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Relationship between health-related quality of life and clustering of metabolic syndrome diagnostic components

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Abstract

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/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.

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.

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Abbreviations

MetS:

Metabolic syndrome

MetS-DC:

Metabolic syndrome diagnostic components

BP:

Blood pressure

IGT:

Impaired glucose tolerance

HR-QOL:

Health-related quality of life

GH:

General Health

MH:

Mental Health

RP:

Role-Physical

RE:

Role-Emotional

HIPOP-OHP:

The high-risk and population strategy for occupational health promotion (study)

CVD:

Cardiovascular diseases

BMI:

Body mass index

MET:

Metabolic equivalent

IPAQ:

The International Physical Activity Questionnaire

SF-36:

Short-Form 36

NBS:

Norm-based scoring

HDL:

High-density lipoprotein cholesterol

References

  1. Bhatt, D. L., Steg, P. G., Ohman, E. M., Hirsch, A. T., Ikeda, Y., Mas, J. L., et al. (2006). International prevalence, recognition, and treatment of cardiovascular risk factors in outpatients with atherothrombosis. JAMA, 295, 180–189.

    Article  PubMed  CAS  Google Scholar 

  2. Reaven, G. M. (1988). Role of insulin resistance in human disease. Diabetes, 37, 1595–1607.

    Article  PubMed  CAS  Google Scholar 

  3. Meigs, J. B., D’Agostino, R. B. S., Wilson, P. W., Cupples, L. A., Nathan, D. M., & Singer, D. E. (1997). Risk variable clustering in the insulin resistance syndrome. The Framingham Offspring Study. Diabetes, 46, 1594–1600.

    Article  PubMed  CAS  Google Scholar 

  4. (2001) Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 285, 2486–2497.

  5. Tsai, A. G., Wadden, T. A., Sarwer, D. B., Berkowitz, R. I., Womble, L. G., Hesson, L. A., et al. (2008). Metabolic syndrome and health-related quality of life in obese individuals seeking weight reduction. Obesity, 16, 59–63.

    Article  PubMed  Google Scholar 

  6. Lidfeldt, J., Nyberg, P., Nerbrand, C., Samsioe, G., Scherstén, B., & Agardh, C. D. (2003). Socio-demographic and psychosocial factors are associated with features of the metabolic syndrome. The Women’s Health in the Lund Area (WHILA) study. Diabetes, Obesity & Metabolism, 5, 106–112.

    Article  CAS  Google Scholar 

  7. Sullivan, P. W., Ghushchyan, V., Wyatt, H. R., Wu, E. Q., & Hill, J. O. (2007). Impact of cardiometabolic risk factor clusters on health-related quality of life in the US. Obesity, 15, 511–521.

    Article  PubMed  Google Scholar 

  8. Amiri, P., Hosseinpanah, F., Rambod, M., Montazeri, A., & Azizi, F. (2010). Metabolic syndrome predicts poor health-related quality of life in women but not in men: Tehran lipid and glucose study. Journal of Women’s Health (Larchmt), 19, 1201–1207.

    Article  Google Scholar 

  9. Afsar, B., Elsurer, R., Sezer, S., & Ozdemir, N. F. (2009). Does metabolic syndrome have an impact on the quality of life and mood of hemodialysis patients? Journal of Renal Nutrition, 19, 365–371.

    Article  PubMed  Google Scholar 

  10. Frisman, G. H., & Kristenson, M. (2009). Psychosocial status and health related quality of life in relation to the metabolic syndrome in a Swedish middle-aged population. European Journal of Cardiovascular Nursing, 8, 207–215.

    Article  PubMed  Google Scholar 

  11. Okamura, T., Tanaka, T., Babazono, A., Yoshita, K., Chiba, N., Takebayashi, T., et al. (2004). The high-risk and population strategy for occupational health promotion (HIPOP-OHP) study: Study design and cardiovascular risk factors at the baseline survey. Journal of Human Hypertension, 18, 475–485.

