YAN Tenglong, YANG Siwen, WANG Yuqian, ZHU Xiaojun, ZHOU Xingfan, MA Wenjun, TANG Shichuan, LI Jue, LI Tao. Characteristics of blood lipid in solar greenhouse workers[J]. Journal of Environmental and Occupational Medicine, 2021, 38(12): 1307-1311. DOI: 10.13213/j.cnki.jeom.2021.21303
Citation: YAN Tenglong, YANG Siwen, WANG Yuqian, ZHU Xiaojun, ZHOU Xingfan, MA Wenjun, TANG Shichuan, LI Jue, LI Tao. Characteristics of blood lipid in solar greenhouse workers[J]. Journal of Environmental and Occupational Medicine, 2021, 38(12): 1307-1311. DOI: 10.13213/j.cnki.jeom.2021.21303

Characteristics of blood lipid in solar greenhouse workers

  • Background  As a new type of vegetable production method, solar greenhouse has been widely promoted nationwide. The influence of solar greenhouse working on blood lipid cannot be ignored.
    Objective  The aim of the study is to explore the relationship between solar greenhouse working and blood lipid and family clustering.
    Methods  A total of 744 solar greenhouse workers in northwestern China were selected as the greenhouse group, and 231 general open field farmers in the same area were selected as the non-greenhouse group. The levels of serum total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDLC), and low-density lipoprotein cholesterol (LDLC) in the two groups were detected. Dyslipidemia was determined by a two-classification criteria in the national guideline of 2007. Multiple logistic regression model and multilevel multiple linear regression model were used to explore the relationship of blood lipid with solar greenhouse working, and its family clustering.
    Results  The number of dyslipidemia cases in the greenhouse group and non-greenhouse group was 142 (19.1%) and 43 (18.6%), respectively, and the difference was not statistically significant (P>0.05). The results of multiple logistic regression analysis showed that increasing age (OR=1.019, 95% CI: 1.001-1.038) and increased BMI (OR=1.162, 95% CI: 1.106-1.220) were related to elevated risk of dyslipidemia (all Ps<0.05). The results of multilevel multiple linear regression model showed that the changes of TC, HDLC, and TG/HDLC had family clustering (b=0.238, 95%CI: 0.132-0.430; b=0.044, 95%CI: 0.033-0.065; b=1.003, 95%CI: 0.947-1.059) (all Ps<0.05).
    Conclusion  Solar greenhouse working does not significantly increase the incidence of dyslipidemia, but the levels of TC, HDLC, and TG/HDLC levels in the solar greenhouse workers have family clusters.
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