Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, China.
Environ Res. 2023 Jan 1;216(Pt 1):114372. doi: 10.1016/j.envres.2022.114372. Epub 2022 Sep 25.
Exposure to air pollution may increase the risk of obesity, but living in greener space may reduce this risk. Epidemiological evidence, however, is inconsistent.
Using data from the China Health and Retirement Longitudinal Study (2011-2015), we conducted a nationwide cohort study of 7424 adults. We measured overweight/obesity according to body mass index. We used annual average ground-level air pollutants, including ozone (O), nitrogen dioxide (NO2), and particulate matter with aerodynamic diameters ≤2.5 μm (PM), to demonstrate air pollution levels. We used the Normalized difference vegetation index (NDVI) to measure greenness exposure. We used time-varying Cox proportional hazard regression models to analyze the connections among air pollution, greenness, and the development of overweight/obesity in middle-aged and older adults in China. We also conducted mediation analyses to examine the mediating effects of air pollution.
We found that lower risk of overweight/obesity was associated with more greenness exposure and lower levels of air pollution. We identified that an interquartile increment in NDVI was correlated with a lower hazard ratio (HR) of becoming overweight or obese (HR = 0.806, 95% confidence interval [CI]: 0.754-0.862). Although a 10 μg/m increase in PM and NO was correlated with higher risks (HR = 1.049, 95% CI = 1.022-1.075, HR = 1.376, 95% CI = 1.264-1.499). Effects of PM on being overweight or obese were stronger in men than in women. According to the mediation analysis, PM and NO mediated 8.85% and 19.22% of the association between greenness and being overweight or obese.
An increased risk of being overweight or obese in middle-aged and older adults in China was associated with long-term exposure to higher levels of PM and NO. This risk was reduced through NDVI exposure, and the associations were partially mediated by air pollutants. To verify these findings, fine-scale studies are needed.
暴露于空气污染可能会增加肥胖的风险,但生活在绿化环境较好的地方可能会降低这种风险。然而,流行病学证据并不一致。
我们使用了来自中国健康与养老追踪调查(2011-2015 年)的数据,对 7424 名成年人进行了一项全国性的队列研究。我们根据体重指数(BMI)来衡量超重/肥胖。我们使用了包括臭氧(O3)、二氧化氮(NO2)和粒径在 2.5 μm 以下的颗粒物(PM)在内的年度平均地面空气污染物来表示空气污染水平。我们使用归一化差异植被指数(NDVI)来衡量绿化程度。我们使用时变 Cox 比例风险回归模型来分析中国中老年人群中空气污染、绿化与超重/肥胖发展之间的关系。我们还进行了中介分析,以检验空气污染的中介作用。
我们发现,较低的超重/肥胖风险与更多的绿化暴露和较低的空气污染水平有关。我们发现,NDVI 的四分位间距增加与成为超重或肥胖的风险降低相关(HR=0.806,95%置信区间[CI]:0.754-0.862)。尽管 PM 和 NO 每增加 10μg/m3 与更高的风险相关(HR=1.049,95%CI:1.022-1.075,HR=1.376,95%CI:1.264-1.499)。PM 对超重或肥胖的影响在男性中比在女性中更强。根据中介分析,PM 和 NO 介导了绿化与超重或肥胖之间关系的 8.85%和 19.22%。
中国中老年人超重或肥胖的风险与长期暴露于较高水平的 PM 和 NO 有关。这种风险通过 NDVI 暴露降低,而这种关联部分是通过空气污染物介导的。为了验证这些发现,需要进行更精细的研究。