Published April 16, 2024 | Version v1
Journal article Open

Impact of sleep quality and physical activity on blood pressure variability

  • 1. Yale University
  • 2. Withings Inc.
  • 3. University of Chicago
  • 4. Massachusetts General Hospital
  • 5. University of Cincinnati

Description

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.

Data availability

The authors are unable to share minimal data for this study publicly due to third-party restrictions imposed by Withings (https://www.withings.com/us/en/). Data are freely available for research purposes upon request from Withings using the applicable form (https://form.typeform.com/to/QqIhO8). The authors did not have any special access privileges that others would not have when attempting to access the minimal data from Withings.

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Additional details

Identifiers

DOI
10.1371/journal.pone.0301631
Other
oai:uchicago.tind.io:11558

Funding

National Institute of Neurological Disorders and Stroke
K23NS105924
National Institute of Neurological Disorders and Stroke
UG3NS130228
National Institute of Neurological Disorders and Stroke
R01NS130189
National Institute of Neurological Disorders and Stroke
NIH-NINDS U01NS106513
National Institute of Neurological Disorders and Stroke
R01NS11072
National Institute of Neurological Disorders and Stroke
R01NR018335
National Institute of Neurological Disorders and Stroke
R01EB301114
National Institute of Neurological Disorders and Stroke
R01MD016178
National Institute of Neurological Disorders and Stroke
R03NS112859
National Institute of Neurological Disorders and Stroke
U24NS107215
National Institute of Neurological Disorders and Stroke
U24NS107136
National Institute of Neurological Disorders and Stroke
K23NS110980
National Institute of Neurological Disorders and Stroke
R21NS128641
American Heart Association
17CSA33550004

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Neurology