Prevalence of insulin resistance in Chinese solar greenhouse and field workers
Evidence from a solar greenhouse and field workers study
Bibliographic Data
| ID | 22086263 |
|---|---|
| Authors | Tenglong 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) |
| Year | 2023 |
| Volume | 11 |
| Pages | 1257183-1257183 |
| Publication date | 2023-08-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2023.1257183 |
| PMID | 37693717 |
| OpenAlex | W4386254019 |
| Language | EN |
| References cited | 29 |
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
| Citation velocity | historical |
|---|---|
| Highly cited | No |