Evidence map›Paper›PMID 39141900›Full record

Observational studyJournal of medical Internet research2024

Association of Wearable Device-Measured Step Volume and Variability With Blood Pressure in Older Chinese Adults: Mobile-Based Longitudinal Observational Study.

Han Xiao, Zechen Zhou, Yujia Ma, Xiaoyi Li, Kexin Ding, Xiaotong Dai, Dafang Chen

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Han XiaoDepartment of Epidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0000-0002-6108-2789
Zechen ZhouDepartment of Epidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0000-0003-0390-9597
Yujia MaDepartment of Epidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0009-0007-3307-8874
Xiaoyi LiDepartment of Epidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0000-0001-6963-2178
Kexin DingDepartment of Epidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0000-0002-6206-4398
Xiaotong DaiSchool of Sport Science, Beijing Sport University, Beijing, China.ORCID 0000-0002-4310-1288
Dafang ChenDepartment of Epidemiology and Biostatistics, Peking University, Beijing, China.ORCID 0000-0001-8226-5413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe paucity of evidence on longitudinal and consecutive recordings of physical activity (PA) and blood pressure (BP) under real-life conditions and their relationships is a vital research gap that needs to be addressed.

objectiveThis study aims to (1) investigate the short-term relationship between device-measured step volume and BP; (2) explore the joint effects of step volume and variability on BP; and (3) examine whether the association patterns between PA and BP varied across sex, hypertension status, and chronic condition status.

methodsThis study used PA data of a prospective cohort of 3070 community-dwelling older adults derived from a mobile health app. Daily step counts, as a proxy of step volume, were derived from wearable devices between 2018 and 2022 and categorized into tertiles (low, medium, and high). Step variability was assessed using the SD of daily step counts. Consecutive daily step count recordings within 0 to 6 days preceding each BP measurement were analyzed. Generalized estimation equation models were used to estimate the individual and joint associations of daily step volume and variability with BP. Stratified analyses by sex, the presence of hypertension, and the number of morbidities were further conducted.

resultsA total of 3070 participants, with a median age of 72 (IQR 67-77) years and 71.37% (2191/3070) women, were included. Participants walked a median of 7580 (IQR 4972-10,653) steps and 5523 (IQR 3590-7820) meters per day for a total of 592,597 person-days of PA monitoring. Our results showed that higher levels of daily step volume were associated with lower BP (systolic BP, diastolic BP, mean arterial pressure, and pulse pressure). Compared with participants with low step volume (daily step counts <6000/d) and irregular steps, participants with high step volume (≥9500/d) and regular steps showed the strongest decrease in systolic BP (-1.69 mm Hg, 95% CI -2.2 to -1.18), while participants with medium step volume (6000/d to <9500/d) and regular steps were associated with the lowest diastolic BP (-1.067 mm Hg, 95% CI -1.379 to -0.755). Subgroup analyses indicated generally greater effects on women, individuals with normal BP, and those with only 1 chronic disease, but the effect pattern was varied and heterogeneous between participants with different characteristics.

conclusionsIncreased step volume demonstrated a substantial protective effect on BP among older adults with chronic conditions. Furthermore, the beneficial association between step volume and BP was enhanced by regular steps, suggesting potential synergistic protective effects of both increased step volume and step regularity. Targeting both step volume and variability through PA interventions may yield greater benefits in BP control, particularly among participants with hypertension and a higher chronic disease burden.

Indexed as

Blood PressureHypertensionWearable Electronic DevicesAgedAged, 80 and overChinaEast Asian PeopleExerciseFemaleHumansLongitudinal StudiesMaleMiddle AgedMobile ApplicationsProspective Studiesblood pressuremHealth appsmobile health appsmobile phoneolder adultsphysical activitystep variabilitystep volumewearable devices

Identifiers

PMID39141900
PMCPMC11358660

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.