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. 2018 Oct 1;41(10):zsy150.
doi: 10.1093/sleep/zsy150.

Weekly sleep trajectories and their associations with obesity and hypertension in the Hispanic/Latino population

Jinsong Chen  1 , Sanjay R Patel  2 , Susan Redline  3 , Ramon Durazo-Arvizu  1 , Daniel B Garside  1 , Kathryn J Reid  4 , James Lash  1 , Daniela Sotres-Alvarez  5 , Linda C Gallo  6 , Megan E Petrov  7 , Krista M Perreira  5 , Gregory A Talavera  6 , Alberto R Ramos  8 , Phyllis Zee  4 , Martha L Daviglus  1
Affiliations

Weekly sleep trajectories and their associations with obesity and hypertension in the Hispanic/Latino population

Jinsong Chen et al. Sleep. .

Abstract

Study objectives: To identify weekly sleep trajectories (sleep pattern changing by day over a course of week) of specific characteristics and examine the associations between trajectory classes and obesity and hypertension.

Methods: A total of 2043 participants (mean age 46.9, 65.5% female) completed at least 7 days of actigraphy aged 18-64 from the Sueño ancillary study of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Weekly sleep trajectories for three daily level measures (wake after sleep onset [WASO], daytime napping duration, and intranight instability index) were identified using latent class growth models. The outcomes were obesity and hypertension.

Results: Using the trajectory with low-stable WASO as reference, the trajectory classes with increasing and high-concave patterns had significantly higher odds for obesity (OR 3.64 [1.23-10.84]) and hypertension (OR 5.25 [1.33, 20.82]), respectively. Compared with individuals with a low-stable napping duration trajectory, those with the high-concave pattern class were associated with hypertension (OR 2.27 [1.10-4.67]), and the association was mediated in part by obesity (OR 1.11 [1.00-1.22]). Individuals in the high intranight instability index trajectory had significantly larger likelihood for both obesity (OR 1.90 [1.26-2.86]) and hypertension (OR 1.86 [1.13-3.06]) compared with those in the low intranight instability index trajectory.

Conclusions: Weekly trajectories varied for WASO, daytime napping duration, and intranight instability index. The trajectories with relatively larger values for these three measures were associated with greater risk for obesity and hypertension. These findings suggest that a stable pattern with relatively small weekly and nightly variability may be beneficial for cardiovascular health.

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Figures

Figure 1.
Figure 1.
Weekly trajectory classes identified for the WASO (hr), and average of six sleep measures by weekday vs. weekends depending on trajectory classes. Solid circle with solid line: weekday average with 95% CI; open circle with dotted line: weekend average with 95% CI.
Figure 2.
Figure 2.
Weekly trajectory classes identified for the daytime napping duration (hr), and average of six sleep measures by weekday vs. weekends depending on trajectory classes. solid circle with solid line: weekday average with 95% CI; open circle with dotted line: weekend average with 95% CI.
Figure 3.
Figure 3.
Weekly trajectory classes identified for intranight instability index and average of six sleep measures by weekday vs. weekends depending on trajectory classes. Solid circle with solid line: weekday average with 95% CI; open circle with dotted line: weekend average with 95% CI.
See this image and copyright information in PMC

References

    1. Haba-Rubio J, et al. . Objective sleep structure and cardiovascular risk factors in the general population: the HypnoLaus Study. Sleep. 2015;38(3):391–400. - PMC - PubMed
    1. Ford ES, et al. . Associations between self-reported sleep duration and sleeping disorder with concentrations of fasting and 2-h glucose, insulin, and glycosylated hemoglobin among adults without diagnosed diabetes. J Diabetes. 2014;6(4):338–350. - PMC - PubMed
    1. Lecube A, et al. . Characterization of sleep breathing pattern in patients with Type 2 Diabetes: Sweet Sleep Study. PLoS One. 2015;10(3):doi: 10.1371/journal.pone.0119073. - DOI - PMC - PubMed
    1. Daviglus ML, et al. . Prevalence of major cardiovascular risk factors and cardiovascular diseases among Hispanic/Latino individuals of diverse backgrounds in the United States. JAMA. 2012;308(17):1775–1784. - PMC - PubMed
    1. Patel SR, et al. . Social and health correlates of sleep duration in a US Hispanic Population: Results from the Hispanic Community Health Study/Study of Latinos. Sleep. 2015;38(10):1515–1522. - PMC - PubMed

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