Literature DB >> 28329091

Association Between Sleep Timing, Obesity, Diabetes: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Cohort Study.

Kristen L Knutson1, Donghong Wu2, Sanjay R Patel3, Jose S Loredo4, Susan Redline5, Jianwen Cai6, Linda C Gallo7, Yasmin Mossavar-Rahmani8, Alberto R Ramos9, Yanping Teng6, Martha L Daviglus2, Phyllis C Zee1.   

Abstract

Study
Objectives: Recent studies implicate inadequate sleep duration and quality in metabolic disease. Fewer studies have examined the timing of sleep, which may be important because of its potential impact on circadian rhythms of metabolic function. We examined the association between sleep timing and metabolic risk among Hispanic/Latino adults.
Methods: Cross-sectional data from community-based study of 13429 participants aged 18-74 years. People taking diabetic medications were excluded. Sleep timing was determined from self-reported bedtimes and wake times. Chronotype was defined as the midpoint of sleep on weekends adjusted for sleep duration on weekdays. Other measurements included body mass index (BMI), fasting glucose levels, estimated insulin resistance (HOMA-IR), glucose levels 2 hours post oral glucose ingestion, and hemoglobin A1c. Survey linear regression models tested associations between sleep timing and metabolic measures. Analyses were stratified by diabetes status and age-group when significant interactions were observed.
Results: Among participants with diabetes, fasting glucose levels were positively associated with bedtime (approximately +3%/hour later, p < .01) and midpoint of sleep (approximately +2%/hour later, p < .05). In participants with and without diabetes combined, HOMA-IR was positively associated with midpoint of sleep (+1.5%/hr later, p < .05), and chronotype (+1.2%/hour later, p < .05). Associations differed by age-group. Among those < 36 years, later sleep timing was associated with lower BMI, lower fasting glucose, and lower HbA1c, but the opposite association was observed among older participants. Conclusions: Later sleep timing was associated with higher estimated insulin resistance across all groups. Some associations between sleep timing and metabolic measures may be age-dependent. © Sleep Research Society 2017. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.

Entities:  

Keywords:  circadian.; diabetes; insulin resistance; sleep timing

Mesh:

Substances:

Year:  2017        PMID: 28329091      PMCID: PMC6410944          DOI: 10.1093/sleep/zsx014

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  27 in total

1.  Empirical derivation of cutoff values for the sleep health metric and its relationship to cardiometabolic morbidity: results from the Midlife in the United States (MIDUS) study.

Authors:  Ryan C Brindle; Lan Yu; Daniel J Buysse; Martica H Hall
Journal:  Sleep       Date:  2019-09-06       Impact factor: 5.849

2.  Impact of shift work schedules on actigraphy-based measures of sleep in Hispanic workers: results from the Hispanic Community Health Study/Study of Latinos ancillary Sueño study.

Authors:  Kathryn J Reid; Jia Weng; Alberto R Ramos; Phyllis C Zee; Martha Daviglus; Yasmin Mossavar-Rahmani; Daniela Sotres-Alvarez; Linda C Gallo; Diana A Chirinos; Sanjay R Patel
Journal:  Sleep       Date:  2018-10-01       Impact factor: 5.849

3.  Weekly sleep trajectories and their associations with obesity and hypertension in the Hispanic/Latino population.

Authors:  Jinsong Chen; Sanjay R Patel; Susan Redline; Ramon Durazo-Arvizu; Daniel B Garside; Kathryn J Reid; James Lash; Daniela Sotres-Alvarez; Linda C Gallo; Megan E Petrov; Krista M Perreira; Gregory A Talavera; Alberto R Ramos; Phyllis Zee; Martha L Daviglus
Journal:  Sleep       Date:  2018-10-01       Impact factor: 5.849

Review 4.  The epidemiology of sleep and obesity.

Authors:  Rachel P Ogilvie; Sanjay R Patel
Journal:  Sleep Health       Date:  2017-08-15

Review 5.  Sleep and Environmental Factors Affecting Glycemic Control in People with Type 2 Diabetes Mellitus.

Authors:  Anika Afroz-Hossain; Makeda Dawkins; Alyson K Myers
Journal:  Curr Diab Rep       Date:  2019-05-29       Impact factor: 4.810

Review 6.  Circadian disruption and human health: A bidirectional relationship.

Authors:  Sabra M Abbott; Roneil G Malkani; Phyllis C Zee
Journal:  Eur J Neurosci       Date:  2019-01-03       Impact factor: 3.386

7.  The association of sleep with metabolic pathways and metabolites: evidence from the Dietary Approaches to Stop Hypertension (DASH)-sodium feeding study.

Authors:  Vanessa L Z Gordon-Dseagu; Andriy Derkach; Qian Xiao; Ishmael Williams; Joshua Sampson; Rachael Z Stolzenberg-Solomon
Journal:  Metabolomics       Date:  2019-03-16       Impact factor: 4.290

8.  Sleep health, diseases, and pain syndromes: findings from an electronic health record biobank.

Authors:  Hassan S Dashti; Brian E Cade; Gerda Stutaite; Richa Saxena; Susan Redline; Elizabeth W Karlson
Journal:  Sleep       Date:  2021-03-12       Impact factor: 5.849

Review 9.  Genetic Ancestry for Sleep Research: Leveraging Health Inequalities to Identify Causal Genetic Variants.

Authors:  Bharati Prasad; Richa Saxena; Namni Goel; Sanjay R Patel
Journal:  Chest       Date:  2018-03-28       Impact factor: 9.410

10.  Sleep duration and type 2 diabetes risk: A prospective study in a population-based Mexican American cohort.

Authors:  Ivan Hc Wu; Natalia Heredia; Qiong Dong; Lorna H McNeill; Diwakar D Balachandran; Qian Lu; Shine Chang
Journal:  Sleep Health       Date:  2021-02-10
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