Bangladesh
Lower-middle income
- Panoramica
- Prevalenza dell'obesità
- Tendenze nel tempo
- Ripartizioni della popolazione
- Fattori
- Comorbilità
- Impatto economico
- Politiche (disponibile solo in inglese)
- Contextual factors
Caricamento dei dati - attendi
Rischio nazionale di obesità *7/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Rischio di obesità infantile *3/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Prevalenza dell'obesità
Tendenze nel tempo
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Fattori
Attività insufficiente
Consumo di bibite analcoliche
Consumo di frutta
Consumo di verdura
Consumo di fast food
Consumo di carni lavorate
Consumo di cereali
Depressione
Ansia
Radici dell'obesità »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Allattamento al seno
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Comorbilità
Cancro dell'esofago
Cancro al seno
Cancro colon-rettale
Cancro del pancreas
Cancro della colecisti
Cancro del rene
Cancro dell'utero
Aumento della pressione arteriosa
Aumento del colesterolo
Aumento della glicemia a digiuno
Prevalenza del diabete
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Scarica la scheda del rapporto
Impatto economico
Politiche (disponibile solo in inglese)
Contextual factors
Prevalenza dell'obesità
Adulti, 2018
Tipo di sondaggio: | Misurato |
Età: | 18-69 |
Dimensioni del campione: | 7985 |
Area coperta: | Nazionale |
Riferimenti: | 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) |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Adulti, 2017-2018
Tipo di sondaggio: | Misurato |
Dimensioni del campione: | 23861 |
Area coperta: | Nazionale |
Riferimenti: | 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) |
Note (disponibile solo in inglese): | 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. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2014
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 16478 |
Area coperta: | Nazionale |
Riferimenti: | 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) |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Adulti, 2011
Tipo di sondaggio: | Misurato |
Dimensioni del campione: | 17416 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2007
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 10021 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Other married women 15 - 49 years. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 1995-1996
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 3997 |
Riferimenti: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Note (disponibile solo in inglese): | 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 |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Bambini, 2019-2020
Tipo di sondaggio: | Misurato |
Età: | 15-19 |
Dimensioni del campione: | 9128 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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 |
Bambini, 2018-2019
Tipo di sondaggio: | Misurato |
Età: | 10-19 |
Dimensioni del campione: | 9772 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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 |
Bambini, 2014
Tipo di sondaggio: | Auto-riferito |
Età: | 13-17 |
Dimensioni del campione: | 2989 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Bambini, 2009
Tipo di sondaggio: | Misurato |
Età: | 6-15 |
Dimensioni del campione: | 10135 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Z score BMI cut-offs used |
Cutoffs: | WHO |
Infants, 2019
Età: | 0-5 |
Dimensioni del campione: | 22011 |
Riferimenti: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2018-2019
Età: | 0-5 |
Riferimenti: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2017-2018
Età: | 0-5 |
Dimensioni del campione: | 8113 |
Riferimenti: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2015
Età: | 0-5 |
Riferimenti: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2014
Età: | 0-5 |
Dimensioni del campione: | 7369 |
Riferimenti: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2013
Età: | 0-5 |
Dimensioni del campione: | 4029 |
Riferimenti: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2012-2013
Età: | 0-5 |
Dimensioni del campione: | 19640 |
Riferimenti: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2011
Età: | 0-5 |
Dimensioni del campione: | 7944 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2011-2012
Età: | 0-5 |
Riferimenti: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2007
Età: | 0-5 |
Dimensioni del campione: | 5344 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2006
Età: | 0-5 |
Dimensioni del campione: | 24302 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2005
Età: | 0-5 |
Dimensioni del campione: | 74758 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2004
Età: | 0-5 |
Dimensioni del campione: | 6083 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2003
Età: | 0-5 |
Dimensioni del campione: | 86999 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2002
Età: | 0-5 |
Dimensioni del campione: | 53315 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2001
Età: | 0-5 |
Dimensioni del campione: | 63444 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1999
Età: | 0-5 |
Dimensioni del campione: | 49374 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1999-1900
Età: | 0-5 |
Dimensioni del campione: | 5490 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1998
Età: | 0-5 |
Dimensioni del campione: | 49496 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1996
Età: | 0-5 |
Dimensioni del campione: | 81067 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1996-1997
Età: | 0-5 |
Dimensioni del campione: | 4880 |
Riferimenti: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1995
Età: | 0-5 |
Dimensioni del campione: | 87051 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1994
Età: | 0-5 |
Dimensioni del campione: | 63753 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1993
Età: | 0-5 |
Dimensioni del campione: | 42826 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1992
Età: | 0-5 |
Dimensioni del campione: | 36997 |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1991
Età: | 0-5 |
Dimensioni del campione: | 32493 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1989-1990
Età: | 0-5 |
Dimensioni del campione: | 1914 |
Riferimenti: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1985-1986
Età: | 0-5 |
Dimensioni del campione: | 2675 |
Riferimenti: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Tipo di sondaggio: | Misurato |
Riferimenti: | 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. 2011: 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. 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) |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². | |
