Korean J Health Promot.  2023 Jun;23(2):75-84. 10.15384/kjhp.2023.23.2.75.

Prevalence of Metabolic Syndrome and Related Factors Based on Smoking Status and Physical Activity in Korean Adult Men

• Yuan H
• Kim MK

• KMID: 2544124
• DOI: http://doi.org/10.15384/kjhp.2023.23.2.75

Abstract

Background
Cigarette smoking and physical inactivity are critical risk factors for the prevalence of metabolic syndrome (MetS). This study aimed to investigate the prevalence of MetS and its related factors in adult men based on their physical activity (PA) levels and smoking status.
Methods
In this cross-sectional analysis, 5,984 adult men aged 19-64 years were included based on the 7th Korean national health and nutrition examination survey (2016-2018). MetS was diagnosed based on the National Cholesterol Education Program Adult Treatment Panel III criteria, and PA was categorized as light PA (LPA), moderate, and vigorous PA (VPA). We used linear and logistic regression models to analyze the association between PA, MetS, and smoking status.
Results
The prevalence of MetS in adult men was 27.8%, with the risk of MetS increasing with smoking and LPA. The risk of MetS significantly reduced by 64.7% in the VPA and quitter groups compared to that in the LPA and smoking groups (odds ratio, 0.353; 95% confidence interval, 0.232-0.539; P=0.001).
Conclusions
Our study findings suggest that VPA may be an effective means of reducing the risk of MetS in adult men, while smoking and LPA may increase the risk of MetS.

Keyword

Metabolic syndrome; Physical activity; Smoking status; Exercise intensity

Figure

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  Fig. 1. The path model in this study (n=61). The model’s fit showed a perfect fit to the data based on the results (χ2=1.22, df=4, RMR=0.016, RMSEA≤0.001, GFI=0.993, AGFI=0.965, NFI=0.988, CFI=1.00). The model’s fit showed a perfect fit to the data based on the results (χ2=1.22, df=4, RMR=0.016, RMSEA≤0.001, GFI=0.993, AGFI=0.965, NFI=0.988, CFI=1.00). df, degree of freedom; RMR, root mean square residual; RMSEA, root mean square error of approximation; GFI, goodness-of-fit index; AGFI, adjusted goodness-of-fit index; NFI, normed fit index; CFI, comparative fit index; AMOS, analysis of moment structures. aAll values indicate standardized coefficients using AMOS with maximum likelihood estimation obtained by the path analysis. bP<0.05.

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