Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Oct 10;15(10):2213.
doi: 10.3390/ijerph15102213.

The Impact of the Hazard Correlation between Risk Factors and Diabetes

Huan-Cheng Chang  1   2 , Mei-Chin Wang  3 , Meng-Hao Chen  4 , Hung-Chang Liao  5   6 , Ya-Huei Wang  7   8
Affiliations

The Impact of the Hazard Correlation between Risk Factors and Diabetes

Huan-Cheng Chang et al. Int J Environ Res Public Health. .

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.

Keywords: demographic variables; diabetes; environmental variables; health exam variables; healthy behavior variables.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Similar articles

See all similar articles

References

    1. Choi S.E., Liu M., Palaniappan L.P., Wang E.J., Wong N.D. Gender and ethnic differences in the prevalence of type 2 diabetes among Asian subgroups in California. J. Diabetes Complic. 2013;27:429–435. doi: 10.1016/j.jdiacomp.2013.01.002. - DOI - PMC - PubMed
    1. Kuzuya T., Nakagawa S., Satoh J., Kanazawa Y., Iwamoto Y., Kobayashi M., Kadowaki T. Report of the Committee on the classification and diagnostic criteria of diabetes mellitus. Diabetes Res. Clin. Pract. 2002;55:65–85. doi: 10.1016/S0168-8227(01)00365-5. - DOI - PubMed
    1. American Diabetes Association (ADA) Diagnosis and classification of diabetes mellitus 2004. Diabetes Care. 2004;27:5–10. doi: 10.2337/diacare.27.2007.S5. - DOI
    1. The Ministry of Health and Welfare, Taiwan 2011 Statistics for Cause of Death. [(accessed on 1 March 2012)]; Available online: http://www.mohw.gov.tw/cht/DOS/Statistic.aspx?f_list_no=312&fod_list_no=.... (In Chinese)
    1. World Health Organization (WHO) Obesity and Overweight. [(accessed on 1 May 2012)]; Available online: http://www.who.int/mediacentre/factsheets/fs311/en/index.html.

Publication types

Substances