Rybnikova N A, Haim A, Portnov B A
Department of Natural Resources and Environmental Management, Faculty of Management, University of Haifa, Haifa, Israel.
The Israeli Center for Interdisciplinary Research in Chronobiology, University of Haifa, Haifa, Israel.
Int J Obes (Lond). 2016 May;40(5):815-23. doi: 10.1038/ijo.2015.255. Epub 2016 Jan 22.
Worldwide overweight and obesity rates are on the rise, with about 1 900 billion adults being defined as overweight and about 600 million adults being defined as obese by the World Health Organization (WHO). Increasing exposure to artificial light-at-night (ALAN) may influence body mass, by suppression of melatonin production and disruption of daily rhythms, resulting in physiological or behavioral changes in the human body, and may thus become a driving force behind worldwide overweight and obesity pandemic.
We analyzed most recent satellite images of night time illumination, available from the US Defense Meteorological Satellite Program (DMSP), combining them with country-level data on female and male overweight and obesity prevalence rates, reported by the WHO. The study aims to identify and measure the strength of association between ALAN and country-wide overweight and obesity rates, controlling for per capita GDP, level of urbanization, birth rate, food consumption and regional differences.
ALAN emerged as a statistically significant and positive predictor of overweight and obesity (t>1.97; P<0.05), helping to explain, together with other factors, about 70% of the observed variation of overweight and obesity prevalence rates among females and males in more than 80 countries worldwide. Regional differences in the strength of association between ALAN and excessive body mass are also noted.
This study is the first population-level study that confirms the results of laboratory research and cohort studies in which ALAN was found to be a contributing factor to excessive body mass in humans.
全球超重和肥胖率正在上升,世界卫生组织(WHO)将约19亿成年人定义为超重,约6亿成年人定义为肥胖。夜间人工光照(ALAN)暴露增加可能会影响体重,通过抑制褪黑素分泌和扰乱日常节律,导致人体生理或行为变化,因此可能成为全球超重和肥胖流行的一个驱动因素。
我们分析了美国国防气象卫星计划(DMSP)提供的最新夜间照明卫星图像,并将其与WHO报告的各国男女超重和肥胖患病率的国家级数据相结合。该研究旨在识别和衡量ALAN与全国超重和肥胖率之间的关联强度,同时控制人均国内生产总值、城市化水平、出生率、食物消费和地区差异。
ALAN成为超重和肥胖的一个具有统计学意义的正向预测因子(t>1.97;P<0.05),与其他因素一起,有助于解释全球80多个国家中观察到的男女超重和肥胖患病率变异的约70%。还注意到ALAN与超重之间关联强度的地区差异。
本研究是第一项在人群水平上证实实验室研究和队列研究结果的研究,这些研究发现ALAN是导致人类超重的一个因素。