Dataset Information

The Lifestyle-Related Cardiovascular Risk Is Modified by Sleep Patterns.

ABSTRACT:

Objective

To prospectively assess whether sleep patterns modified lifestyle-associated cardiovascular disease (CVD) risk.

Patients and methods

This study included 393,690 participants without CVD at baseline measurements between March 13, 2006, and October 1, 2010, from UK Biobank. A lifestyle score was calculated on the basis of the 4 lifestyle factors (smoking, alcohol consumption, physical activity, and diet), and sleep patterns were constructed based on sleep duration, chronotype, insomnia, snoring, and daytime dozing.

Results

During a median follow-up of 8.93 years, we observed 10,218 incident CVD events, including 6595 myocardial infarctions (MIs) and 3906 strokes. We found that sleep patterns significantly modified the relations of the lifestyle score with incident CVD (P for interaction =.007) and MI (P for interaction =.004). Among participants with a poor sleep pattern, unfavorable lifestyle (per score increase) was associated with 25% (95% CI, 13% to 39%) and 29% (95% CI, 13% to 47%) increased risks for CVD and MI, while among participants with a healthy sleep pattern, unfavorable lifestyle was associated with 18% (95% CI, 15% to 21%) and 17% (95% CI, 13% to 21%) increased risks for CVD and MI.

Conclusion

Our results indicate that adherence to a healthy sleep pattern may attenuate the CVD risk associated with an unfavorable lifestyle.

SUBMITTER: Song Q

PROVIDER: S-EPMC8898293 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Lifestyle-Related Cardiovascular Risk Is Modified by Sleep Patterns.

Song Qiying Q Wang Mengying M Zhou Tao T Sun Dianjianyi D Ma Hao H Li Xiang X Heianza Yoriko Y Qi Lu L

Mayo Clinic proceedings 20220205 3

<h4>Objective</h4>To prospectively assess whether sleep patterns modified lifestyle-associated cardiovascular disease (CVD) risk.<h4>Patients and methods</h4>This study included 393,690 participants without CVD at baseline measurements between March 13, 2006, and October 1, 2010, from UK Biobank. A lifestyle score was calculated on the basis of the 4 lifestyle factors (smoking, alcohol consumption, physical activity, and diet), and sleep patterns were constructed based on sleep duration, chronot ...[more]

PMID: 35135690

Similar Datasets

Project description:Although evidence is accumulating on the importance of a good night's sleep for healthy eating and activity behaviors, existing research has mainly been conducted in high-income, developed countries with limited sociocultural variability. This study is the first to examine the associations between sleep patterns and lifestyle behaviors in children from 12 countries in five major geographic regions of the world.This observational, multinational cross-sectional study included 5777 children aged 9-11 years from sites in Australia, Brazil, Canada, China, Colombia, Finland, India, Kenya, Portugal, South Africa, the United Kingdom and the United States. Nocturnal sleep duration (hours per night), sleep efficiency (%) and bedtime (h:min) were monitored over 7 consecutive days using an accelerometer. Lifestyle behaviors included moderate-to-vigorous physical activity (MVPA), total sedentary time (SED), self-reported screen time (ST) and healthy/unhealthy diet patterns (HDP/UDP). Multilevel modeling analyses were used to account for the hierarchical nature of the data.Overall, participants averaged 8.8 (s.d. 0.9) hours of sleep with 96.2% (s.d. 1.4) sleep efficiency and a mean bedtime of 2218 hours. After adjustment for age, sex, highest parental education and BMI z-score, results showed that (i) sleep duration was negatively associated with MVPA, SED and UDP score; (ii) sleep efficiency was negatively associated with MVPA and UDP score, and positively associated with SED; and (iii) later bedtime was positively associated with SED, ST and UDP score, and negatively associated with MVPA and HDP score. Results using categories of sleep patterns were consistent with the linear associations. Results also revealed that associations between sleep patterns and MVPA, SED and ST were significantly different between study sites, with stronger associations in high-income countries compared with low/middle-income countries.Sleep characteristics are important correlates of lifestyle behaviors in children. Differences between countries suggest that interventions aimed at improving sleep and lifestyle behaviors should be culturally adapted.

Project description:Importance:Single self-reported measures of sleep duration are associated with adverse health outcomes; however, long-term patterns of self-reported sleep duration and their association with cardiovascular events (CVEs) and all-cause mortality remain unknown. Objective:To determine whether trajectories of long-term vs single-measure sleep duration are associated with subsequent risk of CVEs and all-cause mortality. Design, Setting, and Participants:The Kailuan study is a prospective, population-based cohort study that began in 2006. The present cohort included 52 599 Chinese adults without atrial fibrillation, myocardial infarction, stroke, or cancer to 2010. Trajectories in sleep duration from January 1, 2006, to December 31, 2010, were identified to investigate the association with risk of CVEs and all-cause mortality from January 1, 2010, to December 31, 2017. Data analysis was conducted from July 1 to October 31, 2019. Exposures:Habitual self-reported nocturnal sleep durations were collected in 2006, 2008, and 2010. Trajectories in sleep duration for 4 years were identified by latent mixture modeling. Main Outcomes and Measures:All-cause mortality and first incident CVEs (atrial fibrillation, myocardial infarction, and stroke) from 2010 to 2017 were confirmed by medical records. Based on the baseline sleep duration and patterns over time, 4 trajectories were categorized (normal stable, normal decreasing, low increasing, and low stable). Results:Of the 52 599 adults included in the study (mean [SD] age at baseline, 52.5 [11.8] years), 40 087 (76.2%) were male and 12 512 (23.8%) were female. Four distinct 4-year sleep duration trajectory patterns were identified: normal stable (range, 7.4 to 7.5 hours [n = 40 262]), normal decreasing (mean decrease from 7.0 to 5.5 hours [n = 8074]), low increasing (mean increase from 4.9 to 6.9 hours [n = 3384]), and low stable (range, 4.2 to 4.9 hours [n = 879]). During a mean (SD) follow-up of 6.7 (1.1) years, 2361 individuals died and 2406 had a CVE. Compared with the normal-stable pattern and adjusting for potential confounders, a low-increasing pattern was associated with increased risk of first CVEs (hazard ratio [HR], 1.22; 95% CI, 1.04-1.43), a normal-decreasing pattern was associated with increased risk of all-cause mortality (HR, 1.34; 95% CI, 1.15-1.57), and the low-stable pattern was associated with the highest risk of CVEs (HR, 1.47; 95% CI, 1.05-2.05) and death (HR, 1.50; 95% CI, 1.07-2.10). Conclusions and Relevance:In this study, sleep duration trajectories with lower or unstable patterns were significantly associated with increased risk of subsequent first CVEs and all-cause mortality. Longitudinal sleep duration patterns may assist in more precise identification of different at-risk groups for possible intervention. People reporting consistently sleeping less than 5 hours per night should be regarded as a population at higher risk for CVE and mortality.

Dataset Information

The Lifestyle-Related Cardiovascular Risk Is Modified by Sleep Patterns.

Objective

Patients and methods

Results

Conclusion

Publications

The Lifestyle-Related Cardiovascular Risk Is Modified by Sleep Patterns.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets