Μπαγκλαντές
Lower-middle income
- Επισκόπηση
- Επιπολασμός της παχυσαÏκίας
- Τάσεις σε συνάÏτηση με τον χÏόνο
- Κατανομή πληθυσμοÏ
- Παράγοντες
- ΣυννοσηÏότητες
- ΟικονομικÎÏ‚ επιπτώσεις
- ΠολιτικÎς
- Contextual factors
Επιπολασμός της παχυσαÏκίας
Τάσεις σε συνάÏτηση με τον χÏόνο
Report cards
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Κατανομή πληθυσμοÏ
Παράγοντες
ΑνεπαÏκής δÏαστηÏιότητα
Κατανάλωση αναψυκτικών
Κατανάλωση φÏοÏτων
Κατανάλωση λαχανικών
Κατανάλωση γÏήγοÏου φαγητοÏ
Κατανάλωση επεξεÏγασμÎνου κÏÎατος
Κατανάλωση δημητÏιακών
Κατάθλιψη
Άγχος
Αίτια της παχυσαÏκίας »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Θηλασμός
Unaffordable diet
Λήψη κάÏτας αναφοÏάς
ΣυννοσηÏότητες
ΚαÏκίνος του οισοφάγου
ΚαÏκίνος του μαστοÏ
ΚολοοÏθικός καÏκίνος
ΚαÏκίνος του παγκÏÎατος
ΚαÏκίνος της χοληδόχου κÏστης
Καρκίνος του νεφροÏ
ΚαÏκίνος της μήτÏας
ΑυξημÎνη αÏτηÏιακή πίεση
ΑυξημÎνη χοληστερÏŒλη
ΑυξημÎνη γλυκÏŒζη αίματος νηστε
Επιπολασμός του διαβήτη
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Λήψη κάÏτας αναφοÏάς
ΟικονομικÎÏ‚ επιπτώσεις
ΠολιτικÎς
Contextual factors
Επιπολασμός της παχυσαÏκίας
Ενήλικες, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 13970 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ΣημειÏŽσεις: | 8279 Women, 5691 Men |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 18-69 |
| ΜÎγεθος δείγματος: | 7985 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 2017-2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 23861 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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) |
| ΣημειÏŽσεις: | 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 υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 16478 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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) |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 2011
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 17416 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2007
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 10021 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Other married women 15 - 49 years. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 1995-1996
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 3997 |
| ΠαÏαπομπÎÏ‚: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| ΣημειÏŽσεις: | 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 υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΚοÏίτσια, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-19 |
| ΜÎγεθος δείγματος: | 705 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Ορισμοί: | >1 <2 SD (overweight) +2 SD (obesity) |
| Cutoffs: | WHO 2007 |
Παιδιά, 2019-2020
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-19 |
| ΜÎγεθος δείγματος: | 9128 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| ΣημειÏŽσεις: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
Παιδιά, 2018-2019
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 10-19 |
| ΜÎγεθος δείγματος: | 9772 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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
| ΤÏπος ÎÏευνας: | ΑυτοαναφεÏόμενοι |
| Ηλικία: | 13-17 |
| ΜÎγεθος δείγματος: | 2989 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 6-15 |
| ΜÎγεθος δείγματος: | 10135 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Z score BMI cut-offs used |
| Cutoffs: | WHO |
0-5 years, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 4254 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Bangladesh Demographic Health Survey 2022 |
| ΣημειÏŽσεις: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Ορισμοί: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 22011 |
| ΠαÏαπομπÎÏ‚: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2018-2019
| Ηλικία: | 0-5 |
| ΠαÏαπομπÎÏ‚: | Other: Bangladesh Integrated Household Survey (BIHS) 2018-2019. Washington, DC: IFPRI. 2020 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2017-2018
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 8113 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2015
| Ηλικία: | 0-5 |
| ΠαÏαπομπÎÏ‚: | Other: Bangladesh Integrated Household Survey (BIHS) 2015. Washington, DC: International Food Policy Research Institute (IFPRI) |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2014
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 7369 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 0-5 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | State of food security and nutrition in Bangladesh: 2014 |
| ΣημειÏŽσεις: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Ορισμοί: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2013
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 4029 |
| ΠαÏαπομπÎÏ‚: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2012-2013
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 19640 |
| ΠαÏαπομπÎÏ‚: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2011
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 7944 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2011-2012
| Ηλικία: | 0-5 |
| ΠαÏαπομπÎÏ‚: | Other: Bangladesh Integrated Household Survey 2011-2012. Washington DC, United States: USAID. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2007
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 5344 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2006
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 24302 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2005
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 74758 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2004
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 6083 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2003
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 86999 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2002
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 53315 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2001
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 63444 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1999
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 49374 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1999-1900
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 5490 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1998
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 49496 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1996
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 81067 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1996-1997
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 4880 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1995
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 87051 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1994
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 63753 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1993
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 42826 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1992
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 36997 |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1991
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 32493 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1989-1990
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 1914 |
| ΠαÏαπομπÎÏ‚: | NNS: Report of the child nutrition status survey 1989-90. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1991 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1985-1986
| Ηλικία: | 0-5 |
| ΜÎγεθος δείγματος: | 2675 |
| ΠαÏαπομπÎÏ‚: | Other: Bangladesh household expenditure survey 1985-86. Bangladesh bureau of statistics. Dhaka, Bangladesh, 1987 |
| ΣημειÏŽσεις: | 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 1995-2022
????????
