+ |
Viited: | 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 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2005
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Viited: | 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 |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2003
Uuringu tüüp: | Mõõdetud |
Vanus: | 18-65 |
Valimi suurus: | 1100 |
Hõlmatud piirkond: | Sub National |
Viited: | Virgolini M, & Ferrante D. Validación de la Herramienta de la OPS para vigilancia de ENT en Argentina 2003. Ministerio de Salud y Ambiente de la Nación. WHO Report. (unpublished work). |
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: | 20-79 |
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. Personal Communication by Prof. Rafael Figueredo Grijalba |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Lapsed, 2018-2019
Uuringu tüüp: | Mõõdetud |
Vanus: | 5-17 |
Valimi suurus: | ~8000 |
Hõlmatud piirkond: | Piirkondlik (linna-) |
Viited: | 2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21) |
Märkused: | Representative of 6 urban regions in Argentina. |
Cutoffs: | WHO |
Lapsed, 2018
Uuringu tüüp: | Ise teatatud |
Vanus: | 13-15 |
Valimi suurus: | 56981 |
Hõlmatud piirkond: | Riiklik |
Viited: | Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Cutoffs: | WHO |
Lapsed, 2012
Uuringu tüüp: | Ise teatatud |
Vanus: | 13-15 |
Valimi suurus: | 28368 |
Hõlmatud piirkond: | Riiklik |
Viited: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) |
Märkused: | WHO cutoffs. |
Cutoffs: | WHO |
Lapsed, 2007
Uuringu tüüp: | Ise teatatud |
Vanus: | 13-15 |
Valimi suurus: | 1980 |
Hõlmatud piirkond: | Riiklik |
Viited: | Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 |
Cutoffs: | WHO |
Lapsed, 2005
Uuringu tüüp: | Mõõdetud |
Vanus: | 10 |
Valimi suurus: | 1693 |
Hõlmatud piirkond: | Linna |
Viited: | Kovalskys I, Rausch Herscovici C, De Gregorio MJ. Nutritional status of school-aged children of Buenos Aires, Argentina: data using three references.J Public Health (Oxf). 2011 Sep;33(3):403-11. doi: 10.1093/pubmed/fdq079. Epub 2010 Oct 12. |
Märkused: | IOTF International Cut Off Points Children Aged 11 years also available in the paper |
Cutoffs: | IOTF |
% täiskasvanuist kannatab rasvumise all, 2005-2018
Men and women
Uuringu tüüp: | Ise teatatud |
Viited: | 1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey |
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 |
% lastest kannatab rasvumise all, 2007-2018
Tüdrukud
Uuringu tüüp: | Ise teatatud |
Viited: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
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 |
Poisid
Uuringu tüüp: | Ise teatatud |
Viited: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
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 |
Boys and girls
Uuringu tüüp: | Ise teatatud |
Viited: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
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 |
% täiskasvanuist kannatab rasvumise all, valitud riigid, 1960-2022
Mehed
Viited: | 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 |
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, 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 |
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, 2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 16577 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Mehed, 2012-2013
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 1194 |
Hõlmatud piirkond: | Subnational (Rosario) |
Viited: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Naised, 2012-2013
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 1194 |
Hõlmatud piirkond: | Subnational (Rosario) |
Viited: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2005
Uuringu tüüp: | Ise teatatud |
Vanus: | 18+ |
Valimi suurus: | 41392 |
Hõlmatud piirkond: | Riiklik |
Viited: | "De Maio FG, Linetzky B, Virgolini M. An average/deprivation/inequality (ADI) analysis of chronic disease outcomes and risk factors in Argentina. Popul Health Metr. 2009 Jun 8;7:8. doi: 10.1186/1478-7954-7-8." |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Ülekaalulisus / rasvumine vanuse järgi
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Valimi suurus: | 16577 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Ülekaalulisus / rasvumine sotsiaalmajandusliku grupi järgi
Täiskasvanud, 2018
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 16577 |
Hõlmatud piirkond: | Riiklik |
Viited: | 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) |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Täiskasvanud, 2005-2012
Uuringu tüüp: | Mõõdetud |
Vanus: | 18+ |
Valimi suurus: | 4328 |
Hõlmatud piirkond: | Córdoba (the capital city of the state of Córdoba in the centre of Argentina) |
Viited: | Aballay LR, Osella AR, De La Quintana AG, and Diaz MP. Nutritional profile and obesity: results from a random sample population based study in Córdoba, Argentina. Eur J Nutr DOI 10.1007/s00394-015-0887-0 |
Märkused: | Socio-economic status (SES) was built as a composite indicator following the Argentine Marketing Association’s guidelines, which include four domains: educational level, job, housing, and amenities. |
Kui ei ole märgitud teisiti, tähendab ülekaal KMI vahemikku 25 kg ja 29,9 kg/m², rasvumine KMI-t üle 30 kg/m². |
Ebapiisav füüsiline aktiivsus
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) |
Keskmine päevane gaseeritud karastusjookide tarbimissagedus
Lapsed, 2009-2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 12-17 |
Viited: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
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) |
Puuviljade vähem kui igapäevase tarbimise levimus
Lapsed, 2009-2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 12-17 |
Viited: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Mõisted: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Köögiviljade vähem kui igapäevase tarbimise levimus
Lapsed, 2009-2015
Uuringu tüüp: | Mõõdetud |
Vanus: | 12-17 |
Viited: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Mõisted: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Kiirtoidu tarbimise keskmine nädalane sagedus
Lapsed, 2009-2015
Vanus: | 12-17 |
Viited: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
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, 2015
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 |
Vaimne tervis - ärevushäired
Täiskasvanud, 2015
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 |
0.–5. elukuuni eranditult rinnapiimal imikute %
Lapsed, 1998-2019
Hõlmatud piirkond: | Riiklik |
Viited: | Encuesta de Indicadores Múltiples por Conglomerados 2011/2012, Informe Final. Buenos Aires, Argentina |
Märkused: | 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. |
Mõisted: | % exclusively breastfed 0-5 months |
Söögitoruvähk
Mehed, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Rinnavähk
Naised, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Pärasoolevähk
Mehed, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Kõhunäärmevähk
Mehed, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Sapipõie vähk
Mehed, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Neeruvähk
Mehed, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Naised, 2020
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 10.01.2031 |
Mõisted: | Age-standardized indicence rates per 100 000 |
Emakavähk
Naised, 2020
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 10.01.2031 |
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, 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 (%). |
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? | Present |
Tax on unhealthy foods? | Present |
Tax on unhealthy drinks? | Present |
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? | Absent |
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? | Absent |
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 January 31, 2023
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