Russian Federation
- Overview
- Obesity prevalence
- Trends over time
- Population breakdowns
- Drivers
- Comorbidities
- Policies
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National obesity risk *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.Childhood obesity risk *7/11This 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).
* Based on estimated data. For more information see Publications
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
Insufficient activity
Soft drink consumption
Fruit consumption
Vegetable consumption
Processed meat consumption
Grains consumption
Depression
Anxiety
Roots of obesity »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Download report card
Comorbidities
Obesity prevalence
Adults, 2012-2014
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20332 |
| Area covered: | National |
| References: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| 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: | 19-55 |
| Sample size: | 9006 |
| Area covered: | National |
| References: | Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. |
| Notes: | Russian Longditudinal Monitoring Survey. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1992
| Survey type: | Measured |
| Age: | 19-55 |
| Sample size: | 17150 |
| References: | Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 |
| Notes: | The overweight figures are reported to be approximations. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2017
| Survey type: | Measured |
| Age: | 7 |
| Sample size: | 2162 |
| Area covered: | National |
| References: | COSI 2017. https://apps.who.int/iris/bitstream/handle/10665/341189/WHO-EURO-2021-2495-42251-58349-eng.pdf (Accessed 20.07.21) |
| Notes: | NB. Combined 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 20.07.21) |
| Cutoffs: | IOTF |
Children, 2005
| Survey type: | Measured |
| Age: | 7-11 |
| Sample size: | 772 |
| Area covered: | National |
| References: | IASO Reanalysis of RLMS 2005 Original Source: “Russia Longitudinal Monitoring survey, RLMS-HSE”, conducted by HSE and ZAO “Demoscope” together with Carolina Population Center, University of North Carolina at Chapel Hill and the Institute of Sociology RAS. (RLMS-HSE sites: http://www.cpc.unc.edu/projects/rlms-hse, http://www.hse.ru/org/hse/rlms) |
| Notes: | IOTF Cut Off Used |
| Cutoffs: | IOTF |
Children, 1992
| Survey type: | Measured |
| Age: | 5-17 |
| Sample size: | 3142 |
| Area covered: | National |
| References: | Deev AV. Russian Longitudinal Monitoring Survey (RLMS). Re-analysed by Dr Alexander D Deev. |
| Notes: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
| Cutoffs: | IOTF |
% Adults living with obesity, 1992-2014
Men
| Survey type: | Measured |
| References: | 1992: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 2000: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. 2012: Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| 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. | |
Women
| Survey type: | Measured |
| References: | 1992: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 2000: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. 2012: Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| 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. | |
% Adults living with overweight or obesity, 1992-2014
Men
| Survey type: | Measured |
| References: | 1992: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 2000: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. 2012: Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| 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. | |
Women
| Survey type: | Measured |
| References: | 1992: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302 2000: Jahns L, Baturin A, Popkin BM. Obesity, diet, and poverty: trends in the Russian transition to market economy. EJCN 2003;57:1295-1302. 2012: Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| 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. | |
Overweight/obesity by education
Men, 2012-2013
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20,190 |
| Area covered: | National |
| References: | Kontsevaya A,. Shalnova S,. Deev A, Breda J.b, Jewell J, Rakovac I,. Conrady A, Rotar O, Zhernakova Y, Chazova I and Boytsov S.Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts 2019;12:103–114. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2012-2013
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20,190 |
| Area covered: | National |
| References: | Kontsevaya A,. Shalnova S,. Deev A, Breda J.b, Jewell J, Rakovac I,. Conrady A, Rotar O, Zhernakova Y, Chazova I and Boytsov S.Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts 2019;12:103–114. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2012-2014
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20332 |
| Area covered: | National |
| References: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2012-2014
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20332 |
| Area covered: | National |
| References: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2002-2005
| Survey type: | Measured |
| Age: | 45-69 |
| Sample size: | 9231 |
| Area covered: | Urban areas |
| References: | Pikhart H, Bobak M, Malyutina S, Pajak A, Kubinova R, Marmot M. Obesity and education in three countries of the Central and Eastern Europe: the HAPIEE study. Cent Eur J Public Health. 2007;15:140–142 |
| Notes: | Obesity was defined as BMI>30 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. | |
Women, 2002-2005
| Survey type: | Measured |
| Age: | 45-69 |
| Sample size: | 9231 |
| Area covered: | Urban areas |
| References: | Pikhart H, Bobak M, Malyutina S, Pajak A, Kubinova R, Marmot M. Obesity and education in three countries of the Central and Eastern Europe: the HAPIEE study. Cent Eur J Public Health. 2007;15:140–142 |
| Notes: | Obesity was defined as BMI>30 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. | |
Overweight/obesity by age
Adults, 2007-2010
| Survey type: | Measured |
| Sample size: | 3938 |
| Area covered: | National |
| References: | Wu F, Guo Y, Chatterji S, et al. Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1. BMC Public Health. 2015;15:88. doi:10.1186/s12889-015-1407-0. |
| Notes: | Prevalence of obesity in adults aged 50+ |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2005
| Survey type: | Measured |
| Sample size: | 1081 |
| Area covered: | National |
