Gvatemala
- Apžvalga
- Nutukimo paplitimas
- Tendencijos
- Gyventojų pasiskirstymas
- Paskatos
- Gretutinės ligos
- Ekonominis poveikis
- Politikos (tik anglų k.)
- Contextual factors
Įkeliami duomenys, palaukite...
Nacionalin? nutukimo rizika *8/10This 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 vaikyst?je rizika *7/11This 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
Nepakankamas aktyvumas
Gaiviųjų gėrimų vartojimas
Vaisių vartojimas
Daržovių vartojimas
Greito maisto vartojimas
Perdirbtos mėsos vartojimas
Grūdų vartojimas
Depresija
Nerimas
Nutukimo šaknys »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Maitinimas krūtimi
Atsisiųsti ataskaitos kortelę
Gretutinės ligos
Ekonominis poveikis
Politikos (tik anglų k.)
Contextual factors
Nutukimo paplitimas
Moterys, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-49 |
Imties dydis: | 1182 |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Pastabos (tik angl? k.): | Non-pregnant women |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. |
Moterys, 2014-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-49 |
Imties dydis: | 23891 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik angl? k.): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. |
Moterys, 2008
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-49 |
Imties dydis: | 15119 |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Pastabos (tik angl? k.): | This study used data from ENSMI, Encuesta Nacional de Salud Materno Infantil (National Maternal and Child Health Survey) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. |
Moterys, 1998-1999
Tyrimo tipas: | Išmatuotas |
Amžius: | 18-49 |
Imties dydis: | 2318 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik angl? k.): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. ENSNI-98/99 recorded the basic measurements of height and weight of the women who gave birth to a live-born child since January 1993. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. |
Moterys, 1995
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-49 |
Imties dydis: | 4978 |
Nuorodos: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Pastabos (tik angl? k.): | The data from this paper was sourced from the Demographic Health Survey Programme https://dhsprogram.com/ Central Statistical Office and Macro International. Calverton, Maryland, USA |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. |
Vaikai, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 10-14 |
Imties dydis: | 560 |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Pastabos (tik angl? k.): | Small sample size. |
Cutoffs: | WHO 2007 |
Vaikai, 2015
Tyrimo tipas: | Deklaravo patys |
Amžius: | 13-17 |
Imties dydis: | 4374 |
Teritorija: | Nacionalinis |
Nuorodos: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/gshs_fs_guatemala_2015.pdf (last accessed 28.09.20) |
Cutoffs: | WHO |
Merginos, 2014-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-19 |
Imties dydis: | 1086 |
Teritorija: | Nacionalinis |
Nuorodos: | Mazariegos M, Kroker-Lobos MF, Ramírez-Zea M. Socio-economic and ethnic disparities of malnutrition in all its forms in Guatemala. Public Health Nutr. 2020 Aug;23(S1):s68-s76. doi: 10.1017/S1368980019002738. Epub 2019 Oct 7. PMID: 31588883. |
Cutoffs: | WHO |
Vaikai, 2009
Tyrimo tipas: | Deklaravo patys |
Amžius: | 13-15 |
Imties dydis: | 5592 |
Teritorija: | Nacionalinis |
Nuorodos: | Global School-based Student Health Survey, Fact Sheet available at https://www.who.int/ncds/surveillance/gshs/Guatemala_2009_FS.pdf (last accessed 25.11.20) |
Cutoffs: | WHO |
Infants, 2014-2015
Amžius: | 0-5 |
Imties dydis: | 12585 |
Nuorodos: | DHS: Encuesta Nacional de Salud Materno Infantil 2014-2015. Ciudad de Guatemala, Guatemala, 2015. |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 2008-2009
Amžius: | 0-5 |
Imties dydis: | 10927 |
Nuorodos: | RHS: Encuesta nacional de salud materno infantil 2008 (ENSMI-2008/09). Ciudad de Guatemala, Guatemala: Ministerio de Salud Pública, MSPAS, INE y CDC, 2010 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 2002
Amžius: | 0-5 |
Imties dydis: | 5597 |
Nuorodos: | RHS: Guatemala encuesta nacional de salud materno infantil 2002. Ciudad de Guatemala, Republica de Guatemala: Oscar de Leon Palacios, 2003 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 2000
Amžius: | 0-5 |
Imties dydis: | 1618046 |
Nuorodos: | LSMS: Guatemala Living Standards Measurement Survey 2000. Washington DC, United States: World Bank. |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1998-1999