Potrebbero essere state utilizzate metodologie diverse di raccolta dei dati e per questo motivo i dati di indagini diverse potrebbero non essere direttamente comparabili. |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Tipo di sondaggio: | Misurato |
Riferimenti: | 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. 2011: 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. 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) |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². | |
Potrebbero essere state utilizzate metodologie diverse di raccolta dei dati e per questo motivo i dati di indagini diverse potrebbero non essere direttamente comparabili. |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, paesi selezionati
Uomini
Riferimenti: | 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: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 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, 2013: 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: 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. 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: 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. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 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: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 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: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (Accessed 11.04.19) 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 accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 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 Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Potrebbero essere state utilizzate metodologie diverse di raccolta dei dati e per questo motivo i dati di indagini diverse potrebbero non essere direttamente comparabili. |
Donne
Riferimenti: | 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: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 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, 2013: 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: 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. 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: 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. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 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: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 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: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (Accessed 11.04.19) 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 accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 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 Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Potrebbero essere state utilizzate metodologie diverse di raccolta dei dati e per questo motivo i dati di indagini diverse potrebbero non essere direttamente comparabili. |
Sovrappeso/obesità per istruzione
Adulti, 2018
Tipo di sondaggio: | Misurato |
Età: | 18-69 |
Dimensioni del campione: | 7985 |
Area coperta: | Nazionale |
Riferimenti: | 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) |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2017-2018
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 18328 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Uomini, 2017-2018
Tipo di sondaggio: | Misurato |
Età: | 18+ |
Dimensioni del campione: | 5533 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2014
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 16478 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Ragazze, 2014
Tipo di sondaggio: | Misurato |
Età: | 15-19 |
Dimensioni del campione: | 1188 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Definizioni (disponibile solo in inglese): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2019
Dimensioni del campione: | 22011 |
Riferimenti: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2017-2018
Dimensioni del campione: | 8113 |
Riferimenti: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2014
Dimensioni del campione: | 7369 |
Riferimenti: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2012-2013
Dimensioni del campione: | 19640 |
Riferimenti: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2011
Dimensioni del campione: | 7944 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2007
Dimensioni del campione: | 5344 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2004
Dimensioni del campione: | 6083 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1999-1900
Dimensioni del campione: | 5490 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1996-1997
Dimensioni del campione: | 4880 |
Riferimenti: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Sovrappeso/obesità per età
Adulti, 2018
Tipo di sondaggio: | Misurato |
Dimensioni del campione: | 7985 |
Area coperta: | Nazionale |
Riferimenti: | 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) |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2017-2018
Tipo di sondaggio: | Misurato |
Dimensioni del campione: | 18328 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Uomini, 2017-2018
Tipo di sondaggio: | Misurato |
Dimensioni del campione: | 5533 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2014
Tipo di sondaggio: | Misurato |
Dimensioni del campione: | 16478 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Bambini, 2019-2020
Tipo di sondaggio: | Misurato |
Dimensioni del campione: | 9128 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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 |
Bambini, 2018-2019
Tipo di sondaggio: | Misurato |
Dimensioni del campione: | 9772 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Sovrappeso/obesità per regione
Adulti, 2018
Tipo di sondaggio: | Misurato |
Età: | 18-69 |
Dimensioni del campione: | 7985 |
Area coperta: | Nazionale |
Riferimenti: | 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) |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2017-2018
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 18328 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Uomini, 2017-2018
Tipo di sondaggio: | Misurato |
Età: | 18+ |
Dimensioni del campione: | 5533 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2014
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 16478 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2014
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 16478 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Bambini, 2019-2020
Tipo di sondaggio: | Misurato |
Età: | 15-19 |
