ArticlePloS one2017
Effect of national wealth on BMI: An analysis of 206,266 individuals in 70 low-, middle- and high-income countries.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Interaction between the place of residence and wealth on the risk of overweight and obesity in Bangladeshi women.PloS one · 2020Trial
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- The Prevalence and Associated Factors of Underweight, Overweight and Obesity Among Somali Women: Evidence from Somali Health and Demographic Survey 2020.International journal of women's health · 2026Article
- Regional differences in the disease burden and attributable risk factors of female cancers.Scientific reports · 2025Article
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- Sustained underweight in rural areas and emergence of overweight in urban Ethiopian women: a multivariate analysis of EDHS data 2000-2016.Scientific reports · 2024Article
- Global trends and forecasts of breast cancer incidence and deaths.Scientific data · 2023Article
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- How does body mass index impact self-perceived health? A pan-European analysis of the European Health Interview Survey Wave 2.BMJ nutrition, prevention & health · 2022Article
- Psychosocial and energetic factors on human female pubertal timing: a systematized review.Evolutionary human sciences · 2022Review
- Anaemia among mother-father-child pairs in India: examining co-existence of triple burden of anaemia in a family.BMC public health · 2021Article
- Urban-rural differences in overweight and obesity among 25-64 years old Myanmar residents: a cross-sectional, nationwide survey.BMJ open · 2021Article
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- Epidemiology of non-alcoholic and alcoholic fatty liver diseases.Translational gastroenterology and hepatology · 2020Review
- Global burden of breast cancer and attributable risk factors in 195 countries and territories, from 1990 to 2017: results from the Global Burden of Disease Study 2017.Journal of hematology & oncology · 2019Article
- Overweight in Indonesia: an observational study of trends and risk factors among adults and children.BMJ open · 2019Observational
- Effect of national culture on BMI: a multilevel analysis of 53 countries.BMC public health · 2019Article
- The obesity transition: stages of the global epidemic.The lancet. Diabetes & endocrinology · 2019Review
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study explores the relationship between BMI and national-wealth and the cross-level interaction effect of national-wealth and individual household-wealth using multilevel analysis.
methodsData from the World Health Survey conducted in 2002-2004, across 70 low-, middle- and high-income countries was used. Participants aged 18 years and over were selected using multistage, stratified cluster sampling. BMI was used as outcome variable. The potential determinants of individual-level BMI were participants' sex, age, marital-status, education, occupation, household-wealth and location(rural/urban) at the individual-level. The country-level factors used were average national income (GNI-PPP) and income inequality (Gini-index). A two-level random-intercepts and fixed-slopes model structure with individuals nested within countries was fitted, treating BMI as a continuous outcome.
resultsThe weighted mean BMI and standard-error of the 206,266 people from 70-countries was 23.90 (4.84). All the low-income countries were below the 25.0 mean BMI level and most of the high-income countries were above. All wealthier quintiles of household-wealth had higher scores in BMI than lowest quintile. Each USD10000 increase in GNI-PPP was associated with a 0.4 unit increase in BMI. The Gini-index was not associated with BMI. All these variables explained 28.1% of country-level, 4.9% of individual-level and 7.7% of total variance in BMI. The cross-level interaction effect between GNI-PPP and household-wealth was significant. BMI increased as the GNI-PPP increased in first four quintiles of household-wealth. However, the BMI of the wealthiest people decreased as the GNI-PPP increased.
conclusionBoth individual-level and country-level factors made an independent contribution to the BMI of the people. Household-wealth and national-income had significant interaction effects.
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