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Scientific article
Open access
English

What possibly affects nighttime heart rate? Conclusions from N-of-1 observational data

Published inDigital health, vol. 8, 53 p.
Publication date2022-08-24
First online date2022-08-24
Abstract

Background

Heart rate (HR), especially at nighttime, is an important biomarker for cardiovascular health. It is known to be influenced by overall physical fitness, as well as daily life physical or psychological stressors like exercise, insufficient sleep, excess alcohol, certain foods, socialization, or air travel causing physiological arousal of the body. However, the exact mechanisms by which these stressors affect nighttime HR are unclear and may be highly idiographic (i.e. individual-specific). A single-case or “ n-of-1” observational study (N1OS) is useful in exploring such suggested effects by examining each subject's exposure to both stressors and baseline conditions, thereby characterizing suggested effects specific to that individual.

Objective

Our objective was to test and generate individual-specific N1OS hypotheses of the suggested effects of daily life stressors on nighttime HR. As an N1OS, this study provides conclusions for each participant, thus not requiring a representative population.

Methods

We studied three healthy, nonathlete individuals, collecting the data for up to four years. Additionally, we evaluated model-twin randomization (MoTR), a novel Monte Carlo method facilitating the discovery of personalized interventions on stressors in daily life.

Results

We found that physical activity can increase the nighttime heart rate amplitude, whereas there were no strong conclusions about its suggested effect on total sleep time. Self-reported states such as exercise, yoga, and stress were associated with increased (for the first two) and decreased (last one) average nighttime heart rate.

Conclusions

This study implemented the MoTR method evaluating the suggested effects of daily stressors on nighttime heart rate, sleep time, and physical activity in an individualized way: via the N-of-1 approach. A Python implementation of MoTR is freely available.

eng
Keywords
  • Auto experimentation
  • causal inference
  • endogeneity
  • longitudinal
  • n-of-1 trial
  • nighttime heart rate
  • resting heart rate
  • self-reporting
  • stress
  • wearables
Funding
  • European Commission - Wellbeing and Health Virtual Coach [769765]
Citation (ISO format)
ALMEIDA MATIAS, Igor Alexandre, DAZA, Eric J., WAC, Katarzyna. What possibly affects nighttime heart rate? Conclusions from N-of-1 observational data. In: Digital health, 2022, vol. 8, p. 53 p. doi: 10.1177/20552076221120725
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Article (Published version)
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Identifiers
ISSN of the journal2055-2076
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Technical informations

Creation09/02/2022 7:30:00 PM
First validation09/02/2022 7:30:00 PM
Update time03/16/2023 7:27:16 AM
Status update03/16/2023 7:27:15 AM
Last indexation02/01/2024 8:42:22 AM
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