• Overview
  • Obesity prevalence
  • Trends over time
  • Population breakdowns
  • Drivers
  • Comorbidities
  • Health systems
  • Policies
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National obesity risk *7.5/10This 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 *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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Population breakdowns

By education

By age

By region

By socio-economic group

Drivers

Insufficient activity

Soft drink consumption

Fruit consumption

Vegetable consumption

Fast food 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

Oesophageal cancer

Breast cancer

Colorectal cancer

Pancreatic cancer

Gallbladder cancer

Kidney cancer

Cancer of the uterus

Raised blood pressure

Raised cholesterol

Raised fasting blood glucose

Diabetes prevalence

Health systems

Health systems

Policies

Marketing

Tax/Subsidies on Food or Beverages

Obesity prevalence

Women, 2014

Survey type:Measured
Age:15-49
Sample size:23495
Area covered:National
References:Demographic Health Survey Peru 2014
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.
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Women, 2013

Survey type:Measured
Age:15-49
Sample size:21700
Area covered:National
References:DHS Peru 2013
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2012

Survey type:Measured
Age:15-49
Sample size:22866
Area covered:National
References:Demographic Health Survey Peru 2012
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Adults, 2012-2013

Survey type:Measured
Age:20+
Sample size:20535
Area covered:National
References:Pajuelo, Jaime & Torres, Harold & Rebatta, Fernando & Zamora, Rosa. (2019). Obesidad no morbida y morbida del adulto en el Perú, 1975 - 2013. Anales de la Facultad de Medicina. 80. 317-21. 10.15381/anales.803.16851.
Notes:NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 21.10.20)'
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2007-2008

Survey type:Measured
Age:15-49
Sample size:20192
Area covered:National
References:DHS 2007 - 2008
Notes:Other married women 15 to 49 years
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2000

Survey type:Measured
Age:15-49
Sample size:8372
References:Demographic Health Survey, Peru 2000
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Adults, 1998-2000

Survey type:Measured
Age:18-59
Sample size:2337
Area covered:National
References:Jacoby E, Goldstein J, Lopez A, Nunez E and Lopez T. (2003). Social class, family and life-style factors associated with overweight and obesity among adults in Peruvian cities. Reventative Medicine, 37: 396 - 405.
Notes:NB. Combined adult 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 19.10.20)'
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 1992

Survey type:Measured
Age:15-49
Sample size:5200
References:Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2013-2014

Survey type:Measured
Age:5-13
Sample size:2801
Area covered:National
References:Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 ¬ï https://doi.org/10.15446/rsap.V20n2.68082
Notes:WHO Cut off Used
Cutoffs:WHO
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Children, 2010

Survey type:Self-reported
Age:13-15
Sample size:2882
Area covered:National
References:Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/2010_GSHS_FS_Peru.pdf?ua=1 (last accessed 25.11.20)
Notes:WHO cutoffs.
Cutoffs:WHO
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Children, 2009

Survey type:Measured
Age:7-8
Sample size:1737
Area covered:National
References:Preston EC, Ariana P, Penny ME, Frost M, Plugge E. Prevalence of childhood overweight and obesity and associated factors in Peru. Rev Panam Salud Publica. 2015;38(6):472-8
Notes:Prevalence of overweight and obesity by Maternal Education. Prevalence of overweight and obesity was assessed using body mass index-for age Z-scores. The 2007 World Health Organization (WHO) international growth reference curves for children 5–19 years of age described by De Onis were used to compare children of the same age and gender. “Overweight” and “Obese” variables were defined as BMI-for-age Z-scores of ≥ 1 and ≥ 2, respectively.
Cutoffs:WHO
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Children, 2002

Survey type:Measured
Age:7-8
Sample size:710
References:Carrillo-Larco RM, Miranda JJ, Bernabe-Ortiz A. Wealth index and risk of childhood overweight and obesity: evidence from four prospective cohorts in Peru and Vietnam. Int J Public Health, 2015 Nov 24.
Notes:IOTF Cut-off
Cutoffs:IOTF
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Overweight/obesity by education

