Il-Bangladexx
- Deskrizzjoni Ġenerali
- Prevalenza tal-obeżità
- Xejriet maż-żmien
- Tqassim tal-popolazzjoni
- Kawżi
- Komorbiditajiet
- Impatt ekonomiku
- Politiki
- Contextual factors
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Riskju nazzjonali tal-obe?ità *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.Riskju ta' obe?ità fit-tfal *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 tal-obeżità
Xejriet maż-żmien
Niżżel il-karta tar-rapport
Il-karta tar-rapport tiġbor il-grafika l-aktar reċenti kollha għal dan il-pajjiż. Jekk tixtieq tipproduċi rapport personalizzat ibbażat fuq grafika magħżula, sempliċement agħfas il-buttuna Add (Żid) mal-buttuna PDF personalizzata taħt il-grafika li tixtieq tuża.Tqassim tal-popolazzjoni
Kawżi
Attività insuffiċjenti
Konsum ta' minerali
Konsum tal-frott
Konsum tal-ħaxix
Konsum ta' fast food
Konsum tal-laħam ipproċessat
Konsum ta' qmuħ
Depressjoni
Ansjetà
Għeruq tal-obeżità »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Treddigħ
Niżżel il-karta tar-rapport
Komorbiditajiet
Impatt ekonomiku
Politiki
Contextual factors
Prevalenza tal-obeżità
Adulti, 2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 18-69 |
Id-daqs tal-kampjun: | 7985 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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) |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Adulti, 2017-2018
Tip ta' stħarriġ: | Imkejjel |
Id-daqs tal-kampjun: | 23861 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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) |
Noti: | 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. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 2014
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 16478 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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) |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Adulti, 2011
Tip ta' stħarriġ: | Imkejjel |
Id-daqs tal-kampjun: | 17416 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 2007
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 10021 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Other married women 15 - 49 years. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 1995-1996
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 3997 |
Referenzi: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Noti: | 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 |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Tfal, 2018-2019
Tip ta' stħarriġ: | Imkejjel |
Età: | 10-19 |
Id-daqs tal-kampjun: | 9772 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | 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 |
Tfal, 2014
Tip ta' stħarriġ: | Irrappurtat mill-persuna nnifisha |
Età: | 13-17 |
Id-daqs tal-kampjun: | 2989 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Tfal, 2009
Tip ta' stħarriġ: | Imkejjel |
Età: | 6-15 |
Id-daqs tal-kampjun: | 10135 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Z score BMI cut-offs used |
Cutoffs: | WHO |
Infants, 2019
Età: | 0-5 |
Id-daqs tal-kampjun: | 22011 |
Referenzi: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Bniet, 2019
Età: | 0-5 |
Id-daqs tal-kampjun: | 22012 |
Referenzi: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2018-2019
Età: | 0-5 |
Referenzi: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2017-2018
Età: | 0-5 |
Id-daqs tal-kampjun: | 8113 |
Referenzi: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2015
Età: | 0-5 |
Referenzi: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2014
Età: | 0-5 |
Id-daqs tal-kampjun: | 7369 |
Referenzi: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2013
Età: | 0-5 |
Id-daqs tal-kampjun: | 4029 |
Referenzi: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2012-2013
Età: | 0-5 |
Id-daqs tal-kampjun: | 19640 |
Referenzi: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2011
Età: | 0-5 |
Id-daqs tal-kampjun: | 7944 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2011-2012
Età: | 0-5 |
Referenzi: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2007
Età: | 0-5 |
Id-daqs tal-kampjun: | 5344 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2006
Età: | 0-5 |
Id-daqs tal-kampjun: | 24302 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2005
Età: | 0-5 |
Id-daqs tal-kampjun: | 74758 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2004
Età: | 0-5 |
Id-daqs tal-kampjun: | 6083 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2003
Età: | 0-5 |
Id-daqs tal-kampjun: | 86999 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2002
Età: | 0-5 |
Id-daqs tal-kampjun: | 53315 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2001
Età: | 0-5 |
Id-daqs tal-kampjun: | 63444 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1999
Età: | 0-5 |
Id-daqs tal-kampjun: | 49374 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1999-1900
Età: | 0-5 |
Id-daqs tal-kampjun: | 5490 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1998
Età: | 0-5 |
Id-daqs tal-kampjun: | 49496 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1996
Età: | 0-5 |
Id-daqs tal-kampjun: | 81067 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1996-1997
Età: | 0-5 |
Id-daqs tal-kampjun: | 4880 |
Referenzi: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1995
Età: | 0-5 |
Id-daqs tal-kampjun: | 87051 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1994
Età: | 0-5 |
Id-daqs tal-kampjun: | 63753 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1993
Età: | 0-5 |
