Evidence map›Paper›PMID 42506320›Full record

ArticleMedical sciences (Basel, Switzerland)2026

Educational Inequalities and Obesity: Association and Attenuation After Lifestyle Adjustment in a Cross-Sectional Working-Age Population.

María Teófila Vicente-Herrero, Pedro J Tárraga López, Carla Busquets-Cortés, Lluis Rodas Cañellas, Ángel Arturo López-González, José Ignacio Ramírez-Manent

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Article in Medical sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

María Teófila Vicente-HerreroADEMA University School, University of the Balearic Islands, 07009 Palma, Spain.ORCID 0000-0002-3071-5897
Pedro J Tárraga LópezFaculty of Medicine, University of Castilla La Mancha, 02008 Albacete, Spain.ORCID 0000-0002-5222-5784
Carla Busquets-CortésADEMA University School, University of the Balearic Islands, 07009 Palma, Spain.ORCID 0000-0001-9367-2137
Lluis Rodas CañellasADEMA University School, University of the Balearic Islands, 07009 Palma, Spain.ORCID 0009-0006-3848-687X
Ángel Arturo López-GonzálezADEMA University School, University of the Balearic Islands, 07009 Palma, Spain.ORCID 0000-0002-7439-8117
José Ignacio Ramírez-ManentADEMA University School, University of the Balearic Islands, 07009 Palma, Spain.ORCID 0000-0001-6887-4562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a major public health concern and shows a clear social gradient, with higher prevalence among individuals with lower socioeconomic position. Educational level is a key indicator of socioeconomic status, but the extent to which lifestyle factors explain its association with obesity remains unclear.

objectiveTo examine the association between educational level and obesity in a working-age population and to evaluate how adjustment for lifestyle factors influences the magnitude of the association between educational level and obesity.

methodsA cross-sectional study was conducted among 3108 working-age adults undergoing occupational health assessments in Spain. Educational level was categorised into three groups (higher, intermediate, and primary or none). Obesity was defined as a body mass index ≥30 kg/m

resultsThe overall prevalence of obesity was 16.6%, with a clear gradient across educational levels (11.5% in higher education vs. 19.8% in primary or no education). In crude analyses, individuals with the lowest educational level had higher odds of obesity (OR 1.89; 95% CI 1.46-2.45). Adjustment for age and sex attenuated the association (OR 1.72; 95% CI 1.32-2.24), with further reduction after inclusion of lifestyle factors (OR 1.63; 95% CI 1.24-2.13). In the fully adjusted model, the association remained statistically significant (OR 1.61; 95% CI 1.18-2.21), indicating that adjustment for lifestyle factors attenuated the association between educational level and obesity, although the association remained statistically significant.

conclusionsLower educational level is associated with a higher risk of obesity. Adjustment for lifestyle factors attenuated this association, although a statistically significant relationship remained. These findings support the role of education as a fundamental determinant of health and highlight the need for strategies addressing broader social and structural determinants of obesity.

Indexed as

Educational StatusLife StyleObesityAdultBody Mass IndexCross-Sectional StudiesExerciseFemaleHumansLow Socioeconomic StatusMaleMiddle AgedPrevalenceSocioeconomic Disparities in HealthSpaincross-sectional studieseducational statuslife stylemediterranean dietobesitysocioeconomic factors

Identifiers

PMID42506320
PMCPMC13413751

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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.