Evidence map›Paper›PMID 40966607›Full record

ArticleJMIR public health and surveillance2025

Clustering of Lifestyle Behaviors and Their Association With Risk of Metabolic Syndrome Among Adults in Taiwan: Nationwide Cross-Sectional Study.

Ya-Hui Chang, Chung-Yi Li, Hon-Ping Ma, Chien-Yuan Wu, Yann-Yuh Jou, Chiachi Bonnie Lee

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 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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0citing papers 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

6 authors.

Ya-Hui Chang *Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan.ORCID http://orcid.org/0000-0001-6435-6207
Chung-Yi LiDepartment of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0002-0321-8908
Hon-Ping Ma *Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan.ORCID http://orcid.org/0000-0001-7568-1451
Chien-Yuan WuAging and Chronic Disease Control Division, Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-7837-1843
Yann-Yuh JouAging and Chronic Disease Control Division, Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan.ORCID http://orcid.org/0009-0001-1396-9879
Chiachi Bonnie LeeDepartment of Health Services Administration, College of Public Health, China Medical University, 100 Section 1, Jingmao Road, Beitun District, Taichung, 406040, Taiwan.ORCID http://orcid.org/0000-0002-4986-0576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) is a multifaceted health condition influenced by physiological and lifestyle factors, leading to increased risks of cardiovascular disease and other chronic health issues. Lifestyle behaviors often manifest in various clustering patterns, and evidence of their impact on MetS remains limited. Objective: This study explores the relationship of latent classes of lifestyle behaviors with the risk of MetS and its components. Methods: This cross-sectional study used data from Taiwan's 2020-2022 Adult Preventive Health Services Database, which was linked to 2020-2022 National Health Insurance claim data. The study included 241,156 adults aged 40 years and older who participated in adult preventive health services between 2020 and 2022. Lifestyle behaviors were assessed through smoking, alcohol consumption, betel quid chewing, and physical activities. Latent class analysis was used to identify lifestyle behavior patterns, while binary logistic regression examined the association of these patterns with MetS risk and its components. Results: The latent class analysis identified 5 distinct lifestyle behavior patterns, with an overall MetS prevalence of 35.72% (86,143/241,156). Compared to the "healthy lifestyle" group (27,465/241,156, 11.39% prevalence), the "insufficiently physically active (IPA)" group (182,101/241,156, 75.51%, adjusted odds ratio [aOR] 1.41, 95% CI 1.37-1.45; P<.001), the "occasional drinking but physically active" group (18,244/241,156, 7.57%, aOR 1.27, 95% CI 1.21-1.32; P<.001), the "occasional drinking and regular smoking with IPA" group (9539/241,156, 3.96%, aOR 2.38, 95% CI 2.26-2.50; P<.001), and the "unhealthy in all behaviors" group (3807/241,156, 1.58%, aOR 2.38, 95% CI 2.22-2.55; P<.001) showed significantly higher odds of developing MetS. Compared to the "healthy lifestyle" group, all other lifestyle patterns were also associated with significantly higher odds of central obesity (P<.001), elevated blood pressure (P<.001), elevated fasting blood glucose (P<.001), elevated fasting triglycerides (P<.001), and reduced high-density lipoprotein cholesterol (P<.001), with the most potent effects observed in the "occasional drinking and regular smoking with IPA" group and the "unhealthy in all behaviors" group. An exception was noted for the "occasional drinking but physically active" group, which showed a significantly lower likelihood of reduced high-density lipoprotein cholesterol (aOR 0.90, 95% CI 0.85-0.94; P<.001). Conclusions: Engaging in sufficient physical activity and adopting multibehavior interventions tailored to specific lifestyle patterns are crucial for effectively preventing MetS in adults.

Indexed as

Life StyleMetabolic SyndromeAdultAgedCluster AnalysisCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsTaiwanhealth promotionlatent class analysislifestyle patternsmetabolic syndromephysical activity

Identifiers

PMID40966607
PMCPMC12446567

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.