Bangladešas
Lower-middle income
- Apžvalga
- Nutukimo paplitimas
- Tendencijos
- Gyventojų pasiskirstymas
- Paskatos
- Gretutinės ligos
- Ekonominis poveikis
- Politikos (tik anglų k.)
- Contextual factors
Report cards
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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
Unaffordable diet
Atsisiųsti ataskaitos kortelę
Gretutinės ligos
Stemplės vėžys
Krūties vėžys
Storosios žarnos vėžys
Kasos vėžys
Tulžies pūslės vėžys
Inkstų vėžys
Gimdos vėžys
Padidėjęs kraujospūdis
Padidėjęs cholesterolio kiekis
Padidėjęs gliukozės kiekis kraujyje nevalgius
Diabeto paplitimas
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Atsisiųsti ataskaitos kortelę
Ekonominis poveikis
Politikos (tik anglų k.)
Contextual factors
Nutukimo paplitimas
Suaugusieji, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 13970 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Pastabos (tik anglų k.): | 8279 Women, 5691 Men |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 18-69 |
| Imties dydis: | 7985 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.2020) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 23861 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) |
| Pastabos (tik anglų k.): | 18328 (ever-married) women, 5533 Men. 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 – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 16478 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2011
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 17416 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2007
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 10021 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. |
| Pastabos (tik anglų k.): | Other married women 15 - 49 years. |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 1995-1996
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 3997 |
| Nuorodos: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Merginos, 2022
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-19 |
| Imties dydis: | 705 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Apibrėžimai (anglų k.): | >1 <2 SD (overweight) +2 SD (obesity) |
| Cutoffs: | WHO 2007 |
Vaikai, 2019-2020
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-19 |
| Imties dydis: | 9128 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Pastabos (tik anglų k.): | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Vaikai, 2018-2019
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 10-19 |
| Imties dydis: | 9772 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Pastabos (tik anglų k.): | 4,907 boys and 4,865 girls NB. Combined child data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 21.10.20)' |
| Cutoffs: | WHO |
Vaikai, 2014
| Tyrimo tipas: | Deklaravo patys |
| Amžius: | 13-17 |
| Imties dydis: | 2989 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/2014-Bangladesh-fact-sheet.pdf?ua=1 (last accessed 24.11.20) |
| Cutoffs: | WHO |
Vaikai, 2009
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 6-15 |
| Imties dydis: | 10135 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Bulbul T and Hoque M. 2014. Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study. BMC Pediatr. 1;14:86. |
| Pastabos (tik anglų k.): | Z score BMI cut-offs used |
| Cutoffs: | WHO |
0-5 years, 2022
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Imties dydis: | 4254 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Bangladesh Demographic Health Survey 2022 |
| Pastabos (tik anglų k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Apibrėžimai (anglų k.): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Amžius: | 0-5 |
| Imties dydis: | 22011 |
| Nuorodos: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2018-2019
| Amžius: | 0-5 |
| Nuorodos: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2017-2018
| Amžius: | 0-5 |
| Imties dydis: | 8113 |
| Nuorodos: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2015
| Amžius: | 0-5 |
| Nuorodos: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2014
| Amžius: | 0-5 |
| Imties dydis: | 7369 |
| Nuorodos: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Teritorija: | Nacionalinis |
| Nuorodos: | State of food security and nutrition in Bangladesh: 2014 |
| Pastabos (tik anglų k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Apibrėžimai (anglų k.): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2013
| Amžius: | 0-5 |
| Imties dydis: | 4029 |
| Nuorodos: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2012-2013
| Amžius: | 0-5 |
| Imties dydis: | 19640 |
| Nuorodos: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2011
| Amžius: | 0-5 |
| Imties dydis: | 7944 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2011-2012
| Amžius: | 0-5 |
| Nuorodos: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2007
| Amžius: | 0-5 |
| Imties dydis: | 5344 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2006
| Amžius: | 0-5 |
| Imties dydis: | 24302 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 2006: data on rural national data (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2005
| Amžius: | 0-5 |
| Imties dydis: | 74758 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 2005: Rural data (using the WHO Child Growth Standards). Unpublished estimates. Dhakar, Bangladesh: HKI and Institute of Public Health Nutrition, 2007. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2004
| Amžius: | 0-5 |
| Imties dydis: | 6083 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2003
| Amžius: | 0-5 |
| Imties dydis: | 86999 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 2003: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2002
| Amžius: | 0-5 |
| Imties dydis: | 53315 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 2002: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2001
| Amžius: | 0-5 |
| Imties dydis: | 63444 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 2001: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1999
| Amžius: | 0-5 |
| Imties dydis: | 49374 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 1999: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1999-1900
| Amžius: | 0-5 |
| Imties dydis: | 5490 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1998
| Amžius: | 0-5 |
| Imties dydis: | 49496 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 1998: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1996
| Amžius: | 0-5 |
| Imties dydis: | 81067 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 1996: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1996-1997
| Amžius: | 0-5 |
