Prevalence of insulin resistance in Chinese solar greenhouse and field workers: evidence from a solar greenhouse and field workers study

Frontiers in Public Health

Public Health

Jue Li¹  Tenglong Yan¹  Yuqian Wang²  Xingfan Zhou²  Shichuan Tang²  Minghui Wang³  Wenjun Ma⁴  Siwen Yang⁵  Xiaojun Zhu⁵ 

[1] Beijing Institute of Occupational Disease Prevention and Treatment, Beijing, China;Beijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China;Department of Neurology, Sanbo Brain Hospital, Capital Medical University, Beijing, China;Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China;National Center for Occupational Safety and Health, National Health Commission of the People’s Republic of China, Beijing, China;

关键词: agriculture;    occupational epidemiology;    solar greenhouse workers;    field workers;    triglyceride-glucose index;    prediabetes;    insulin resistance;   

DOI  :  10.3389/fpubh.2023.1257183

 received in 2023-07-12, accepted in 2023-08-07,  发布年份 2023

来源: Frontiers

【 摘 要 】

Evidence suggests that agricultural workers are at higher risk of insulin resistance (IR), but few studies have investigated IR in solar greenhouse workers, who are exposed to higher concentrations of agricultural risk factors than traditional agricultural workers. A prevalence study was conducted in a greenhouse vegetable farm in China. In total, 948 participants were enrolled in this study. Among them, 721 participants were allocated to the greenhouse worker group (G group), and 227 participants were assigned to the field worker group (F group). The TyG index, which is an indicator to evaluate prediabetes (IR), was calculated by the formula: TyG index = ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. To evaluate the associations of TyG index alternation with solar greenhouse and field work, multiple linear regression (MLR) and logistic regression models were performed. The TyG index in the G group (8.53 ± 0.56) was higher than that in the F group (8.44 ± 0.59) (p < 0.05). Solar greenhouse work was positively associated with an increased TyG index in both the multiple linear regression model [β = 0.207, (0.006, 0.408)] and the logistic regression model [OR = 1.469, (1.070, 2.016)]. IR was associated with the solar greenhouse work. However, the determination of agricultural hazard factors needs to be further strengthened to improve exposure assessment.Graphical Abstract

【 授权许可】

Unknown   
Copyright © 2023 Yan, Wang, Yang, Wang, Zhou, Zhu, Ma, Tang and Li.