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Timing and Intensity of Light Correlate with Body Weight in Adults

Overview of attention for article published in PLOS ONE, April 2014
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Title
Timing and Intensity of Light Correlate with Body Weight in Adults
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0092251
Pubmed ID
Authors

Kathryn J. Reid, Giovanni Santostasi, Kelly G. Baron, John Wilson, Joseph Kang, Phyllis C. Zee

Abstract

Light exposure can influence sleep and circadian timing, both of which have been shown to influence weight regulation. The goal of this study was to evaluate the relationship between ambient light, sleep and body mass index. Participants included 54 individuals (26 males, mean age 30.6, SD = 11.7 years). Light levels, sleep midpoint and duration were measured with wrist actigraphy (Actiwatch-L) for 7 days. BMI was derived from self-reported height and weight. Caloric intake was determined from 7 days of food logs. For each participant, light and activity data were output in 2 minute epochs, smoothed using a 5 point (10 minute) moving average and then aggregated over 24 hours. The mean light timing above 500 lux (MLiT500) was defined as the average clock time of all aggregated data points above 500 lux. MLiT500 was positively correlated with BMI (r = 0.51, p<0.001), and midpoint of sleep (r = 0.47, p<0.01). In a multivariable linear regression model including MLiT500 and midpoint of sleep, MLiT500 was a significant predictor of BMI (B = 1.26 SE = 0.34, β = 0.53 p = 0.001, r2Δ = 0.22). Adjusting for covariates, MLiT500 remained an independent predictor of BMI (B = 1.28 SE = 0.36, β = 0.54, p = 0.002, r2Δ = 0.20). The full model accounted for 34.7% of the variance in BMI (p = 0.01). Exposure to moderate levels of light at biologically appropriate times can influence weight, independent of sleep timing and duration.

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Geographical breakdown

Country Count As %
Australia 2 1%
United Kingdom 2 1%
Canada 1 <1%
Russia 1 <1%
United States 1 <1%
Unknown 146 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 15%
Student > Master 20 13%
Researcher 17 11%
Student > Bachelor 15 10%
Student > Doctoral Student 11 7%
Other 34 22%
Unknown 33 22%
Readers by discipline Count As %
Medicine and Dentistry 25 16%
Agricultural and Biological Sciences 15 10%
Neuroscience 15 10%
Nursing and Health Professions 13 8%
Psychology 13 8%
Other 33 22%
Unknown 39 25%