Trial reportPloS one2021
Socioeconomic inequalities in abdominal obesity among Peruvian adults.
Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Abdominal obesity prevalence in Latin America: a systematic review and meta-analysis comparing ATP III and IDF criteria.Frontiers in endocrinology · 2025Pooled it
- Population trends in nutritional status and socioeconomic divergence in extreme obesity in Peru: geospatial dynamics and intergenerational risk.Obesity pillars · 2026Article
- Global, regional, and national burden of colorectal cancer attributable to central obesity: a population attributable fraction analysis.BMC medicine · 2026Article
- Education-related inequality in overweight and obesity among Mongolian adults.PLOS global public health · 2025Article
- Association between abdominal obesity and hypertension: analysis of the Peruvian Demographic Family Health Survey (2018-2023).Cadernos de saude publica · 2025Article
- Association between abdominal obesity and depressive symptoms in Peruvian women aged 18-49 years: a sub-analysis of the Demographic and Family Health Survey 2018-2019.Public health nutrition · 2024Observational
- Measuring Socioeconomic Inequalities in HIV Testing During Antenatal Care: A Peruvian National Survey.Journal of community health · 2024Article
- Socioeconomic inequality in teenage pregnancy in Papua New Guinea: a decomposition analysis.BMC public health · 2023Article
- Factors Associated with Normal-Weight Abdominal Obesity Phenotype in a Representative Sample of the Peruvian Population: A 4-Year Pooled Cross-Sectional Study.Journal of clinical medicine · 2023Article
- Intrauterine and Extrauterine Environmental PMToxics · 2022Article
- What Drives Abdominal Obesity in Peru? A Multilevel Analysis Approach Using a Nationally Representative Survey.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAbdominal obesity (AO) has become a public health issue due to its impact on health, society and the economy. The relationship between socioeconomic disparities and the prevalence of AO has yet to be studied in Peru. Thus, our aim was to analyze the socioeconomic inequalities in AO distribution defined using the International Diabetes Federation (IDF) cut-off points in Peruvian adults in 2018-2019.
methodsThis was a cross-sectional study using data from the 2018-2019 Demographic and Family Health Survey (ENDES) of Peru. We analyzed a representative sample of 62,138 adults over 18 years of age of both sexes from urban and rural areas. Subjects were grouped into quintiles of the wealth to calculate a concentration curve and the Erreygers Concentration Index (ECI) in order to measure the inequality of AO distribution. Finally, we performed a decomposition analysis to evaluate the major determinants of inequalities.
resultsThe prevalence of AO among Peruvian adults was 73.8%, being higher among women than men (85.1% and 61.1% respectively, p < 0.001). Socioeconomic inequality in AO was more prominent among men (ECI = 0.342, standard error (SE) = 0.0065 vs. ECI = 0.082, SE = 0.0043). The factors that contributed most to inequality in the prevalence of AO for both sexes were having the highest wealth index (men 37.2%, women 45.6%, p < 0.001), a higher education (men 34.4%, women 41.4%, p < 0.001) and living in an urban setting (men 22.0%, women 57.5%, p < 0.001).
conclusionsIn Peru the wealthy concentrate a greater percentage of AO. The inequality gap is greater among men, although AO is more prevalent among women. The variables that most contributed to inequality were the wealth index, educational level and area of residence. There is a need for effective individual and community interventions to reduce these inequalities.
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