Women, 2014

Survey type:Measured
Age:15-49
Sample size:23497
Area covered:National
References:Demographic Health Survey 2014
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.
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Women, 2008

Survey type:Measured
Age:15-49
Sample size:22151
Area covered:National
References:Poterico JA, Stanojevic S, Ruiz P, Bernabe-Ortiz A, Miranda JJ. The Association between Socioeconomic Status and Obesity in Peruvian Women. Obesity (Silver Spring, Md). 2012;20(11):2283-2289. doi:10.1038/oby.2011.288.
Notes:Education level, based on the number of years of education attained, was categorized separately into quartiles for rural and urban areas, and merged into a single variable.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2013-2014

Survey type:Measured
Age:5-13
Sample size:2801
Area covered:National
References:Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 ¬ï https://doi.org/10.15446/rsap.V20n2.68082
Notes:WHO Cut Off Points Used Education based on Parental educational status
Cutoffs:WHO
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Children, 2009

Survey type:Measured
Age:7-8
Sample size:1737
Area covered:National
References:Preston EC, Ariana P, Penny ME, Frost M, Plugge E. Prevalence of childhood overweight and obesity and associated factors in Peru. Rev Panam Salud Publica. 2015;38(6):472-8
Notes:Prevalence of overweight and obesity by Maternal Education. Prevalence of overweight and obesity was assessed using body mass index-for age Z-scores. The 2007 World Health Organization (WHO) international growth reference curves for children 5–19 years of age described by De Onis were used to compare children of the same age and gender. “Overweight” and “Obese” variables were defined as BMI-for-age Z-scores of ≥ 1 and ≥ 2, respectively.
Cutoffs:WHO
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Overweight/obesity by age

Women, 2014

Survey type:Measured
Sample size:23497
Area covered:National
References:Demographic Health Survey 2014
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.
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Adults, 2012-2013

Survey type:Measured
Sample size:20535
Area covered:National
References:Pajuelo, Jaime & Torres, Harold & Rebatta, Fernando & Zamora, Rosa. (2019). Obesidad no morbida y morbida del adulto en el Perú, 1975 - 2013. Anales de la Facultad de Medicina. 80. 317-21. 10.15381/anales.803.16851.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
Download this graph Add to custom PDF

Children, 2013-2014

Survey type:Measured
Sample size:2801
Area covered:National
References:Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 ¬ï https://doi.org/10.15446/rsap.V20n2.68082
Notes:WHO Cut Off Points Used
Cutoffs:WHO
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Overweight/obesity by region

Women, 2014

Survey type:Measured
Age:15-49
Sample size:23497
Area covered:National
References:Demographic Health Survey 2014
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.
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Women, 2014

Survey type:Measured
Age:15-49
Sample size:23497
Area covered:National
References:Demographic Health Survey 2014
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.
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Adults, 2012-2013

Survey type:Measured
Age:20+
Sample size:20535
Area covered:National
References:Pajuelo, Jaime & Torres, Harold & Rebatta, Fernando & Zamora, Rosa. (2019). Obesidad no morbida y morbida del adulto en el Perú, 1975 - 2013. Anales de la Facultad de Medicina. 80. 317-21. 10.15381/anales.803.16851.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Women, 2008

Survey type:Measured
Age:15-49
Sample size:22151
Area covered:National
References:Poterico JA, Stanojevic S, Ruiz P, Bernabe-Ortiz A, Miranda JJ. The Association between Socioeconomic Status and Obesity in Peruvian Women. Obesity (Silver Spring, Md). 2012;20(11):2283-2289. doi:10.1038/oby.2011.288.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2013-2014

Survey type:Measured
Age:5-13
Sample size:2801
Area covered:National
References:Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 ¬ï https://doi.org/10.15446/rsap.V20n2.68082
Notes:WHO Cut Off Points Used
Cutoffs:WHO
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Children, 2009

