Exposure to pesticides and the prevalence of diabetes in a rural population in Korea

Sungjin Park, Sung Kyung Kim, Jae Yeop Kim, Kyungsuk Lee, Jung Ran Choi, Sei Jin Chang, Choon Hee Chung, Kyu Sang Park, Sung Soo Oh, Sang Baek Koh

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Abstract

Background: Among the adverse health effects of exposure to pesticides, an association with diabetes has been reported. However, there is a lack of epidemiologic studies on the health effects of exposure to pesticides, particularly investigating the association between occupational pesticide exposure and diabetes prevalence. Purpose: The present study examined the association between pesticide exposure and prevalence of diabetes in a rural population in Korea. Methods: This cross-sectional study used data from the Korea Farmers Cohort study, and included 2559 participants in the baseline survey between November 2005 and January 2008. We performed a clinical examination including blood sampling and assessed data on diabetes diagnosis, demographics, and pesticide exposure. Logistic regression was performed to evaluate the association between pesticide exposure and diabetes prevalence, adjusting for age, sex, monthly income, and marital status. In addition, a stratified analysis by body mass index (BMI) was conducted, with two categories: normal weight (<25 kg/m 2 ) and overweight or obese (≥25 kg/m 2 ). Results: At baseline, the prevalence of diabetes was 9.30%. Pesticide exposure was associated with the risk of diabetes after adjustment for covariates. In the analysis stratified by BMI, all the variables related to pesticide exposure were associated with prevalence of diabetes in the overweight or obese group, whereas no significant association was found in the normal weight group. Conclusion: Exposure to pesticides was associated with diabetes, and this association was stronger in overweight or obese individuals than in normal weight individuals. Further longitudinal studies that consider information on BMI are necessary.

Original languageEnglish
Pages (from-to)12-18
Number of pages7
JournalNeuroToxicology
Volume70
DOIs
Publication statusPublished - 2019 Jan

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Rural Population
Korea
Medical problems
Pesticides
Body Mass Index
Weights and Measures
Health
Marital Status
Occupational Exposure
Longitudinal Studies
Logistics
Epidemiologic Studies
Blood
Cohort Studies
Cross-Sectional Studies
Logistic Models
Demography
Sampling

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)
  • Toxicology

Cite this

Park, Sungjin ; Kim, Sung Kyung ; Kim, Jae Yeop ; Lee, Kyungsuk ; Choi, Jung Ran ; Chang, Sei Jin ; Chung, Choon Hee ; Park, Kyu Sang ; Oh, Sung Soo ; Koh, Sang Baek. / Exposure to pesticides and the prevalence of diabetes in a rural population in Korea. In: NeuroToxicology. 2019 ; Vol. 70. pp. 12-18.
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Exposure to pesticides and the prevalence of diabetes in a rural population in Korea. / Park, Sungjin; Kim, Sung Kyung; Kim, Jae Yeop; Lee, Kyungsuk; Choi, Jung Ran; Chang, Sei Jin; Chung, Choon Hee; Park, Kyu Sang; Oh, Sung Soo; Koh, Sang Baek.

In: NeuroToxicology, Vol. 70, 01.2019, p. 12-18.

Research output: Contribution to journalArticle

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AU - Park, Sungjin

AU - Kim, Sung Kyung

AU - Kim, Jae Yeop

AU - Lee, Kyungsuk

AU - Choi, Jung Ran

AU - Chang, Sei Jin

AU - Chung, Choon Hee

AU - Park, Kyu Sang

AU - Oh, Sung Soo

AU - Koh, Sang Baek

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N2 - Background: Among the adverse health effects of exposure to pesticides, an association with diabetes has been reported. However, there is a lack of epidemiologic studies on the health effects of exposure to pesticides, particularly investigating the association between occupational pesticide exposure and diabetes prevalence. Purpose: The present study examined the association between pesticide exposure and prevalence of diabetes in a rural population in Korea. Methods: This cross-sectional study used data from the Korea Farmers Cohort study, and included 2559 participants in the baseline survey between November 2005 and January 2008. We performed a clinical examination including blood sampling and assessed data on diabetes diagnosis, demographics, and pesticide exposure. Logistic regression was performed to evaluate the association between pesticide exposure and diabetes prevalence, adjusting for age, sex, monthly income, and marital status. In addition, a stratified analysis by body mass index (BMI) was conducted, with two categories: normal weight (<25 kg/m 2 ) and overweight or obese (≥25 kg/m 2 ). Results: At baseline, the prevalence of diabetes was 9.30%. Pesticide exposure was associated with the risk of diabetes after adjustment for covariates. In the analysis stratified by BMI, all the variables related to pesticide exposure were associated with prevalence of diabetes in the overweight or obese group, whereas no significant association was found in the normal weight group. Conclusion: Exposure to pesticides was associated with diabetes, and this association was stronger in overweight or obese individuals than in normal weight individuals. Further longitudinal studies that consider information on BMI are necessary.

AB - Background: Among the adverse health effects of exposure to pesticides, an association with diabetes has been reported. However, there is a lack of epidemiologic studies on the health effects of exposure to pesticides, particularly investigating the association between occupational pesticide exposure and diabetes prevalence. Purpose: The present study examined the association between pesticide exposure and prevalence of diabetes in a rural population in Korea. Methods: This cross-sectional study used data from the Korea Farmers Cohort study, and included 2559 participants in the baseline survey between November 2005 and January 2008. We performed a clinical examination including blood sampling and assessed data on diabetes diagnosis, demographics, and pesticide exposure. Logistic regression was performed to evaluate the association between pesticide exposure and diabetes prevalence, adjusting for age, sex, monthly income, and marital status. In addition, a stratified analysis by body mass index (BMI) was conducted, with two categories: normal weight (<25 kg/m 2 ) and overweight or obese (≥25 kg/m 2 ). Results: At baseline, the prevalence of diabetes was 9.30%. Pesticide exposure was associated with the risk of diabetes after adjustment for covariates. In the analysis stratified by BMI, all the variables related to pesticide exposure were associated with prevalence of diabetes in the overweight or obese group, whereas no significant association was found in the normal weight group. Conclusion: Exposure to pesticides was associated with diabetes, and this association was stronger in overweight or obese individuals than in normal weight individuals. Further longitudinal studies that consider information on BMI are necessary.

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