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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Feb 25, 2025
Date Accepted: Jul 24, 2025

The final, peer-reviewed published version of this preprint can be found here:

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

Chang YH, Li CY, Ma HP, Wu CY, Jou YY, Lee CB

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

JMIR Public Health Surveill 2025;11:e73114

DOI: 10.2196/73114

PMID: 40966607

PMCID: 12446567

Clustering of lifestyle behaviors and their association with risk of metabolic syndrome among adults in Taiwan: a nationwide cross-sectional design

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

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 between latent classes of lifestyle behaviors and the risk of MetS and its components.

Methods:

This cross-sectional study used data from Taiwan’s 2020-2022 Adult Preventive Health Services (APHS) Database. The study included 244,214 adults aged 35 and older who participated in APHS 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 between these patterns and risks of MetS and its components.

Results:

The latent class analysis identified five distinct lifestyle behavior patterns, with a MetS prevalence of 31.50%. Compared to the 'healthy lifestyle' group (11.35% prevalence), the 'insufficiently physically active (IPA)' group (75.52%), the 'occasional drinking but physically active' group (7.61%; except for a reduced likelihood of low HDL), the 'occasional drinking and regular smoking with IPA' group (3.88%), and the 'unhealthy in all behaviors' group (1.64%) showed significantly higher odds of developing MetS and its components, with the strongest effects observed in the latter two groups.

Conclusions:

Engaging in sufficient physical activity and adopting multi-behavior interventions tailored to specific lifestyle patterns are crucial for effectively preventing MetS in adults. Clinical Trial: none


 Citation

Please cite as:

Chang YH, Li CY, Ma HP, Wu CY, Jou YY, Lee CB

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

JMIR Public Health Surveill 2025;11:e73114

DOI: 10.2196/73114

PMID: 40966607

PMCID: 12446567

Per the author's request the PDF is not available.

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