Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, United States.
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, United States.
Environ Sci Technol. 2024 Aug 13;58(32):14146-14157. doi: 10.1021/acs.est.4c03722. Epub 2024 Jul 31.
We investigated the independent and joint associations between multiple environmental exposures and incident hypertension in a US nationwide prospective cohort of women: the Nurses' Health Study II. We followed 107,532 nonhypertensive participants from 1989 to diagnosis of hypertension, loss to follow-up, death, or end of follow-up in June 2019. We applied Cox proportional hazards models to assess associations of incident hypertension with time-varying residential exposure to air pollution, noise, surrounding greenness, temperature, and neighborhood socioeconomic status (nSES), adjusting for potential confounders and coexposures. We evaluated the joint association of simultaneous exposure using quantile g-computation. We observed 38,175 hypertension cases over 2,062,109 person-years. Increased hypertension incidence was consistently associated with lower nSES and higher levels of fine particles (PM) and nighttime noise exposures: hazard ratio (HRs) and 95% confidence intervals (CIs) of 1.06 (1.04, 1.08), 1.04 (1.01, 1.07), and 1.01 (1.00, 1.03), respectively, per interquartile range change. Joint HR for a one-quartile change in simultaneous exposure to the mixture was 1.05 (95% CI: 1.02, 1.09), assuming additivity, or 1.13 (95% CI: 1.06, 1.20), considering potential interactions within the mixture. Hypertension prevention should focus on enhancing nSES and reducing PM and noise levels, recognizing that reducing the overall exposures may yield additional benefits.
我们在美国全国性前瞻性女性队列护士健康研究 II 中研究了多种环境暴露与高血压发病的独立和联合关联。我们从 1989 年开始随访 107532 名非高血压参与者,直到高血压诊断、随访丢失、死亡或 2019 年 6 月随访结束。我们应用 Cox 比例风险模型评估高血压发病与住宅环境空气污染、噪声、周围绿化、温度和邻里社会经济地位(nSES)的时变暴露的关联,调整潜在混杂因素和共同暴露。我们使用分位数 g 计算评估同时暴露的联合关联。我们观察到 2062109 人年中有 38175 例高血压病例。nSES 较低、细颗粒物(PM)和夜间噪声暴露水平较高与高血压发病率的增加一致相关:每四分位间距变化的危险比(HRs)和 95%置信区间(CIs)分别为 1.06(1.04,1.08)、1.04(1.01,1.07)和 1.01(1.00,1.03)。假设加性,同时暴露于混合物的一个四分位间距变化的联合 HR 为 1.05(95%CI:1.02,1.09),或者考虑到混合物内的潜在相互作用,为 1.13(95%CI:1.06,1.20)。高血压预防应重点提高 nSES 并降低 PM 和噪声水平,同时认识到降低整体暴露可能会带来额外的益处。