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July 11, 2025PLoS ONEOpen Access

Associations of sleep pattern, sleep duration, bedtime, rising time and cardiovascular disease: Data from NHANES (2017–2020)

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Key result

Poor sleep patterns linked to ~141% higher HF risk, alongside increased MI and stroke.

  • OR 2.41
  • 95% CI 1.25-4.62
  • P<0.05
  • n=8,075

Why the study?

Sleep significantly impacts the incidence of cardiovascular disease, but comprehensive research on this topic is lacking.

Are poor sleep patterns, abnormal sleep duration, and sleep timing associated with an increased prevalence of cardiovascular diseases?

Population

8,075 subjects from NHANES 2017-2020

Comparison

Healthy vs intermediate vs poor sleep patterns, sleep duration, bedtime, and rising time

Design

Nationally representative survey study

Authors

DWDongling WangJLJiangang Liu

Discussion

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Overview

Sleep evaluation may refine CVD risk assessment; leaves open causality and intervention benefits in this observational analysis.

Study Design

Type

Cross-Sectional (n=8,075)

Structured PICO

Are poor sleep patterns, abnormal sleep duration, and sleep timing associated with an increased prevalence of cardiovascular diseases?

P
Population
8,075 participants from the NHANES 2017-2020 survey were evaluated to assess the association between comprehensive sleep behaviors and the prevalence of cardiovascular diseases.
E
Exposure
Poor sleep patterns (scored 9-12 based on abnormal sleep duration, trouble sleeping, snoring, snort or stop breathing, sleepy during day), sleep duration, bedtime, and rising time
C
Comparator
Healthy sleep patterns (scored 0-4) and optimal sleep duration/timing
O
Outcome
Prevalence of cardiovascular diseases (heart failure, myocardial infarction, stroke, and hypertension)hard clinical

Main Result

Odds Ratio: 2.41 (95% CI 1.25–4.62)

p-value: p=<0.05

Poor sleep patterns and abnormal sleep durations are significantly associated with an increased prevalence of cardiovascular diseases, highlighting the importance of sleep hygiene in cardiovascular prevention.

Limitations

  • Cross-sectional design precludes establishing causal relationships between sleep patterns and cardiovascular diseases.
  • Reliance on self-reported sleep data and cardiovascular disease history may introduce recall bias.
  • Exclusion of participants with missing data could lead to selection bias.

Cite This Study

Wang et al. (2025) conducted a cross-sectional in Cardiovascular diseases (n=8,075). Poor sleep pattern vs. Healthy sleep pattern was evaluated on Heart failure (OR 2.41, 95% CI 1.25-4.62, p=<0.05). Poor sleep patterns were significantly associated with an increased risk of heart failure (OR 2.41), myocardial infarction (OR 2.14), and stroke (OR 2.23) compared to healthy sleep patterns.

synapsesocial.com/papers/6aa92ecedf41e3f51602c76ehttps://doi.org/10.1371/journal.pone.0326499
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Sleep and risk of hypertension in general American adults: the National Health and Nutrition Examination Surveys (2015–2018)2022 · 19 citations
  2. 2Association of Sleep Duration and Cardio-Ankle Vascular Index in Community-Dwelling Older Adults2022 · 7 citations
  3. 3Acute sleep deprivation increases inflammation and aggravates heart failure after myocardial infarction2022 · 14 citations
  4. 4Association of Sleep Duration, Napping, and Sleep Patterns With Risk of Cardiovascular Diseases: A Nationwide Twin Study2022 · 59 citations
  5. 5Sleep and physical activity in relation to all-cause, cardiovascular disease and cancer mortality risk2021 · 364 citations