| Imties dydis: | 4880 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1995
| Amžius: | 0-5 |
| Imties dydis: | 87051 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 1995: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1994
| Amžius: | 0-5 |
| Imties dydis: | 63753 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 1994: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1993
| Amžius: | 0-5 |
| Imties dydis: | 42826 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 1993: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1992
| Amžius: | 0-5 |
| Imties dydis: | 36997 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 1992: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1991
| Amžius: | 0-5 |
| Imties dydis: | 32493 |
| Nuorodos: | Surveillance: Nutritional Surveillance Project 1991: data on rural national (using the WHO Child Growth Standards). Unpublished estimates. Dhaka, Bangladesh: HKI and Institute of Public Health Nutrition, 2008 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1989-1990
| Amžius: | 0-5 |
| Imties dydis: | 1914 |
| Nuorodos: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1985-1986
| Amžius: | 0-5 |
| Imties dydis: | 2675 |
| Nuorodos: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2022
Moterys
| 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 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Pastabos (tik anglų k.): | Aged 15-49 except in 2022 (aged 20-49) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
| Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. | |
% Adults living with overweight or obesity in Bangladesh 1995-2022
Moterys
| 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 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Pastabos (tik anglų k.): | Aged 15-49 except in 2022 (aged 20-49) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
| Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, atrinktos šalys
Vyrai
| Nuorodos: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Data provided by the Philippean Depatment of Health, Dr C. Barbu, data reanalysed by Dr Charmaine Duante. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Food and Nutrition Research Institute – Department of Science and Technology (FNRI-DOST). 2012. Philippine Nutrition Facts and Figures 2011. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2011 [Accessed 14.07.25] 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Australian National Health Survey 2017-18. http://abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4364.0.55.001~2017-18~Main%20Features~About%20the%20National%20Health%20Survey~5 (accessed 12.12.18) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators (last accessed 19.11.25) 2019: New Zealand Health Survey 2019/20. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: Annual Update of Key Results 2022/23: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2022-23-new-zealand-health-survey [Last accessed 19.11.25] 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Annual Update of Key Results 2024/25: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202425-new-zealand-health-survey [Last accessed 19.11.25] |
| Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. | |
Moterys
| Nuorodos: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Data provided by the Philippean Depatment of Health, Dr C. Barbu, data reanalysed by Dr Charmaine Duante. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Food and Nutrition Research Institute – Department of Science and Technology (FNRI-DOST). 2012. Philippine Nutrition Facts and Figures 2011. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2011 [Accessed 14.07.25] 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Australian National Health Survey 2017-18. http://abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4364.0.55.001~2017-18~Main%20Features~About%20the%20National%20Health%20Survey~5 (accessed 12.12.18) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators (last accessed 19.11.25) 2019: New Zealand Health Survey 2019/20. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: Annual Update of Key Results 2022/23: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2022-23-new-zealand-health-survey [Last accessed 19.11.25] 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Annual Update of Key Results 2024/25: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202425-new-zealand-health-survey [Last accessed 19.11.25] |
| Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. | |
Antsvoris / nutukimas pagal išsilavinimą
Vyrai, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 13970 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 13970 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 18-69 |
| Imties dydis: | 7985 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.20) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 18328 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Vyrai, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 18+ |
| Imties dydis: | 5533 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 16478 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Merginos, 2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-19 |
| Imties dydis: | 1188 |
| 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. National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Apibrėžimai (anglų k.): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
0-5 years, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 4313 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +2 SD |
0-5 years, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 4077 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Bangladesh Demographic Health Survey 2022 |
| Pastabos (tik anglų k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Apibrėžimai (anglų k.): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Imties dydis: | 22011 |
| Nuorodos: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2017-2018
| Imties dydis: | 8113 |
| Nuorodos: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2014
| Imties dydis: | 7369 |
| Nuorodos: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2012-2013
| Imties dydis: | 19640 |
| Nuorodos: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2011
| Imties dydis: | 7944 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2007
| Imties dydis: | 5344 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2004
| Imties dydis: | 6083 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1999-2000
| Imties dydis: | 5490 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1996-1997
| Imties dydis: | 4880 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
Antsvoris / nutukimas pagal amžių
Suaugusieji, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 13970 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2018
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 7985 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.200) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 18328 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF. |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Vyrai, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 5533 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF. |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2014
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 16478 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Vaikai, 2019-2020
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 9128 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Pastabos (tik anglų k.): | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Vaikai, 2018-2019
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 9772 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Pastabos (tik anglų k.): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Antsvoris / nutukimas pagal regioną
Vyrai, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 13970 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 13970 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 18-69 |
| Imties dydis: | 7985 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.20) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 18328 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF. |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Vyrai, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 18+ |
| Imties dydis: | 5533 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF. |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 16478 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 16478 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Merginos, 2022
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-19 |
| Imties dydis: | 705 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +1SD to 2SD />2SD |
Vaikai, 2019-2020
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-19 |
| Imties dydis: | 9128 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Pastabos (tik anglų k.): | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Berniukai, 2018-2019
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 10-19 |
| Imties dydis: | 9772 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Pastabos (tik anglų k.): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Merginos, 2018-2019
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 10-19 |
| Imties dydis: | 9772 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Pastabos (tik anglų k.): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Berniukai, 2009
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 6-15 |
| Imties dydis: | 10135 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Bulbul T and Hoque M. 2014. Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study. BMC Pediatr. 1;14:86. |
| Pastabos (tik anglų k.): | Z score cut-offs used |
| Cutoffs: | Other |
Merginos, 2009
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 6-15 |
| Imties dydis: | 10135 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Bulbul T and Hoque M. 2014. Prevalence of childhood obesity and overweight in Bangladesh: findings from a countrywide epidemiological study. BMC Pediatr. 1;14:86. |
| Pastabos (tik anglų k.): | Z score cut-offs used |
| Cutoffs: | Other |
0-5 years, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 4254 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Bangladesh Demographic Health Survey 2022 |
| Pastabos (tik anglų k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Apibrėžimai (anglų k.): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Imties dydis: | 22011 |
| Nuorodos: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2017-2018
| Imties dydis: | 8113 |
| Nuorodos: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2014
| Imties dydis: | 7369 |
| Nuorodos: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2013
| Imties dydis: | 4029 |
| Nuorodos: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2012-2013
| Imties dydis: | 19640 |
| Nuorodos: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2011
| Imties dydis: | 7944 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2007
| Imties dydis: | 5344 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2004
| Imties dydis: | 6083 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1999-1900
| Imties dydis: | 5490 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1996-1997
| Imties dydis: | 4880 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
Antsvoris / nutukimas pagal socialinę-ekonominę būklę
Vyrai, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 13970 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 13970 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 18-69 |
| Imties dydis: | 7985 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National STEPS Survey for Non-communicable Diseases Risk Factors in Bangladesh 2018. National Institute of Preventive and Social Medicine (NIPSOM) Mohakhali, Dhaka1212 Available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/770 (last accessed 05.10.20) |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 18328 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Vyrai, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 18+ |
| Imties dydis: | 5533 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-49 |
| Imties dydis: | 16478 |
| Teritorija: | Nacionalinis |
| Nuorodos: | National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm |
| Pastabos (tik anglų 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 – didesnį nei 30 kg/m² KMI.. | |
Vaikai, 2019-2020
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 15-19 |
| Imties dydis: | 9128 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Pastabos (tik anglų k.): | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Berniukai, 2018-2019
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 10-19 |
| Imties dydis: | 9772 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Pastabos (tik anglų k.): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
Merginos, 2018-2019
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 10-19 |
| Imties dydis: | 9772 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Urmy, N.J., Hossain, M.M., Shamim, A.A., Khan, M.S.A., Hanif, A.A.M., Hasan, M., Akter, F., Mitra, D.K., Hossaine, M., Ullah, M.A. and Sarker, S.K., 2020. Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey. Osong Public Health and Research Perspectives, 11(6), pp.351-364. |