| ????? ???????: | ??? ??????? |
| ??????????: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Σημει?σεις: | Aged 15-49 except in 2022 (aged 20-49) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 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 1995-2022
????????
| ????? ???????: | ??? ??????? |
| ??????????: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Σημει?σεις: | Aged 15-49 except in 2022 (aged 20-49) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 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: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 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 [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| 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: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 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 [Last Accessed 19.11.25] 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| 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 | |
ΥπεÏβολικό βάÏος/ΠαχυσαÏκία ανά μοÏφωτικό επίπε&del
ΑνδÏες, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 13970 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 13970 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 18-69 |
| ΜÎγεθος δείγματος: | 7985 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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) |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2017-2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 18328 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2017-2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 18+ |
| ΜÎγεθος δείγματος: | 5533 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 16478 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΚοÏίτσια, 2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-19 |
| ΜÎγεθος δείγματος: | 1188 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| Ορισμοί: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
0-5 years, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 4077 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Bangladesh Demographic Health Survey 2022 |
| ΣημειÏŽσεις: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Ορισμοί: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 4313 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +2 SD |
0-5 years, 2019
| ΜÎγεθος δείγματος: | 22011 |
| ΠαÏαπομπÎÏ‚: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2017-2018
| ΜÎγεθος δείγματος: | 8113 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2014
| ΜÎγεθος δείγματος: | 7369 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2012-2013
| ΜÎγεθος δείγματος: | 19640 |
| ΠαÏαπομπÎÏ‚: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2011
| ΜÎγεθος δείγματος: | 7944 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2007
| ΜÎγεθος δείγματος: | 5344 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2004
| ΜÎγεθος δείγματος: | 6083 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1999-2000
| ΜÎγεθος δείγματος: | 5490 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1996-1997
| ΜÎγεθος δείγματος: | 4880 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| ΣημειÏŽσεις: | 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 |
?????????? ?????/?????????? ??? ??????
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 13970 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
????????, 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. | |
??????, 2019-2020
| ????? ???????: | ??? ??????? |
| ??????? ?????????: | 9128 |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| Σημει?σεις: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
??????, 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 |
ΥπεÏβολικό βάÏος/παχυσαÏκία ανά πεÏιφÎÏεια
ΑνδÏες, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 13970 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 13970 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 18-69 |
| ΜÎγεθος δείγματος: | 7985 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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) |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2017-2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 18328 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2017-2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 18+ |
| ΜÎγεθος δείγματος: | 5533 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 16478 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 16478 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΚοÏίτσια, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-19 |
| ΜÎγεθος δείγματος: | 705 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Cutoffs: | +1SD to 2SD />2SD |
Παιδιά, 2019-2020
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-19 |
| ΜÎγεθος δείγματος: | 9128 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| ΣημειÏŽσεις: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
ΑγόÏια, 2018-2019
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 10-19 |
| ΜÎγεθος δείγματος: | 9772 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
ΚοÏίτσια, 2018-2019
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 10-19 |
| ΜÎγεθος δείγματος: | 9772 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
ΑγόÏια, 2009
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 6-15 |