Id-daqs tal-kampjun: | 42826 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1992
Età: | 0-5 |
Id-daqs tal-kampjun: | 36997 |
Referenzi: | 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. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1991
Età: | 0-5 |
Id-daqs tal-kampjun: | 32493 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1989-1990
Età: | 0-5 |
Id-daqs tal-kampjun: | 1914 |
Referenzi: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1985-1986
Età: | 0-5 |
Id-daqs tal-kampjun: | 2675 |
Referenzi: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
Tip ta' st?arri?: | Imkejjel |
Referenzi: | 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) |
Sakemm ma ji?ix indikat mod ie?or, il-pi? ?ejjed jirreferi g?al BMI bejn 25kg u 29.9kg/m², l-obe?ità tirreferi g?al BMI akbar minn 30kg/m². | |
Metodolo?iji differenti setg?u ntu?aw biex tin?abar din id-dejta u g?alhekk dejta minn st?arri? differenti tista’ ma tkunx strettament komparabbli. Jekk jog??bok i??ekkja mas-sorsi tad-dejta ori?inali g?all-metodolo?iji u?ati |
% Adults living with overweight or obesity in Bangladesh 1995-2017
Tip ta' st?arri?: | Imkejjel |
Referenzi: | 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) |
Sakemm ma ji?ix indikat mod ie?or, il-pi? ?ejjed jirreferi g?al BMI bejn 25kg u 29.9kg/m², l-obe?ità tirreferi g?al BMI akbar minn 30kg/m². | |
Metodolo?iji differenti setg?u ntu?aw biex tin?abar din id-dejta u g?alhekk dejta minn st?arri? differenti tista’ ma tkunx strettament komparabbli. Jekk jog??bok i??ekkja mas-sorsi tad-dejta ori?inali g?all-metodolo?iji u?ati |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, pajji?i mag??ula
Ir?iel
Referenzi: | 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, 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 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 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 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: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: 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) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 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) |
Metodolo?iji differenti setg?u ntu?aw biex tin?abar din id-dejta u g?alhekk dejta minn st?arri? differenti tista’ ma tkunx strettament komparabbli. Jekk jog??bok i??ekkja mas-sorsi tad-dejta ori?inali g?all-metodolo?iji u?ati |
Nisa
Referenzi: | 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, 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 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 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 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: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: 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) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 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) |
Metodolo?iji differenti setg?u ntu?aw biex tin?abar din id-dejta u g?alhekk dejta minn st?arri? differenti tista’ ma tkunx strettament komparabbli. Jekk jog??bok i??ekkja mas-sorsi tad-dejta ori?inali g?all-metodolo?iji u?ati |
Piż żejjed/obeżità skont l-edukazzjoni
Adulti, 2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 18-69 |
Id-daqs tal-kampjun: | 7985 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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) |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 2017-2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 18328 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Irġiel, 2017-2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 18+ |
Id-daqs tal-kampjun: | 5533 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 2014
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 16478 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Bniet, 2014
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-19 |
Id-daqs tal-kampjun: | 1188 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2019
Id-daqs tal-kampjun: | 22011 |
Referenzi: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2017-2018
Id-daqs tal-kampjun: | 8113 |
Referenzi: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2014
Id-daqs tal-kampjun: | 7369 |
Referenzi: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2012-2013
Id-daqs tal-kampjun: | 19640 |
Referenzi: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2011
Id-daqs tal-kampjun: | 7944 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2007
Id-daqs tal-kampjun: | 5344 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2004
Id-daqs tal-kampjun: | 6083 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1999-1900
Id-daqs tal-kampjun: | 5490 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1996-1997
Id-daqs tal-kampjun: | 4880 |
Referenzi: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Pi? ?ejjed/obe?ità skont l-età
Adulti, 2018
Tip ta' st?arri?: | Imkejjel |
Id-daqs tal-kampjun: | 7985 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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) |
Sakemm ma ji?ix indikat mod ie?or, il-pi? ?ejjed jirreferi g?al BMI bejn 25kg u 29.9kg/m², l-obe?ità tirreferi g?al BMI akbar minn 30kg/m². |
Nisa, 2017-2018
Tip ta' st?arri?: | Imkejjel |
Id-daqs tal-kampjun: | 18328 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma ji?ix indikat mod ie?or, il-pi? ?ejjed jirreferi g?al BMI bejn 25kg u 29.9kg/m², l-obe?ità tirreferi g?al BMI akbar minn 30kg/m². |
Ir?iel, 2017-2018
Tip ta' st?arri?: | Imkejjel |
