Hungary
- Overview
- Obesity prevalence
- Population breakdowns
- Drivers
- Comorbidities
- Actions
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National obesity risk *8/10This 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 *8/11This 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
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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
Sugar consumption
Soft drink consumption
Confectionery consumption
Sweet/savoury snack 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.Comorbidities
Obesity prevalence
Adults, 2017
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 2017 EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2014
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2014-2015
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 43287 |
| Area covered: | National |
| References: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Notes: | Age standardised by WOF using World Population |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2012-2013
| Survey type: | Measured |
| Age: | 35-59 |
| Sample size: | 40331 |
| Area covered: | National |
| References: | Rurik I, Torzsa P, Szidor J, et al. A public health threat in Hungary: obesity, 2013. BMC Public Health. 2014;14:798. doi:10.1186/1471-2458-14-798. |
| Notes: | WHO-established BMI categories used |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1992-1994
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 2559 |
| References: | Biro G, Antal M, Zajkas G. Nutrition survey of the Hungarian population in a randomized trial between 1992-1994. Eur J Clin Nutr. 1996 Apr;50(4):201-8. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1985-1988
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 16641 |
| References: | Zajkas G, Biro G. Some data on the prevalence of obesity in Hungarian adult population between 1985-88 and 1992-94. Z Ernahrungswiss 1998;37(Suppl 1):S134-135 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2016
| Survey type: | Measured |
| Age: | 7 |
| Sample size: | 5332 |
| Area covered: | National |
| References: | Erdei et al. Substantial variation across geographicregions in the obesity prevalence among6–8 years old Hungarian children (COSIHungary 2016) BMC Public Health (2018) 18:611 https://doi.org/10.1186/s12889-018-5530-6 |
| Notes: | IOTF International Cut Off Points |
| Cutoffs: | IOTF |
Children, 2010
| Survey type: | Measured |
| Age: | 10-12 |
| Sample size: | 1020 |
| Area covered: | National |
| References: | Brug J, van Stralen MM, te Velde SJ, Chinapaw MJM, De Bourdeaudhuij I, et al. (2012) Differences in Weight Status and Energy-Balance Related Behaviors among Schoolchildren across Europe: The ENERGY-Project. PLoS ONE 7(4): e34742. doi:10.1371/journal.pone.0034742 |
| Notes: | IOTF International Cut Off ENERGY |
| Cutoffs: | IOTF |
Children, 2009-2010
| Survey type: | Measured |
| Age: | 7 |
| Sample size: | 1231 |
| Area covered: | National |
| References: | Spinelli et al (2019). 'Childhood Severe Obesity in Europe', Obes Facts.12, pp. 244–258. (Data from COSI round 1-3) |
| Notes: | NOTE - this data is from COSI round II (2009/10) IOTF cut-offs used. |
| Cutoffs: | IOTF |
Children, 2005
| Survey type: | Measured |
| Age: | 7-14 |
| Sample size: | 1928 |
| Area covered: | National |
| References: | Antal M, Peter S, Biro L, Nagy K, Regoly-Merei A, Arago G, Szabo C, Martos E. Prevalence of underwieght, overweight and obesity on the basis of body mass index and body fat percentage in Hungarian schoolchildren: Represetnative survey in Metropolitan Elementary Schools. annals of Nutrition and Metabolism 2009;54:171-176 |
| Notes: | IOTF International Cut Off |
| Cutoffs: | IOTF |
Overweight/obesity by age and education
Men, 2017
| Survey type: | Self-reported |
| Area covered: | National |
| References: | 2017 - Education EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2017
| Survey type: | Self-reported |
| Area covered: | National |
| References: | 2017 - Education EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2014
| Survey type: | Self-reported |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Self-reported |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| 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 education
Men, 2014
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Notes: | Less than primary, primary and lower secondary education (levels 0-2) Upper secondary and post-secondary non-tertiary education (levels 3 and 4) Tertiary education (levels 5-8) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Notes: | Less than primary, primary and lower secondary education (levels 0-2) Upper secondary and post-secondary non-tertiary education (levels 3 and 4) Tertiary education (levels 5-8) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2014-2015
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 43,287 |
| Area covered: | National |
| References: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Notes: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014-2015
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 43,287 |
| Area covered: | National |
| References: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Notes: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2012-2013
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 40331 |
| Area covered: | National |
| References: | Rurik I, Torzsa P, Szidor J, et al. A public health threat in Hungary: obesity, 2013. BMC Public Health. 2014;14:798. doi:10.1186/1471-2458-14-798. |
| Notes: | The participants’ highest achieved level of education: not completed the 8-year elementary school (under), completed only elementary school (primary), graduated in secondary school and/or skilled worker qualification (secondary), having university or college degree (higher). |
| 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: | 18+ |
| Sample size: | 40331 |
| Area covered: | National |
| References: | Rurik I, Torzsa P, Szidor J, et al. A public health threat in Hungary: obesity, 2013. BMC Public Health. 2014;14:798. doi:10.1186/1471-2458-14-798. |
| Notes: | The participants’ highest achieved level of education: not completed the 8-year elementary school (under), completed only elementary school (primary), graduated in secondary school and/or skilled worker qualification (secondary), having university or college degree (higher). |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2008
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | EUROSTAT Database http://ec.europa.eu/eurostat/web/health/health-status-determinants/data/database# (last accessed 17th July 2015) |
| Notes: | Definitions are: levels 0-2 = pre-primary, primary and lower secondary education levels 3-4 = upper secondary and post-secondary non-tertiary education levels 5-6 = first and second stage of tertiary education |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2008
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | EUROSTAT Database http://ec.europa.eu/eurostat/web/health/health-status-determinants/data/database# (last accessed 17th July 2015) |
| Notes: | Definitions are: levels 0-2 = pre-primary, primary and lower secondary education levels 3-4 = upper secondary and post-secondary non-tertiary education levels 5-6 = first and second stage of tertiary education |
| 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: | 10-12 |
| Sample size: | 1020 |
| Area covered: | National |
| References: | Brug J, van Stralen MM, te Velde SJ et al. Differences in Weight Status and Energy-Balance Related Behaviors among Schoolchildren across Europe: The ENERGY-Project. PLoS ONE 2012;7 (4) e34742 |
| Cutoffs: | IOTF |
Children, 2007-2008
| Survey type: | Measured |
| Age: | 2-9 |
| Sample size: | 3159 |
| Area covered: | National |
| References: | Ahrens W, Pigeot I, Pohlabeln H et al. Prevalence of overweight and obesity in European children below the age of 10. IJO 2014;38:S99-S107 |
| Cutoffs: | IOTF |
Overweight/obesity by age
Adults, 2017
| Survey type: | Self-reported |
| References: | 2017 - EUROSTAT Database http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_hch10&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2014-2015
| Survey type: | Measured |
| Sample size: | 43,287 |
| Area covered: | National |
| References: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Notes: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2003-2004
| Survey type: | Self-reported |
| Sample size: | 1179 |
| Area covered: | National |
| References: | WHO Infobase. Original reference: Rodler I, Bíró L, Greiner E, Zajkás G, Szórád I, Varga A, Domonkos A, Ágoston H, Balázs A, Mozsáry E, Vitrai J, Hermann D, Boros J, Németh R, Kéki Z. Dieatary survey in Hungary, 2003-2004 Eredeti Közlemények, 2005, 146:1781-1789, Additional data from personal communication: Dr Martos Éva email: martoseva@oeti.antsz.hu |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1992-1994
| Survey type: | Measured |
| Sample size: | 2559 |
| Area covered: | Unclear |
| References: | Biro G. Cardiovascular Risk factors distribution in Hungarian Adults. Acta Cardiologica Vol LI 1996 113-128 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 1985-1988
| Survey type: | Measured |
| Sample size: | 15509 |
| Area covered: | National |
| References: | First Hungarian Representative Nutrition Survey (1985-88). RESULTS Vol 2. Budapest 1993 |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2016
| Sample size: | 5332 |
| Area covered: | National |
| References: | Erdei et al. Substantial variation across geographicregions in the obesity prevalence among 6–8 years old Hungarian children (COSIHungary 2016) BMC Public Health (2018) 18:611 https://doi.org/10.1186/s12889-018-5530-6 |
| Notes: | IOTF International Cut Off Points |
| Cutoffs: | IOTF |
Overweight/obesity by region
Men, 2014-2015
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 43,287 |
| Area covered: | National |
| References: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Notes: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014-2015
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 43,287 |
| Area covered: | National |
| References: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Notes: | Rurik. I et al. (2016). Obese Hungary. The trend of overweight and obesity and Prevalence in Hungary, 2015. Orvosi Hetilap. 157(31), pp. 1248-55. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2016
| Age: | 7-9 |
| Sample size: | 5332 |
| Area covered: | National |
| References: | Erdei et al. Substantial variation across geographicregions in the obesity prevalence among 6–8 years old Hungarian children (COSIHungary 2016) BMC Public Health (2018) 18:611 https://doi.org/10.1186/s12889-018-5530-6 |
| Notes: | IOTF International Cut Off Points |
| Cutoffs: | IOTF |
Overweight/obesity by age and region
Men, 2014
| Survey type: | Self-reported |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Self-reported |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| 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 and socio-economic group
Adults, 2014
| Survey type: | Self-reported |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2014
| Survey type: | Self-reported |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Self-reported |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| 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 socio-economic group
Men, 2014
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Notes: | 1st Quintile (lowest income), 5th Quintile (highest income) Please note where data = zero, there were insufficient data. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2014
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | 2014 Eurostat Database:http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=hlth_ehis_bm1e&lang=en (last accessed 25.08.20) |
| Notes: | 1st Quintile (lowest income), 5th Quintile (highest income) Please note where data = zero, there were insufficient data. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2008
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | EUROSTAT Database http://ec.europa.eu/eurostat/web/health/health-status-determinants/data/database# (last accessed 17th July 2015) |
| Notes: | SES assessed by annual income. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2008
| Survey type: | Self-reported |
| Age: | 18+ |
| Area covered: | National |
| References: | EUROSTAT Database http://ec.europa.eu/eurostat/web/health/health-status-determinants/data/database# (last accessed 17th July 2015) |
| Notes: | SES assessed by annual income. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2007-2008
| Survey type: | Measured |
| Age: | 2-9 |
| Sample size: | 3159 |
| Area covered: | National |
| References: | Ahrens W, Pigeot I, Pohlabeln H et al. Prevalence of overweight and obesity in European children below the age of 10. IJO 2014;38:S99-S107 |
| 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 |
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) |
Sugar consumption
Adults, 2016
| References: | Source: Euromonitor International |
| Definitions: | Sugar consumption (Number of 500g sugar portions/person/month) |
Estimated per-capita sugar sweetened beverages intake
Adults, 2016
| References: | Source: Euromonitor International |
Prevalence of at least daily carbonated soft drink consumption
Children, 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) |
Prevalence of confectionery consumption
Adults, 2016
| References: | Source: Euromonitor International |
| Definitions: | Prevalence of confectionery consumption (Number of 50g confectionery portions/person/month) |
Prevalence of sweet/savoury snack consumption
Adults, 2016
| References: | Source: Euromonitor International |
| Definitions: | Prevalence of sweet/savoury snack consumption (Number of 35g sweet/savoury snack portions/person/month) |
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, 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, 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, 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 (%). |
