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Author (up) Wyse, C.A.; Selman, C.; Page, M.M.; Coogan, A.N.; Hazlerigg, D.G. url  doi
openurl 
  Title Circadian desynchrony and metabolic dysfunction; did light pollution make us fat? Type Journal Article
  Year 2011 Publication Medical Hypotheses Abbreviated Journal Med Hypotheses  
  Volume 77 Issue 6 Pages 1139-1144  
  Keywords Human Health; Animals; Chronobiology Disorders/*complications/etiology; History, 20th Century; History, 21st Century; Humans; Lighting/*adverse effects/history/statistics & numerical data; Metabolic Diseases/*complications/etiology; Mice; *Models, Biological; Obesity/*epidemiology/*etiology; *Photoperiod; Rats  
  Abstract Circadian rhythms are daily oscillations in physiology and behaviour that recur with a period of 24h, and that are entrained by the daily photoperiod. The cycle of sunrise and sunset provided a reliable time cue for many thousands of years, until the advent of artificial lighting disrupted the entrainment of human circadian rhythms to the solar photoperiod. Circadian desynchrony (CD) occurs when endogenous rhythms become misaligned with daily photoperiodic cycles, and this condition is facilitated by artificial lighting. This review examines the hypothesis that chronic CD that has accompanied the availability of electric lighting in the developed world induces a metabolic and behavioural phenotype that is predisposed to the development of obesity. The evidence to support this hypothesis is based on epidemiological data showing coincidence between the appearance of obesity and the availability of artificial light, both geographically, and historically. This association links CD to obesity in humans, and is corroborated by experimental studies that demonstrate that CD can induce obesity and metabolic dysfunction in humans and in rodents. This association between CD and obesity has far reaching implications for human health, lifestyle and work practices. Attention to the rhythmicity of daily sleep, exercise, work and feeding schedules could be beneficial in targeting or reversing the modern human predisposition to obesity.  
  Address Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 3TZ, UK. c.wyse@abdn.ac.uk  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0306-9877 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:21983352 Approved no  
  Call Number LoNNe @ kagoburian @ Serial 837  
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Author (up) Zhang, D.; Jones, R.R.; Powell-Wiley, T.M.; Jia, P.; James, P.; Xiao, Q. url  doi
openurl 
  Title A large prospective investigation of outdoor light at night and obesity in the NIH-AARP Diet and Health Study Type Journal Article
  Year 2020 Publication Environmental Health : a Global Access Science Source Abbreviated Journal Environ Health  
  Volume 19 Issue 1 Pages 74  
  Keywords Human Health; Remote Sensing; Circadian rhythms; Light at night; Light pollution; Obesity  
  Abstract BACKGROUND: Research has suggested that artificial light at night (LAN) may disrupt circadian rhythms, sleep, and contribute to the development of obesity. However, almost all previous studies are cross-sectional, thus, there is a need for prospective investigations of the association between LAN and obesity risk. The goal of our current study was to examine the association between baseline LAN and the development of obesity over follow-up in a large cohort of American adults. METHODS: The study included a sample of 239,781 men and women (aged 50-71) from the NIH-AARP Diet and Health Study who were not obese at baseline (1995-1996). We used multiple logistic regression to examine whether LAN at baseline was associated with the odds of developing obesity at follow-up (2004-2006). Outdoor LAN exposure was estimated from satellite imagery and obesity was measured based on self-reported weight and height. RESULTS: We found that higher outdoor LAN at baseline was associated with higher odds of developing obesity over 10 years. Compared with the lowest quintile of LAN, the highest quintile was associated with 12% and 19% higher odds of developing obesity at follow-up in men (OR (95% CI) = 1.12 (1.00, 1.250)) and women (1.19 (1.04, 1.36)), respectively. CONCLUSIONS: Our findings suggest that high LAN exposure could predict a higher risk of developing obesity in middle-to-older aged American adults.  
  Address Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1476-069X ISBN Medium  
  Area Expedition Conference  
  Notes PMID:32611430; PMCID:PMC7329409 Approved no  
  Call Number GFZ @ kyba @ Serial 3029  
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