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- Πολιτικές
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Φόρτωση δεδομένων, περιμένετε
???????? ??????????? ?? ?????? ??????? *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.???????? ??????????? ???? ??????? ?????? *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).
Επιπολασμός της παχυσαρκίας
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Αίτια της παχυσαρκίας »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Θηλασμός
Λήψη κάρτας αναφοράς
Συννοσηρότητες
Οικονομικές επιπτώσεις
Πολιτικές
Contextual factors
Επιπολασμός της παχυσαρκίας
Ενήλικες, 2018
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 18-69 |
Μέγεθος δείγματος: | 7985 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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) |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Ενήλικες, 2017-2018
Τύπος έρευνας: | Από μέτρηση |
Μέγεθος δείγματος: | 23861 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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) |
Σημειώσεις: | 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. |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Γυναίκες, 2014
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 15-49 |
Μέγεθος δείγματος: | 16478 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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) |
Σημειώσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Ενήλικες, 2011
Τύπος έρευνας: | Από μέτρηση |
Μέγεθος δείγματος: | 17416 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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. |
Σημειώσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Γυναίκες, 2007
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 15-49 |
Μέγεθος δείγματος: | 10021 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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. |
Σημειώσεις: | Other married women 15 - 49 years. |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Γυναίκες, 1995-1996
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 15-49 |
Μέγεθος δείγματος: | 3997 |
Παραπομπές: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Σημειώσεις: | 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 |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Παιδιά, 2018-2019
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 10-19 |
Μέγεθος δείγματος: | 9772 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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. |
Σημειώσεις: | 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 |
Παιδιά, 2014
Τύπος έρευνας: | Αυτοαναφερόμενοι |
Ηλικία: | 13-17 |
Μέγεθος δείγματος: | 2989 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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 |
Παιδιά, 2009
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 6-15 |
Μέγεθος δείγματος: | 10135 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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. |
Σημειώσεις: | Z score BMI cut-offs used |
Cutoffs: | WHO |
Infants, 2019
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 22011 |
Παραπομπές: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Κορίτσια, 2019
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 22012 |
Παραπομπές: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2018-2019
Ηλικία: | 0-5 |
Παραπομπές: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2017-2018
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 8113 |
Παραπομπές: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2015
Ηλικία: | 0-5 |
Παραπομπές: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2014
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 7369 |
Παραπομπές: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2013
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 4029 |
Παραπομπές: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2012-2013
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 19640 |
Παραπομπές: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2011
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 7944 |
Παραπομπές: | 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 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2011-2012
Ηλικία: | 0-5 |
Παραπομπές: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2007
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 5344 |
Παραπομπές: | 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 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2006
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 24302 |
Παραπομπές: | 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 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2005
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 74758 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2004
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 6083 |
Παραπομπές: | 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 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2003
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 86999 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2002
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 53315 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 2001
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 63444 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1999
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 49374 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1999-1900
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 5490 |
Παραπομπές: | 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 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1998
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 49496 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1996
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 81067 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1996-1997
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 4880 |
Παραπομπές: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1995
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 87051 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1994
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 63753 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1993
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 42826 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1992
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 36997 |
Παραπομπές: | 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. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1991
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 32493 |
Παραπομπές: | 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 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1989-1990
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 1914 |
Παραπομπές: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Infants, 1985-1986
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 2675 |
Παραπομπές: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
% Adults living with obesity in Bangladesh 1995-2017
????? ???????: | ??? ??????? |
??????????: | 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) |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν |
% Adults living with overweight or obesity in Bangladesh 1995-2017
????? ???????: | ??? ??????? |
??????????: | 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) |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, ??????????? ?????
??????
??????????: | 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) |
Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν |
????????
??????????: | 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) |
Ενδ?χεται να ?χουν χρησιμοποιηθε? διαφορετικ?ς μεθοδολογ?ες για τη συλλογ? αυτ?ν των δεδομ?νων και, ως εκ το?του, ενδ?χεται να μην υπ?ρχει δυνατ?τητα για απ?λυτη σ?γκριση δεδομ?νων απ? διαφορετικ?ς ?ρευνες. Ελ?γξτε τις αρχικ?ς πηγ?ς των δεδομ?νων για να πληροφορηθε?τε σχετικ? με τις μεθοδολογ?ες που χρησιμοποι?θηκαν |
?????????? ?????/?????????? ??? ????????? ???????
