School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
School of Medicine, Southern University of Science and Technology, Shenzhen, China.
JAMA Netw Open. 2024 Nov 4;7(11):e2446156. doi: 10.1001/jamanetworkopen.2024.46156.
Understanding the outcomes of artificial light at night (ALAN) on insomnia is crucial for public health, particularly in rapidly urbanizing regions. However, evidence of the association between ALAN exposure and insomnia is limited, despite the large number of people exposed to ALAN.
To explore the association between outdoor ALAN exposure and insomnia among the Chinese population.
DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used social media data from Weibo (Sina), a social media platform, and satellite-derived nighttime light images. The study period spans from May 2022 to April 2023. The study encompasses 336 cities across China's mainland, providing a comprehensive national perspective. Data include insomnia-related posts from the platform users, representing a large and diverse population sample exposed to varying levels of ALAN.
Outdoor ALAN exposure (in nanowatts per centimeters squared per steradian [nW/cm2/sr]) was measured using satellite-derived nighttime light images at a spatial resolution of 500 m.
The incidence of insomnia among residents at the city level was measured by the number of insomnia-related posts on social media. Multiple linear regression models were used to estimate the association between ALAN exposure and population insomnia, adjusting for population characteristics and meteorological factors at the city level.
The study included data from 1 147 583 insomnia-related posts. Daily mean ALAN exposure across the 336 cities ranged from 3.1 to 221.0 nW/cm2/sr. For each 5 nW/cm2/sr increase in ALAN exposure, the incidence of insomnia increased by 0.377% (95% CI, 0.372%-0.382%). The association was greater in less populated cities and under extreme temperature and poor air quality conditions. The observed exposure-response functions between ALAN exposure and insomnia demonstrated an upward trend, with steeper slopes observed at low exposures and leveling off at higher exposures.
This study provides evidence of the association between increased ALAN exposure and higher incidence of insomnia. These findings expand the current knowledge on adverse health outcomes of ALAN exposure and emphasize the potential health benefits of well-planned artificial nighttime lighting in China and other developing countries in the early stages of city planning.
了解人造光对夜间(ALAN)对失眠的影响对公共健康至关重要,特别是在快速城市化的地区。然而,尽管有大量的人暴露在 ALAN 下,但是有关 ALAN 暴露与失眠之间关联的证据有限。
探索中国人群中户外 ALAN 暴露与失眠之间的关系。
设计、地点和参与者:这项横断面研究使用了社交媒体平台新浪微博(Sina)上的社交媒体数据和卫星衍生的夜间灯光图像。研究期间为 2022 年 5 月至 2023 年 4 月。该研究涵盖了中国大陆的 336 个城市,提供了一个全面的全国视角。数据包括平台用户的与失眠相关的帖子,代表了一个暴露于不同水平的 ALAN 的大量和多样化的人群样本。
使用卫星衍生的夜间灯光图像以 500m 的空间分辨率测量户外 ALAN 暴露(每平方厘米每立体角毫瓦数 [nW/cm2/sr])。
通过社交媒体上与失眠相关的帖子数量来衡量城市居民的失眠发生率。使用多元线性回归模型估计 ALAN 暴露与人群失眠之间的关系,调整城市层面的人口特征和气象因素。
研究包括 1147583 条与失眠相关的帖子。336 个城市的每日平均 ALAN 暴露范围从 3.1 到 221.0 nW/cm2/sr。每增加 5nW/cm2/sr 的 ALAN 暴露,失眠的发生率增加 0.377%(95%CI,0.372%-0.382%)。在人口较少的城市和极端温度和空气质量较差的条件下,这种关联更大。观察到的 ALAN 暴露与失眠之间的暴露反应关系呈上升趋势,在低暴露水平下斜率较大,在高暴露水平下趋于平稳。
这项研究提供了证据表明,增加的 ALAN 暴露与更高的失眠发生率之间存在关联。这些发现扩展了关于 ALAN 暴露对不良健康后果的现有知识,并强调了在中国和其他发展中国家在城市规划早期阶段进行合理规划的人工夜间照明的潜在健康益处。