Survey type:Measured
Age:7-8
Sample size:1737
Area covered:National
References:Preston EC, Ariana P, Penny ME, Frost M, Plugge E. Prevalence of childhood overweight and obesity and associated factors in Peru. Rev Panam Salud Publica. 2015;38(6):472-8
Notes:Prevalence of overweight and obesity by Maternal Education. Prevalence of overweight and obesity was assessed using body mass index-for age Z-scores. The 2007 World Health Organization (WHO) international growth reference curves for children 5–19 years of age described by De Onis were used to compare children of the same age and gender. “Overweight” and “Obese” variables were defined as BMI-for-age Z-scores of ≥ 1 and ≥ 2, respectively.
Cutoffs:WHO
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Overweight/obesity by socio-economic group

Women, 2014

Survey type:Measured
Age:15-49
Sample size:23497
Area covered:National
References:Demographic Health Survey 2014
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.
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Women, 2008

Survey type:Measured
Age:15-49
Sample size:22151
Area covered:National
References:Poterico JA, Stanojevic S, Ruiz P, Bernabe-Ortiz A, Miranda JJ. The Association between Socioeconomic Status and Obesity in Peruvian Women. Obesity (Silver Spring, Md). 2012;20(11):2283-2289. doi:10.1038/oby.2011.288.
Notes:The possession assets index variable was constructed by the INEI using factor analysis. This variable was subsequently categorized into quartiles separately for rural and urban areas, and then combined into a single variable.
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².
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Children, 2013-2014

Survey type:Measured
Age:5-13
Sample size:2801
Area covered:National
References:Carolina Tarqui-Mamani, Doris Alvarez-Dongo, Paula Espinoza-Oriundo. Prevalence and factors associated with overweight and obesity in Peruvian primary school children. Rev. salud pública 20 (2) Mar-Apr 2018 ¬ï https://doi.org/10.15446/rsap.V20n2.68082
Notes:WHO Cut Off Points Used
Cutoffs:WHO
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Children, 2009

Survey type:Measured
Age:7-8
Sample size:1737
Area covered:National
References:Preston EC, Ariana P, Penny ME, Frost M, Plugge E. Prevalence of childhood overweight and obesity and associated factors in Peru. Rev Panam Salud Publica. 2015;38(6):472-8
Notes:Prevalence of overweight and obesity by Maternal Education. Prevalence of overweight and obesity was assessed using body mass index-for age Z-scores. The 2007 World Health Organization (WHO) international growth reference curves for children 5–19 years of age described by De Onis were used to compare children of the same age and gender. “Overweight” and “Obese” variables were defined as BMI-for-age Z-scores of ≥ 1 and ≥ 2, respectively.
Cutoffs:WHO
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Insufficient physical activity

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)
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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)
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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)
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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)
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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)
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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)
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Average daily frequency of carbonated soft drink consumption

Children, 2009-2015

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
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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)
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Prevalence of less than daily fruit consumption

Children, 2009-2015

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)
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Prevalence of less than daily vegetable consumption

Children, 2009-2015

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)
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Average weekly frequency of fast food consumption

Children, 2009-2015

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
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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)
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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)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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).
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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).
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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).
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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).
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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).
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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).
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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).
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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).
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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 (%).
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Health systems

Economic classification: Upper Middle Income

Health systems summary

Peru’s health system is decentralised and complex, with healthcare provided by 5 separate entities (4 of which are public). Most of the population (60%) is served by the Ministry of Health (MINSA), but other providers include EsSalud (30%), the Armed Forces, the National Police and the private sector. MINSA provides the bulk of primary healthcare services and is mostly funded with tax revenues MINSA is free for the most vulnerable Peruvian citizens. EsSalud is a form of social insurance for workers where both the employers and employees contribute. In 2009, a universal health insurance law passed that made coverage by health insurance mandatory. As a result, those covered by MINSA’s scheme has been expanded to cover more Peruvians, and now 87% of the population have some form of insurance. Universal health coverage is expected to be reached by 2021.

