Evidence map›Paper›PMID 32401794›Full record

ArticlePloS one2020

The association between national income and adult obesity prevalence: Empirical insights into temporal patterns and moderators of the association using 40 years of data across 147 countries.

Debabrata Talukdar, Satheesh Seenivasan, Adrian J Cameron, Gary Sacks

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Wealth and weight revisited: A Bayesian model averaging approach to the Obesity Kuznets Curve.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  12. Bariatric surgery in the Armed Forces: Reshaping the SHAPE!Medical journal, Armed Forces India · 2025
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  16. Economic Disadvantage During Childhood, Obesity, and Diabetes Across Three Birth Cohorts of Older Mexicans.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Debabrata TalukdarCommunity of Global Health Equity and School of Management, State University of New York at Buffalo, Buffalo, New York, United States of America.ORCID 0000-0001-6616-7581
Satheesh SeenivasanDepartment of Marketing, Monash Business School, Monash University, Melbourne, Victoria, Australia.
Adrian J CameronGlobal Obesity Centre, Deakin University, Geelong, Victoria, Australia.
Gary SacksGlobal Obesity Centre, Deakin University, Geelong, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAt a country level, population obesity prevalence is often associated with economic affluence, reflecting a potential adverse outcome concomitant with economic growth. We estimated the pattern and strength of the empirically observed relationship between national income and adult obesity prevalence, and the moderating role of countries' macro-environments on this relationship.

methodsWe assembled data on national obesity prevalence, income and a range of variables that characterize macro-environments related to 147 countries from multiple international organizations and databases. We used a Bayesian hierarchical model to estimate the relationship (elasticities) between national income (using Gross Domestic Product Per Capita, GDPPC) and adult obesity prevalence, and the moderating effects of five different dimensions (globalization orientation, demographic characteristics, economic environment, labor market characteristics, and strength of health policies) of countries' macro-environments on the income elasticities. Using the latest (2019-2024) available national income growth projections from the International Monetary Fund, we forecast future global trends in obesity prevalence.

findingsOver the 40-years 1975-2014, adult obesity prevalence increased at a declining rate with GDPPC across the 147 countries. The mean income elasticity estimates were 1.23 (95% credible interval 1.04-1.42) for males and 1.01 (0.82-1.18) for females. The elasticities were positively associated with the extent of political globalization and negatively associated with urbanization and share of agriculture in the national GDP. Income based projections indicate that obesity prevalence would continue to grow at an average annual rate of 2.47% across the studied countries during 2019-2024.

conclusionsPopulation obesity prevalence exhibits a positive relationship with national income and there is no evidence that the relationship, while weakening, actually turns negative at higher income levels ("obesity Kuznets curve"). Based on current trends, global obesity prevalence will continue to increase during 2019-2024, with the rate of growth higher in low- and middle-income countries. As most people currently live in low- and middle-income countries with rising incomes, our findings underscore the urgent societal imperatives for effective policy initiatives, especially those that target the concomitant "nutrition transition" process with economic affluence, to break or at least further weaken the positive relationship of population obesity prevalence with national income.

Indexed as

IncomeAdultAgedDatabases, FactualFemaleForecastingHumansMaleMiddle AgedObesityPrevalence

Identifiers

PMID32401794
PMCPMC7219711

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.