Evidence map›Paper›PMID 41021555›Full record

ArticlePloS one2025

Sex differences in the association between visceral adiposity index and biological aging: A cross-sectional analysis of NHANES 1999-2018 with mediation by insulin resistance.

Jia Yang, Haifeng Liu, Xupeng Huang, Zimin Fu, Jie Zhou, Tiejun Liu, Weimin Zhao

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Article in PloS one, 2025. 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

7 authors.

Jia YangCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun City, Jilin Province, China.ORCID 0009-0007-8012-2524
Haifeng LiuCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun City, Jilin Province, China.ORCID 0009-0002-3056-5136
Xupeng HuangCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun City, Jilin Province, China.
Zimin FuCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun City, Jilin Province, China.
Jie ZhouCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun City, Jilin Province, China.
Tiejun LiuDepartment of Gastroenterology, First Affiliated Hospital to Changchun University of Chinese Medicine, Changchun City, Jilin Province, China.
Weimin ZhaoDepartment of Neurology, First Affiliated Hospital to Changchun University of Chinese Medicine, Changchun City, Jilin Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAging poses challenges global health and social care systems, with obesity potentially being associated with this process. However, sex differences and the mediating mechanisms underlying this association remain poorly understood. This study investigated sex differences in the associations of visceral adiposity index (VAI) with biological aging (BA) assessed via the Klemera-Doubal method age (KDMAge) and the risk of KDMAge acceleration (KDMAgeAccel), and explored the mediating role of the homeostasis model assessment of insulin resistance (HOMA-IR).

methodsAccording to the National Health and Nutrition Examination Survey (1999-2018), weighted data from 19486 adults were analyzed cross-sectionally. VAI-BA associations were analyzed in the overall population and sex-specific subgroups using multivariable linear and logistic regressions, with nonlinear patterns explored via restricted cubic splines (RCSs) and threshold analyses. Mediation analyses quantified the mediating effects of HOMA-IR.

resultsVAI correlated positively with BA overall. However, females showed stronger associations than males for each 1-unit VAI increase with KDMAge elevation (βfemale = 1.02, 95% CI: 0.81-1.23; βmale = 0.59, 95% CI: 0.42-0.75) and KDMAgeAccel risk (ORfemale = 1.22, 95% CI: 1.17-1.28; ORmale = 1.10, 95% CI: 1.07-1.13), with all associations remaining significant (P < 0.001). RCSs demonstrated nonlinear positive associations in all cohorts (Pnonlinear < 0.001). Threshold analyses identified that females exhibited a higher VAI threshold for the KDMAge association (3.52 vs. 2.60) despite comparable effect sizes, whereas similar VAI thresholds across sexes were associated with a greater KDMAgeAccel risk in females than in males (75% vs. 36%). HOMA-IR partially mediated VAI-BA associations, with a greater percentage in males than in females in both VAI-KDMAge (21.67% vs. 12.71%) and VAI-KDMAgeAccel risk (27.09% vs. 10.39%) relationships.

conclusionVAI showed a significant positive association with BA, with females demonstrating a stronger association strength and males showing a greater proportion of the association mediated through HOMA-IR.

Indexed as

AdiposityAgingInsulin ResistanceIntra-Abdominal FatObesity, AbdominalAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysSex CharacteristicsSex Factors

Identifiers

PMID41021555
PMCPMC12478895

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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.