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Timing and Intensity of Light Correlate with Body Weight in Adults
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 ye...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973603/ https://www.ncbi.nlm.nih.gov/pubmed/24694994 http://dx.doi.org/10.1371/journal.pone.0092251 |
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author | Reid, Kathryn J. Santostasi, Giovanni Baron, Kelly G. Wilson, John Kang, Joseph Zee, Phyllis C. |
author_facet | Reid, Kathryn J. Santostasi, Giovanni Baron, Kelly G. Wilson, John Kang, Joseph Zee, Phyllis C. |
author_sort | Reid, Kathryn J. |
collection | PubMed |
description | 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 (MLiT(500)) was defined as the average clock time of all aggregated data points above 500 lux. MLiT(500) 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 MLiT(500) and midpoint of sleep, MLiT(500) was a significant predictor of BMI (B = 1.26 SE = 0.34, β = 0.53 p = 0.001, r (2) (Δ) = 0.22). Adjusting for covariates, MLiT(500) remained an independent predictor of BMI (B = 1.28 SE = 0.36, β = 0.54, p = 0.002, r (2) (Δ) = 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. |
format | Online Article Text |
id | pubmed-3973603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39736032014-04-04 Timing and Intensity of Light Correlate with Body Weight in Adults Reid, Kathryn J. Santostasi, Giovanni Baron, Kelly G. Wilson, John Kang, Joseph Zee, Phyllis C. PLoS One Research Article 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 (MLiT(500)) was defined as the average clock time of all aggregated data points above 500 lux. MLiT(500) 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 MLiT(500) and midpoint of sleep, MLiT(500) was a significant predictor of BMI (B = 1.26 SE = 0.34, β = 0.53 p = 0.001, r (2) (Δ) = 0.22). Adjusting for covariates, MLiT(500) remained an independent predictor of BMI (B = 1.28 SE = 0.36, β = 0.54, p = 0.002, r (2) (Δ) = 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. Public Library of Science 2014-04-02 /pmc/articles/PMC3973603/ /pubmed/24694994 http://dx.doi.org/10.1371/journal.pone.0092251 Text en © 2014 Reid et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Reid, Kathryn J. Santostasi, Giovanni Baron, Kelly G. Wilson, John Kang, Joseph Zee, Phyllis C. Timing and Intensity of Light Correlate with Body Weight in Adults |
title | Timing and Intensity of Light Correlate with Body Weight in Adults |
title_full | Timing and Intensity of Light Correlate with Body Weight in Adults |
title_fullStr | Timing and Intensity of Light Correlate with Body Weight in Adults |
title_full_unstemmed | Timing and Intensity of Light Correlate with Body Weight in Adults |
title_short | Timing and Intensity of Light Correlate with Body Weight in Adults |
title_sort | timing and intensity of light correlate with body weight in adults |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973603/ https://www.ncbi.nlm.nih.gov/pubmed/24694994 http://dx.doi.org/10.1371/journal.pone.0092251 |
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