Bangladesh
- Oversigt
- Fedmeprævalens
- Tendenser over tid
- Befolkningsfordeling
- Chauffører
- Komorbiditet
- Økonomisk indvirkning
- Politikker
- Contextual factors
Indlæser data – vent venligst
National fedmerisiko *7/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Risiko for fedme i barndommen *3/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Fedmeprævalens
Tendenser over tid
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Chauffører
Utilstrækkelig aktivitet
Indtag af sodavand
Frugtindtag
Grøntsagsforbrug
Indtag af fastfood
Indtag af forarbejdet kød
Indtag af korn
Depression
Angst
Rødder til fedme »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.amning
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Komorbiditet
Økonomisk indvirkning
Politikker
Contextual factors
Fedmeprævalens
Voksne, 2018
Undersøgelsestype: | Målt |
Alder: | 18-69 |
Prøvens størrelse: | 7985 |
Area covered: | National |
Referencer: | 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) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2017-2018
Undersøgelsestype: | Målt |
Prøvens størrelse: | 23861 |
Area covered: | National |
Referencer: | 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) |
Noter (kun tilgængelige på engelsk): | 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. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2014
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 16478 |
Area covered: | National |
Referencer: | 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) |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2011
Undersøgelsestype: | Målt |
Prøvens størrelse: | 17416 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2007
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 10021 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Other married women 15 - 49 years. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 1995-1996
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 3997 |
Referencer: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Noter (kun tilgængelige på engelsk): | 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 |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Børn, 2018-2019
Undersøgelsestype: | Målt |
Alder: | 10-19 |
Prøvens størrelse: | 9772 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | 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 |
Børn, 2014
Undersøgelsestype: | Selvrapporteret |
Alder: | 13-17 |
Prøvens størrelse: | 2989 |
Area covered: | National |
Referencer: | 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 |
Børn, 2009
Undersøgelsestype: | Målt |
Alder: | 6-15 |
Prøvens størrelse: | 10135 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Z score BMI cut-offs used |
Cutoffs: | WHO |
% voksne, der lever med fedme, 1995-2018
Undersøgelsestype: | Målt |
Referencer: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². | |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
% voksne, der lever med overvægt eller fedme, 1995-2018
Undersøgelsestype: | Målt |
Referencer: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2007: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2017: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². | |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
% voksne, der lever med fedme, udvalgte lande, 1976-2023
Mænd
Referencer: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Data provided by the Philippean Depatment of Health, Dr C. Barbu, data reanalysed by Dr Charmaine Duante. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Mohamud WN, Musa KI, Khir AS, Ismail AA, Ismail IS, Kadir KA, Kamaruddin NA, Yaacob NA, Mustafa N, Ali O, Isa SH, Bebakar WM.Prevalence of overweight and obesity among adult Malaysians: an update. Asia Pac J Clin Nutr. 2011;20(1):35-41. 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, 2012: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publication/annual-update-key-results-2014-15-new-zealand-health-survey (last accessed 16.12.2015) 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 14th December 2017) 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
Kvinder
Referencer: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Data provided by the Philippean Depatment of Health, Dr C. Barbu, data reanalysed by Dr Charmaine Duante. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Mohamud WN, Musa KI, Khir AS, Ismail AA, Ismail IS, Kadir KA, Kamaruddin NA, Yaacob NA, Mustafa N, Ali O, Isa SH, Bebakar WM.Prevalence of overweight and obesity among adult Malaysians: an update. Asia Pac J Clin Nutr. 2011;20(1):35-41. 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, 2012: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publication/annual-update-key-results-2014-15-new-zealand-health-survey (last accessed 16.12.2015) 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 14th December 2017) 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Forskellige metoder kan have været brugt til at indsamle disse data, og data fra forskellige undersøgelser er muligvis ikke helt sammenlignelige. Kontroller de originale datakilder for anvendte metoder |
Overvægt/fedme efter uddannelse
Voksne, 2018
Undersøgelsestype: | Målt |
Alder: | 18-69 |
Prøvens størrelse: | 7985 |
Area covered: | National |
Referencer: | 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) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2017-2018
