Japan
- Overview
- Obesity prevalence
- Trends over time
- Population breakdowns
- Drivers
- Comorbidities
- Economic impact
- Policies
- Contextual factors
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National obesity risk *5/10This 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.Childhood obesity risk *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).
Obesity prevalence
Trends over time
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The report card collates all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.Population breakdowns
Drivers
Comorbidities
Economic impact
Policies
Contextual factors
Obesity prevalence
Adults, 2019
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 4273 |
| Area covered: | National |
| References: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2019 (English Summary) . Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2019.pdf (last accessed 22.09.22) |
| Notes: | Excel results with a breakdown of BMI 25-29.9 & 30=> available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2018
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 5234 |
| Area covered: | National |
| References: | 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) |
| Definitions: | Paper classifies obesity as BMI => 25 Kg/M2 |
| Cutoffs: | Other |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2012
| Survey type: | Measured |
| Age: | 15+ |
| Area covered: | National |
| References: | OECD (2015), Overweight or obese population (indicator). doi: 10.1787/86583552-en (Accessed on 17 June 2015) from National Health Nutrition Survey 2012 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2000
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 15000 |
| Area covered: | National |
| References: | Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1986-1990
| Survey type: | Measured |
| Age: | 20+ |
| References: | 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 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1981-1985
| Survey type: | Measured |
| Age: | 20+ |
| References: | 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 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1976-1980
| Survey type: | Measured |
| Age: | 20+ |
| References: | 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 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2019
| Survey type: | Measured |
| Age: | 6-14 |
| Sample size: | 393 |
| Area covered: | National |
| References: | Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Notes: | NB VERY SMALL SAMPLE SIZE |
| Definitions: | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Cutoffs: | Other |
Children, 2012
| Survey type: | Measured |
| Age: | 6-14 |
| Sample size: | 2192 |
| Area covered: | National |
| References: | Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) |
| Definitions: | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Cutoffs: | Other |
Children, 2010
| Survey type: | Measured |
| Age: | 6-14 |
| Sample size: | 655 |
| Area covered: | National |
| References: | Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) |
| Notes: | NB. Small sample size |
| Definitions: | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Cutoffs: | Other |
Children, 2004-2007
| Survey type: | Measured |
| Age: | 9-10 |
| Sample size: | 1436 |
| Area covered: | Regional - Ina |
| References: | Ochiai, Hirotaka, et al. “Changes in Overweight/Obesity and Central Obesity Status from Preadolescence to Adolescence: A Longitudinal Study among Schoolchildren in Japan.” BMC Public Health, vol. 20, no. 1, 17 Feb. 2020, 10.1186/s12889-020-8343-3. Accessed 11.10.21. |
| Cutoffs: | IOTF |
Children, 1996-2000
| Survey type: | Measured |
| Age: | 6-8 |
| Sample size: | 56604 |
| Area covered: | National |
| References: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Notes: | 56604 = total number included for the duration of the study |
| Cutoffs: | IOTF |
Children, 1986-1990
| Survey type: | Measured |
| Age: | 6-8 |
| Sample size: | 56604 |
| Area covered: | National |
| References: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Notes: | 56604 = total number included for the duration of the study |
| Cutoffs: | IOTF |
Children, 1976-1980
| Survey type: | Measured |
| Age: | 6-8 |
| Sample size: | 56604 |
| Area covered: | National |
| References: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Notes: | 56604 = total number included for the duration of the study |
| Cutoffs: | IOTF |
% Adults living with obesity, 1976-2018
Men
| Survey type: | Measured |
| References: | 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 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 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) |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Women
| Survey type: | Measured |
| References: | 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 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 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) |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with overweight or obesity, 1976-2018
% Children living with overweight or obesity, 2010-2019
Boys and girls
| Survey type: | Measured |
| References: | 2010: Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2012: Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2019: Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Definitions: | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Girls
| Survey type: | Measured |
