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Combined lifestyle factors and metabolic syndrome risk: a systematic review and meta-analysis: Epidemiology and Population Health

  • Yunyang Deng
  • , Qingling Yang
  • , Chun Hao
  • , Harry Haoxiang Wang
  • , Tongyu Ma
  • , Xiangyan Chen
  • , Fei Wan Ngai
  • , Yao Jie Xie

Research output: Contribution to journalReview articlepeer-review

17 Citations (Scopus)

Abstract

Background/Objectives: The metabolic syndrome is a complex condition influenced by many factors including lifestyle. Recently, more and more studies explored the relationships between combined lifestyle factors (often measured as lifestyle scores/indices) and metabolic syndrome due to the co-occurrence of these factors. These scores/indices considered potential interactions among lifestyle factors, offering a more comprehensive understanding of their relationship with metabolic syndrome. However, no review/meta-analysis has been conducted to summarize existing evidence. Thus, this study aimed to synthesize the associations between lifestyle scores/indices and metabolic syndrome in cross-sectional and cohort studies. Subjects/Methods: A literature search was performed in Embase and Medline. Multivariable-adjusted estimates were synthesized using random-effects models. In research where higher scores indicated better health, we used original estimates directly. In studies where higher scores denoted poorer health, we first calculated the coefficients and standard errors based on original estimates. Afterward, we reversed coefficients’ directions and recalculated new estimates. Thus, the pooled estimates compared the healthiest with the least-healthy lifestyles (the highest vs. lowest scores/indices). Subgroup analyses were conducted based on study design, region, baseline time, baseline age, sex, health status, metabolic syndrome diagnosis, and lifestyles’ number. Sensitivity analyses were performed by including only high-quality studies and employing leave-one-out analyses. Results: Nineteen studies from 16 publications were included. Physical activity, diet, and smoking were the top three included lifestyle factors. Compared to participants with the least-healthy lifestyles, those with the healthiest lifestyles had a 43% lower metabolic syndrome risk (95% confidence interval = 0.41–0.73). In subgroup analyses, healthy lifestyle scores/indices were inversely associated with both metabolic syndrome prevalence in cross-sectional studies (Odds ratio = 0.62; 95% confidence interval = 0.51–0.73) and metabolic syndrome incidence in cohort studies (Odds ratio = 0.40; 95% confidence interval = 0.11–0.68). The inverse association was consistent in other subgroup and sensitivity analyses. Conclusions: Adherence to a healthy lifestyle pattern was beneficial to metabolic syndrome prevention.

Original languageEnglish
Article number101451
Pages (from-to)226-236
Number of pages11
JournalInternational Journal of Obesity
Volume49
Issue number2
DOIs
Publication statusPublished - Feb 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Metabolic Syndrome/epidemiology
  • Humans
  • Life Style
  • Risk Factors
  • Cross-Sectional Studies
  • Female
  • Male

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