Effects of ambient temperature on metabolic syndrome and pathway analysis

Jie HU; Jiali Luo; Zihui Chen; Siqi Chen; Guiyuan JI; Xiaojun XU; Ruilin Meng; Jianpeng Xiao; Guanhao HE; Haorong Meng; Jianxiong HU; Weilin Zeng; Xing LI; Lingchuan Guo; Wenjun MA

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Effects of ambient temperature on metabolic syndrome and pathway analysis

VernacularTitle:气温对代谢综合征的影响及其路径分析
Author: Jie HU ¹ ; Jiali LUO ¹ ; Zihui CHEN ¹ ; Siqi CHEN ¹ ; Guiyuan JI ¹ ; Xiaojun XU ¹ ; Ruilin MENG ¹ ; Jianpeng XIAO ¹ ; Guanhao HE ¹ ; Haorong MENG ¹ ; Jianxiong HU ¹ ; Weilin ZENG ¹ ; Xing LI ¹ ; Lingchuan GUO ¹ ; Wenjun MA ²
Author Information

1. .
2. School of Medicine, Jinan University, Guangzhou, Guangdong 510630, China.
Publication Type:Specialcolumn:Mechanismsunderlyinghumanhealtheffectsofclimatechange
Keywords: ambient temperature; metabolic syndrome; path analysis; exposure-effect relationship; generalized additive model
From: Journal of Environmental and Occupational Medicine 2022;39(3):253-260
CountryChina
Language:Chinese
Abstract: Background In recent years, the incidence of metabolic syndrome (MS) is increasing significantly in China. Some studies have found that temperature is related to single metabolic index, but there is a lack of research on associated mechanism and identifying path of the influence of temperature on MS. Objective Based on the data of Guangdong Province, to investigate the effect of temperature on MS and its pathway. Methods A total of 8524 residents were enrolled by multi-stage random sampling from October 2015 to January 2016 in Guangdong. Basic characteristics, behavioral characteristics, health status, and physical activity level were obtained through questionnaires and physical examinations, and meteorological data were obtained from meteorological monitoring sites. We matched individual data both with the temperature data of the physical examination day and of a lag of 14 d. A generalized additive model was used to explore the exposure-effect relationship between temperature and MS and its indexes, calculate effect values, and explore the effects of single-day lag temperature. Based on the literature and the results of generalized additive model analysis, a path analysis was conducted to explore the pathways of temperature influencing MS. Results The association between daily average temperature on the current day or lag 14 day and MS risk was not statistically significant. When daily average temperature increased by 1 ℃, the change values of fasting blood-glucose (FBG), systolic blood pressure (SBP), diastolic blood pressure (DBP), and high density lipoprotein cholesterol (HDL-C) were −0.033 (95%CI: −0.040-−0.026) mmol·L⁻¹, −0.662 (95%CI: −0.741-−0.583) mmHg, −0.277 (95%CI: −0.323-−0.230) mmHg, and −0.005 (95%CI: −0.007-−0.004) mmol·L⁻¹ respectively. The effects of average daily temperature on FBG, blood pressure, HDL-C, and waist circumference lasted until lag 14 day. The effects of daily average temperature on SBP and DBP were the largest on the current day. Daily average temperature of current day had direct and indirect effects on FBG and SBP. Temperature had an indirect effect on TG, and the intermediate variables were waist circumference and FBG, with an indirect effect value of −0.011 (95%CI: −0.020-−0.002). The indirect effects of daily average temperature on SBP, FBG, and TG were weak. Conclusion There is no significant correlation between temperature and risk of MS, and daily average temperature of current day could significantly affected blood pressure and FBG with a lag effect. Daily average temperature of current day has indirect effects on FBG and TG.