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Mismatch of Sleep and Work Timing and Risk of Type 2 Diabetes

OBJECTIVE: To examine whether a mismatch between chronotype (i.e., preferred sleep timing) and work schedule is associated with type 2 diabetes risk. RESEARCH DESIGN AND METHODS: In the Nurses’ Health Study 2, we followed 64,615 women from 2005 to 2011. Newly developed type 2 diabetes was the outcom...

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Autores principales: Vetter, Céline, Devore, Elizabeth E., Ramin, Cody A., Speizer, Frank E., Willett, Walter C., Schernhammer, Eva S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4542269/
https://www.ncbi.nlm.nih.gov/pubmed/26109502
http://dx.doi.org/10.2337/dc15-0302
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author Vetter, Céline
Devore, Elizabeth E.
Ramin, Cody A.
Speizer, Frank E.
Willett, Walter C.
Schernhammer, Eva S.
author_facet Vetter, Céline
Devore, Elizabeth E.
Ramin, Cody A.
Speizer, Frank E.
Willett, Walter C.
Schernhammer, Eva S.
author_sort Vetter, Céline
collection PubMed
description OBJECTIVE: To examine whether a mismatch between chronotype (i.e., preferred sleep timing) and work schedule is associated with type 2 diabetes risk. RESEARCH DESIGN AND METHODS: In the Nurses’ Health Study 2, we followed 64,615 women from 2005 to 2011. Newly developed type 2 diabetes was the outcome measure (n = 1,452). A question on diurnal preference ascertained chronotype in 2009; rotating night shift work exposure was assessed regularly since 1989. RESULTS: Compared with intermediate chronotypes, early chronotypes had a slightly decreased diabetes risk after multivariable adjustment (odds ratio 0.87 [95% CI 0.77–0.98]), whereas no significant association was observed for late chronotypes (1.04 [0.89–1.21]). Among early chronotypes, risk of type 2 diabetes was modestly reduced when working daytime schedules (0.81 [0.63–1.04]) and remained similarly reduced in women working <10 years of rotating night shifts (0.84 [0.72–0.98]). After ≥10 years of shift work exposure, early chronotypes had a nonsignificant elevated diabetes risk (1.15 [0.81–1.63], P(trend) = 0.014). By contrast, among late chronotypes, the significantly increased diabetes risk observed among day workers (1.51 [1.13–2.02]) appeared largely attenuated if their work schedules included night shifts (<10 years: 0.93 [0.76–1.13]; ≥10 years: 0.87 [0.56–1.34]; P(trend) = 0.14). The interaction between chronotype and shift work exposure was significant (P(interaction) = 0.0004). Analyses restricting to incident cases revealed similar patterns. CONCLUSIONS: In early chronotypes, type 2 diabetes risk increased with increasing duration of shift work exposure, whereas late types had the highest diabetes risk working daytime schedules. These data add to the growing body of evidence that workers could benefit from shift schedules minimizing interference with chronotype-dependent sleep timing.
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spelling pubmed-45422692016-09-01 Mismatch of Sleep and Work Timing and Risk of Type 2 Diabetes Vetter, Céline Devore, Elizabeth E. Ramin, Cody A. Speizer, Frank E. Willett, Walter C. Schernhammer, Eva S. Diabetes Care Epidemiology/Health Services Research OBJECTIVE: To examine whether a mismatch between chronotype (i.e., preferred sleep timing) and work schedule is associated with type 2 diabetes risk. RESEARCH DESIGN AND METHODS: In the Nurses’ Health Study 2, we followed 64,615 women from 2005 to 2011. Newly developed type 2 diabetes was the outcome measure (n = 1,452). A question on diurnal preference ascertained chronotype in 2009; rotating night shift work exposure was assessed regularly since 1989. RESULTS: Compared with intermediate chronotypes, early chronotypes had a slightly decreased diabetes risk after multivariable adjustment (odds ratio 0.87 [95% CI 0.77–0.98]), whereas no significant association was observed for late chronotypes (1.04 [0.89–1.21]). Among early chronotypes, risk of type 2 diabetes was modestly reduced when working daytime schedules (0.81 [0.63–1.04]) and remained similarly reduced in women working <10 years of rotating night shifts (0.84 [0.72–0.98]). After ≥10 years of shift work exposure, early chronotypes had a nonsignificant elevated diabetes risk (1.15 [0.81–1.63], P(trend) = 0.014). By contrast, among late chronotypes, the significantly increased diabetes risk observed among day workers (1.51 [1.13–2.02]) appeared largely attenuated if their work schedules included night shifts (<10 years: 0.93 [0.76–1.13]; ≥10 years: 0.87 [0.56–1.34]; P(trend) = 0.14). The interaction between chronotype and shift work exposure was significant (P(interaction) = 0.0004). Analyses restricting to incident cases revealed similar patterns. CONCLUSIONS: In early chronotypes, type 2 diabetes risk increased with increasing duration of shift work exposure, whereas late types had the highest diabetes risk working daytime schedules. These data add to the growing body of evidence that workers could benefit from shift schedules minimizing interference with chronotype-dependent sleep timing. American Diabetes Association 2015-09 2015-06-24 /pmc/articles/PMC4542269/ /pubmed/26109502 http://dx.doi.org/10.2337/dc15-0302 Text en © 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
spellingShingle Epidemiology/Health Services Research
Vetter, Céline
Devore, Elizabeth E.
Ramin, Cody A.
Speizer, Frank E.
Willett, Walter C.
Schernhammer, Eva S.
Mismatch of Sleep and Work Timing and Risk of Type 2 Diabetes
title Mismatch of Sleep and Work Timing and Risk of Type 2 Diabetes
title_full Mismatch of Sleep and Work Timing and Risk of Type 2 Diabetes
title_fullStr Mismatch of Sleep and Work Timing and Risk of Type 2 Diabetes
title_full_unstemmed Mismatch of Sleep and Work Timing and Risk of Type 2 Diabetes
title_short Mismatch of Sleep and Work Timing and Risk of Type 2 Diabetes
title_sort mismatch of sleep and work timing and risk of type 2 diabetes
topic Epidemiology/Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4542269/
https://www.ncbi.nlm.nih.gov/pubmed/26109502
http://dx.doi.org/10.2337/dc15-0302
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