Amžius: | 0-5 |
Imties dydis: | 3634 |
Nuorodos: | IDHS: Encuesta nacional de salud materno infantil 1998-1999. Demographic and Health Surveys. Ciudad de Guatemala, Guatemala, 1999 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1995
Amžius: | 0-5 |
Imties dydis: | 7877 |
Nuorodos: | DHS: Encuesta nacional de salud materno infantil 1995. Demographic and Health Surveys. Ciudad de Guatemala, Guatemala, 1996 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1987
Amžius: | 0-5 |
Imties dydis: | 2246 |
Nuorodos: | DHS: Encuesta nacional de salud materno infantil 1987. Demographic and Health Surveys. Ministerio de Salud Publica y Asistencia Social. Guatemala, Central America, 1989 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
% Adults living with obesity in Guatemala 1995-2017
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 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. 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 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. 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 |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, tod?l skirting? tyrim? duomenys gali neb?ti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomen? šaltiniuose. |
% Adults living with overweight or obesity in Guatemala 1995-2017
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 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. 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 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. 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 |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, tod?l skirting? tyrim? duomenys gali neb?ti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomen? šaltiniuose. |
% Adults living with obesity in selected countries in the Americas Region 1960-2018, atrinktos šalys
Vyrai
Nuorodos: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, tod?l skirting? tyrim? duomenys gali neb?ti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomen? šaltiniuose. |
Moterys
Nuorodos: | 1960, 1971, 1973, 1976, 1988, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 2005: 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, tod?l skirting? tyrim? duomenys gali neb?ti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomen? šaltiniuose. |
Antsvoris / nutukimas pagal išsilavinim?
Moterys, 2014-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-49 |
Imties dydis: | 23891 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik angl? k.): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. |
Merginos, 2014-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-19 |
Imties dydis: | 1086 |
Teritorija: | Nacionalinis |
Nuorodos: | Mazariegos M, Kroker-Lobos MF, Ramírez-Zea M. Socio-economic and ethnic disparities of malnutrition in all its forms in Guatemala. Public Health Nutr. 2020 Aug;23(S1):s68-s76. doi: 10.1017/S1368980019002738. Epub 2019 Oct 7. PMID: 31588883. |
Cutoffs: | WHO |
Infants, 2014-2015
Imties dydis: | 12585 |
Nuorodos: | DHS: Encuesta Nacional de Salud Materno Infantil 2014-2015. Ciudad de Guatemala, Guatemala, 2015. |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1998-1999
Imties dydis: | 3634 |
Nuorodos: | IDHS: Encuesta nacional de salud materno infantil 1998-1999. Demographic and Health Surveys. Ciudad de Guatemala, Guatemala, 1999 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1995
Imties dydis: | 7877 |
Nuorodos: | DHS: Encuesta nacional de salud materno infantil 1995. Demographic and Health Surveys. Ciudad de Guatemala, Guatemala, 1996 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1987
Imties dydis: | 2246 |
Nuorodos: | DHS: Encuesta nacional de salud materno infantil 1987. Demographic and Health Surveys. Ministerio de Salud Publica y Asistencia Social. Guatemala, Central America, 1989 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Antsvoris / nutukimas pagal amži?
Moterys, 2014-2015
Tyrimo tipas: | Išmatuotas |
Imties dydis: | 23891 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik angl? k.): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. |
Vaikai, 2015
Tyrimo tipas: | Deklaravo patys |
Imties dydis: | 4374 |
Teritorija: | Nacionalinis |
Nuorodos: | Global School-based Student Health Survey, Guatemala ,2015 Fact Sheet https://www.who.int/ncds/surveillance/gshs/gshs_fs_guatemala_2015.pdf (last accessed 28.09.20) |
Cutoffs: | WHO |
Antsvoris / nutukimas pagal region?