????????, 2018
????? ???????: | ??? ??????? |
??????: | 18-69 |
??????? ?????????: | 7985 |
?????????? ??????: | Εθνικ? |
??????????: | 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) |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2017-2018
????? ???????: | ??? ??????? |
??????: | 15-49 |
??????? ?????????: | 18328 |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
??????, 2017-2018
????? ???????: | ??? ??????? |
??????: | 18+ |
??????? ?????????: | 5533 |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2014
????? ???????: | ??? ??????? |
??????: | 15-49 |
??????? ?????????: | 16478 |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2014
????? ???????: | ??? ??????? |
??????: | 15-19 |
??????? ?????????: | 1188 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Ορισμο?: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Infants, 2019
??????? ?????????: | 22011 |
??????????: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2017-2018
??????? ?????????: | 8113 |
??????????: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2014
??????? ?????????: | 7369 |
??????????: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2012-2013
??????? ?????????: | 19640 |
??????????: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2011
??????? ?????????: | 7944 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2007
??????? ?????????: | 5344 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2004
??????? ?????????: | 6083 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 1999-1900
??????? ?????????: | 5490 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 1996-1997
??????? ?????????: | 4880 |
??????????: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
?????????? ?????/?????????? ??? ??????
????????, 2018
????? ???????: | ??? ??????? |
??????? ?????????: | 7985 |
?????????? ??????: | Εθνικ? |
??????????: | 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) |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2017-2018
????? ???????: | ??? ??????? |
??????? ?????????: | 18328 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
??????, 2017-2018
????? ???????: | ??? ??????? |
??????? ?????????: | 5533 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2014
????? ???????: | ??? ??????? |
??????? ?????????: | 16478 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
??????, 2018-2019
????? ???????: | ??? ??????? |
??????? ?????????: | 9772 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
?????????? ?????/?????????? ??? ??????????
????????, 2018
????? ???????: | ??? ??????? |
??????: | 18-69 |
??????? ?????????: | 7985 |
?????????? ??????: | Εθνικ? |
??????????: | 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) |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2017-2018
????? ???????: | ??? ??????? |
??????: | 15-49 |
??????? ?????????: | 18328 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
??????, 2017-2018
????? ???????: | ??? ??????? |
??????: | 18+ |
??????? ?????????: | 5533 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2014
????? ???????: | ??? ??????? |
??????: | 15-49 |
??????? ?????????: | 16478 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2014
????? ???????: | ??? ??????? |
??????: | 15-49 |
??????? ?????????: | 16478 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
??????, 2018-2019
????? ???????: | ??? ??????? |
??????: | 10-19 |
??????? ?????????: | 9772 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
????????, 2018-2019
????? ???????: | ??? ??????? |
??????: | 10-19 |
??????? ?????????: | 9772 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
??????, 2009
????? ???????: | ??? ??????? |
??????: | 6-15 |
??????? ?????????: | 10135 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | Z score cut-offs used |
Cutoffs: | Other |
????????, 2009
????? ???????: | ??? ??????? |
??????: | 6-15 |
??????? ?????????: | 10135 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | Z score cut-offs used |
Cutoffs: | Other |
Infants, 2019
??????? ?????????: | 22011 |
??????????: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2017-2018
??????? ?????????: | 8113 |
??????????: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2014
??????? ?????????: | 7369 |
??????????: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2013
??????? ?????????: | 4029 |
??????????: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2012-2013
??????? ?????????: | 19640 |
??????????: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2011
??????? ?????????: | 7944 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2007
??????? ?????????: | 5344 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2004
??????? ?????????: | 6083 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 1999-1900
??????? ?????????: | 5490 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 1996-1997
??????? ?????????: | 4880 |
??????????: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
?????????? ?????/?????????? ??? ??????????????????? ?????
????????, 2018
????? ???????: | ??? ??????? |
??????: | 18-69 |
??????? ?????????: | 7985 |
?????????? ??????: | Εθνικ? |
??????????: | 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) |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2017-2018
????? ???????: | ??? ??????? |
??????: | 15-49 |
??????? ?????????: | 18328 |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
??????, 2017-2018
????? ???????: | ??? ??????? |
??????: | 18+ |
??????? ?????????: | 5533 |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
????????, 2014
????? ???????: | ??? ??????? |
??????: | 15-49 |
??????? ?????????: | 16478 |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Σημει?σεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². |
??????, 2018-2019
????? ???????: | ??? ??????? |
??????: | 10-19 |
??????? ?????????: | 9772 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
????????, 2018-2019
????? ???????: | ??? ??????? |
??????: | 10-19 |
??????? ?????????: | 9772 |
?????????? ??????: | Εθνικ? |
??????????: | 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. |
Σημει?σεις: | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Infants, 2019
??????? ?????????: | 22011 |
??????????: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2017-2018
??????? ?????????: | 8113 |
??????????: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2014
??????? ?????????: | 7369 |
??????????: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2013
??????? ?????????: | 4029 |
??????????: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2012-2013
??????? ?????????: | 19640 |
??????????: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2011
??????? ?????????: | 7944 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2007
??????? ?????????: | 5344 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 2004
??????? ?????????: | 6083 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 1999-1900
??????? ?????????: | 5490 |
??????????: | 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 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
Infants, 1996-1997
??????? ?????????: | 4880 |
??????????: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
Σημει?σεις: | 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. |
Ορισμο?: | =>+2SD |
????????? ???????? ??????