| ΜÎγεθος δείγματος: | 10135 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Z score cut-offs used |
| Cutoffs: | Other |
ΚοÏίτσια, 2009
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 6-15 |
| ΜÎγεθος δείγματος: | 10135 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | Z score cut-offs used |
| Cutoffs: | Other |
0-5 years, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 4254 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Bangladesh Demographic Health Survey 2022 |
| ΣημειÏŽσεις: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Ορισμοί: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| ΜÎγεθος δείγματος: | 22011 |
| ΠαÏαπομπÎÏ‚: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2017-2018
| ΜÎγεθος δείγματος: | 8113 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2014
| ΜÎγεθος δείγματος: | 7369 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2013
| ΜÎγεθος δείγματος: | 4029 |
| ΠαÏαπομπÎÏ‚: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2012-2013
| ΜÎγεθος δείγματος: | 19640 |
| ΠαÏαπομπÎÏ‚: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2011
| ΜÎγεθος δείγματος: | 7944 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2007
| ΜÎγεθος δείγματος: | 5344 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2004
| ΜÎγεθος δείγματος: | 6083 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1999-1900
| ΜÎγεθος δείγματος: | 5490 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1996-1997
| ΜÎγεθος δείγματος: | 4880 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| ΣημειÏŽσεις: | 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 |
ΥπεÏβολικό βάÏος/ΠαχυσαÏκία ανά κοινωνικοοικ&o
ΑνδÏες, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 13970 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 13970 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Ενήλικες, 2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 18-69 |
| ΜÎγεθος δείγματος: | 7985 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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) |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2017-2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 18328 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
ΑνδÏες, 2017-2018
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 18+ |
| ΜÎγεθος δείγματος: | 5533 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2014
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-49 |
| ΜÎγεθος δείγματος: | 16478 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Παιδιά, 2019-2020
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 15-19 |
| ΜÎγεθος δείγματος: | 9128 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Md Sabbir Ahmed, Safayet Khan, Mansura Islam, Md Irteja Islam, Md Musharraf Hossain, Bayezid Khan, Fakir Md Yunus, Prevalence, inequality and associated factors of overweight/obesity among Bangladeshi adolescents aged 15–19 years, International Health, 2024;, ihae012, https://doi.org/10.1093/inthealth/ihae012 |
| ΣημειÏŽσεις: | Data were collected from ever-married female, unmarried female and unmarried male adolescents aged 15–19 y residing in non-institutional dwelling units. |
| Cutoffs: | WHO |
ΑγόÏια, 2018-2019
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 10-19 |
| ΜÎγεθος δείγματος: | 9772 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
ΚοÏίτσια, 2018-2019
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 10-19 |
| ΜÎγεθος δείγματος: | 9772 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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. |
| ΣημειÏŽσεις: | 4,907 boys and 4,865 girls |
| Cutoffs: | WHO |
0-5 years, 2022
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| ΜÎγεθος δείγματος: | 4254 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Bangladesh Demographic Health Survey 2022 |
| ΣημειÏŽσεις: | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Ορισμοί: | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019
| ΜÎγεθος δείγματος: | 22011 |
| ΠαÏαπομπÎÏ‚: | MICS: Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2017-2018
| ΜÎγεθος δείγματος: | 8113 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2014
| ΜÎγεθος δείγματος: | 7369 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2013
| ΜÎγεθος δείγματος: | 4029 |
| ΠαÏαπομπÎÏ‚: | Other: Utilization of Essential Service Delivery (UESD) Survey 2013. Dhaka: National Institute of Population Research and Training (NIPORT), 2014. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2012-2013
| ΜÎγεθος δείγματος: | 19640 |
| ΠαÏαπομπÎÏ‚: | MICS: Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2011
| ΜÎγεθος δείγματος: | 7944 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2007
| ΜÎγεθος δείγματος: | 5344 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 2004
| ΜÎγεθος δείγματος: | 6083 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1999-1900
| ΜÎγεθος δείγματος: | 5490 |
| ΠαÏαπομπÎÏ‚: | 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 |
| ΣημειÏŽσεις: | 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 |
0-5 years, 1996-1997
| ΜÎγεθος δείγματος: | 4880 |
| ΠαÏαπομπÎÏ‚: | DHS: Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| ΣημειÏŽσεις: | 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 |
Double burden of underweight & overweight
????????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 20+ |
