Literature DB >> 30442325

Associations between long self-reported sleep, obesity and insulin resistance in a cohort of premenopausal Black and White South African women.

Dale E Rae1, Paula R Pienaar2, Rob H P Henst2, Laura C Roden3, Julia H Goedecke4.   

Abstract

OBJECTIVES: South African women have disproportionately high levels of overweight and obesity, and ethnic differences in obesity and insulin resistance have been observed. We investigated associations between self-reported sleep duration, obesity and insulin resistance in Black and White South African women.
DESIGN: Cross-sectional. PARTICIPANTS: Black normal-weight (n = 122), Black obese (n = 133), White normal-weight (n = 87) and White obese (n = 63) urban South African women, aged 18 to 45y. MEASUREMENTS: Participants completed questionnaires capturing self-reported sleep duration, demographic, socioeconomic, medical history and lifestyle information. Body composition and fasting blood glucose and insulin concentrations were measured.
RESULTS: The Black women reported longer sleep than the White women (median: 8 h, interquartile range: 8-10 h v 7(7-8) respectively, P < .001). Adjusted models indicated that women sleeping <7 h sleep were less likely to be obese (P = .035) or insulin resistant (P = .032), while those sleeping >9 h were more likely to be insulin resistant (P = .014) than those sleeping 7 to 9 h. Shorter self-reported sleep was associated with less insulin resistance (<7 h v 7-9 h: P = .018) and longer sleep with more insulin resistance (>9 h v 7-9 h: P = .047) in the Black but not White women.
CONCLUSIONS: Future research that objectively measures sleep duration is needed to confirm these observations and investigate potential factors contributing to the relationship between sleep and risk for non-communicable diseases in different ethnic groups.
Copyright © 2018 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Body mass index; Ethnicity; Non-communicable disease; Self-reported sleep duration; Socioeconomic; Type 2 diabetes mellitus

Mesh:

Year:  2018        PMID: 30442325     DOI: 10.1016/j.sleh.2018.08.005

Source DB:  PubMed          Journal:  Sleep Health        ISSN: 2352-7218


  6 in total

1.  Associations between self-reported sleep duration and cardiometabolic risk factors in young African-origin adults from the five-country modeling the epidemiologic transition study (METS).

Authors:  Dale Elizabeth Rae; Lara Ruth Dugas; Laura Catherine Roden; Estelle Vicki Lambert; Pascal Bovet; Jacob Plange-Rhule; Terrence Forrester; Walter Riesen; Wolfgang Korte; Stephanie J Crowley; Sirimon Reutrakul; Amy Luke
Journal:  Sleep Health       Date:  2020-04-19

2.  Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.

Authors:  Ian Cook; Matlawa Mohlabe; Marianne Alberts
Journal:  BMC Res Notes       Date:  2020-07-01

3.  Intensity Matters for Musculoskeletal Health: A Cross-Sectional Study on Movement Behaviors of Older Adults from High-Income Scottish and Low-Income South African Communities.

Authors:  Ilaria Pina; Amy E Mendham; Simone A Tomaz; Julia H Goedecke; Lisa K Micklesfield; Naomi E Brooks; Iain J Gallagher; Rachel Crockett; Paul Dudchenko; Angus M Hunter
Journal:  Int J Environ Res Public Health       Date:  2021-04-19       Impact factor: 3.390

4.  Association of sleep quality with insulin resistance in obese or overweight subjects.

Authors:  Sima Hashemipour; Azam Ghorbani; Atoosa Khashayar; Hamideh Olfati
Journal:  Sleep Sci       Date:  2021 Jan-Mar

5.  Cross-sectional associations between mental health indicators and social vulnerability, with physical activity, sedentary behaviour and sleep in urban African young women.

Authors:  Catherine E Draper; Caylee J Cook; Stephanie Redinger; Tamsen Rochat; Alessandra Prioreschi; Dale E Rae; Lisa J Ware; Stephen J Lye; Shane A Norris
Journal:  Int J Behav Nutr Phys Act       Date:  2022-07-10       Impact factor: 8.915

6.  Physical Activity Behaviors of a Middle-Age South African Cohort as Determined by Integrated Hip and Thigh Accelerometry.

Authors:  Lisa K Micklesfield; Kate Westgate; Antonia Smith; Clement N Kufe; Amy E Mendham; Tim Lindsay; Katrien Wijndaele; Julia H Goedecke; Soren Brage
Journal:  Med Sci Sports Exerc       Date:  2022-04-22
  6 in total

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