Evidence map›Paper›PMID 35289763›Full record

ArticleJMIR cardio2022

The Effect of Wearable Tracking Devices on Cardiorespiratory Fitness Among Inactive Adults: Crossover Study.

Lisbeth Hoejkjaer Larsen, Maja Hedegaard Lauritzen, Mikkel Sinkjaer, Troels W Kjaer

Abstract read
In one paragraph

Article in JMIR cardio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Lisbeth Hoejkjaer LarsenDepartment of Neurology, Zealand University Hospital, Roskilde, Denmark.ORCID https://orcid.org/0000-0002-1876-9876
Maja Hedegaard LauritzenDepartment of Neurology, Zealand University Hospital, Roskilde, Denmark.ORCID https://orcid.org/0000-0002-9438-0459
Mikkel SinkjaerDepartment of Neurology, Zealand University Hospital, Roskilde, Denmark.ORCID https://orcid.org/0000-0003-2355-7365
Troels W KjaerDepartment of Neurology, Zealand University Hospital, Roskilde, Denmark.ORCID https://orcid.org/0000-0002-2105-6199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModern lifestyle is associated with a high prevalence of physical inactivity.

objectiveThis study aims to investigate the effect of a wearable tracking device on cardiorespiratory fitness among inactive adults and to explore if personal characteristics and health outcomes can predict adoption of the device.

methodsIn total, 62 inactive adults were recruited for this study. A control period (4 weeks) was followed by an intervention period (8 weeks) where participants were instructed to register and follow their physical activity (PA) behavior on a wrist-worn tracking device. Data collected included estimated cardiorespiratory fitness, body composition, blood pressure, perceived stress levels, and self-reported adoption of using the tracking device.

resultsIn total, 50 participants completed the study (mean age 48, SD 13 years, 84% women). Relative to the control period, participants increased cardiorespiratory fitness by 1.52 mL/kg/minute (95% CI 0.82-2.22; P<.001), self-reported PA by 140 minutes per week (95% CI 93.3-187.1; P<.001), daily step count by 982 (95% CI 492-1471; P<.001), and participants' fat percentage decreased by 0.48% (95% CI -0.84 to -0.13; P=.009). No difference was observed in blood pressure (systolic: 95% CI -2.16 to 3.57, P=.63; diastolic: 95% CI -0.70 to 2.55; P=.27) or perceived stress (95% CI -0.86 to 1.78; P=.49). No associations were found between adoption of the wearable tracking device and age, gender, personality, or education. However, participants with a low perceived stress at baseline were more likely to rate the use of a wearable tracking device highly motivating.

conclusionsTracking health behavior using a wearable tracking device increases PA resulting in an improved cardiorespiratory fitness among inactive adults.

Indexed as

activity trackingbehavior changecardiocardiorespiratorycardiorespiratory fitnessfitnessmHealthmobile healthmotivationphysical activityself-monitoringwearable

Identifiers

PMID35289763
PMCPMC8965682

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Registered trials

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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.