Moterys, 2014-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-49 |
Imties dydis: | 23891 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik angl? k.): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. |
Berniukai, 2015
Tyrimo tipas: | Deklaravo patys |
Amžius: | 13-17 |
Imties dydis: | 4374 |
Teritorija: | Nacionalinis |
Nuorodos: | World Health Organization. Global school-based student health survey (GSHS). Available from: https://www.who.int/ncds/surveillance/gshs/factsheets/en/. [Accessed 20 February 2019]. |
Pastabos (tik angl? k.): | WHO cut-offs used and based on Self-reported data. |
Cutoffs: | WHO |
Merginos, 2015
Tyrimo tipas: | Deklaravo patys |
Amžius: | 13-17 |
Imties dydis: | 4374 |
Teritorija: | Nacionalinis |
Nuorodos: | World Health Organization. Global school-based student health survey (GSHS). Available from: https://www.who.int/ncds/surveillance/gshs/factsheets/en/. [Accessed 20 February 2019]. |
Pastabos (tik angl? k.): | WHO cut-offs used and based on Self-reported data. |
Cutoffs: | WHO |
Infants, 2014-2015
Imties dydis: | 12585 |
Nuorodos: | DHS: Encuesta Nacional de Salud Materno Infantil 2014-2015. Ciudad de Guatemala, Guatemala, 2015. |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 2008-2009
Imties dydis: | 10927 |
Nuorodos: | RHS: Encuesta nacional de salud materno infantil 2008 (ENSMI-2008/09). Ciudad de Guatemala, Guatemala: Ministerio de Salud Pública, MSPAS, INE y CDC, 2010 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 2002
Imties dydis: | 5597 |
Nuorodos: | RHS: Guatemala encuesta nacional de salud materno infantil 2002. Ciudad de Guatemala, Republica de Guatemala: Oscar de Leon Palacios, 2003 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 2000
Imties dydis: | 1618046 |
Nuorodos: | LSMS: Guatemala Living Standards Measurement Survey 2000. Washington DC, United States: World Bank. |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1998-1999
Imties dydis: | 3634 |
Nuorodos: | IDHS: Encuesta nacional de salud materno infantil 1998-1999. Demographic and Health Surveys. Ciudad de Guatemala, Guatemala, 1999 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1995
Imties dydis: | 7877 |
Nuorodos: | DHS: Encuesta nacional de salud materno infantil 1995. Demographic and Health Surveys. Ciudad de Guatemala, Guatemala, 1996 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1987
Imties dydis: | 2246 |
Nuorodos: | DHS: Encuesta nacional de salud materno infantil 1987. Demographic and Health Surveys. Ministerio de Salud Publica y Asistencia Social. Guatemala, Central America, 1989 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Antsvoris / nutukimas pagal socialin?-ekonomin? b?kl?
Moterys, 2014-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-49 |
Imties dydis: | 23891 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Pastabos (tik angl? k.): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesn? nei 30 kg/m² KMI.. |
Merginos, 2014-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-19 |
Imties dydis: | 4487 |
Teritorija: | Nacionalinis |
Nuorodos: | Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. 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. |
Apibr?žimai (angl? k.): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2014-2015
Imties dydis: | 12585 |
Nuorodos: | DHS: Encuesta Nacional de Salud Materno Infantil 2014-2015. Ciudad de Guatemala, Guatemala, 2015. |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1998-1999
Imties dydis: | 3634 |
Nuorodos: | IDHS: Encuesta nacional de salud materno infantil 1998-1999. Demographic and Health Surveys. Ciudad de Guatemala, Guatemala, 1999 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
Infants, 1995
Imties dydis: | 7877 |
Nuorodos: | DHS: Encuesta nacional de salud materno infantil 1995. Demographic and Health Surveys. Ciudad de Guatemala, Guatemala, 1996 |
Pastabos (tik angl? k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Apibr?žimai (angl? k.): | =>+2SD |
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 angl? 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. |
Apibr?žimai (angl? 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 angl? 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. |
Apibr?žimai (angl? 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 angl? 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. |
Apibr?žimai (angl? 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 angl? 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. |
Apibr?žimai (angl? 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 angl? 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. |
Apibr?žimai (angl? 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 angl? 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. |
Apibr?žimai (angl? k.): | % Adolescents insufficiently active (age standardised estimate) |
Vidutinis kasdienis gazuot? gaivi?j? g?rim? vartojimo dažnis
Vaikai, 2009-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 12-17 |
Nuorodos: | 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
Suaugusieji, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 25+ |
Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Apibr?žimai (angl? k.): | Estimated per-capita fruit intake (g/day) |
Vaisi? vartojimo re?iau nei kart? per dien? paplitimas
Vaikai, 2009-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 12-17 |
Nuorodos: | 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 |
Apibr?žimai (angl? k.): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Daržovi? vartojimo re?iau nei kart? per dien? paplitimas
Vaikai, 2009-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 12-17 |
Nuorodos: | 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 |
Apibr?žimai (angl? k.): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Vidutinis savaitinis greito maisto vartojimo dažnis
Vaikai, 2009-2015
Amžius: | 12-17 |
Nuorodos: | 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 |
Perdirbtos m?sos 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/ |
Apibr?žimai (angl? 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/ |
Apibr?žimai (angl? k.): | Estimated per-capita whole grains intake (g/day) |
Psichin? 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. |
Apibr?žimai (angl? k.): | % of population with depression disorders |
Psichin? 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. |
Apibr?žimai (angl? k.): | % of population with anxiety disorders |
% k?diki?, tik žindom? 0–5 m?n.
Vaikai, 1998-2019
Teritorija: | Nacionalinis |
Nuorodos: | Encuesta Nacional de Salud Materno Infantil 2014-2015. Ciudad de Guatemala, Guatemala, 2015. |
Pastabos (tik angl? 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. |
Apibr?žimai (angl? k.): | % exclusively breastfed 0-5 months |
Stempl?s v?žys
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 10.01.2163 |
Apibr?žimai (angl? 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 10.01.2163 |
Apibr?žimai (angl? k.): | Age-standardized indicence rates per 100 000 |
Kr?ties v?žys
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 10.01.2163 |
Apibr?žimai (angl? k.): | Age-standardized indicence rates per 100 000 |
Storosios žarnos v?žys
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 10.01.2163 |
Apibr?žimai (angl? 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 10.01.2163 |
Apibr?žimai (angl? k.): | Age-standardized indicence rates per 100 000 |
Kasos v?žys
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 10.01.2163 |
Apibr?žimai (angl? 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 10.01.2163 |
Apibr?žimai (angl? k.): | Age-standardized indicence rates per 100 000 |
Tulžies p?sl?s v?žys
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 10.01.2163 |
Apibr?žimai (angl? 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 10.01.2163 |
Apibr?žimai (angl? k.): | Age-standardized indicence rates per 100 000 |
Inkst? v?žys
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 10.01.2163 |
Apibr?žimai (angl? 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 10.01.2163 |
Apibr?žimai (angl? k.): | Age-standardized indicence rates per 100 000 |
Gimdos v?žys
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 10.01.2163 |
Apibr?žimai (angl? k.): | Age-standardized indicence rates per 100 000 |
Padid?j?s kraujosp?dis
Suaugusieji, 2015
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Apibr?žimai (angl? 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 |
Apibr?žimai (angl? 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 |
Apibr?žimai (angl? k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Padid?j?s cholesterolio kiekis
Suaugusieji, 2008
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Apibr?žimai (angl? 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 |
Apibr?žimai (angl? 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 |
Apibr?žimai (angl? k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Padid?j?s gliukoz?s 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 |
Apibr?žimai (angl? 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 |
Apibr?žimai (angl? 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 |
Apibr?žimai (angl? 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 |
Apibr?žimai (angl? 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 |
Apibr?žimai (angl? 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? | Absent |
Back-of-pack nutrition declaration? | Present |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Present |
Tax on unhealthy foods? | Absent |
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)? | Absent |
Mandatory limit of trans fats in place (all settings)? | Absent |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
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? | Absent |
National childhood obesity strategy? | Present |
Comprehensive nutrition strategy? | Absent |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Present |
Guidelines/policy on obesity treatment? | Absent |
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? | Incoming |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Absent |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions