Sri Lanka
- Overview
- Obesity prevalence
- Trends over time
- Population breakdowns
- Drivers
- Comorbidities
- Health systems
- Policies
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National obesity risk *6.5/10This 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 *5/11This 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
Comorbidities
Health systems
Obesity prevalence
Women, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 16806 |
| Area covered: | National |
| References: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
| 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: | 18-69 |
| Sample size: | 5188 |
| Area covered: | National |
| References: | STEPS Survey Sri lanka 2014, available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/614 (last accessed 16.10.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2013-2014
| Survey type: | Measured |
| Age: | 16-72 |
| Sample size: | 2469 |
| Area covered: | Regional |
| References: | Jayawardana NWIA, Jayalath WATA, Madhujith WMT, et al. Lifestyle factors associated with obesity in a cohort of males in the central province of Sri Lanka: a cross-sectional descriptive study. BMC Public Health. 2017;17:27. doi:10.1186/s12889-016-3963-3. |
| Notes: | Region of Kandy BMI cutoff values for Asians defined by WHO were used in the present study to categorize the participants as overweight (23–27.5 kg/m2 and obese (>27.5 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, 2009
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 2146 |
| Area covered: | National |
| References: | Jayatissa, R., Hossain, S.M., Gunawardana, S., Ranbanda, J.M., Gunathilaka, M. and De Silva, P.C., 2012. Prevalence and associations of overweight among adult women in Sri Lanka: a national survey. Sri Lanka Journal of Diabetes Endocrinology and Metabolism, 2(2). |
| Notes: | 15-49 years only |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2006-2007
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 12757 |
| Area covered: | National |
| References: | Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Adults, 2005-2006
| Survey type: | Measured |
| Age: | 18+ |
| Sample size: | 4532 |
| Area covered: | National |
| References: | Katulanda P, Jayawardena MAR, Sheriff MHR, Constantine GR and Matthews DR. (2010). Prevalence of overweight and obesity in Sri Lankan adults. Obesity Reviews, pp 1 - 6. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Children, 2008
| Survey type: | Self-reported |
| Age: | 13-15 |
| Sample size: | 2611 |
| Area covered: | National |
| References: | Global School-based Student Health Survey, Sri Lanka 2008 Fact sheet https://www.who.int/ncds/surveillance/gshs/Sri_Lanka_GSHS_FS_2008.pdf?ua=1 |
| Cutoffs: | WHO |
Children, 2003
| Survey type: | Measured |
| Age: | 10-15 |
| Sample size: | 6264 |
| Area covered: | National |
| References: | Jayatissa R and Ranbanda RM. (2006). Prevalence of challenging nutritional problems among adolescents in Sri Lanka. Food and Nutrition Bulletin, 27(2): 153 - 160. |
| Notes: | IOTF International Cut Off Please note these figures are for combined overweight & obesity (NOT Obesity) |
| Cutoffs: | IOTF |
% Adults living with obesity in Sri Lanka 2006-2016
| Survey type: | Measured |
| References: | 2006: Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. 2009: Jayatissa, R., Hossain, S.M., Gunawardana, S., Ranbanda, J.M., Gunathilaka, M. and De Silva, P.C., 2012. Prevalence and associations of overweight among adult women in Sri Lanka: a national survey. Sri Lanka Journal of Diabetes Endocrinology and Metabolism, 2(2). 2016: Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
| Notes: | Aged 15-49 |
| 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 in Sri Lanka 2006-2016
| References: | 2006: Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. 2009: Jayatissa, R., Hossain, S.M., Gunawardana, S., Ranbanda, J.M., Gunathilaka, M. and De Silva, P.C., 2012. Prevalence and associations of overweight among adult women in Sri Lanka: a national survey. Sri Lanka Journal of Diabetes Endocrinology and Metabolism, 2(2). 2016: Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
| Notes: | Aged 15-49 |
| 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
Women, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 16806 |
| Area covered: | National |
| References: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2013-2014
| Survey type: | Measured |
| Age: | 16-72 |
| Sample size: | 2469 |
| Area covered: | Subnational: Kandy |
| References: | Jayawardana NWIA, Jayalath WATA, Madhujith WMT, et al. Lifestyle factors associated with obesity in a cohort of males in the central province of Sri Lanka: a cross-sectional descriptive study. BMC Public Health. 2017;17:27. doi:10.1186/s12889-016-3963-3. |
| Notes: | BMI cutoff values for Asians defined by WHO were used in the present study to categorize the participants as overweight (23–27.5 kg/m2 and obese (>27.5 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, 2006-2007
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 12757 |
| Area covered: | National |
| References: | Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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
Women, 2016
| Survey type: | Measured |
| Sample size: | 16806 |
| Area covered: | National |
| References: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2013-2014
| Survey type: | Measured |
| Sample size: | 2469 |
| Area covered: | Sub-national: Kandy |
| References: | Jayawardana NWIA, Jayalath WATA, Madhujith WMT, et al. Lifestyle factors associated with obesity in a cohort of males in the central province of Sri Lanka: a cross-sectional descriptive study. BMC Public Health. 2017;17:27. doi:10.1186/s12889-016-3963-3. |
| Notes: | BMI cutoff values for Asians defined by WHO were used in the present study to categorise the participants overweight (23–27.5 kg/m2 and obese (>27.5 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 region
Women, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 16806 |
| Area covered: | National |
| References: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Women, 2006-2007
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 12757 |
| Area covered: | National |
| References: | Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. |
| Notes: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| 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
Women, 2016
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 16806 |
| Area covered: | National |
| References: | Department of Census and Statistics (DCS) and Ministry of Health, Nutrition and Indigenous Medicine 2017. Sri Lanka Demographic and Health Survey 2016 Sri Lanka. https://www.aidsdatahub.org/resource/sri-lanka-demographic-and-health-survey-2016 (Accessed 02.09.20) |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
Men, 2013-2014
| Survey type: | Measured |
| Age: | 16-72 |
| Sample size: | 2469 |
| Area covered: | Sub-national: Kandy |
| References: | Jayawardana NWIA, Jayalath WATA, Madhujith WMT, et al. Lifestyle factors associated with obesity in a cohort of males in the central province of Sri Lanka: a cross-sectional descriptive study. BMC Public Health. 2017;17:27. doi:10.1186/s12889-016-3963-3. |
| Notes: | Prevalence of obesity by income. BMI cutoff values for Asians defined by WHO were used in the present study to categorize the participants as overweight (23–27.5 kg/m2 and obese (>27.5 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, 2006-2007
| Survey type: | Measured |
| Age: | 15-49 |
| Sample size: | 12757 |
| Area covered: | National |
| References: | Department of Census and Statistics (DCS) and Ministry of Healthcare and Nutrition (MOH). 2009. Sri Lanka Demographic and Health Survey 2006-07. Colombo, Sri Lanka: DCS and MOH. |
| Notes: | Prevalence of overweight and obesity in females by wealth quintile Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m². | |
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) |
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, 2008-2015
| Survey type: | Measured |
| Age: | 12-17 |
| 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, 2008-2015
| 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 (%). |
Health systems
Economic classification: Lower Middle Income
Health systems summary
Sri Lanka’s public health sector has traditionally provided the bulk of healthcare in the country (despite health expenditure being evenly split between the public and private sector). This state-financed system provides free at point of service care for curative and preventative services, and is widely praised for recent improvements in health indicators such as maternal and infant mortality. However, despite the existence of this public coverage, out of pocket expenditure remains high, making up 38% of total health expenditure. The private sector in Sri Lanka is flourishing as people increasingly seek care privately due to the underfunded and stretched public system.
Like elsewhere, Sri Lanka is being challenged by an ageing population and the increasing burden of chronic and non-communicable diseases (that are now estimated to contribute to 75% of deaths). The health system to date has done well in providing near- universal coverage, but these new challenges threaten continued progress. In late 2019, the Sri Lankan prime minister announced government plans to establish a national health insurance scheme.
Indicators
| Where is the country’s government in the journey towards defining ‘Obesity as a disease’? | Some progress |
| Where is the country’s healthcare provider in the journey towards defining ‘Obesity as a disease’? | Some progress |
| Is there specialist training available dedicated to the training of health professionals to prevent, diagnose, treat and manage obesity? | No |
| Have any taxes or subsidies been put in place to protect/assist/inform the population around obesity? | Yes |
| Are there adequate numbers of trained health professionals in specialties relevant to obesity in urban areas? | Some progress |
| Are there adequate numbers of trained health professionals in specialties relevant to obesity in rural areas? | No |
| Are there any obesity-specific recommendations or guidelines published for adults? | Yes |
| Are there any obesity-specific recommendations or guidelines published for children? | Yes |
| In practice, how is obesity treatment largely funded? | Out of pocket |
Summary of stakeholder feedback
Stakeholders report that there is some recognition of obesity as a disease (especially by the Ministry of Health). Work underway to address obesity includes traffic-light food labelling, community-led health promotion and school-based programmes. All stakeholders felt that obesity could be better prevented by encouraging people to do more physical activity.
There is also a broad focus on non-communicable diseases (NCD). There is an NCD prevention clinic in every hospital and there is an NCD council chaired by the Minister of Health that reviews interventions. However, while BMI is routinely measured in Sri Lanka, it is said that it is not typical for obesity to be treated. When treatment is offered, it is often paid for by a mix of government, insurance and out of pocket expenditure - and only when the individual has comorbidities or complications.
Although there are no obesity treatment guidelines from any governmental organisations, the Sri Lankan College of Endocrinologists have published treatment guidelines for adults and children. Allegedly, most healthcare professionals are not aware of the existence of these guidelines.
Based on interviews/survey returns from 3 stakeholders
Last updated: June 2020