Dimensioni del campione: | 9128 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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 |
Ragazzi, 2018-2019
Tipo di sondaggio: | Misurato |
Età: | 10-19 |
Dimensioni del campione: | 9772 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Ragazze, 2018-2019
Tipo di sondaggio: | Misurato |
Età: | 10-19 |
Dimensioni del campione: | 9772 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Ragazzi, 2009
Tipo di sondaggio: | Misurato |
Età: | 6-15 |
Dimensioni del campione: | 10135 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Z score cut-offs used |
Cutoffs: | Other |
Ragazze, 2009
Tipo di sondaggio: | Misurato |
Età: | 6-15 |
Dimensioni del campione: | 10135 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | Z score cut-offs used |
Cutoffs: | Other |
Infants, 2019
Dimensioni del campione: | 22011 |
Riferimenti: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2017-2018
Dimensioni del campione: | 8113 |
Riferimenti: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2014
Dimensioni del campione: | 7369 |
Riferimenti: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2013
Dimensioni del campione: | 4029 |
Riferimenti: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2012-2013
Dimensioni del campione: | 19640 |
Riferimenti: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2011
Dimensioni del campione: | 7944 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2007
Dimensioni del campione: | 5344 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2004
Dimensioni del campione: | 6083 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1999-1900
Dimensioni del campione: | 5490 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1996-1997
Dimensioni del campione: | 4880 |
Riferimenti: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Sovrappeso/obesità per gruppo socio-economico
Adulti, 2018
Tipo di sondaggio: | Misurato |
Età: | 18-69 |
Dimensioni del campione: | 7985 |
Area coperta: | Nazionale |
Riferimenti: | 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) |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2017-2018
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 18328 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Uomini, 2017-2018
Tipo di sondaggio: | Misurato |
Età: | 18+ |
Dimensioni del campione: | 5533 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2014
Tipo di sondaggio: | Misurato |
Età: | 15-49 |
Dimensioni del campione: | 16478 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Bambini, 2019-2020
Tipo di sondaggio: | Misurato |
Età: | 15-19 |
Dimensioni del campione: | 9128 |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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 |
Ragazzi, 2018-2019
Tipo di sondaggio: | Misurato |
Età: | 10-19 |
Dimensioni del campione: | 9772 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Ragazze, 2018-2019
Tipo di sondaggio: | Misurato |
Età: | 10-19 |
Dimensioni del campione: | 9772 |
Area coperta: | Nazionale |
Riferimenti: | 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. |
Note (disponibile solo in inglese): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Infants, 2019
Dimensioni del campione: | 22011 |
Riferimenti: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2017-2018
Dimensioni del campione: | 8113 |
Riferimenti: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2014
Dimensioni del campione: | 7369 |
Riferimenti: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2013
Dimensioni del campione: | 4029 |
Riferimenti: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2012-2013
Dimensioni del campione: | 19640 |
Riferimenti: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2011
Dimensioni del campione: | 7944 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2007
Dimensioni del campione: | 5344 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 2004
Dimensioni del campione: | 6083 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1999-1900
Dimensioni del campione: | 5490 |
Riferimenti: | 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 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Infants, 1996-1997
Dimensioni del campione: | 4880 |
Riferimenti: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Note (disponibile solo in inglese): | 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. |
Definizioni (disponibile solo in inglese): | =>+2SD |
Attività fisica insufficiente
Adulti, 2022
Tipo di sondaggio: | Auto-riferito |
Età: | 18+ |
Area coperta: | Nazionale |
Riferimenti: | 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)-(-) |
Definizioni (disponibile solo in inglese): | 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. |
Uomini, 2022
Tipo di sondaggio: | Auto-riferito |
Età: | 18+ |
Area coperta: | Nazionale |
Riferimenti: | 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)-(-) |
Definizioni (disponibile solo in inglese): | 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. |
Donne, 2022
Tipo di sondaggio: | Auto-riferito |
Età: | 18+ |
Area coperta: | Nazionale |
Riferimenti: | 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)-(-) |
Definizioni (disponibile solo in inglese): | 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. |
Adulti, 2016
Riferimenti: | 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 |
Uomini, 2016
Riferimenti: | 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 |
Donne, 2016
Riferimenti: | 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 |
Bambini, 2016
Tipo di sondaggio: | Auto-riferito |
Età: | 11-17 |
Riferimenti: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Note (disponibile solo in inglese): | % 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. |
Definizioni (disponibile solo in inglese): | % Adolescents insufficiently active (age standardised estimate) |
Ragazzi, 2016
Tipo di sondaggio: | Auto-riferito |
Età: | 11-17 |
Riferimenti: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Note (disponibile solo in inglese): | % 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. |
Definizioni (disponibile solo in inglese): | % Adolescents insufficiently active (age standardised estimate) |
Ragazze, 2016
Tipo di sondaggio: | Auto-riferito |
Età: | 11-17 |
Riferimenti: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Note (disponibile solo in inglese): | % 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. |
Definizioni (disponibile solo in inglese): | % Adolescents insufficiently active (age standardised estimate) |
Frequenza media giornaliera del consumo di bibite gassate
Bambini, 2014-2015
Tipo di sondaggio: | Misurato |
Età: | 12-17 |
Riferimenti: | 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
Adulti, 2017
