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Prevalence of insulin resistance in Chinese solar greenhouse and field workers

Evidence from a solar greenhouse and field workers study

Bibliographic Data

ID22086263
AuthorsTenglong Yan (0000-0002-2424-0223, Beijing Center for Disease Prevention and Control), Minghui Wang (0000-0003-3644-7325, Capital Medical University), Siwen Yang (0009-0003-3844-0677), Yuqian Wang (0000-0003-2047-7351, Beijing Academy of Science and Technology), Xingfan Zhou (0000-0003-4812-8575, Beijing Academy of Science and Technology), Xiaojun Zhu (0000-0002-5506-9318, corresponding author), Wenjun Ma (0000-0002-9266-4802, Peking University), Shichuan Tang (0000-0003-1744-5068, Beijing Academy of Science and Technology), Jue Li (0000-0001-6546-5683, Beijing Center for Disease Prevention and Control)
Year2023
Volume11
Pages1257183-1257183
Publication date2023-08-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1257183
PMID37693717
OpenAlexW4386254019
LanguageEN
References cited29

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

Agronomy · Biology · Environmental health · Greenhouse · Linear regression · Logistic regression · Statistics · Adipose Tissue and Metabolism · Computer Science · Environmental Science · Mathematics · Medicine · Internal Medicine

  • Positive Rates and Factors Associated with Abnormal Lung Function of Greenhouse Workers in China

    Open Access•Xiaojun Zhu, Panjun Gao et al.•International Journal of…•2017

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