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 18328 |
Area covered: | National |
Referencer: | 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 |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Mænd, 2017-2018
Undersøgelsestype: | Målt |
Alder: | 18+ |
Prøvens størrelse: | 5533 |
Area covered: | National |
Referencer: | 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 |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2014
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 16478 |
Area covered: | National |
Referencer: | 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 |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Piger, 2014
Undersøgelsestype: | Målt |
Alder: | 15-19 |
Prøvens størrelse: | 1188 |
Area covered: | National |
Referencer: | 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. |
Definitioner (kun tilgængelig på engelsk): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
Overvægt/fedme efter alder
Voksne, 2018
Undersøgelsestype: | Målt |
Prøvens størrelse: | 7985 |
Area covered: | National |
Referencer: | 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) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2017-2018
Undersøgelsestype: | Målt |
Prøvens størrelse: | 18328 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Mænd, 2017-2018
Undersøgelsestype: | Målt |
Prøvens størrelse: | 5533 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2014
Undersøgelsestype: | Målt |
Prøvens størrelse: | 16478 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Børn, 2018-2019
Undersøgelsestype: | Målt |
Prøvens størrelse: | 9772 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Overvægt/fedme efter region
Voksne, 2018
Undersøgelsestype: | Målt |
Alder: | 18-69 |
Prøvens størrelse: | 7985 |
Area covered: | National |
Referencer: | 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) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2017-2018
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 18328 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Mænd, 2017-2018
Undersøgelsestype: | Målt |
Alder: | 18+ |
Prøvens størrelse: | 5533 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2014
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 16478 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2014
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 16478 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Drenge, 2018-2019
Undersøgelsestype: | Målt |
Alder: | 10-19 |
Prøvens størrelse: | 9772 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Piger, 2018-2019
Undersøgelsestype: | Målt |
Alder: | 10-19 |
Prøvens størrelse: | 9772 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Drenge, 2009
Undersøgelsestype: | Målt |
Alder: | 6-15 |
Prøvens størrelse: | 10135 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Z score cut-offs used |
Cutoffs: | Other |
Piger, 2009
Undersøgelsestype: | Målt |
Alder: | 6-15 |
Prøvens størrelse: | 10135 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | Z score cut-offs used |
Cutoffs: | Other |
Overvægt/fedme efter socioøkonomisk gruppe
Voksne, 2018
Undersøgelsestype: | Målt |
Alder: | 18-69 |
Prøvens størrelse: | 7985 |
Area covered: | National |
Referencer: | 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) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2017-2018
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 18328 |
Area covered: | National |
Referencer: | 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 |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Mænd, 2017-2018
Undersøgelsestype: | Målt |
Alder: | 18+ |
Prøvens størrelse: | 5533 |
Area covered: | National |
Referencer: | 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 |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2014
Undersøgelsestype: | Målt |
Alder: | 15-49 |
Prøvens størrelse: | 16478 |
Area covered: | National |
Referencer: | 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 |
Noter (kun tilgængelige på engelsk): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Drenge, 2018-2019
Undersøgelsestype: | Målt |
Alder: | 10-19 |
Prøvens størrelse: | 9772 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Piger, 2018-2019
Undersøgelsestype: | Målt |
Alder: | 10-19 |
Prøvens størrelse: | 9772 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | 4,907 boys and 4,865 girls |
Cutoffs: | WHO |
Utilstrækkelig fysisk aktivitet
Voksne, 2016
Referencer: | 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 |
Mænd, 2016
Referencer: | 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 |
Kvinder, 2016
Referencer: | 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 |
Børn, 2016
Undersøgelsestype: | Selvrapporteret |
Alder: | 11-17 |
Referencer: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Noter (kun tilgængelige på engelsk): | % 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. |
Definitioner (kun tilgængelig på engelsk): | % Adolescents insufficiently active (age standardised estimate) |
Drenge, 2016
Undersøgelsestype: | Selvrapporteret |
Alder: | 11-17 |
Referencer: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Noter (kun tilgængelige på engelsk): | % 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. |
Definitioner (kun tilgængelig på engelsk): | % Adolescents insufficiently active (age standardised estimate) |
Piger, 2016
Undersøgelsestype: | Selvrapporteret |
Alder: | 11-17 |
Referencer: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Noter (kun tilgængelige på engelsk): | % 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. |
Definitioner (kun tilgængelig på engelsk): | % Adolescents insufficiently active (age standardised estimate) |
Gennemsnitlig daglig hyppighed af indtagelse af kulsyreholdige læskedrikke
Børn, 2014-2015
Undersøgelsestype: | Målt |
Alder: | 12-17 |
Referencer: | 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
Voksne, 2017
Undersøgelsestype: | Målt |
Alder: | 25+ |
Referencer: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (kun tilgængelig på engelsk): | Estimated per-capita fruit intake (g/day) |
Forekomst af indtag af frugt mindre end dagligt
Børn, 2008-2015
Undersøgelsestype: | Målt |
Alder: | 12-17 |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Forekomst af indtag af grøntsager mindre end dagligt
Børn, 2008-2015
Undersøgelsestype: | Målt |
Alder: | 12-17 |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Gennemsnitlig ugentlig hyppighed af indtagelse af fastfood
Børn, 2014-2015
Alder: | 12-17 |
Referencer: | 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 |
Anslået indtag af forarbejdet kød pr. indbygger
Voksne, 2017
Undersøgelsestype: | Målt |
Alder: | 25+ |
Referencer: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (kun tilgængelig på engelsk): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Voksne, 2017
Undersøgelsestype: | Målt |
Alder: | 25+ |
Referencer: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (kun tilgængelig på engelsk): | Estimated per-capita whole grains intake (g/day) |
Psykisk sundhed – depressionslidelser
Voksne, 2015
Referencer: | 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. |
Definitioner (kun tilgængelig på engelsk): | % of population with depression disorders |
Psykisk sundhed – angstlidelser
Voksne, 2015
Referencer: | 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. |
Definitioner (kun tilgængelig på engelsk): | % of population with anxiety disorders |
% spædbørn, som udelukkende er ammet 0-5 måneder
Børn, 2015-2020
Area covered: | National |
Referencer: | Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS) |
Noter (kun tilgængelige på engelsk): | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
Definitioner (kun tilgængelig på engelsk): | % exclusively breastfed 0-5 months |
Kræft i spiserøret
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Brystkræft
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Tarmkræft
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kræft i bugspytkirtlen
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kræft i galdeblæren
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Nyrekræft
Mænd, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Livmoderkræft
Kvinder, 2020
Alder: | 20+ |
Area covered: | National |
Referencer: | 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 |
Definitioner (kun tilgængelig på engelsk): | Age-standardized indicence rates per 100 000 |
Forhøjet blodtryk
Voksne, 2015
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mænd, 2015
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kvinder, 2015
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Forhøjet kolesterol
Voksne, 2008
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (kun tilgængelig på engelsk): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mænd, 2008
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (kun tilgængelig på engelsk): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kvinder, 2008
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (kun tilgængelig på engelsk): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Forhøjet fasteblodsukkerniveau
Mænd, 2014
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Kvinder, 2014
Referencer: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (kun tilgængelig på engelsk): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabetesprævalens
Voksne, 2021
Alder: | 20-79 |
Area covered: | National |
Referencer: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definitioner (kun tilgængelig på engelsk): | Age-adjusted comparative prevalence of diabetes, % |
Voksne, 2019
Alder: | 20-79 |
Referencer: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitioner (kun tilgængelig på engelsk): | Diabetes age-adjusted comparative prevalence (%). |
Voksne, 2017
Referencer: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definitioner (kun tilgængelig på engelsk): | Diabetes age-adjusted comparative prevalence (%). |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Absent |
Front-of-package labelling? | Absent |
Back-of-pack nutrition declaration? | Absent |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Incoming |
Mandatory limit of trans fats in place (all settings)? | Incoming |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Absent |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Absent |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Absent |
Guidelines/policy on obesity treatment? | Absent |
Promotion of breastfeeding? | Absent |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Present |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
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