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The Impact of the Hazard Correlation between Risk Factors and Diabetes

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  • Huan-Cheng Chang

    (Division of Nephrology, Department of Medicine, Taiwan Landseed Hospital, No. 77, Guangtai Road, Pingzhen Dist., Taoyuan 324, Taiwan
    Department of Health Care Management, Chang Gung University, No. 259, Wenhua 1st Road, Guishan Dist., Taoyuan 33302, Taiwan)

  • Mei-Chin Wang

    (Noble Health Management Center, Taiwan Landseed Hospital, No. 77, Guangtai Road, Pingzhen Dist., Taoyuan 324, Taiwan)

  • Meng-Hao Chen

    (Department of Medical Management, Chung Shan Medical University Hospital, No. 110, Section 1, Jian-Koa N. Road, Taichung 402, Taiwan)

  • Hung-Chang Liao

    (Department of Medical Management, Chung Shan Medical University Hospital, No. 110, Section 1, Jian-Koa N. Road, Taichung 402, Taiwan
    Department of Health Services Administration, Chung Shan Medical University, No. 110, Section 1, Jian-Koa N. Road, Taichung 402, Taiwan)

  • Ya-huei Wang

    (Department of Medical Management, Chung Shan Medical University Hospital, No. 110, Section 1, Jian-Koa N. Road, Taichung 402, Taiwan
    Department of Applied Foreign Languages, Chung Shan Medical University, No. 110, Section 1, Jian-Koa N. Road, Taichung 402, Taiwan)

Abstract

This study examined the occurrence of diabetes and sustainable risk factors in residents aged 30 and above of a community in Taoyuan County, Taiwan. The main purpose of this research was to explore the correlations between related variables and the occurrence of diabetes. The demographic variables, health exam variables, healthy behavior variables, and environmental variables had obvious impacts on the risk of diabetes. As age increased, the risk of developing the disease also increased; higher educational levels lowered risk, while unemployment raised it. Also, analysis of the health exam variables showed that abnormal BMIs, waist-hip ratios, and body fat percentages had significant impacts on individuals’ risk of diabetes. Moreover, it was found that smoking affected the risk of having diabetes: smokers, particularly male smokers, had a relatively higher risk of developing the disease. Lastly, the results showed that exposure to second-hand smoke did not have a significant effect on the diabetes proportion in the male population. However, a significantly higher proportion of females who had been exposed to second-hand smoke had diabetes.

Suggested Citation

  • Huan-Cheng Chang & Mei-Chin Wang & Meng-Hao Chen & Hung-Chang Liao & Ya-huei Wang, 2018. "The Impact of the Hazard Correlation between Risk Factors and Diabetes," IJERPH, MDPI, vol. 15(10), pages 1-15, October.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2213-:d:174694
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    References listed on IDEAS

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    1. Buckley, Neil J. & Denton, Frank T. & Leslie Robb, A. & Spencer, Byron G., 2004. "The transition from good to poor health: an econometric study of the older population," Journal of Health Economics, Elsevier, vol. 23(5), pages 1013-1034, September.
    2. Humphries, Karin H. & van Doorslaer, Eddy, 2000. "Income-related health inequality in Canada," Social Science & Medicine, Elsevier, vol. 50(5), pages 663-671, March.
    3. Friis, Robert & Nanjundappa, G., 1986. "Diabetes, depression and employment status," Social Science & Medicine, Elsevier, vol. 23(5), pages 471-475, January.
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