Evidence map›Paper›PMID 41958880›Full record

ArticleFrontiers in endocrinology2026

Cross-sectional analysis of the association between physical activity and metabolic syndrome in the elderly.

Chuandi Zhang, Chunxia Shen, Xiaoyan Yu, Chunjie Ou, Tiane Liu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

5 authors.

Chuandi Zhang *Department of Public Health, Hangzhou Linping District Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang, China.
Chunxia Shen *Department of Public Health, Hangzhou Linping District Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang, China.
Xiaoyan YuDepartment of Public Health, Hangzhou Linping District Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang, China.
Chunjie OuDepartment of Public Health, Hangzhou Linping District Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang, China.
Tiane LiuDepartment of Expanded Program on Immunization, Hangzhou Linping District Center for Disease Control and Prevention (Hangzhou Linping District Health Supervision Institute), Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) is a critical cluster of risk factors for cardiovascular and cerebrovascular diseases. Exploring effective prevention and management strategies for MetS is of great significance for promoting healthy aging. Although physical activity (PA) is widely recommended for MetS prevention, the association between PA levels and MetS, as well as its diagnostic components, in the elderly population remains insufficiently studied. Methods: A cross-sectional study design was employed, involving 1,651 permanent residents aged ≥60 years who participated in a community health examination in Linping District from June to July 2024. PA levels, weekly activity duration, and total activity volume were assessed using the International Physical Activity Questionnaire (IPAQ). MetS and its components were diagnosed according to the International Diabetes Federation (IDF) criteria. Multivariate logistic regression was used to analyze the association between PA and MetS and its components, with sensitivity analyses and subgroup analyses stratified by body mass index (BMI) performed. Results: The prevalence of MetS in the study population was 49.12%. Multivariate regression analysis showed no significant association between PA levels and overall MetS risk after adjusting for confounding factors ( Conclusion: In this elderly population, no expected inverse association was found between overall PA levels and MetS risk. Instead, longer activity duration and moderate PA were associated with an increased risk of elevated TG, particularly among normal-weight elderly individuals. These findings suggest that metabolic health management for the elderly should adopt an integrated strategy combining PA, weight control, and individualized assessment.

Indexed as

ExerciseMetabolic SyndromeAgedBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk Factorsbody mass indexcross-sectional analysiselderlymetabolic syndromephysical activity

Identifiers

PMID41958880
PMCPMC13056830

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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.