| Pastabos (tik anglų k.): | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
0-5 years, 2022
| Tyrimo tipas: | Išmatuotas |
| Imties dydis: | 4254 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Bangladesh Demographic Health Survey 2022 |
| Pastabos (tik anglų k.): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Apibrėžimai (anglų k.): | 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. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Imties dydis: | 22011 |
| Nuorodos: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2017-2018
| Imties dydis: | 8113 |
| Nuorodos: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2014
| Imties dydis: | 7369 |
| Nuorodos: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2013
| Imties dydis: | 4029 |
| Nuorodos: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2012-2013
| Imties dydis: | 19640 |
| Nuorodos: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2011
| Imties dydis: | 7944 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2007
| Imties dydis: | 5344 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 2004
| Imties dydis: | 6083 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1999-1900
| Imties dydis: | 5490 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
0-5 years, 1996-1997
| Imties dydis: | 4880 |
| Nuorodos: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Pastabos (tik anglų 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. |
| Apibrėžimai (anglų k.): | =>+2SD |
Double burden of underweight & overweight
Suaugusieji, 2022
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 20+ |
| Nuorodos: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Pastabos (tik anglų k.): | Age Standardised estimates |
| Apibrėžimai (anglų k.): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Vaikai, 2022
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 5-19 |
| Nuorodos: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Pastabos (tik anglų k.): | Age standardised estimates |
| Apibrėžimai (anglų k.): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh Demographic Health Survey 2022 |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2019
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2017-2018
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2007
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh demographic and health survey 2007. DHS. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, and Macro International, 2009 |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2004
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1999-2000
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh demographic and health survey 1999-2000 (DHS). Dhaka, Bangladesh and Calverton, Maryland: National Institute of Population Research and Training, Mitra and Associates, and ORC Macro, 2001 |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1996-1997
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 0-5 |
| Nuorodos: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Pastabos (tik anglų k.): | Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Apibrėžimai (anglų k.): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Nepakankamas fizinis aktyvumas
Suaugusieji, 2022
| Tyrimo tipas: | Deklaravo patys |
| Amžius: | 18+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Apibrėžimai (anglų k.): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Vyrai, 2022
| Tyrimo tipas: | Deklaravo patys |
| Amžius: | 18+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Apibrėžimai (anglų k.): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Moterys, 2022
| Tyrimo tipas: | Deklaravo patys |
| Amžius: | 18+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Apibrėžimai (anglų k.): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Suaugusieji, 2016
| Nuorodos: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Vyrai, 2016
| Nuorodos: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Moterys, 2016
| Nuorodos: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Vaikai, 2016
| Tyrimo tipas: | Deklaravo patys |
| Amžius: | 11-17 |
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Pastabos (tik anglų k.): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Berniukai, 2016
| Tyrimo tipas: | Deklaravo patys |
| Amžius: | 11-17 |
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Pastabos (tik anglų k.): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Merginos, 2016
| Tyrimo tipas: | Deklaravo patys |
| Amžius: | 11-17 |
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Pastabos (tik anglų k.): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Vidutinis kasdienis gazuotų gaiviųjų gėrimų vartojimo dažnis
Vaikai, 2014-2015
| 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
| Amžius: | 25+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Apibrėžimai (anglų k.): | Estimated per capita fruit intake (g/day) |
Vaisių vartojimo rečiau nei kartą per dieną paplitimas
Vaikai, 2014
| Tyrimo tipas: | Deklaravo patys |
| Amžius: | 12-17 |
| Teritorija: | Nacionalinis |
| 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 |
| Apibrėžimai (anglų k.): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Daržovių vartojimo rečiau nei kartą per dieną paplitimas
Vaikai, 2014
| Tyrimo tipas: | Deklaravo patys |
| Amžius: | 12-17 |
| Teritorija: | Nacionalinis |
| 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 |
| Apibrėžimai (anglų k.): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Vidutinis savaitinis greito maisto vartojimo dažnis
Vaikai, 2014-2015
| 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 |
Estimated per capita processed meat intake
Suaugusieji, 2017
| Amžius: | 25+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Apibrėžimai (anglų k.): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Suaugusieji, 2017
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 25+ |
| Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Apibrėžimai (anglų k.): | Estimated per-capita whole grains intake (g/day) |
Psichinė sveikata – depresijos sutrikimai
Suaugusieji, 2021
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Apibrėžimai (anglų k.): | Number living with depression per 100,000 population (adults 20+ years) |
Vyrai, 2021
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Apibrėžimai (anglų k.): | Number living with depression per 100,000 population (adults 20+ years) |
Moterys, 2021
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Apibrėžimai (anglų k.): | Number living with depression per 100,000 population (adults 20+ years) |
