Evidence map›Paper›PMID 41667840›Full record

Observational studyInternational journal of obesity (2005)2026

Genetic insights into socioeconomic inequalities and adiposity-related interventions for reducing accelerated biological aging.

Shiyin Meng, Zhehui Ma, Wenjie Xuan, Xiang Wang, Zhuoyi Wu, Mengmeng Ji, Jing Ni

Abstract readObservational Study
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Observational study in International journal of obesity (2005), 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shiyin Meng *Department of Infectious Diseases, The Fourth Affiliated Hospital of Anhui Medical University, Chaohu, Anhui, China.
Zhehui Ma *Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei, Anhui, China.
Wenjie XuanDepartment of Infectious Diseases, The Fourth Affiliated Hospital of Anhui Medical University, Chaohu, Anhui, China.
Xiang WangDepartment of Infectious Diseases, The Fourth Affiliated Hospital of Anhui Medical University, Chaohu, Anhui, China.
Zhuoyi WuDepartment of Infectious Diseases, The Fourth Affiliated Hospital of Anhui Medical University, Chaohu, Anhui, China.
Mengmeng JiInnovation Center of Suzhou Nanjing Medical University, Suzhou, Jiangsu, China. jimengmeng@njmu-innocen.com.
Jing NiDepartment of Infectious Diseases, The Fourth Affiliated Hospital of Anhui Medical University, Chaohu, Anhui, China. nijing@ahmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocioeconomic status (SES) has been widely associated with accelerated aging. However, the causal mechanisms underlying this relationship remain poorly understood. This study utilizes genetic data to explore the causal effect of SES on biological aging, with a focus on the mediating role of adiposity traits by using Mendelian randomization (MR) analyses.

methodWe applied a two-step MR using largely genome-wide association study (GWAS) summary data from the UK Biobank to estimate the causal effect of SES on biological aging, as measured by BioAgeAccel and PhenoAgeAccel, and assessed the proportion of this effect mediated by adiposity traits.

resultsMR analyses demonstrated that genetically determined education (β = -0.38; 95% confidence interval [CI]: -0.48, -0.28) and household income (β = -0.41; 95% CI: -0.62, -0.20) showed negative associations with BioAgeAccel. Similarly, genetically determined education (β = -1.30; 95% CI: -1.56, -1.04), household income (β = -1.72; 95% CI: -2.28, -1.15), and occupational attainment (β = -0.50; 95% CI: -0.79, -0.22) were inversely associated with PhenoAgeAccel. Mediation analyses revealed that body mass index (BMI) and waist-to-hip ratio (WHR) mediated the effects of household income on BioAgeAccel, accounting for 23.73% and 20.79% of the total effect, respectively. For PhenoAgeAccel, the mediating effects of BMI and WHR ranged from 15.20% to 53.42% for education, household income, and occupational attainment, respectively.

conclusionsOur findings provide robust genetic evidence that higher SES mitigates biological aging, with adiposity traits mediating a significant proportion of this effect. These results underscore the importance of addressing socioeconomic inequalities and implementing adiposity-related health interventions to counteract accelerated biological aging.

Indexed as

AdiposityAgingSocial ClassFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisObesitySocioeconomic Disparities in HealthSocioeconomic FactorsUK BiobankUnited Kingdom

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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.