| ??????????: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Σημει?σεις: | Age Standardised estimates |
| Ορισμο?: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
??????, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 5-19 |
| ??????????: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Σημει?σεις: | Age standardised estimates |
| Ορισμο?: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | Bangladesh Demographic Health Survey 2022 |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2019
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2017-2018
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2014
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, and ICF International. 2016 |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | Bangladesh 2012-13 multiple indicator cluster survey. Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics and UNICEF Bangladesh, 2014. |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | Bangladesh demographic and health survey 2011. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, and ICF International, 2013 |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2007
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | 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 |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2004
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | Bangladesh demographic and health survey 2004. Demographic and Health Surveys. Dhaka, Bangladesh and Calverton, Maryland [USA]: NIPORT, Mitra and Associates, and ORC Macro, 2005 |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1999-2000
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | 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 |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1996-1997
| ????? ???????: | ??? ??????? |
| ??????: | 0-5 |
| ??????????: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Σημει?σεις: | Bangladesh demographic and health survey 1996-97. Demographic and Health Surveys. National Institute for Population Research and Training. Dhaka, Bangladesh, 1997 |
| Ορισμο?: | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
ΑνεπαÏκής σωματική άσκηση
Ενήλικες, 2022
| ΤÏπος ÎÏευνας: | ΑυτοαναφεÏόμενοι |
| Ηλικία: | 18+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Ορισμοί: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
ΑνδÏες, 2022
| ΤÏπος ÎÏευνας: | ΑυτοαναφεÏόμενοι |
| Ηλικία: | 18+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Ορισμοί: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Γυναίκες, 2022
| ΤÏπος ÎÏευνας: | ΑυτοαναφεÏόμενοι |
| Ηλικία: | 18+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Ορισμοί: | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Ενήλικες, 2016
| ΠαÏαπομπÎÏ‚: | 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 |
ΑνδÏες, 2016
| ΠαÏαπομπÎÏ‚: | 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 |
Γυναίκες, 2016
| ΠαÏαπομπÎÏ‚: | 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 |
Παιδιά, 2016
| ΤÏπος ÎÏευνας: | ΑυτοαναφεÏόμενοι |
| Ηλικία: | 11-17 |
| ΠαÏαπομπÎÏ‚: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| ΣημειÏŽσεις: | % 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. |
| Ορισμοί: | % Adolescents insufficiently active (age standardised estimate) |
ΑγόÏια, 2016
| ΤÏπος ÎÏευνας: | ΑυτοαναφεÏόμενοι |
| Ηλικία: | 11-17 |
| ΠαÏαπομπÎÏ‚: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| ΣημειÏŽσεις: | % 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. |
| Ορισμοί: | % Adolescents insufficiently active (age standardised estimate) |
ΚοÏίτσια, 2016
| ΤÏπος ÎÏευνας: | ΑυτοαναφεÏόμενοι |
| Ηλικία: | 11-17 |
| ΠαÏαπομπÎÏ‚: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| ΣημειÏŽσεις: | % 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. |
| Ορισμοί: | % Adolescents insufficiently active (age standardised estimate) |
ΜÎση ημεÏήσια συχνότητα κατανάλωσης ανθÏακοÏχων α
Παιδιά, 2014-2015
| ΤÏπος ÎÏευνας: | Από μÎÏ„Ïηση |
| Ηλικία: | 12-17 |
| ΠαÏαπομπÎÏ‚: | 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
Ενήλικες, 2017
| Ηλικία: | 25+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμοί: | Estimated per capita fruit intake (g/day) |
ΕπιπολασμÏŒς της κατανάλωσης &ph
Παιδιά, 2014
| ΤÏπος ÎÏευνας: | ΑυτοαναφεÏόμενοι |
| Ηλικία: | 12-17 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| Ορισμοί: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
ΕπιπολασμÏŒς της κατανάλωσης &la
Παιδιά, 2014
| ΤÏπος ÎÏευνας: | ΑυτοαναφεÏόμενοι |
| Ηλικία: | 12-17 |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
| Ορισμοί: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
ΜÎση εβδομαδιαία συχνότητα κατανάλωσης γÏήγοÏο&u
Παιδιά, 2014-2015
| Ηλικία: | 12-17 |
| ΠαÏαπομπÎÏ‚: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita processed meat intake
Ενήλικες, 2017
| Ηλικία: | 25+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμοί: | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
????????, 2017
| ????? ???????: | ??? ??????? |
| ??????: | 25+ |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Ορισμο?: | Estimated per-capita whole grains intake (g/day) |
Ψυχική υγεία - καταθλιπτικÎÏ‚ διαταÏαχÎÏ‚
Ενήλικες, 2021
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Ορισμοί: | Number living with depression per 100,000 population (adults 20+ years) |
ΑνδÏες, 2021
