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Occupational Exposure and Work-Related Factors Associated with Metabolic Syndrome among Vegetable Farmers bibit nasrokhatun diniah; Sulistiyani Sulistiyani; Tri Joko; Budiyono Budiyono
The Indonesian Journal of Occupational Safety and Health Vol. 15 No. 2 (2026): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijosh.v15i2.2026.136-151

Abstract

Introduction: Long-term pesticide exposure can harm farmers. Metabolic syndrome (MetS) occurs due to metabolic disorders associated with the use of pesticides which act as diabetogenic and obesogenic agents. High pesticide use and diverse agricultural activities contribute to the increased incidence of MetS. This study aims to examine the associations between history of direct exposure (HDE) and history of indirect exposure (HIE) to pesticide and MetS, as well as to identify factors associated with MetS among farmers. Methods: This case-control study included 44 cases and 90 controls from 307 male vegetable farmers in Kuningan, Indonesia. Laboratory tests were used for the diagnosis of MetS and pesticide exposure history, which was measured using a questionnaire (coefficients = 0.30 to 0.60; p < 0.05; Cronbach's alpha = 0.718). Data analysis employed binary logistic regression, controlling for age and family history of metabolic disease by examining the Adjusted Odds Ratio (AOR) with a 95% confidence interval (CI). Results: HIE, defined as eating or drinking after spraying, was associated with the occurrence of MetS (p = 0.017; AOR = 3.677; CI: 1.262–10.710). HDE, characterized by watering activities, also showed a significant association (p = 0.010; AOR = 3.012; CI: 1.301–6.974). In total exposure analysis, both factors remained significant (respectively, p = 0.043; AOR = 3.282; CI: 1.041–10.349, and p = 0.043; AOR = 2.430; CI: 1.027–5.747). Conclusion: Frequent watering and the habitual consumption of food and/or beverages after spraying increase the likelihood of developing MetS. Both HIE and HDE significantly contribute to the onset of MetS.
Serum Cholinesterase Levels And Their Correlation With Body Composition Measured By Bioelectrical Impedance Analysis (BIA) Bibit Nasrokhatun Diniah; Sulistiyani Sulistiyani; Tri Joko; Budiyono Budiyono
Mulawarman International Conference on Tropical Public Health Vol. 1 No. 1 (2025): The 3rd MICTOPH
Publisher : Faculty of Public Health Mulawarman University, Indonesia

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Abstract

Background : Pesticide exposure has harmful effects on farmers, especially spraying farmers. All of pesticide classes such as organophosphates, carbamates, pyrethroids and organochlorines can have a disruptive effect on metabolism and energy storage. One of the bioindicators that can be used to identify farmers exposed to pesticides is AChE. Abnormal AChE levels stimulate nicotinic and muscarinic receptors in various organs, causing a wide range of metabolic disorders including adipose tissue dysfunction, inflammation and changes in body composition. Objective : The aim of this study was to examine the correlation between long-term pesticide exposure and potential body composition alteration in vegetable farmers. Research Methods/ Implementation Methods : This was a cross-sectional study with 46 farmers who spraying pesticide in vegetables area. Subjects were determined by purposive sampling and must fulfil the inclusion and exclusion criteria. Indicator of pesticide exposure measured by cholinesterase serum and history of exposure, while parameters of body composition by bioelectrical impedance analysis (BIA) using body fat monitor. There were body weight, body mass index, resting metabolism rate, total, visceral and subcutaneous fat, skeletal muscle also body age. Results : Subjects with abnormal AChE were only 8.9%. AChE level had no correlation with all components of the exposure history, but had a significant correlation with body composition parameters (p<0.05), that was body weight, BMI, percent fat, percent visceral fat, RMR with strength of correlation is weak (R 0.31-0.34). Conclusion/Lesson Learned : Based on this study AChE may represent a good indicator of metabolic alterations in body composition and may occur due to lipid metabolism disruption.