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Association between pesticide exposure and obesity: A cross-sectional study of 20,295 farmers in Thailand

Background: Obesity is a serious condition because it is associated with other chronic diseases which affect the quality of life. In addition to problems associated with diet and exercise, recent research has found that pesticide exposure might be another important risk factor. The objective of this...

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Autores principales: Noppakun, Kajohnsak, Juntarawijit, Chudchawal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127373/
https://www.ncbi.nlm.nih.gov/pubmed/35646323
http://dx.doi.org/10.12688/f1000research.53261.3
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author Noppakun, Kajohnsak
Juntarawijit, Chudchawal
author_facet Noppakun, Kajohnsak
Juntarawijit, Chudchawal
author_sort Noppakun, Kajohnsak
collection PubMed
description Background: Obesity is a serious condition because it is associated with other chronic diseases which affect the quality of life. In addition to problems associated with diet and exercise, recent research has found that pesticide exposure might be another important risk factor. The objective of this study was to determine the association between pesticide exposure and obesity among farmers in Nakhon Sawan and Phitsanulok province, Thailand.  Methods: This study was a population-based cross-sectional study. Data on pesticide use and obesity prevalence from 20,295 farmers aged 20 years and older were collected using an in-person interview questionnaire. The association was analysed using multivariable logistic regression, adjusted for its potential confounding factors.  Results: Obesity was found to be associated with pesticide use in the past. The risk of obesity was significantly predicted by types of pesticides, including insecticides (OR = 2.10, 95% CI 1.00-4.38), herbicides (OR = 4.56, 95% CI 1.11-18.62), fungicides (OR = 2.12, 95% CI 1.34-3.36), rodenticides (OR = 2.55, 95% CI 1.61-4.05), and molluscicides (OR = 3.40, 95% CI 2.15-5.40). Among 35 surveyed individual pesticides, 22 were significantly associated with higher obesity prevalence (OR = 1.78, 95% CI 1.10-2.88 to OR = 8.30, 95% CI 2.54-27.19), including herbicide butachlor, 15 insecticides (two carbamate insecticides, five organochlorine insecticides, and eight organophosphate insecticides), and six fungicides.  Conclusion: This study found obesity in farmers in Nakhon Sawan and Phitsanulok province, Thailand, to be associated with the long-term use of several types of pesticides. The issue should receive more public attention, and pesticide use should be strictly controlled.
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spelling pubmed-91273732022-05-27 Association between pesticide exposure and obesity: A cross-sectional study of 20,295 farmers in Thailand Noppakun, Kajohnsak Juntarawijit, Chudchawal F1000Res Research Article Background: Obesity is a serious condition because it is associated with other chronic diseases which affect the quality of life. In addition to problems associated with diet and exercise, recent research has found that pesticide exposure might be another important risk factor. The objective of this study was to determine the association between pesticide exposure and obesity among farmers in Nakhon Sawan and Phitsanulok province, Thailand.  Methods: This study was a population-based cross-sectional study. Data on pesticide use and obesity prevalence from 20,295 farmers aged 20 years and older were collected using an in-person interview questionnaire. The association was analysed using multivariable logistic regression, adjusted for its potential confounding factors.  Results: Obesity was found to be associated with pesticide use in the past. The risk of obesity was significantly predicted by types of pesticides, including insecticides (OR = 2.10, 95% CI 1.00-4.38), herbicides (OR = 4.56, 95% CI 1.11-18.62), fungicides (OR = 2.12, 95% CI 1.34-3.36), rodenticides (OR = 2.55, 95% CI 1.61-4.05), and molluscicides (OR = 3.40, 95% CI 2.15-5.40). Among 35 surveyed individual pesticides, 22 were significantly associated with higher obesity prevalence (OR = 1.78, 95% CI 1.10-2.88 to OR = 8.30, 95% CI 2.54-27.19), including herbicide butachlor, 15 insecticides (two carbamate insecticides, five organochlorine insecticides, and eight organophosphate insecticides), and six fungicides.  Conclusion: This study found obesity in farmers in Nakhon Sawan and Phitsanulok province, Thailand, to be associated with the long-term use of several types of pesticides. The issue should receive more public attention, and pesticide use should be strictly controlled. F1000 Research Limited 2022-05-17 /pmc/articles/PMC9127373/ /pubmed/35646323 http://dx.doi.org/10.12688/f1000research.53261.3 Text en Copyright: © 2022 Noppakun K and Juntarawijit C https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Noppakun, Kajohnsak
Juntarawijit, Chudchawal
Association between pesticide exposure and obesity: A cross-sectional study of 20,295 farmers in Thailand
title Association between pesticide exposure and obesity: A cross-sectional study of 20,295 farmers in Thailand
title_full Association between pesticide exposure and obesity: A cross-sectional study of 20,295 farmers in Thailand
title_fullStr Association between pesticide exposure and obesity: A cross-sectional study of 20,295 farmers in Thailand
title_full_unstemmed Association between pesticide exposure and obesity: A cross-sectional study of 20,295 farmers in Thailand
title_short Association between pesticide exposure and obesity: A cross-sectional study of 20,295 farmers in Thailand
title_sort association between pesticide exposure and obesity: a cross-sectional study of 20,295 farmers in thailand
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127373/
https://www.ncbi.nlm.nih.gov/pubmed/35646323
http://dx.doi.org/10.12688/f1000research.53261.3
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