ArticlePloS one2024
Impact of sleep quality and physical activity on blood pressure variability.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Systolic Blood Pressure Variability and Outcomes in Atrial Fibrillation: A Nationwide Population Study in Korea.Journal of Korean medical science · 2026Article
- Telemonitoring in the era of digital hypertension: beyond remote blood pressure monitoring.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Review
- Evaluation of a Contactless Sleep Monitoring Device for Sleep Stage Detection at Home in a Healthy Population: Prospective Study in Free-Living Conditions.JMIR human factors · 2026Article
- Associated Factors of Pre-Anesthesia Blood Pressure Elevation in Elective Non-Cardiac Surgical Patients: A Case-Control Study Comparing Two Diagnostic Thresholds.Risk management and healthcare policy · 2026Article
- The Level of Smartphone Addiction and Its Relationship to High Blood Pressure Among Middle-Aged and Elderly People in Rural Areas of China.Nature and science of sleep · 2026Article
- Bidirectional associations between sleep and physical activity investigated using large-scale objective monitoring data.Communications medicine · 2025Article
- Systolic blood pressure variability: risk of cardiovascular events, chronic kidney disease, dementia, and death.European heart journal · 2025Article
- Assessing the relationship between short-term blood pressure variability and glycation profile in young and middle-aged nondiabetic hypertensive individuals.Journal of hypertension · 2025Observational
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Increased blood pressure variability (BPV) is linked to cardiovascular disease and mortality, yet few modifiable BPV risk factors are known. We aimed to assess the relationship between sleep quality and activity level on longitudinal BPV in a cohort of community-dwelling adults (age ≥18) from 17 countries. Using Withings home measurement devices, we examined sleep quality and physical activity over one year, operationalized as mean daily step count and number of sleep interruptions, both transformed into tertiles. The primary study outcome was high BPV, defined as the top tertile of systolic blood pressure standard deviation. Our cohort comprised 29,375 individuals (mean age = 58.6 years) with 127.8±90.1 mean days of measurements. After adjusting for age, gender, country, body mass index, measurement days, mean blood pressure, and total time in bed, the odds ratio of having high BPV for those in the top tertile of sleep interruptions (poor sleep) was 1.37 (95% CI, 1.28-1.47) and 1.44 (95% CI, 1.35-1.54) for those in the lowest tertile of step count (physically inactive). Combining these exposures revealed a significant excess relative risk of 0.20 (95% CI, 0.04-0.35, p = 0.012), confirming their super-additive effect. Comparing individuals with the worst exposure status (lowest step count and highest sleep interruptions, n = 2,690) to those with the most optimal status (highest step count and lowest sleep interruptions, n = 3,531) yielded an odds ratio of 2.01 (95% CI, 1.80-2.25) for high BPV. Our findings demonstrate that poor sleep quality and physical inactivity are associated with increased BPV both independently and super-additively.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.