Multidimensional Sleep and Cardiometabolic Risk Factors for Type 2 Diabetes: Examining Self-Report and Objective Dimensions of Sleep

被引：2
|
作者：
Matricciani, Lisa [1 ,2 ]
Paquet, Catherine [4 ,5 ,6 ]
Dumuid, Dorothea [2 ,3 ,7 ]
Lushington, Kurt [8 ]
Olds, Tim [2 ,7 ]
机构：
[1] Univ South Australia, Clin & Hlth Sci, Adelaide, SA, Australia
[2] Univ South Australia, Alliance Res Exercise Nutr & Act ARENA, Adelaide, SA, Australia
[3] Univ South Australia, Allied Hlth & Human Performance AHHP, Adelaide, SA, Australia
[4] Univ Laval, Fac Sci Adm, Quebec City, PQ, Canada
[5] Univ Laval, Ctr Nutr Sante & Soc NUTRISS, INAF, Quebec City, PQ, Canada
[6] Univ Laval, Ctr Rech, Ctr Hosp Univ Quebec, Quebec City, PQ, Canada
[7] Murdoch Childrens Res Inst, Parkville, Vic, Australia
[8] Univ South Australia, Discipline Psychol Justice & Soc Unit, Adelaide, SA, Australia
来源：
SCIENCE OF DIABETES SELF-MANAGEMENT AND CARE | 2022年 / 48卷 / 06期
基金：
英国医学研究理事会;
关键词：
AGED; 11-12; YEARS; POPULATION EPIDEMIOLOGY; CHILDRENS SLEEP; DURATION; HEALTH; QUALITY; METAANALYSIS; CONCORDANCE; INFLAMMATION; INDIVIDUALS;
D O I：
10.1177/26350106221137896
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Purpose: The purpose of the study was to determine the association between objective and self-report measures of sleep and cardiometabolic risk factors for type 2 diabetes. Methods: This study examines data on Australian adults, collected as part of the Child Health CheckPoint study. Sleep was examined in terms of actigraphy-derived sleep duration, timing, efficiency and variability; and self-report trouble sleeping. Cardiometabolic risk factors for type 2 diabetes were examined in terms of body mass index and biomarkers of inflammation and dyslipidemia. Generalized estimating equations, adjusted for geographic clustering, were used to determine the association between measures of sleep and cardiometabolic risk factors. Results: Complete case analysis was conducted for 1017 parents (87% mothers). Both objective and self-report measures of sleep were significantly but weakly associated with cardiometabolic risk factors. Conclusion: Both objective and self-report measures of sleep are significantly associated with cardiometabolic risk factors for type 2 diabetes. Self-report troubled sleep is associated with poorer cardiometabolic health, independent of actigraphy-derived sleep parameters.
引用
收藏
页码：533 / 545
页数：13
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