    Article  PubMed  CAS  Google Scholar 

  12. Okamura, T., Tanaka, T., Yoshita, K., Chiba, N., Takebayashi, T., Kikuchi, Y., et al. (2004). Specific alcoholic beverage and blood pressure in a middle-aged Japanese population: the high-risk and population strategy for occupational health promotion (HIPOP-OHP) study. Journal of Human Hypertension, 18, 9–16.

    Article  PubMed  CAS  Google Scholar 

  13. Naito, M., Nakayama, T., Okamura, T., Miura, K., Yanagita, M., Fujieda, Y., et al. (2008). Effect of a 4-year workplace-based physical activity intervention program on the blood lipid profiles of participating employees: The high-risk and population strategy for occupational health promotion (HIPOP-OHP) study. Atherosclerosis, 197, 784–790.

    Article  PubMed  CAS  Google Scholar 

  14. Nakamura, M., Sato, S., & Shimamoto, T. (2003). Improvement in Japanese clinical laboratory measurements of total cholesterol and HDL-cholesterol by the US Cholesterol Reference Method Laboratory Network. Journal of atherosclerosis and Thrombosis, 10, 145–153.

    Article  PubMed  CAS  Google Scholar 

  15. Craig, C. L., Marshall, A. L., Sjöström, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., et al. (2003). The International Physical Activity Questionnaire (IPAQ): A comprehensive reliability and validity study in twelve countries. Medicine and Science in Sports and Exercise, 35, 1381–1395.

    Article  PubMed  Google Scholar 

  16. Fukuhara, S., & Suzukamo, T. (2004). Manual of SF-36v2 Japanese version. Kyoto: Institute for Health Outcome & Process Evaluation Research.

    Google Scholar 

  17. Fukuhara, S., Bito, S., Green, J., Hsiao, A., & Kurokawa, K. (1998). Translation, adaptation, and validation of the SF-36 Health Survey for use in Japan. Journal of Clinical Epidemiology, 51, 1037–1044.

    Article  PubMed  CAS  Google Scholar 

  18. Fukuhara, S., Ware, J. E., Jr, Kosinski, M., Wada, S., & Gandek, B. (1998). Psychometric and clinical tests of validity of the Japanese SF-36 Health Survey. Journal of Clinical Epidemiology, 51, 1045–1053.

    Article  PubMed  CAS  Google Scholar 

  19. Yoshiike, N., Matsumura, Y., Zaman, M. M., & Yamaguchi, M. (1998). Descriptive epidemiology of body mass index in Japanese adults in a representative sample from the National Nutrition Survey 1990–1994. International Journal of Obesity and Related Metabolic Disorders, 22, 684–687.

    Article  PubMed  CAS  Google Scholar 

  20. Examination Committee of Criteria for ‘Obesity Disease’ in Japan; Japan Society for the Study of Obesity. (2002). New criteria for ‘obesity disease’ in Japan. Circulation Journal 66, 987–92.

    Google Scholar 

  21. Hosmer, D. W., & Lemeshow, S. (1989). Applied logistic regression. New York: John Wiley & Sons, Inc.

    Google Scholar 

  22. Ford, E. S., & Li, C. (2008). Metabolic syndrome and health-related quality of life among U.S. adults. Annals of Epidemiology, 18, 165–171.

    Article  PubMed  Google Scholar 

  23. Han, J. H., Park, H. S., Shin, C. I., Chang, H. M., Yun, K. E., Cho, S. H., et al. (2009). Metabolic syndrome and quality of life (QOL) using generalised and obesity-specific QOL scales. International Journal of Clinical Practice, 63, 735–741.

    Article  PubMed  CAS  Google Scholar 

  24. Hassan, M. K., Joshi, A. V., Madhavan, S. S., & Amonkar, M. M. (2003). Obesity and health-related quality of life: A cross-sectional analysis of the US population. International Journal of Obesity and Related Metabolic Disorders, 27, 1227–1232.

    Article  PubMed  CAS  Google Scholar 

  25. Wee, H. L., Wu, Y., Thumboo, J., Lee, J., Tai, E. S. (2010). Association of body mass index with Short-Form 36 physical and mental component summary scores in a multiethnic Asian population. International Journal of Obesity (London), 34, 1034–1043.

    Google Scholar 

  26. Larsson, U., Karisson, J., & Sullivin, M. (2002). Impact of overweight and obesity on health-related quality of life—A Swedish population study. International Journal of Obesity and Related Metabolic Disorders, 26, 417–424.

    Article  PubMed  CAS  Google Scholar 

  27. Frisman, G. H., & Kristenson, M. (2009). Psychosocial status and health related quality of life in relation to the metabolic syndrome in a Swedish middle-aged population. European Journal of Cardiovascular Nursing, 8, 207–215.

    Article  PubMed  Google Scholar 

  28. Jurakić, D., Pedišić, Z., & Greblo, Z. (2010). Physical activity in different domains and health-related quality of life: A population-based study. Quality of Life Research, 19, 1303–1309.

    Article  PubMed  Google Scholar 

  29. Bond, D. S., Phelan, S., Wolfe, L. G., Evans, R. K., Meador, J. G., Kellum, J. M., et al. (2009). Becoming physically active after bariatric surgery is associated with improved weight loss and health-related quality of life. Obesity (Silver Spring), 17, 78–83.

    Article  Google Scholar 

  30. Saito, I., Okamura, T., Fukuhara, S., Tanaka, T., Suzukamo, Y., Okayama, A., et al. (2005). A cross-sectional study of alcohol drinking and health-related quality of life among male workers in Japan. Journal of occupational Health, 47, 496–503.

    Article  PubMed  Google Scholar 

  31. Chan, A. M., von Mühlen, D., Kritz-Silverstein, D., & Barrett-Connor, E. (2009). Regular alcohol consumption is associated with increasing quality of life and mood in older men and women: The Rancho Bernardo Study. Maturitas, 62, 294–300.

    Article  PubMed  CAS  Google Scholar 

  32. Nakamura, Y., Turin, T. C., Kita, Y., Tamaki, S., Tsujita, Y., Kadowaki, T., et al. (2007). The associations of obesity measures with the metabolic risk factors in a community-based population in Japan. Circulation Journal, 71, 776–781.

    Article  PubMed  Google Scholar 

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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.

Author information

Authors and Affiliations

  1. Cardiovascular Epidemiology, Kyoto Women’s University, 35 Imakumano Kitahiyoshi-cho, Higashiyama-ku, Kyoto, 605-8501, Japan

    Sayuri Katano, Yasuyuki Nakamura & Aki Nakamura

  2. Department of Health Science, Shiga University of Medical Science, Otsu, Japan

    Yasuyuki Nakamura, Katsuyuki Miura & Hirotsugu Ueshima

  3. Department of Physical Medicine and Rehabilitation, Tohoku University Graduate School of Medicine, Sendai, Japan

    Yoshimi Suzukamo

  4. Department of Medical Statistics, Shiga University of Medical Science, Otsu, Japan

    Yoshitaka Murakami

  5. Department of Health Sciences, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Chuo, Japan

    Taichiro Tanaka

  6. First Institute of Health Service, Japan Anti-Tuberculosis Association, Tokyo, Japan

    Akira Okayama

  7. Department of Preventive Cardiology, National Cardiovascular Center, Suita, Japan

    Tomonori Okamura

  8. Department of Epidemiology and Healthcare Research, Kyoto University Graduate School of Medicine, Kyoto, Japan

    Shunichi Fukuhara

Authors
  1. Sayuri Katano
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  2. Yasuyuki Nakamura
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  3. Aki Nakamura
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  4. Yoshimi Suzukamo
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  5. Yoshitaka Murakami
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  8. Katsuyuki Miura
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  9. Tomonori Okamura
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  10. Shunichi Fukuhara
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  11. Hirotsugu Ueshima
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Corresponding author

Correspondence to Yasuyuki Nakamura.

Additional information

This study is conducted for HIPOP-OHP Research Group. Investigators and members of the research group are listed in the appendix of Ref. [12].

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Katano, S., Nakamura, Y., Nakamura, A. et al. Relationship between health-related quality of life and clustering of metabolic syndrome diagnostic components. Qual Life Res 21, 1165–1170 (2012). https://doi.org/10.1007/s11136-011-0029-y

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