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Prevalence of diabetes among residents in coal-burning arsenic poisoning area of Yuzhang Town Guizhou Province / 中华地方病学杂志
Chinese Journal of Endemiology ; (12): 573-575, 2020.
Article in Chinese | WPRIM | ID: wpr-866163
ABSTRACT

Objective:

Comparative analysis of diabetes was carried out in coal-burning arsenic poisoning areas and non-arsenic exposed villages of Yuzhang Town, so as to explore the relationship between arsenic exposure and diabetes.

Methods:

Data of basic information of 594 people who were diagnosed and included in the diabetes management in Central Health Center of Yuzhang Town in Qianxinan Prefecture Guizhou Province in 2018 were collected. According to the "Standards for the Determination and Classification of Endemic Arsenic Poisoning Areas" (WS 277-2007), 11 administrative villages in the town were divided into 5 arsenic poisoning villages and 6 non-arsenic exposure villages. The prevalence (%) was used for statistical description.

Results:

In 2018, the prevalence of diabetes in Yuzhang Town was 1.74% (594/34 218), 1.38% (243/17 665) for men and 2.12% (351/16 553) for women, the gender difference was statistically significant (χ 2=27.794, P < 0.05). The prevalence of standardized diabetes in arsenic poisoning villages was 3.38%; the prevalence of standardized diabetes in non-arsenic exposure villages was 3.13%. After sex stratification analysis, the non-arsenic exposed villages were used as reference. The OR and 95% CI of diabetic patients in arsenic poisoning villages were 0.65 (0.50-0.81) for males and 1.35 (1.09-1.67) for females.

Conclusions:

The association between arsenic exposure and diabetes is related to gender. The risk of diabetes mellitus in women is higher than that in men.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Practice guideline / Prevalence study Language: Chinese Journal: Chinese Journal of Endemiology Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Practice guideline / Prevalence study Language: Chinese Journal: Chinese Journal of Endemiology Year: 2020 Type: Article