ArticlePloS one2014
National economic development and disparities in body mass index: a cross-sectional study of data from 38 countries.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Overweight and Obesity in Adolescents in Kyrgyzstan: The Impact of Lifestyle, Nutrition, and Physical Activity: A Narrative Review.Iranian journal of public health · 2025Review
- Neighbourhoods' social, built, and natural environment characteristics and body mass index in Latin American cities.International journal of epidemiology · 2025Article
- Examining obesity kuznets curve in the United States from the perspective of globalization and biocapacity.Heliyon · 2023Article
- Spatial-temporal trends in global childhood overweight and obesity from 1975 to 2030: a weight mean center and projection analysis of 191 countries.Globalization and health · 2023Article
- Double Burden of Malnutrition: A Population Level Comparative Cross-Sectional Study across Three Sub-Saharan African Countries-Malawi, Namibia and Zimbabwe.International journal of environmental research and public health · 2023Article
- Prevalence and determinants of obesity and abdominal obesity among rural workers in Southeastern Brazil.PloS one · 2022Article
- Obesity Kuznets curve hypothesis and global warming: a robust estimation under cross-section dependence.Environmental science and pollution research international · 2021Article
- Fertility is a key predictor of the double burden of malnutrition among women of child-bearing age in sub-Saharan Africa.Journal of global health · 2020Review
- Double Burden of Malnutrition and Nutrition Transition in Asia: A Case Study of 4 Selected Countries with Different Socioeconomic Development.Advances in nutrition (Bethesda, Md.) · 2020Article
- Spatiotemporal Variation of the Association between Urbanicity and Incident Hypertension among Chinese Adults.International journal of environmental research and public health · 2020Article
- Article
- The effect of economic growth on obesity for the most obese countries: new evidence from the obesity Kuznets curve.The European journal of health economics : HEPAC : health economics in prevention and care · 2019Article
- Economic globalization, nutrition and health: a review of quantitative evidence.Globalization and health · 2019Review
- Effect of national wealth on BMI: An analysis of 206,266 individuals in 70 low-, middle- and high-income countries.PloS one · 2017Article
- Minimum Wage and Overweight and Obesity in Adult Women: A Multilevel Analysis of Low and Middle Income Countries.PloS one · 2016Article
- Abdominal Obesity is Associated with Physical Activity Index in Indonesian Middle-Aged Adult Rural Population: A Cross-Sectional Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundIncreases in body mass index (BMI) and the prevalence of overweight in low- and middle income countries (LMICs) are often ascribed to changes in global trade patterns or increases in national income. These changes are likely to affect populations within LMICs differently based on their place of residence or socioeconomic status (SES).
objectiveUsing nationally representative survey data from 38 countries and national economic indicators from the World Bank and other international organizations, we estimated ecological and multilevel models to assess the association between national levels of gross domestic product (GDP), foreign direct investment (FDI), and mean tariffs and BMI.
designWe used linear regression to estimate the ecological association between average annual change in economic indicators and BMI, and multilevel linear or ordered multinomial models to estimate associations between national economic indicators and individual BMI or over- and underweight. We also included cross-level interaction terms to highlight differences in the association of BMI with national economic indicators by type of residence or socioeconomic status (SES).
resultsThere was a positive but non-significant association of GDP and mean BMI. This positive association of GDP and BMI was greater among rural residents and the poor. There were no significant ecological associations between measures of trade openness and mean BMI, but FDI was positively associated with BMI among the poorest respondents and in rural areas and tariff levels were negatively associated with BMI among poor and rural respondents.
conclusionMeasures of national income and trade openness have different associations with the BMI across populations within developing countries. These divergent findings underscore the complexity of the effects of development on health and the importance of considering how the health effects of "globalizing" economic and cultural trends are modified by individual-level wealth and residence.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.