TY - JOUR
T1 - Relationship between health-related quality of life and clustering of metabolic syndrome diagnostic components
AU - Katano, Sayuri
AU - Nakamura, Yasuyuki
AU - Nakamura, Aki
AU - Suzukamo, Yoshimi
AU - Murakami, Yoshitaka
AU - Tanaka, Taichiro
AU - Okayama, Akira
AU - Miura, Katsuyuki
AU - Okamura, Tomonori
AU - Fukuhara, Shunichi
AU - Ueshima, Hirotsugu
N1 - Funding Information:
Odds ratio (OR) and 95% confidence intervals (95% CI) of analysis by logistic regression models on the associations of the number of MetS-DC and lifestyle with NBS sub-scales of Role-Physical, Role-Emotional, General Health, Vitality, and Mental Health are shown. Covariates used for adjustment were age, sex (men = 1, women = 0), MetS-DC (0, 1, 2, C3; 0 served as reference), IPAQ class (C2 vs. 1), current smoking versus never smoking, alcohol intake (0, 0–30, 30–60, C60 ml/day; 0 ml/day served as a reference). The Hosmer–Lemeshow test of goodness of fit was used to assess whether the models provided a good fit to the data MetS-DC metabolic syndrome diagnostic components, HR-QOL health-related quality of life, NBS norm-based scoring scores, IPAQ International Physical Activity Questionnaire classification * P \ 0.05, ** P \ 0.01 Acknowledgments 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.
PY - 2012/9
Y1 - 2012/9
N2 - Purpose To examine the association of the number of metabolic syndrome diagnostic components (MetS-DC) with health-related quality of life (HR-QOL). Methods 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/m 2. 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. Results 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). Conclusion 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.
AB - Purpose To examine the association of the number of metabolic syndrome diagnostic components (MetS-DC) with health-related quality of life (HR-QOL). Methods 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/m 2. 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. Results 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). Conclusion 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.
KW - Diagnostic components
KW - Health-related quality of life
KW - Metabolic syndrome
KW - SF-36
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U2 - 10.1007/s11136-011-0029-y
DO - 10.1007/s11136-011-0029-y
M3 - Article
C2 - 21984466
AN - SCOPUS:84867058438
SN - 0962-9343
VL - 21
SP - 1165
EP - 1170
JO - Quality of Life Research
JF - Quality of Life Research
IS - 7
ER -