One of the greatest challenges faced by the Peruvian health system is the persistent urban-rural disparities in access to healthcare services and professionals. The highly fragmented system results in an inefficient use of resources.

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?No
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?Not known
Are there any obesity-specific recommendations or guidelines published for children?Yes
In practice, how is obesity treatment largely funded?Out of pocket

Perceived barriers to treatment

  • Lack of financial investment and funding for coverage
  • Poor health literacy and behaviour
  • Social determinants of health
  • Lack of training
  • Lack of treatment facilities
  • Fragmented and/or failing health system
  • Lack of multi-disciplinary teams
  • Lack of evidence, monitoring and research
  • Poor availability of pharmaceutical treatments

Summary of stakeholder feedback

There is limited government action around obesity, and it is not yet considered to be a disease. Stakeholders highlighted that there is notable inaction around prevention, with little economic and workforce resources dedicated to this. An exception to this is the recent introduction of front of package labelling.

Obesity is not considered to be a disease among healthcare providers either. Obesity treatment is only offered when comorbidities are present and/or the obesity is severe. When obesity treatment is provided, it is generally paid for out of pocket at great expense to the individual. Multi-disciplinary care is said to be rare. Those living in rural areas have great difficulty accessing the health system in general, and rarely receive obesity treatment as infectious diseases are a greater priority. People tend to leave the health system because of long waiting lists, a lack of obesity specialists to provide treatment and a failure to recognise that obesity needs to be treated.

There are inadequate numbers of obesity professionals in both urban and rural areas and there is limited to no specialist obesity training. Where there is training it seems to be only available for professionals such as endocrinologists, nutritionists and surgeons and it is general obesity training, not specialist.

Based on interviews/survey returns from 4 stakeholders

Last updated: June 2020

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Policies, Interventions and Actions

Supreme Decree No. 012-2018-SA Law for the promotion of healthy eating for children and adolescents

Supreme Decree No. 012-2018-SA Government approve the Manual of Advertising Warnings within the framework of the provisions of Law No. 30021, Law for the promotion of healthy eating for children and adolescents, and its Regulations approved by Supreme Decree No. 017-2017-SA

Categories:Taxation/Subsidies on Food or Beverages or law relating to public health
Categories (partial):Evidence of Marketing Guidelines/Policy
Year(s):2019 (ongoing)
Target age group:Children
Organisation:Government of Peru
Find out more:www.gob.pe

Decreto supremo No.007-2015-SA

Peru President signs Executive Decree defining nutrient profile of processed foods and beverages that should be used to implement a 2-yr old Food Law. Pages: 859-861

Categories:Taxation/Subsidies on Food or Beverages or law relating to public health
Year(s):2015 (ongoing)
Target age group:Adults and children
Organisation:Ministry of Health
Find out more:larepublica.pe
Linked document:Download linked document

Health Directive No. 063 "Promotion of Healthy Kiosks and School Canteens

Specific provisions for the management, the process of health education in healthy eating, communication and dissemination of kiosks and school canteens at the national, regional and local levels

Categories:Taxation/Subsidies on Food or Beverages or law relating to public health
Year(s):2015 (ongoing)
Target age group:Children
Organisation:Government
Linked document:Download linked document

Promoting Healthy Food for Children Act Law 30021

Law that encourages healthy eating in children

Categories:Taxation/Subsidies on Food or Beverages or law relating to public health
Year(s):2013 (ongoing)
Target age group:Children
Organisation:Government
Find out more:elperuano.pe

Sugar Tax in Peru

25% tax on sugar beverages with > 6g sugar per 100ml

Categories:Taxation/Subsidies on Food or Beverages or law relating to public health
Target age group:Adults and children
Organisation:Ministry of Health, Peru
Find out more:www.gob.pe
Linked document:Download linked document
References:Supreme Decree No. 091-2018-EF, Ministry of Health Peru, see link below

No actions could be found for the above criteria.

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