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Ορισμοί: | Number living with depression per 100,000 population (adults 20+ years) |
Γυναίκες, 2021
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Ορισμοί: | Number living with depression per 100,000 population (adults 20+ years) |
Ενήλικες, 2015
| ΠαÏαπομπÎÏ‚: | 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 depression disorders |
Παιδιά, 2021
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Ορισμοί: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
ΑγόÏια, 2021
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Ορισμοί: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
ΚοÏίτσια, 2021
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Ορισμοί: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Ψυχική υγεία - αγχώδεις διαταÏαχÎÏ‚
Ενήλικες, 2021
| Ηλικία: | 20+ |
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Ορισμοί: | Number living with anxiety per 100,000 population |
ΑνδÏες, 2021
| Ηλικία: | 20+ |
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Ορισμοί: | Number living with anxiety per 100,000 population |
Γυναίκες, 2021
| Ηλικία: | 20+ |
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Ορισμοί: | Number living with anxiety per 100,000 population |
Ενήλικες, 2015
| ΠαÏαπομπÎÏ‚: | 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 |
Παιδιά, 2021
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
ΑγόÏια, 2021
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
ΚοÏίτσια, 2021
| ΠαÏαπομπÎÏ‚: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% Î’Ïεφών ηλικίας 0-5 μηνών που Ï„ÏÎφονται αποκλειστικά &mu
0-5 years, 2015-2022
| ΠαÏαπομπÎÏ‚: | Bangladesh Demographic Health Survey 2022 |
| ΣημειÏŽσεις: | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Ενήλικες, 2024
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| ΣημειÏŽσεις: | The percent of the population whose food budget is below the cost of a healthy diet. |
Ενήλικες, 2022
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
ΚαÏκίνος του οισοφάγου
ΑνδÏες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Indicence per 100,000 |
Γυναίκες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Indicence per 100,000 |
ΑνδÏες, 2020
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
ΚαÏκίνος του μαστοÏ
Γυναίκες, 2022
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
ΚολοοÏθικός καÏκίνος
ΑνδÏες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
Γυναίκες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
ΑνδÏες, 2020
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
ΚαÏκίνος του παγκÏÎατος
ΑνδÏες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
Γυναίκες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
ΑνδÏες, 2020
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
ΚαÏκίνος της χοληδόχου κÏστης
ΑνδÏες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Indicence per 100,000 |
Γυναίκες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Indicence per 100,000 |
ΑνδÏες, 2020
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
Καρκίνος του νεφροÏ
ΑνδÏες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
Γυναίκες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
ΑνδÏες, 2020
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
ΚαÏκίνος της μήτÏας
Γυναίκες, 2022
| Ηλικία: | 20+ |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
Γυναίκες, 2020
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | 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 |
???????? ????????? ?????
????????, 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). |
??????????? ??? ???????
????????, 2024
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
????????, 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 (%). |
Ovarian Cancer
Γυναίκες, 2022
| Ηλικία: | 20+ |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
Leukemia
ΑνδÏες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Incidence per 100,000 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Liver and intrahepatic bile duct Cancer
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμο?: | Incidence per 100,000 |
Multiple Myeloma
ΑνδÏες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Indicence per 100,000 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Γυναίκες, 2022
| Ηλικία: | 20+ |
| ΓεωγÏαφική κάλυψη: | Εθνική |
| ΠαÏαπομπÎÏ‚: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμοί: | Indicence per 100,000 |
| Εκτός εάν υποδεικνÏεται διαφοÏετικά, το υπεÏβ&omi. | |
Non Hodgkin Lymphoma
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμο?: | Incidence per 100,000 |
| ????? ??? ????????????? ???????????, ?? ?????????? ????? ?????????? ?? ??? ?????? 25 ????? ??? 29,9 ?????/m², ? ?????????? ?????????? ?? ??? ????????? ??? 30 ????/m². | |
Thyroid Cancer
??????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμο?: | Incidence per 100,000 |
????????, 2022
| ??????: | 20+ |
| ?????????? ??????: | Εθνικ? |
| ??????????: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Ορισμο?: | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Absent |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Incoming |
| Mandatory limit of trans fats in place (all settings)? | Incoming |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Absent |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Absent |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions