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The Effects of Lifestyle Factors on Metabolic Syndrome among Korean Adults

Article information

Res Community Public Health Nurs. 2012;23(1):13-21
Publication date (electronic) : 2012 March 31
doi : https://doi.org/10.12799/jkachn.2012.23.1.13
Mee Young Im1, Young-Ran Lee2, Suk Jung Han3, Chung-Min Cho4
1Associate Professor, Department of Nursing, Seoil College, Seoul, Korea.
2Associate Professor, Department of Nursing, Seoul Women's College of Nursing, Seoul, Korea.
3Associate Professor, Department of Nursing, Samyook University, Seoul, Korea.
4Professor, Department of Nursing, Sungshin Women's University, Seoul, Korea.
Corresponding author: Im, Mee Young. Department of Nursing, Seoil College, 22 Seoildaehak-gil, Jungnang-gu, Seoul 131-702, Korea. Tel: +82-2-490-7512, 7517, Fax: +82-2-490-7225, imlydia@hanmail.net
Received 2012 February 10; Revised 2012 March 21; Accepted 2012 March 21.

Abstract

Purpose

The purpose of this study was to estimate the effects of lifestyle factors on metabolic syndrome (MS) among Korean adults (age≥20).

Methods

A total of 7,798 subjects (weighted subjects=37,215,961) were recruited from the 2009 Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV-3). Data were analyzed by t-test, χ2-test, and logistic regression in consideration of strata, cluster and weight as national data using the SAS 9.1 program.

Results

The prevalence of MS by definition of AHA/NHLBI and waist circumference cutoff points for Koreans was 22.4%. The mean clinical MS score for MS patients was 3.4, but the mean score for the non-MS group was 1.2 out of 5.0. Among the lifestyle factors, smoking (OR=1.024), stress (0.546≤OR≤0.587) and drinking (OR=1.005) had significant influence on the MS risk and MS scores, but exercise did not.

Conclusion

The results of this study indicate that further research is necessary on the effect of lifestyle factors on MS risk and nurses should focus on effective programs about smoking, stress and drinking for the prevention and reduction of MS risk.

Keywords: Metabolic syndrome X; Life style; Prevalence; Smoking; Alcohol drinking

Notes

The present research has been conducted by the Research Grant of Seoil University in 2010.

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Article information Continued

Copyright © 2012 Korean Academy of Community Health Nursing

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Funded by : Seoil University

Table 1

Comparison of Demographic Characteristics between MS and Non-MS Groups (N=7,798, wN=37,215,961)

Table 1

Note. Missing cases are excepted.

MS=metabolic syndrome, Non-MS: Non-metabolic syndrome; wN=weighted sum of observations is based on 2005' estimated population by Statistics Korea; wSD=weighted standard deviation due to national wide data analysis.

Table 2

Comparison of Metabolic Syndrome Clinical Determinants between MS and Non-MS Groups (N=7,798, wN=37,215,961)

Table 2

Note. Missing cases are excepted.

MS=metabolic syndrome, Non-MS: Non-metabolic syndrome; wN=weighted sum of observations is based on 2005' estimated population by Statistics Korea; wSD=weighted standard deviation due to national wide data analysis.

Table 3

Comparison of Lifestyle Factors between MS and Non-MS Groups (N=7,798, wN=37,215,961)

Table 3

Note. Missing cases are excepted.

MS=metabolic syndrome, Non-MS: Non-metabolic syndrome; wN=weighted sum of observations is based on 2005' estimated population by Statistics Korea; wSD=weighted standard deviation due to national wide data analysis.

Table 4

Logistic regression model of Lifestyle Risk Factors (N=7,798, wN=37,215,961)

Table 4

Note. Missing cases are excepted; Logistic regression model fit statistics (Wald χ2=207.75, DF=6, p<.001).

wN=weighted sum of observations is based on 2005' estimated population by Statistics Korea; SE=standard error; OR=odds ratio; CI=confidence interval.