Relationship between health-related quality of life and clustering of metabolic syndrome diagnostic components
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To examine the association of the number of metabolic syndrome diagnostic components (MetS-DC) with health-related quality of life (HR-QOL).
We examined the baseline data from 4,480 healthy workers in Japan (3,668 men and 812 women) aged 19–69 years. We assessed HR-QOL based on scores for five scales of the SF-36. We defined four components for MetS in this study as follows: (1) high blood pressure (BP); (2) dyslipidemia; (3) impaired glucose tolerance; and (4) overweight: a body mass index ≥25 kg/m2. Logistic regression analysis adjusted for lifestyle factors was used to examine the association of the number of MetS-DC with the HR-QOL sub-scales.
Those who had 0–4 MetS-DC accounted for 2,287, 1,135, 722, 282, and 54 participants. The number of MetS-DC inversely contributed significantly to General Health (norm-based scoring >50) (odd ratios [OR] 0.59–0.82, P < 0.05) and positively associated with Mental Health (OR 1.37, P < 0.05).
When adjusted for lifestyle factors, the number of MetS-DC was inversely associated with General Health and positively with Mental Health in men and women.
KeywordsMetabolic syndrome Diagnostic components Health-related quality of life SF-36
Metabolic syndrome diagnostic components
Impaired glucose tolerance
Health-related quality of life
The high-risk and population strategy for occupational health promotion (study)
Body mass index
The International Physical Activity Questionnaire
High-density lipoprotein cholesterol
This study was funded by research grants from the Ministry of Health and Welfare of Japan (H10-12, No. 063, Research on Health Services, Health Sciences Research Grants and H13, No. 010, Medical Frontier Strategy Research, Health Sciences Research Grants), the Ministry of Health, Labor, and Welfare of Japan (H14-15, No. 010, Clinical Research for Evidence-Based Medicine, Health, and Labor Sciences Research Grants), and the Japan Arteriosclerosis Prevention Fund 2004. We thank Toshimi Yoshida, Shiga University of Medical Science, for her excellent clerical support during this research.
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