| References: | 2010: Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2012: Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2019: Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Definitions: | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Boys
| Survey type: | Measured |
| References: | 2010: Japan National Health and Nutrition 2010 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2012: Japan National Health and Nutrition 2012 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 18.09.23) 2019: Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Definitions: | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Children living with overweight or obesity, 1976-2000
Boys
| Survey type: | Measured |
| References: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Definitions: | IOTF |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Girls
| Survey type: | Measured |
| References: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K, Takimoto H. Trends in Childhood obesity in Japan over the last 25 years from the National Nutrition Survey. Obesity Research 2004;12(2):205-214 |
| Definitions: | IOTF |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with obesity, selected countries, 1976-2019
Men
| References: | 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 |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Women
| References: | 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 |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
% Adults living with obesity, selected countries, 1960-2019
Men
| References: | 1960, 1971, 1973, 1976, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1981: Royal College of Physicians (1983). Obesity. Reprinted from the Journal of the Royal College of Physicians of London Vol 17 (No 1) January 1983 1982: Rodriguez-Ojea A, Jimenez S, Berdasco A, Esquivel M. The nutrition transition in Cuba in the nineties:an overview. Public health Nutrition 2002:5(1A), 129-133 1985: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 Aug;29(8):916-24 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1990: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 online published ahead of print. 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1993: Health Survey for England 1993. 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Health Survey for England 1997. 1998: Rodriguez-Ojea A, Jimenez S, Berdasco A and Esquivel M. (2002). The Nutrition transition in Cuba in the nineties: an overview. Public Health Nutrition, 5 (1A): 129 - 133. 1999: Health Survey for England 1999. 2000: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2001: Health Survey for England 2001. 2002: Berg C, Rosengeren A, Aires N, Lappas G, Toren K, Thelle D and Lissner L. (2005). Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO, 29 (8): 916 - 924. 2003: Health Survey for England 2003. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Craig R and Shelton N. (2008). Health Survey for England 2007. Healthy Lifestyles: Knowledge, attitudes and Behaviour. Volume 1. The NHS Information Centre, Leeds. 2008: Health Survey for England 2008. 2009: Health Survey for England 2009 2010: Health Survey for England 2010 2011: Health Survey for England 2011 (http://www.ic.nhs.uk/searchcatalogue?productid=10152&returnid=1685 last accessed 7th January 2013) 2012: Health survey for England 2012 http://www.hscic.gov.uk/catalogue/PUB13219 2013: Health Survey for England 2013 2014: Health Survey for England 2014 http://www.hscic.gov.uk/catalogue/PUB19297 (last accessed 16th December 2015) 2015: Health Survey for England 2015. Available at: http://content.digital.nhs.uk/searchcatalogue?productid=23711&returnid=1685 (last accessed 14th December 2016) 2016: Health Survey for England 2016. Available at: https://digital.nhs.uk/catalogue/PUB30169 (last accessed 13 December 2017) 2017: Health Survey for England 2017 https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2017 (last accessed 4.12.18) 2018: Health Survey for England 2018. https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2018/health-survey-for-england-2018-data-tables (last accessed 03.012.19) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Women
| References: | 1960, 1971, 1973, 1976, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1981: Royal College of Physicians (1983). Obesity. Reprinted from the Journal of the Royal College of Physicians of London Vol 17 (No 1) January 1983 1982: Rodriguez-Ojea A, Jimenez S, Berdasco A, Esquivel M. The nutrition transition in Cuba in the nineties:an overview. Public health Nutrition 2002:5(1A), 129-133 1985: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 Aug;29(8):916-24 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 1988: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1990: Berg C, Rosengren A, Aires N, :appas G, Toren K, Thelle D, Lissner L. Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO 2005 online published ahead of print. 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1993: Health Survey for England 1993. 1995: Health Survey for England 1995. 1996: Health Survey for England 1996. 1997: Health Survey for England 1997. 1998: Rodriguez-Ojea A, Jimenez S, Berdasco A and Esquivel M. (2002). The Nutrition transition in Cuba in the nineties: an overview. Public Health Nutrition, 5 (1A): 129 - 133. 1999: Health Survey for England 1999. 2000: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 2001: Health Survey for England 2001. 2002: Berg C, Rosengeren A, Aires N, Lappas G, Toren K, Thelle D and Lissner L. (2005). Trends in overweight and obesity from 1985 to 2002 in Goteborg, West Sweden. IJO, 29 (8): 916 - 924. 2003: Health Survey for England 2003. 2004: Health Survey for England 2004. 2005: Health Survey for England 2005. 2006: Health Survey for England 2006. 2007: Craig R and Shelton N. (2008). Health Survey for England 2007. Healthy Lifestyles: Knowledge, attitudes and Behaviour. Volume 1. The NHS Information Centre, Leeds. 2008: Health Survey for England 2008. 2009: Health Survey for England 2009 2010: Health Survey for England 2010 2011: Health Survey for England 2011 (http://www.ic.nhs.uk/searchcatalogue?productid=10152&returnid=1685 last accessed 7th January 2013) 2012: Health survey for England 2012 http://www.hscic.gov.uk/catalogue/PUB13219 2013: Health Survey for England 2013 2014: Health Survey for England 2014 http://www.hscic.gov.uk/catalogue/PUB19297 (last accessed 16th December 2015) 2015: Health Survey for England 2015. Available at: http://content.digital.nhs.uk/searchcatalogue?productid=23711&returnid=1685 (last accessed 14th December 2016) 2016: Health Survey for England 2016. Available at: https://digital.nhs.uk/catalogue/PUB30169 (last accessed 13 December 2017) 2017: Health Survey for England 2017 https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2017 (last accessed 4.12.18) 2018: Health Survey for England 2018. https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england/2018/health-survey-for-england-2018-data-tables (last accessed 03.012.19) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) |
| Different methodologies may have been used to collect this data and so data from different surveys may not be strictly comparable. Please check with original data sources for methodologies used. | |
Overweight/obesity by education
Men, 2010
| Survey type: | Measured |
| Age: | 20-64 |
| Sample size: | 2,491 |
| Area covered: | National |
| References: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2010
| Survey type: | Measured |
| Age: | 20-64 |
| Sample size: | 2,491 |
| Area covered: | National |
| References: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2010
| Survey type: | Measured |
| Age: | 6-11 |
| Sample size: | 397 |
| Area covered: | National |
| References: | Kachi Y, Otsuka T, Kawada T. Socioeconomic Status and Overweight: A Population-Based Cross-Sectional Study of Japanese Children and Adolescents. Journal of Epidemiology. 2015;25(7):463-469. doi:10.2188/jea.JE20140108. |
| Notes: | Prevalence of overweight and obesity by Maternal Education (Paternal Education also available) Overweight, including obesity, was defined by International Obesity Task Force (IOTF) cut-offs. Note small sample size. |
| Cutoffs: | WHO |
Overweight/obesity by age
Adults, 2019
| Survey type: | Measured |
| Sample size: | 4273 |
| Area covered: | National |
| References: | Ministry of Health, Labor and Welfare. The National Health and Nutrition Survey (NHNS) Japan, 2019 (English Summary) . Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2019.pdf (last accessed 22.09.22) |
| Notes: | Combined overweight or obesity only provided |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2018
| Survey type: | Measured |
| Sample size: | 5234 |
| Area covered: | National |
| References: | 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) |
| Notes: | Paper classifies obesity as BMI => 25 Kg/M2 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2019
| Survey type: | Measured |
| Sample size: | 393 |
| Area covered: | National |
| References: | Japan National Health and Nutrition 2019 Survey. Excel results available at https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450171&tstat=000001041744&cycle=7&tclass1=000001148507&tclass2val=0 ('last accessed 27.09.22) |
| Notes: | NB NOTE VERY SMALL SAMPLE SIZE |
| Definitions: | Determination of obesity by school health statistics survey method. The degree of obesity in 6 to 14 years old was determined from the standard weight by age and height. Degree of obesity (overweight) = (measured weight (kg) - standard weight by height (kg)) / standard by height Weight (kg) x 100 (%) Overweight +20-30% Obesity >30% |
Children, 1996-2000
| Survey type: | Measured |
| Sample size: | 3083 |
| Area covered: | National |
| References: | Matsushita, Yumi, et al. “Trends in Childhood Obesity in Japan over the Last 25 Years from the National Nutrition Survey.” Obesity Research, vol. 12, no. 2, Feb. 2004, pp. 205–214, 10.1038/oby.2004.27. Accessed 08.11.21. |
| Cutoffs: | IOTF |
Overweight/obesity by region
Children, 1996-2000
| Survey type: | Measured |
| Age: | 6-14 |
| Sample size: | 3083 |
| Area covered: | National |
| References: | Matsushita, Yumi, et al. “Trends in Childhood Obesity in Japan over the Last 25 Years from the National Nutrition Survey.” Obesity Research, vol. 12, no. 2, Feb. 2004, pp. 205–214, 10.1038/oby.200a4.27. Accessed 08.11.21. |
| Cutoffs: | IOTF |
Overweight/obesity by socio-economic group
Adults, 2014
| Survey type: | Measured |
| Age: | 20+ |
| Sample size: | 6000 |
| Area covered: | National |
| References: | Kurotani, Kayo, et al. “Diet Quality of Japanese Adults with Respect to Age, Sex, and Income Level in the National Health and Nutrition Survey, Japan.” Public Health Nutrition, vol. 23, no. 5, 18 Nov. 2019, pp. 821–832, 10.1017/s1368980019002088. Accessed 08.11.21. |
| Notes: | Data from National Health and Nutrition Survey, Japan 2014 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2010
| Survey type: | Measured |
| Age: | 20-64 |
| Sample size: | 2,491 |
| Area covered: | National |
| References: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| Definitions: | Household income level (Japanese yen) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2010
| Survey type: | Measured |
| Age: | 20-64 |
| Sample size: | 2,491 |
| Area covered: | National |
| References: | Nakamura, Tomiyo, et al. “Relationship between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.” Journal of Epidemiology, vol. 28, no. Supplement_III, 2018, pp. S10–S16, www.ncbi.nlm.nih.gov/pmc/articles/PMC5825685/, 10.2188/jea.je20170249. Accessed 11 Oct. 2021. |
| Definitions: | Household income level (Japanese yen) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2010
| Survey type: | Measured |
| Age: | 6-11 |
| Sample size: | 397 |
| Area covered: | National |
| References: | Kachi Y, Otsuka T, Kawada T. Socioeconomic Status and Overweight: A Population-Based Cross-Sectional Study of Japanese Children and Adolescents. Journal of Epidemiology. 2015;25(7):463-469. doi:10.2188/jea.JE20140108. |
| Notes: | Prevalence of overweight and obesity by household income. Overweight, including obesity, was defined by International Obesity Task Force (IOTF) cut-offs. Note small sample size. |
| Cutoffs: | IOTF |
Children, 2010
| Survey type: | Measured |
| Age: | 6-11 |
| Sample size: | 397 |
| Area covered: | National |
| References: | Kachi Y, Otsuka T, Kawada T. Socioeconomic Status and Overweight: A Population-Based Cross-Sectional Study of Japanese Children and Adolescents. Journal of Epidemiology. 2015;25(7):463-469. doi:10.2188/jea.JE20140108. |
| Notes: | Prevalence of overweight and obesity by Paternal Occupation (Maternal Occupation also available) Overweight, including obesity, was defined by International Obesity Task Force (IOTF) cut-offs. Note small sample size. |
| Cutoffs: | IOTF |
Insufficient physical activity
Adults, 2016
| References: | 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 |
Men, 2016
| References: | 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 |
Women, 2016
| References: | 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 |
Estimated per capita fruit intake
Adults, 2017
| Survey type: | Measured |
| Age: | 25+ |
| References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definitions: | Estimated per-capita fruit intake (g/day) |
Estimated per-capita processed meat intake
Adults, 2017
| Survey type: | Measured |
| Age: | 25+ |
| References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definitions: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adults, 2017
| Survey type: | Measured |
| Age: | 25+ |
| References: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definitions: | Estimated per-capita whole grains intake (g/day) |
Mental health - depression disorders
Adults, 2015
| References: | 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. |
| Definitions: | % of population with depression disorders |
Mental health - anxiety disorders
Adults, 2015
| References: | 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. |
| Definitions: | % of population with anxiety disorders |
Oesophageal cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Breast cancer
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Colorectal cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Pancreatic cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Gallbladder cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Kidney cancer
Men, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Cancer of the uterus
Women, 2020
| Age: | 20+ |
| Area covered: | National |
| References: | 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 10.01.2195 |
| Definitions: | Age-standardized indicence rates per 100 000 |
Raised blood pressure
Adults, 2015
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Men, 2015
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Women, 2015
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definitions: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Raised cholesterol
Adults, 2008
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Men, 2008
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Women, 2008
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definitions: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Raised fasting blood glucose
Men, 2014
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definitions: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Women, 2014
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definitions: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabetes prevalence
Adults, 2021
| Age: | 20-79 |
| Area covered: | National |
| References: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Definitions: | Age-adjusted comparative prevalence of diabetes, % |
Adults, 2019
| Age: | 20-79 |
| References: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Definitions: | Diabetes age-adjusted comparative prevalence (%). |
Adults, 2017
| References: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Definitions: | 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? | Present |
| Front-of-package labelling? | Present |
| 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)? | Absent |
| Mandatory limit of trans fats in place (all settings)? | Absent |
| 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? | Present |
| National obesity strategy? | Present |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Present |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Present |
| Guidelines/policy on obesity treatment? | Absent |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions
