Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
J Hazard Mater. 2024 Dec 5;480:135794. doi: 10.1016/j.jhazmat.2024.135794. Epub 2024 Sep 10.
We estimated the joint effect of particulate matter ≤ 2.5 µm in diameter (PM), nitrogen dioxide (NO), seasonal temperature, noise, greenness, light at night, and neighborhood socioeconomic status (NSES) on body mass index (BMI) in a mixture context among 194,966 participants from the Nurses' Health Study (NHS) and Nurses' Health Study II (NHSII) over 30 years. BMI was calculated from self-reported weight and height. Single- and multi-exposure generalized estimating equations models were used to estimate the difference in BMI per interquartile range (IQR) increase of environmental factors, and quantile g-computation methods were used to estimate joint associations. In both cohorts, we consistently observed positive associations of BMI with PM and NO concentrations as well as negative associations with light at night and NSES regardless modeling approach. A positive association with noise was only observed in NHS. Negative associations with greenness and winter temperature were only observed in NHSII. Overall, the changes in BMI per quintile increase in all eight exposures were -0.11 (-0.13, -0.08) in NHS and -0.39 (-0.41, -0.37) in NHSII, which were largely driven by air pollution and nighttime noise (18-45 %) in the positive direction and NSES (>70 %) in the negative direction. Future intervention on environmental factors, especially reducing PM NO and noise or improving the NSES, might be helpful to lower BMI.
我们在一项混合研究中，估计了直径≤2.5μm 的颗粒物（PM）、二氧化氮（NO）、季节温度、噪声、绿化、夜间光照和邻里社会经济地位（NSES）对 194966 名护士健康研究（NHS）和护士健康研究 II（NHSII）参与者 30 年来体重指数（BMI）的联合影响。BMI 由自我报告的体重和身高计算得出。我们使用单暴露和多暴露广义估计方程模型来估计环境因素每增加一个四分位距（IQR）对 BMI 的影响差异，并使用分位数 g 计算方法来估计联合关联。在两个队列中，我们始终观察到 PM 和 NO 浓度与 BMI 呈正相关，与夜间光照和 NSES 呈负相关，无论采用何种建模方法。在 NHS 中仅观察到与噪声的正相关。仅在 NHSII 中观察到与绿化和冬季温度的负相关。总的来说，在 NHS 中，所有 8 种暴露因素每增加一个五分位数，BMI 平均降低 0.11（0.13，0.08），在 NHSII 中降低 0.39（0.41，0.37），这主要归因于空气污染和夜间噪声（18-45%）的正向影响以及 NSES（>70%）的负向影响。未来针对环境因素的干预措施，特别是降低 PM、NO 和噪声或改善 NSES，可能有助于降低 BMI。