Tipo di sondaggio: | Misurato |
Età: | 25+ |
Riferimenti: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definizioni (disponibile solo in inglese): | Estimated per-capita fruit intake (g/day) |
Prevalenza di un consumo di frutta inferiore a 1 volta al giorno
Bambini, 2008-2015
Tipo di sondaggio: | Misurato |
Età: | 12-17 |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalenza di un consumo di verdura inferiore a 1 volta al giorno
Bambini, 2008-2015
Tipo di sondaggio: | Misurato |
Età: | 12-17 |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Frequenza media settimanale del consumo di fast food
Bambini, 2014-2015
Età: | 12-17 |
Riferimenti: | 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 |
Assunzione stimata pro capite di carni lavorate
Adulti, 2017
Tipo di sondaggio: | Misurato |
Età: | 25+ |
Riferimenti: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definizioni (disponibile solo in inglese): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adulti, 2017
Tipo di sondaggio: | Misurato |
Età: | 25+ |
Riferimenti: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definizioni (disponibile solo in inglese): | Estimated per-capita whole grains intake (g/day) |
Salute mentale - disturbi depressivi
Adulti, 2015
Riferimenti: | 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. |
Definizioni (disponibile solo in inglese): | % of population with depression disorders |
Salute mentale - disturbi d'ansia
Adulti, 2015
Riferimenti: | 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. |
Definizioni (disponibile solo in inglese): | % of population with anxiety disorders |
% di neonati da 0-5 mesi allattati esclusivamente al seno
Infants, 2015-2022
Riferimenti: | Bangladesh Demographic Health Survey 2022 |
Note (disponibile solo in inglese): | 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. |
Cancro dell'esofago
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Indicence per 100,000 |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Indicence per 100,000 |
Uomini, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Donne, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Cancro al seno
Donne, 2022
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Cancro colon-rettale
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Uomini, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Donne, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Cancro del pancreas
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Uomini, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Donne, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Cancro della colecisti
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Indicence per 100,000 |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Indicence per 100,000 |
Uomini, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Donne, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Cancro del rene
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Uomini, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Donne, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Cancro dell'utero
Donne, 2022
Età: | 20+ |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Donne, 2020-2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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 |
Definizioni (disponibile solo in inglese): | Age-standardized indicence rates per 100 000 |
Aumento della pressione arteriosa
Adulti, 2015
Riferimenti: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definizioni (disponibile solo in inglese): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Uomini, 2015
Riferimenti: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definizioni (disponibile solo in inglese): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Donne, 2015
Riferimenti: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definizioni (disponibile solo in inglese): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Aumento del colesterolo
Adulti, 2008
Riferimenti: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definizioni (disponibile solo in inglese): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Uomini, 2008
Riferimenti: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definizioni (disponibile solo in inglese): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Donne, 2008
Riferimenti: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definizioni (disponibile solo in inglese): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Aumento della glicemia a digiuno
Uomini, 2014
Riferimenti: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definizioni (disponibile solo in inglese): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Donne, 2014
Riferimenti: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definizioni (disponibile solo in inglese): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalenza del diabete
Adulti, 2021
Età: | 20-79 |
Area coperta: | Nazionale |
Riferimenti: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definizioni (disponibile solo in inglese): | Age-adjusted comparative prevalence of diabetes, % |
Adulti, 2019
Età: | 20-79 |
Riferimenti: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definizioni (disponibile solo in inglese): | Diabetes age-adjusted comparative prevalence (%). |
Adulti, 2017
Riferimenti: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definizioni (disponibile solo in inglese): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Donne, 2022
Età: | 20+ |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Leukemia
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Leukemia
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Liver and intrahepatic bile duct Cancer
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Multiple Myeloma
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Indicence per 100,000 |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Indicence per 100,000 |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Non Hodgkin Lymphoma
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Salvo diversa indicazione, il sovrappeso si riferisce a un BMI compreso tra 25 kg e 29,9 kg/m², l'obesità si riferisce a un BMI superiore a 30 kg/m². |
Thyroid Cancer
Uomini, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | Incidence per 100,000 |
Donne, 2022
Età: | 20+ |
Area coperta: | Nazionale |
Riferimenti: | 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] |
Definizioni (disponibile solo in inglese): | 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 |
Guidelines/policy on obesity treatment? | 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
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions