Light at night and the risk of breast cancer: Findings from the Sister study.

Light at night and the risk of breast cancer: Findings from the Sister study.
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DOI:
10.1016/j.envint.2022.107495
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发表时间:
2022-11
影响因子:
11.8
通讯作者:
White, Alexandra J.
White, Alexandra J.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Sweeney, Marina R.;Nichols, Hazel B.;Jones, Rena R.;Olshan, Andrew F.;Keil, Alexander P.;Engel, Lawrence S.;James, Peter;Jackson, Chandra L.;Sandler, Dale P.;White, Alexandra J.

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夜间光照(LAN)可能通过昼夜节律紊乱改变雌激素调节。高水平的户外局域网可能会增加乳腺癌的风险,但研究在很大程度上没有考虑到相关环境暴露可能产生的残留混淆。我们评估了室内和室外局域网与乳腺癌发病率之间的关系。在47145名居住在美国附近的前瞻性姐妹研究队列参与者中,使用卫星测量的住宅数据确定室外局域网暴露情况,并自行报告室内局域网(开灯/电视,房间外的光,夜灯,无灯)。我们使用Cox比例风险模型来计算室外和室内局域网与乳腺癌风险之间的风险比(hr)和95%置信区间(CIs)。模型根据年龄、种族/民族、受教育程度、家庭年收入、社区劣势、纬度和人口密度作为城市化的代表进行了调整。为了通过与城市化相关的因素评估室外局域网与乳腺癌关系的潜在残留混淆,我们考虑进一步调整与室外局域网相关的暴露,包括NO2 [Spearman相关系数,ρ= 0.78], PM2.5 (ρ=0.36),绿地(ρ= - 0.41)和噪声(ρ=0.81)。在11年的随访中,发现了3734例乳腺癌病例。户外LAN与乳腺癌的高风险有轻微但非单调的相关性(四分位数vs一分位数:HR=1.10, 95% CI: 0.99-1.22;五分位数vs一分位数:HR=1.04, 95% CI: 0.93-1.16);然而,在调整相关环境暴露后,没有明显的关联(五分位数4对1:HR=0.99, 95% CI: 0.86-1.14;五分位数5对1:HR=0.89, 95% CI: 0.74-1.06)。与没有接触室内局域网的人相比,在调整后的模型中,开着灯或电视睡觉的风险比=1.09 (95% CI: 0.97-1.23)。在调整了相关的环境暴露后,户外局域网似乎不会增加乳腺癌的风险。
Light at night (LAN) may alter estrogen regulation through circadian disruption. High levels of outdoor LAN may increase breast cancer risk, but studies have largely not considered possible residual confounding from correlated environmental exposures. We evaluated the association between indoor and outdoor LAN and incident breast cancer. In 47,145 participants in the prospective Sister Study cohort living in the contiguous U.S., exposure to outdoor LAN was determined using satellite-measured residential data and indoor LAN was self-reported (light/TV on, light from outside the room, nightlight, no light). We used Cox proportional hazards models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between outdoor and indoor LAN and breast cancer risk. Models were adjusted for age, race/ethnicity, educational attainment, annual household income, neighborhood disadvantage, latitude, and population density as a proxy for urbanicity. To evaluate the potential for residual confounding of the outdoor LAN and breast cancer relationship by factors associated with urbanicity, we considered further adjustment for exposures correlated with outdoor LAN including NO2 [Spearman correlation coefficient, rho (ρ)=0.78], PM2.5 (ρ=0.36), green space (ρ=−0.41), and noise (ρ=0.81). During 11 years of follow-up, 3,734 breast cancer cases were identified. Outdoor LAN was modestly, but non-monotonically, associated with a higher risk of breast cancer (Quintile 4 vs. 1: HR=1.10, 95% CI: 0.99-1.22; Quintile 5 vs 1: HR=1.04, 95% CI: 0.93-1.16); however, no association was evident after adjustment for correlated ambient exposures (Quintile 4 vs. 1: HR=0.99, 95% CI: 0.86-1.14; Quintile 5 vs. 1: HR=0.89, 95% CI: 0.74-1.06). Compared to those with no indoor LAN exposure, sleeping with a light or TV on was associated with a HR=1.09 (95% CI: 0.97-1.23) in the adjusted model. Outdoor LAN does not appear to increase the risk of breast cancer after adjustment for correlated environmental exposures.
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