Literature DB >> 30663440

Relationships between chronotype, social jetlag, sleep, obesity and blood pressure in healthy young adults.

Daria M McMahon1, James B Burch1,2,3, Shawn D Youngstedt4,5, Michael D Wirth1,2,6, James W Hardin1, Thomas G Hurley2, Steven N Blair1,7, Gregory A Hand8, Robin P Shook9, Clemens Drenowatz7,10, Stephanie Burgess6, James R Hebert1,2.   

Abstract

Sleep disturbances, chronotype and social jetlag (SJL) have been associated with increased risks for major chronic diseases that take decades to develop, such as obesity, metabolic syndrome and cardiovascular disease. Potential relationships between poor sleep, chronotype and SJL as they relate to metabolic risk factors for chronic disease have not been extensively investigated. This prospective study examined chronotype, SJL and poor sleep in relation to both obesity and elevated blood pressure among healthy young adults. SJL and objective sleep measures (total sleep time, sleep onset latency, wake after sleep onset and sleep efficiency) were derived from personal rest/activity monitoring (armband actigraphy) among 390 healthy adults 21-35 years old. Participants wore the device for 6-10 days at 6-month intervals over a 2-year period (n = 1431 repeated observations). Chronotypes were categorized into morning, intermediate and evening groups using repeated measures latent class analysis. Means of SJL and sleep measures among latent chronotype groups were compared using partial F-tests in generalized linear mixed models. Generalized linear mixed models also were used to generate odds ratios (ORs) with 95% confidence intervals (CIs) examining the relationship between repeated measures of chronotype, SJL, sleep and concurrent anthropometric outcome measures (body mass index, percentage of body fat, waist-to-hip ratio, waist-to-height ratio), systolic blood pressure and diastolic blood pressure. Sleep latency ≥12 min was associated with increased odds of a high waist-to-height ratio (OR = 1.37; CI: 1.03-1.84). Neither chronotype nor SJL was independently associated with anthropometric outcomes or with blood pressure. Relationships between poor sleep and anthropometric outcomes or blood pressure varied by chronotype. Morning types with total sleep time <6 h, sleep efficiency <85% or wake after sleep onset ≥60 min were more likely to have an increased percentage of body fat, waist-to-hip ratio and waist-to-height ratio relative to those with an intermediate chronotype. Similarly, sleep latency ≥12 min was associated with increased odds of elevated systolic blood pressure (OR = 1.90; CI: 1.15-3.16, pinteraction = 0.02) among morning versus intermediate chronotypes. No relationships between poor sleep and obesity or elevated blood pressure were observed among evening chronotypes. The results from this study among healthy young adults suggest that poor sleep among morning types may be more strongly associated with obesity and elevated blood pressure relative to those with an intermediate (neutral) chronotype. Sleep-related metabolic alterations among different chronotypes warrant further investigation.

Entities:  

Keywords:  Actigraphy; body mass index; chronotype; repeated measures latent class analysis; sleep efficiency; social jetlag

Mesh:

Year:  2019        PMID: 30663440     DOI: 10.1080/07420528.2018.1563094

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  21 in total

1.  Changes in dietary inflammatory potential predict changes in sleep quality metrics, but not sleep duration.

Authors:  Michael D Wirth; Angela Jessup; Gabrielle Turner-McGrievy; Nitin Shivappa; Thomas G Hurley; James R Hébert
Journal:  Sleep       Date:  2020-11-12       Impact factor: 5.849

Review 2.  Sleep Regularity and Cardiometabolic Heath: Is Variability in Sleep Patterns a Risk Factor for Excess Adiposity and Glycemic Dysregulation?

Authors:  Faris M Zuraikat; Nour Makarem; Susan Redline; Brooke Aggarwal; Sanja Jelic; Marie-Pierre St-Onge
Journal:  Curr Diab Rep       Date:  2020-07-23       Impact factor: 4.810

3.  Persistent, High Levels of Social Jetlag Predict Poor Weight Outcomes in a Weight Gain Prevention Study for Young adults.

Authors:  Jacqueline F Hayes; Leah M Schumacher; Autumn Lanoye; Jessica Gokee LaRose; Deborah F Tate; Mark A Espeland; Amy A Gorin; Cora E Lewis; Elissa Jelalian; Rena R Wing
Journal:  J Behav Med       Date:  2022-07-16

4.  Evening chronotype is associated with severe NAFLD in obesity.

Authors:  Claudia Vetrani; Luigi Barrea; Ludovica Verde; Gerardo Sarno; Annamaria Docimo; Giulia de Alteriis; Silvia Savastano; Annamaria Colao; Giovanna Muscogiuri
Journal:  Int J Obes (Lond)       Date:  2022-06-08       Impact factor: 5.551

5.  Associations of chronotype and sleep patterns with metabolic syndrome in the Hispanic community health study/study of Latinos.

Authors:  Maryam Maghsoudipour; Matthew A Allison; Sanjay R Patel; Gregory A Talavera; Martha Daviglus; Phyllis C Zee; Kathryn J Reid; Nour Makarem; Atul Malhotra
Journal:  Chronobiol Int       Date:  2022-05-04       Impact factor: 3.749

Review 6.  Variability in Sleep Patterns: an Emerging Risk Factor for Hypertension.

Authors:  Nour Makarem; Faris M Zuraikat; Brooke Aggarwal; Sanja Jelic; Marie-Pierre St-Onge
Journal:  Curr Hypertens Rep       Date:  2020-02-21       Impact factor: 5.369

7.  Circadian rhythm phase shifts caused by timed exercise vary with chronotype.

Authors:  J Matthew Thomas; Philip A Kern; Heather M Bush; Kristen J McQuerry; W Scott Black; Jody L Clasey; Julie S Pendergast
Journal:  JCI Insight       Date:  2020-02-13

Review 8.  Sleep Apnea and Sleep Habits: Relationships with Metabolic Syndrome.

Authors:  Anne-Laure Borel
Journal:  Nutrients       Date:  2019-11-02       Impact factor: 5.717

9.  Social jetlag, eating behaviours and BMI among adolescents in the USA.

Authors:  Gina Marie Mathew; Lauren Hale; Anne-Marie Chang
Journal:  Br J Nutr       Date:  2020-05-28       Impact factor: 4.125

Review 10.  The Association between Chronotype and Dietary Pattern among Adults: A Scoping Review.

Authors:  Fatin Hanani Mazri; Zahara Abdul Manaf; Suzana Shahar; Arimi Fitri Mat Ludin
Journal:  Int J Environ Res Public Health       Date:  2019-12-20       Impact factor: 3.390

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