Suaugusieji, 2015
| Nuorodos: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Apibrėžimai (anglų k.): | % of population with depression disorders |
Vaikai, 2021
| Teritorija: | Nacionalinis |
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Apibrėžimai (anglų k.): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Berniukai, 2021
| Teritorija: | Nacionalinis |
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Apibrėžimai (anglų k.): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Merginos, 2021
| Teritorija: | Nacionalinis |
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Apibrėžimai (anglų k.): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Psichinė sveikata – nerimo sutrikimai
Suaugusieji, 2021
| Amžius: | 20+ |
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Apibrėžimai (anglų k.): | Number living with anxiety per 100,000 population |
Vyrai, 2021
| Amžius: | 20+ |
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Apibrėžimai (anglų k.): | Number living with anxiety per 100,000 population |
Moterys, 2021
| Amžius: | 20+ |
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Apibrėžimai (anglų k.): | Number living with anxiety per 100,000 population |
Suaugusieji, 2015
| Nuorodos: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Apibrėžimai (anglų k.): | % of population with anxiety disorders |
Vaikai, 2021
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Berniukai, 2021
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Merginos, 2021
| Nuorodos: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% kūdikių, tik žindomų 0–5 mėn.
0-5 years, 2015-2022
| Nuorodos: | Bangladesh Demographic Health Survey 2022 |
| Pastabos (tik anglų k.): | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Suaugusieji, 2024
| Teritorija: | Nacionalinis |
| Nuorodos: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Pastabos (tik anglų k.): | The percent of the population whose food budget is below the cost of a healthy diet. |
Suaugusieji, 2022
| Teritorija: | Nacionalinis |
| Nuorodos: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Stemplės vėžys
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Indicence per 100,000 |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Indicence per 100,000 |
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 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Krūties vėžys
Moterys, 2022
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
Storosios žarnos vėžys
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
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 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Kasos vėžys
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
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 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Tulžies pūslės vėžys
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Indicence per 100,000 |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Indicence per 100,000 |
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 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Inkstų vėžys
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
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 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Moterys, 2020
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Gimdos vėžys
Moterys, 2022
| Amžius: | 20+ |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence 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 10.01.2045 |
| Apibrėžimai (anglų k.): | Age-standardized indicence rates per 100 000 |
Padidėjęs kraujospūdis
Suaugusieji, 2015
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Apibrėžimai (anglų k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vyrai, 2015
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Apibrėžimai (anglų k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Moterys, 2015
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Apibrėžimai (anglų k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Padidėjęs cholesterolio kiekis
Suaugusieji, 2008
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Apibrėžimai (anglų k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vyrai, 2008
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Apibrėžimai (anglų k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Moterys, 2008
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Apibrėžimai (anglų k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Padidėjęs gliukozės kiekis kraujyje nevalgius
Vyrai, 2014
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Apibrėžimai (anglų k.): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Moterys, 2014
| Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Apibrėžimai (anglų k.): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabeto paplitimas
Suaugusieji, 2024
| Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Suaugusieji, 2021
| Amžius: | 20-79 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Apibrėžimai (anglų k.): | Age-adjusted comparative prevalence of diabetes, % |
Suaugusieji, 2019
| Amžius: | 20-79 |
| Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Apibrėžimai (anglų k.): | Diabetes age-adjusted comparative prevalence (%). |
Suaugusieji, 2017
| Nuorodos: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Apibrėžimai (anglų k.): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Moterys, 2022
| Amžius: | 20+ |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
Leukemia
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Liver and intrahepatic bile duct Cancer
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
Multiple Myeloma
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Indicence per 100,000 |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Indicence per 100,000 |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Non Hodgkin Lymphoma
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Thyroid Cancer
Vyrai, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
Moterys, 2022
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Apibrėžimai (anglų k.): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Absent |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Incoming |
| Mandatory limit of trans fats in place (all settings)? | Incoming |
| 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? | Absent |
| 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? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Absent |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Absent |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions