• Overview
  • Obesity prevalence
  • Trends over time
  • Population breakdowns
  • Drivers
  • Comorbidities
  • Health systems
  • Actions
Loading data – please wait …

Obesity prevalence

Adults, 2018

Survey type:Measured
Age:18+
Sample size:16577
Area covered:National
References:4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
Notes:Self report data also available for trends and other classifications
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

Adults, 2018

Survey type:Self-reported
Age:18+
References:1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey
Notes:Subset of measured data available in 2018. 32.4% Obesity
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

Adults, 2013

Survey type:Self-reported
Age:18+
Sample size:32365
Area covered:National
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

Adults, 2013

Survey type:Self-reported
Age:18+
References:1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey
Notes:Subset of measured data available in 2018. 32.4% Obesity
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:18-70
Sample size:1194
Area covered:Regional
References:Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580.
Notes:Subnational (Rosario)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

Adults, 2009

Survey type:Self-reported
Age:18+
References:1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey
Notes:Subset of measured data available in 2018. 32.4% Obesity
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

Survey type:Self-reported
Age:18+
References:1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey
Notes:Subset of measured data available in 2018. 32.4% Obesity
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

Survey type:Measured
Age:18-65
Sample size:1100
Area covered:Sub National
References:Virgolini M, & Ferrante D. Validación de la Herramienta de la OPS para vigilancia de ENT en Argentina 2003. Ministerio de Salud y Ambiente de la Nación. WHO Report. (unpublished work).
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

Adults, 1997

Survey type:Measured
Age:20-79
Sample size:Not specified
References:Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196. Personal Communication by Prof. Rafael Figueredo Grijalba
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

Children, 2012

Survey type:Self-reported
Age:13-15
References:Global School-based Student Health Survey (GSHS), available at https://www.cdc.gov/gshs/countries/index.htm (last accessed 28.04.20)
Notes:WHO cutoffs.
Cutoffs:WHO

Children, 2005

Survey type:Measured
Age:10
Sample size:1693
Area covered:Urban
References:Kovalskys I, Rausch Herscovici C, De Gregorio MJ. Nutritional status of school-aged children of Buenos Aires, Argentina: data using three references.J Public Health (Oxf). 2011 Sep;33(3):403-11. doi: 10.1093/pubmed/fdq079. Epub 2010 Oct 12.
Notes:IOTF International Cut Off Points Children Aged 11 years also available in the paper
Cutoffs:IOTF

Overweight/obesity by education

Adults, 2018

Survey type:Measured
Age:18+
Sample size:16577
Area covered:National
References:4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

Men, 2012-2013

Survey type:Measured
Sample size:1194
Area covered:Subnational (Rosario)
References:Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580.
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
Sample size:1194
Area covered:Subnational (Rosario)
References:Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580.
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

Survey type:Self-reported
Age:18+
Sample size:41392
Area covered:National
References:"De Maio FG, Linetzky B, Virgolini M. An average/deprivation/inequality (ADI) analysis of chronic disease outcomes and risk factors in Argentina. Popul Health Metr. 2009 Jun 8;7:8. doi: 10.1186/1478-7954-7-8."
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

Overweight/obesity by age

Adults, 2018

Survey type:Measured
Sample size:16577
Area covered:National
References:4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
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

Adults, 2018

Survey type:Measured
Age:18+
Sample size:16577
Area covered:National
References:4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20)
Unless otherwise noted, overweight refers to a BMI between 25kg and 29.9kg/m², obesity refers to a BMI greater than 30kg/m².

Adults, 2005-2012

Survey type:Measured
Age:18+
Sample size:4328
Area covered:Córdoba (the capital city of the state of Córdoba in the centre of Argentina)
References:Aballay LR, Osella AR, De La Quintana AG, and Diaz MP. Nutritional profile and obesity: results from a random sample population based study in Córdoba, Argentina. Eur J Nutr DOI 10.1007/s00394-015-0887-0
Notes:Socio-economic status (SES) was built as a composite indicator following the Argentine Marketing Association’s guidelines, which include four domains: educational level, job, housing, and amenities.
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, 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)

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

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, 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)

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)

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

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, 2014-2019

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, 2014-2019

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: Upper Middle Income

Health systems summary

The Argentinian health care system is set up to provide affordable health care regardless of an individual’s personal circumstances, but it is considered to be very fragmented. It is composed of three strands: the public sector available to all and paid for through taxes, Obras Sociales which is compulsory for all workers of the formal economy and the private sector for those with private health insurance. The Argentinian health system is therefore financially sustained by a combination of taxes, payroll contributions, and out-of-pocket contributions. The private sector accounts for 30% of total health expenditure, of which nearly 60% is from out-of-pocket expenditure.

It is thought that the different schemes in Argentina generally cover the same treatments but the difference lies in the quality of care. For the public sector, individuals must meet very strict criteria to be eligible for free care, but then you are still subject to long waiting lists. One stakeholder noted that the economic crisis had presented a challenge to the health system.

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
In practice, how is obesity treatment largely funded?Insurance
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?Partial
Are there adequate numbers of trained health professionals in specialties relevant to obesity in urban areas?Partial
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

Perceived barriers to treatment

  • Lack of political will and interest, action
  • Availability and cost of healthy and unhealthy food
  • Lack of financial investment by government and/or health system
  • Economic crisis
  • Fragmented or failing health system
  • Lack of treatment facilities and/or long waiting list
  • Poor adherence to or fear of treatment
  • Obesity considered aesthetic or sign of wealth
  • Obesity not recognised as a disease

Summary of stakeholder feedback

The Argentinian health system was described as “fragmented”, made up of different subsystems that worked in different ways. Stakeholders felt that despite there being an “obesity law” in place, neither the government nor the health providers wholly recognised obesity as a disease. Government investment into obesity was considered to be low, and there was noted to be more resources dedicated to obesity treatment in the private sector.

There was a lack of consensus on the BMI level that people tended to be picked up by the system - perhaps suggesting inconsistency across the country and different health systems. There was, however, agreement that those that lived in rural areas struggled to access care. For those who could access care, they seemed to enter the system through primary or hospital care (and sometimes private institutes). Different reasons were given for people leaving the system, including cost, treatment ‘failure’, lack of follow-up or motivation and lack of referrals.

There is considered to be little to no specialist obesity training, but there seems to be limited training available for specific professionals such as nutritionists.

Stakeholders noted that there was a non-communicable disease strategy that mentioned obesity. The effectiveness of the strategy and the extent of implementation was, however, questioned. It was also noted that there are obesity-specific recommendations and guidelines e.g. clinical practice guidelines for diagnosis and treatment.

Overall, stakeholders felt that the obesity agenda in Argentina needed better leadership at a national level along with more financial support. Stakeholders did recognise, however, that there was several national programmes and initiatives attempting to address obesity.

Based on interviews/survey returns from 7 stakeholders

Last updated: June 2020

Download this information as a PDF

Actions

We are currently finalising our data for this section. It will be available from late 2020.

Loading