Department of Internal Medicine, Shenyang Women's and Children's Hospital, Shenyang, 110011, China; Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
Environ Res. 2022 Mar;204(Pt A):111974. doi: 10.1016/j.envres.2021.111974. Epub 2021 Sep 2.
Recent research attention has been paid to anthropogenic heat emissions (AE), temperature increase generated by human activity such as lighting, transportation, manufacturing, construction, and building climate controls. However, there is no epidemiological data available to investigate the association between anthropogenic heat emissions and metabolic syndrome (MetS), a cluster of conditions that increase risk of stroke, heart disease and diabetes.
To explore the relationships between AE and MetS in China.
We recruited 15,477 adults from the 33 Communities Chinese Health Study, a cross-sectional study in northeastern China. We retrieved anthropogenic heat flux by collecting socio-economic and energy consumption data as well as satellite-based nighttime light and Normalized Difference Vegetation Index datasets, including emissions from buildings, transportation, human metabolism, and industries. We also measured MetS components consisting of triglycerides, high density lipoprotein cholesterol, fasting glucose, systolic blood pressure, and diastolic blood pressure, and waist circumference. Restricted cubic spline models were applied to assess the associations between AE and MetS.
The median flux of total AE was 30.98 W/m and industrial AE was the dominant contributor (87.64%). The adjusted odds ratio and 95% confidence interval (CI) of MetS for the 75th and 95th percentiles of the total AE against the threshold were 1.29 (95% CI: 1.21, 1.38) and 1.65 (95% CI: 1.47, 1.85). Greater AE was associated with higher odds of MetS in a dose-response pattern, and the lowest point of U-shape curve indicated the threshold effect. Participants who are young and middle-aged exhibited stronger associations between AE and MetS.
Our novel findings reveal that AE are positively associated with MetS and that associations are modified by age. Further investigations into the mechanisms of the effects are needed.
最近，人们对人为热排放（AE）引起的关注越来越多，人为热排放是人类活动（如照明、交通、制造、建筑和建筑气候控制）产生的温度升高。然而，目前还没有流行病学数据来调查人为热排放与代谢综合征（MetS）之间的关系，代谢综合征是一组增加中风、心脏病和糖尿病风险的病症。
探讨中国人为热排放与代谢综合征的关系。
我们从中国东北的 33 个社区健康研究中招募了 15477 名成年人，这是一项横断面研究。我们通过收集社会经济和能源消耗数据以及基于卫星的夜间灯光和归一化差异植被指数数据集，检索人为热通量，包括建筑物、交通、人类新陈代谢和工业的排放。我们还测量了代谢综合征的组成部分，包括甘油三酯、高密度脂蛋白胆固醇、空腹血糖、收缩压和舒张压以及腰围。应用受限立方样条模型评估 AE 与 MetS 之间的关联。
人为总排放通量的中位数为 30.98 W/m，工业排放是主要贡献者（87.64%）。与阈值相比，总 AE 第 75 和 95 百分位数的 MetS 调整后比值比和 95%置信区间（CI）分别为 1.29（95%CI：1.21，1.38）和 1.65（95%CI：1.47，1.85）。AE 呈剂量反应模式与 MetS 的比值较高，U 型曲线的最低点表明存在阈值效应。年轻和中年参与者的 AE 与 MetS 之间存在更强的关联。
我们的新发现表明，AE 与 MetS 呈正相关，并且这种关联受年龄的影响。需要进一步研究这些影响的机制。