Id-daqs tal-kampjun: | 5533 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma ji?ix indikat mod ie?or, il-pi? ?ejjed jirreferi g?al BMI bejn 25kg u 29.9kg/m², l-obe?ità tirreferi g?al BMI akbar minn 30kg/m². |
Nisa, 2014
Tip ta' st?arri?: | Imkejjel |
Id-daqs tal-kampjun: | 16478 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma ji?ix indikat mod ie?or, il-pi? ?ejjed jirreferi g?al BMI bejn 25kg u 29.9kg/m², l-obe?ità tirreferi g?al BMI akbar minn 30kg/m². |
Tfal, 2018-2019
Tip ta' st?arri?: | Imkejjel |
Id-daqs tal-kampjun: | 9772 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Piż żejjed/obeżità skont ir-reġjun
Adulti, 2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 18-69 |
Id-daqs tal-kampjun: | 7985 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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) |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 2017-2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 18328 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Irġiel, 2017-2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 18+ |
Id-daqs tal-kampjun: | 5533 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 2014
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 16478 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 2014
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 16478 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Subien, 2018-2019
Tip ta' stħarriġ: | Imkejjel |
Età: | 10-19 |
Id-daqs tal-kampjun: | 9772 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Bniet, 2018-2019
Tip ta' stħarriġ: | Imkejjel |
Età: | 10-19 |
Id-daqs tal-kampjun: | 9772 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Subien, 2009
Tip ta' stħarriġ: | Imkejjel |
Età: | 6-15 |
Id-daqs tal-kampjun: | 10135 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Z score cut-offs used |
Cutoffs: | Other |
Bniet, 2009
Tip ta' stħarriġ: | Imkejjel |
Età: | 6-15 |
Id-daqs tal-kampjun: | 10135 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | Z score cut-offs used |
Cutoffs: | Other |
Infants, 2019
Id-daqs tal-kampjun: | 22011 |
Referenzi: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2017-2018
Id-daqs tal-kampjun: | 8113 |
Referenzi: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2014
Id-daqs tal-kampjun: | 7369 |
Referenzi: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2013
Id-daqs tal-kampjun: | 4029 |
Referenzi: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2012-2013
Id-daqs tal-kampjun: | 19640 |
Referenzi: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2011
Id-daqs tal-kampjun: | 7944 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2007
Id-daqs tal-kampjun: | 5344 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2004
Id-daqs tal-kampjun: | 6083 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1999-1900
Id-daqs tal-kampjun: | 5490 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1996-1997
Id-daqs tal-kampjun: | 4880 |
Referenzi: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Piż żejjed/obeżità skont il-grupp soċjoekonomiku
Adulti, 2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 18-69 |
Id-daqs tal-kampjun: | 7985 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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) |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 2017-2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 18328 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Irġiel, 2017-2018
Tip ta' stħarriġ: | Imkejjel |
Età: | 18+ |
Id-daqs tal-kampjun: | 5533 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Nisa, 2014
Tip ta' stħarriġ: | Imkejjel |
Età: | 15-49 |
Id-daqs tal-kampjun: | 16478 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Noti: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Sakemm ma jiġix indikat mod ieħor, il-piż żejjed jirreferi għal BMI bejn 25kg u 29.9kg/m², l-obeżità tirreferi għal BMI akbar minn 30kg/m². |
Subien, 2018-2019
Tip ta' stħarriġ: | Imkejjel |
Età: | 10-19 |
Id-daqs tal-kampjun: | 9772 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Bniet, 2018-2019
Tip ta' stħarriġ: | Imkejjel |
Età: | 10-19 |
Id-daqs tal-kampjun: | 9772 |
Erja Koperta: | Nazzjonali |
Referenzi: | 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. |
Noti: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Infants, 2019
Id-daqs tal-kampjun: | 22011 |
Referenzi: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2017-2018
Id-daqs tal-kampjun: | 8113 |
Referenzi: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2014
Id-daqs tal-kampjun: | 7369 |
Referenzi: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2013
Id-daqs tal-kampjun: | 4029 |
Referenzi: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2012-2013
Id-daqs tal-kampjun: | 19640 |
Referenzi: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2011
Id-daqs tal-kampjun: | 7944 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2007
Id-daqs tal-kampjun: | 5344 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 2004
Id-daqs tal-kampjun: | 6083 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1999-1900
Id-daqs tal-kampjun: | 5490 |
Referenzi: | 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 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Infants, 1996-1997
Id-daqs tal-kampjun: | 4880 |
Referenzi: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Noti: | 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. |
Definizzjonijiet (disponibbli bl-Ingliż biss): | =>+2SD |
Attività fi?ika insuffi?jenti
Adulti, 2016
Referenzi: | 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 |
Ir?iel, 2016
Referenzi: | 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 |
Nisa, 2016
Referenzi: | 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 |
Tfal, 2016
Tip ta' st?arri?: | Irrappurtat mill-persuna nnifisha |
Età: | 11-17 |
Referenzi: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Noti: | % 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. |
Definizzjonijiet (disponibbli bl-Ingli? biss): | % Adolescents insufficiently active (age standardised estimate) |
Subien, 2016
Tip ta' st?arri?: | Irrappurtat mill-persuna nnifisha |
Età: | 11-17 |
Referenzi: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Noti: | % 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. |
Definizzjonijiet (disponibbli bl-Ingli? biss): | % Adolescents insufficiently active (age standardised estimate) |
Bniet, 2016
Tip ta' st?arri?: | Irrappurtat mill-persuna nnifisha |
Età: | 11-17 |
Referenzi: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Noti: | % 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. |
Definizzjonijiet (disponibbli bl-Ingli? biss): | % Adolescents insufficiently active (age standardised estimate) |
Frekwenza medja ta’ kuljum tal-konsum ta’ xorb minerali bil-gass
Tfal, 2014-2015
Tip ta' st?arri?: | Imkejjel |
Età: | 12-17 |
Referenzi: | 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
Tip ta' st?arri?: | Imkejjel |
Età: | 25+ |
Referenzi: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Estimated per-capita fruit intake (g/day) |
Prevalenza ta' inqas minn konsum ta' frott ta' kuljum
Tfal, 2008-2015
Tip ta' st?arri?: | Imkejjel |
Età: | 12-17 |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalenza ta' inqas minn konsum ve?etali ta' kuljum
Tfal, 2008-2015
Tip ta' st?arri?: | Imkejjel |
Età: | 12-17 |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Frekwenza medja ta' kull ?img?a ta' konsum ta' fast food
Tfal, 2014-2015
Età: | 12-17 |
Referenzi: | 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 |
Konsum stmat ta' la?am ippro?essat per capita
Adulti, 2017
Tip ta' st?arri?: | Imkejjel |
Età: | 25+ |
Referenzi: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adulti, 2017
Tip ta' st?arri?: | Imkejjel |
Età: | 25+ |
Referenzi: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Estimated per-capita whole grains intake (g/day) |
Sa??a mentali - disturbi tad-depressjoni
Adulti, 2015
Referenzi: | 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. |
Definizzjonijiet (disponibbli bl-Ingli? biss): | % of population with depression disorders |
Sa??a mentali - disturbi ta' ansjetà
Adulti, 2015
Referenzi: | 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. |
Definizzjonijiet (disponibbli bl-Ingli? biss): | % of population with anxiety disorders |
% ta' trabi ta' bejn 0-5 xhur imreddg?a biss
Tfal, 2015-2020
Erja Koperta: | Nazzjonali |
Referenzi: | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Noti: | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
Definizzjonijiet (disponibbli bl-Ingli? biss): | % exclusively breastfed 0-5 months |
Kan?er tal-esofagu
Ir?iel, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Nisa, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Kan?er tas-sider
Nisa, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Kan?er kolorettali
Ir?iel, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Nisa, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Kan?er tal-frixa
Ir?iel, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Nisa, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Kan?er tal-marrara
Ir?iel, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Nisa, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Kan?er tal-kliewi
Ir?iel, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Nisa, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Kan?er tal-utru
Nisa, 2020
Età: | 20+ |
Erja Koperta: | Nazzjonali |
Referenzi: | 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 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-standardized indicence rates per 100 000 |
Pressjoni g?olja tad-demm
Adulti, 2015
Referenzi: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Ir?iel, 2015
Referenzi: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Nisa, 2015
Referenzi: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kolesterol g?oli
Adulti, 2008
Referenzi: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Ir?iel, 2008
Referenzi: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Nisa, 2008
Referenzi: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definizzjonijiet (disponibbli bl-Ingli? biss): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Zokkor fid-demm g?oli waqt is-sawm
Ir?iel, 2014
Referenzi: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Nisa, 2014
Referenzi: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalenza tad-dijabete
Adulti, 2021
Età: | 20-79 |
Erja Koperta: | Nazzjonali |
Referenzi: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Age-adjusted comparative prevalence of diabetes, % |
Adulti, 2019
Età: | 20-79 |
Referenzi: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Diabetes age-adjusted comparative prevalence (%). |
Adulti, 2017
Referenzi: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definizzjonijiet (disponibbli bl-Ingli? biss): | Diabetes age-adjusted comparative prevalence (%). |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | 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