| References: | World Obesity Reanalysis of RLMS 2005 Original Source: “Russia Longitudinal Monitoring survey, RLMS-HSE”, conducted by HSE and ZAO “Demoscope” together with Carolina Population Center, University of North Carolina at Chapel Hill and the Institute of Sociology RAS. (RLMS-HSE sites: http://www.cpc.unc.edu/projects/rlms-hse, http://www.hse.ru/org/hse/rlms) |
| Cutoffs: | IOTF |
Overweight/obesity by region
Men, 2012-2013
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20,190 |
| Area covered: | National |
| References: | Kontsevaya A,. Shalnova S,. Deev A, Breda J.b, Jewell J, Rakovac I,. Conrady A, Rotar O, Zhernakova Y, Chazova I and Boytsov S.Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts 2019;12:103–114. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2012-2013
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20,190 |
| Area covered: | National |
| References: | Kontsevaya A,. Shalnova S,. Deev A, Breda J.b, Jewell J, Rakovac I,. Conrady A, Rotar O, Zhernakova Y, Chazova I and Boytsov S.Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters and Cardiovascular Risk Factors. Obes Facts 2019;12:103–114. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2012-2014
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20332 |
| Area covered: | National |
| References: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2012-2014
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20332 |
| Area covered: | National |
| References: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2007-2010
| Survey type: | Measured |
| Age: | 50+ |
| Sample size: | 3938 |
| Area covered: | National |
| References: | Wu F, Guo Y, Chatterji S, et al. Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1. BMC Public Health. 2015;15:88. doi:10.1186/s12889-015-1407-0. |
| Notes: | Prevalence of obesity in adults aged 50+ |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 1992
| Survey type: | Measured |
| Age: | 6-9 |
| Sample size: | Total sample size (6-18yrs old) = 6883 |
| Area covered: | National |
| References: | Youfa Wang.Cross-national comparison of childhood obesity: the epidemic and the relationship between obesity and socioeconomic status. Int. J. Epidemiol. (2001) 30 (5): 1129-1136. doi: 10.1093/ije/30.5.1129 |
| Notes: | The study used the US NCHS body mass index (BMI = wt/ht2) reference to define obesity (BMI ≥95th percentile) and overweight (85th≤BMI<95th percentile). |
| Cutoffs: | Other |
Overweight/obesity by socio-economic group
Men, 2012-2014
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20332 |
| Area covered: | National |
| References: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2012-2014
| Survey type: | Measured |
| Age: | 25-64 |
| Sample size: | 20332 |
| Area covered: | National |
| References: | Kontsevaya A, Shalnova S, Deev A et al. Overweight and Obesity in the Russian Population: Prevalence in Adults and Association with Socioeconomic Parameters. and Cardiovascular Risk Factors.Obesity Facts 2019;12:103–114 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 1992
| Survey type: | Measured |
| Age: | 6-9 |
| Sample size: | Total sample size (6-18yrs old) = 6883 |
| Area covered: | National |
| References: | Youfa Wang.Cross-national comparison of childhood obesity: the epidemic and the relationship between obesity and socioeconomic status. Int. J. Epidemiol. (2001) 30 (5): 1129-1136. doi: 10.1093/ije/30.5.1129 |
| Notes: | The study used the US NCHS body mass index (BMI = wt/ht2) reference to define obesity (BMI ≥95th percentile) and overweight (85th≤BMI<95th percentile). |
| Cutoffs: | Other |
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 |
Children, 2016
| Survey type: | Self-reported |
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2016
| Survey type: | Self-reported |
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2016
| Survey type: | Self-reported |
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Children, 2010
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Boys, 2010
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Girls, 2010
| Age: | 11-17 |
| References: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % 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. |
| Definitions: | % Adolescents insufficiently active (age standardised estimate) |
Prevalence of at least daily carbonated soft drink consumption
Children, 2010-2014
| Survey type: | Measured |
| References: | World Health Organization. (2017). Adolescent obesity and related behaviours: Trends and inequalities in the who european region, 2002-2014: observations from the Health Behavior in School-aged Children (HBSC) WHO collaborative cross-national study (J. Inchley, D. Currie, J. Jewel, J. Breda, & V. Barnekow, Eds.). World Health Organization. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org |
| Notes: | 15-year-old adolescents |
| Definitions: | Prevalence of at least daily carbonated soft drink consumption (% of at least daily carbonated soft drink consumption) |
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) |
Prevalence of less than daily fruit consumption
Children, 2010-2014
| Survey type: | Measured |
| References: | 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 |
| Definitions: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalence of less than daily vegetable consumption
Children, 2010-2014
| Survey type: | Measured |
| Age: | 12-17 |
| References: | 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 |
| Definitions: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
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, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, oesophagus, adults ages 20+. ASR (World) per 100,000 |
Breast cancer
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, breast, females, ages 20+. ASR (World) per 100,000 |
Colorectal cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, colorectum, adults, ages 20+. ASR (World) per 100,000 |
Pancreatic cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, pancreas, adults, ages 20+. ASR (World) per 100,000 |
Gallbladder cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, gallbladder, adults, ages 20+. ASR (World) per 100,000 |
Kidney cancer
Men, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000 |
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, kidney, adults, ages 20+. ASR (World) per 100,000 |
Cancer of the uterus
Women, 2018
| Age: | 20+ |
| References: | Global Cancer Observatory, Cancer incidence rates http://gco.iarc.fr/ (last accessed 30th June 2020) |
| Definitions: | Estimated age-standardized incidence rates (World) in 2018, cervix uteri, females, ages 20+. ASR (World) 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 (%). |