????????, 2016
??????????: | 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 |
??????, 2016
??????????: | 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 |
????????, 2016
??????????: | 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 |
??????, 2016
????? ???????: | ???????????????? |
??????: | 11-17 |
??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Σημει?σεις: | % 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. |
Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
??????, 2016
????? ???????: | ???????????????? |
??????: | 11-17 |
??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Σημει?σεις: | % 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. |
Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2016
????? ???????: | ???????????????? |
??????: | 11-17 |
??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Σημει?σεις: | % 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. |
Ορισμο?: | % Adolescents insufficiently active (age standardised estimate) |
Μέση ημερήσια συχνότητα κατανάλωσης ανθρακούχων αναψυκτικών
Παιδιά, 2014-2015
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 12-17 |
Παραπομπές: | 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
????????, 2017
????? ???????: | ??? ??????? |
??????: | 25+ |
??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Ορισμο?: | Estimated per-capita fruit intake (g/day) |
Επιπολασμ?ς της καταν?λωσης φρο?των λιγ?τερο συχν? απ? ημερησ?ως
??????, 2008-2015
????? ???????: | ??? ??????? |
??????: | 12-17 |
??????????: | 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 |
Ορισμο?: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Επιπολασμ?ς της καταν?λωσης λαχανικ?ν λιγ?τερο συχν? απ? ημερησ?ως
??????, 2008-2015
????? ???????: | ??? ??????? |
??????: | 12-17 |
??????????: | 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 |
Ορισμο?: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
???? ??????????? ????????? ??????????? ???????? ???????
??????, 2014-2015
??????: | 12-17 |
??????????: | 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 |
?????????? ???? ??????? ???????? ?????????????? ???????
????????, 2017
????? ???????: | ??? ??????? |
??????: | 25+ |
??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Ορισμο?: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Ενήλικες, 2017
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 25+ |
Παραπομπές: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Ορισμοί: | Estimated per-capita whole grains intake (g/day) |
?????? ????? - ????????????? ??????????
????????, 2015
??????????: | 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. |
Ορισμο?: | % of population with depression disorders |
Ψυχική υγεία - αγχώδεις διαταραχές
Ενήλικες, 2015
Παραπομπές: | 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. |
Ορισμοί: | % of population with anxiety disorders |
% Βρεφών ηλικίας 0-5 μηνών που τρέφονται αποκλειστικά μέσω του μητρικού θηλασμού
Παιδιά, 2015-2020
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Σημειώσεις: | 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. |
Ορισμοί: | % exclusively breastfed 0-5 months |
???????? ??? ?????????
??????, 2020
??????: | 20+ |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
??????: | 20+ |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Ορισμο?: | Age-standardized indicence rates per 100 000 |
Καρκίνος του μαστού
Γυναίκες, 2020
Ηλικία: | 20+ |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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 |
Ορισμοί: | Age-standardized indicence rates per 100 000 |
Κολοορθικός καρκίνος
Ανδρες, 2020
Ηλικία: | 20+ |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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 |
Ορισμοί: | Age-standardized indicence rates per 100 000 |
Γυναίκες, 2020
Ηλικία: | 20+ |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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 |
Ορισμοί: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????????
??????, 2020
??????: | 20+ |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
??????: | 20+ |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ????????? ??????
??????, 2020
??????: | 20+ |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
??????: | 20+ |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Ορισμο?: | Age-standardized indicence rates per 100 000 |
Καρκ?νος του νεφρο?
??????, 2020
??????: | 20+ |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Ορισμο?: | Age-standardized indicence rates per 100 000 |
????????, 2020
??????: | 20+ |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ??? ??????
????????, 2020
??????: | 20+ |
?????????? ??????: | Εθνικ? |
??????????: | 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 |
Ορισμο?: | Age-standardized indicence rates per 100 000 |
???????? ????????? ?????
????????, 2015
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
??????, 2015
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????????, 2015
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Ορισμο?: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Αυξημ?νη χοληστερ?λη
????????, 2008
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
??????, 2008
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????????, 2008
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Ορισμο?: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Αυξημ?νη γλυκ?ζη α?ματος νηστε?ας
??????, 2014
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Ορισμο?: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????????, 2014
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Ορισμο?: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
??????????? ??? ???????
????????, 2021
??????: | 20-79 |
?????????? ??????: | Εθνικ? |
??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Ορισμο?: | Age-adjusted comparative prevalence of diabetes, % |
????????, 2019
??????: | 20-79 |
??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Ορισμο?: | Diabetes age-adjusted comparative prevalence (%). |
????????, 2017
??????????: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Ορισμο?: | 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