Associations between Sleep Characteristics and Cardiovascular Risk Factors in Adolescents Living with Type 1 Diabetes

J Clin Med. 2022 Sep 8;11(18):5295. doi: 10.3390/jcm11185295.

Abstract

Adolescents living with type 1 diabetes (T1D) have an increased risk of developing cardiovascular disease. Sleep patterns have physiological and behavioral impacts on diabetes outcomes. This study aimed to investigate the associations between sleep patterns and CVD risk factors in adolescents living with T1D and their peers living without T1D. This cross-sectional study assessed CVD risk factors and sleep characteristics (and their associations) in adolescents, aged 12-18 years, living with T1D (n = 48) and their peers (n = 19) without T1D. Outcomes included blood pressure, lipid profiles, and sleep characteristics (accelerometry). Statistical differences between groups were determined with chi-square or independent samples t-tests. The associations between sleep characteristics and CVD risk factors were assessed with multivariate linear regression analyses. We found no significant differences between the two groups in terms of sleep duration, efficiency, sleep onset and offset, and frequency of awakenings, and there were associations between sleep efficiency and LDL-C (β = -0.045, p = 0.018, model R2 = 0.230) and triglycerides (β = -0.027, p = 0.012, model R2 = 0.222) after adjusting confounders (diabetes status, sex, age, pubertal stage) in all participants. In conclusion, adolescents with T1D and without T1D sleep less than the recommended eight hours per night. The associations between sleep efficiency and LDL-C and triglycerides are independent of sleep duration, regardless of sex, age, and pubertal stage.

Keywords: cardiovascular health; sleep; type 1 diabetes.

Grants and funding

This research was supported by Kinesiology Graduate Student Research Grant (University of British Columbia), the Natural Sciences and Engineering Research Council of Canada (grant numbers NSERC RGPIN-2018-04613 and RGPIN-2020-06526), and the Canadian Institutes of Health Research (grant numbers CIHR IA5-156528, CIHR PJT-162105, and CIHR NEH-160647).