Objective sleep and cardiometabolic biomarkers: results from the community of mine study

Author:

Zamora Steven1,Full Kelsie M23ORCID,Ambeba Erica4,Savin Kimberly5ORCID,Crist Katie6,Natarajan Loki4,Sears Dorothy D7ORCID,Alismail Sarah8ORCID,Letellier Noémie1ORCID,Benmarhnia Tarik1ORCID,Jankowska Marta M8ORCID

Affiliation:

1. Department of Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, UCSD , La Jolla, CA , USA

2. Division of Epidemiology , , Nashville TN , USA

3. Department of Medicine, Vanderbilt University Medical Center , , Nashville TN , USA

4. Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego , La Jolla, CA , USA

5. San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, Department of Psychology, SDSU , San Diego, CA , USA

6. Urban Studies and Planning Department, San Diego University , San Diego, CA , USA

7. College of Health Solutions, Arizona State University , Phoenix, AZ , USA

8. Department of Population Sciences, Beckman Research Institute , Duarte, CA , USA

Abstract

Abstract Study Objectives Examining multiple dimensions of sleep health may better capture associations between sleep and health risks, including cardiometabolic disease (CMD). Hispanics have elevated risk for inadequate sleep and CMD biomarkers. Few studies have explored whether associations between sleep and CMD differ by Hispanic ethnicity. Methods Leveraging data from the Community of Mine (CoM) study, a cross-sectional investigation of 602 ethnically diverse participants, we derived accelerometer-measured sleep duration and efficiency, and self-reported sleep quality. Accelerometer-measured sleep exposures were analyzed both as continuous and categorical variables. Multivariate and quantile regression models were used to assess associations between sleep and CMD biomarkers (insulin resistance, systolic blood pressure, and low-density-lipoprotein cholesterol), controlling for age, sex, ethnicity, education, smoking status, and body mass index. We examined the potential effect modification of Hispanic ethnicity. Results We observed mixed results based on CMD biomarkers and sleep exposure. Increased sleep duration was significantly related to low-density lipoprotein cholesterol in adjusted models (estimate = 0.06; 95% CI: 0.02, 0.11). Poor sleep efficiency was associated with greater insulin resistance in the adjusted quantile (estimate = 0.20; 95% CI: 0.04, 0.36) model at the 90th percentile. Self-reported sleep quality was not associated with CMD outcomes. There was no evidence of effect modification by Hispanic ethnicity. Conclusions In this cohort, sleep health measures were found to have mixed and at times opposing effects on CMD outcomes. These effects did not demonstrate an interaction with Hispanic ethnicity.

Funder

National Cancer Institute

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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