Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Pokfulam, Hong Kong Special Administrative Region, China.
Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Pokfulam, Hong Kong Special Administrative Region, China; School of Public Health, The University of Hong Kong, Patrick Manson Building, Sassoon Road, Pokfulam, Hong Kong Special Administrative Region, China.
Environ Res. 2020 Aug;187:109637. doi: 10.1016/j.envres.2020.109637. Epub 2020 May 12.
There is emerging evidence of the association between light at night (LAN) exposure and weight gain.
We aim to conduct a systematic review and meta-analysis of observational studies on the association between LAN exposure and risk of obesity in human subjects.
Peer-reviewed observational studies were systematically searched from MEDLINE (EBSCO), Academic Search Complete (EBSCO), CINAHL Plus (EBSCO) and PubMed up to December 24, 2019. Random-effects models were developed to estimate the associations between LAN exposure and weight-related outcomes of overweight and obesity as measured by body mass index (BMI), waist circumference, waist-hip-ratio and waist-to-height-ratio. The I statistic was used to assess the degree of heterogeneity across studies. The National Toxicology Program's Office of Health Assessment and Translation (OHAT) risk of bias rating tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) guideline were respectively employed to assess the risk of bias and to appraise the quality of the generated evidence.
A total of 12 studies (three with longitudinal and nine of cross-sectional design) published between 2003 and 2019 were included for systematic review, while seven of them fulfilling the inclusion/exclusion criteria were included in the meta-analysis. A higher LAN exposure was significantly associated with 13% higher odds of overweight (BMI≥25 kg/m) (Summary Odds Ratio; SOR: 1.13, 95% CI: 1.10-1.16) with low heterogeneity (I = 27.27%), and 22% higher odds of obesity (BMI≥30 kg/m) (SOR: 1.22, 95% CI: 1.07-1.38) with substantial heterogeneity (I = 85.96%). Stratifying analyses by the levels of measurement of LAN exposures (macro-, meso- and micro-levels) and time of LAN measurement (including before and while sleeping) consistently produced robust estimates, with higher exposure to LAN being positively associated with poorer weight outcomes. Assessment of risk of bias identified substantial detection bias for exposure, with over half of the pooled studies employing subjective LAN measures. The overall evidence of the association between LAN exposure and risk of obesity was rated as 'moderate' as per the GRADE guideline.
Exposure to LAN was reported to be a significant risk factor for overweight and obesity. Prospectively designed future studies with objectively measured multi-level LAN exposures and weight outcomes are required.
越来越多的证据表明,夜间光照(LAN)暴露与体重增加之间存在关联。
我们旨在对观察性研究进行系统评价和荟萃分析,以评估 LAN 暴露与人体肥胖风险之间的关系。
从 MEDLINE(EBSCO)、学术搜索全面(EBSCO)、CINAHL Plus(EBSCO)和 PubMed 系统地检索了同行评议的观察性研究,检索时间截至 2019 年 12 月 24 日。采用随机效应模型来估计 LAN 暴露与超重和肥胖相关指标(体重指数(BMI)、腰围、腰臀比和腰高比)之间的关联。采用 I 统计量评估研究间的异质性程度。分别采用国家毒理学计划办公室健康评估和转化(OHAT)偏倚风险评估工具和推荐评估、制定与评价(GRADE)指南来评估偏倚风险和生成证据的质量。
系统评价共纳入了 2003 年至 2019 年期间发表的 12 项研究(3 项为纵向设计,9 项为横断面设计),其中 7 项符合纳入/排除标准的研究被纳入荟萃分析。较高的 LAN 暴露与超重的几率增加 13%显著相关(BMI≥25kg/m)(综合优势比;SOR:1.13,95%CI:1.10-1.16),异质性较低(I=27.27%),肥胖的几率增加 22%(BMI≥30kg/m)(SOR:1.22,95%CI:1.07-1.38),异质性较大(I=85.96%)。根据 LAN 暴露水平(宏观、中观和微观水平)和 LAN 测量时间(包括睡眠前后)进行分层分析,结果始终稳健,LAN 暴露水平越高,体重越差。对暴露的偏倚风险评估发现,暴露的检测偏倚较大,有一半以上的汇总研究采用了主观的 LAN 测量方法。根据 GRADE 指南,LAN 暴露与肥胖风险之间的关联的总体证据被评为“中等”。
LAN 暴露被报道为超重和肥胖的一个显著危险因素。需要前瞻性设计未来的研究,采用客观测量的多层次 LAN 暴露和体重结局。