Evidence map›Paper›PMID 35288797›Full record

ArticleMedical & biological engineering & computing2022

Agreement of the Apple Watch® and Fitbit Charge® for recording step count and heart rate when exercising in water.

Nicholas J Held, Andrew S Perrotta, Tyler Mueller, Selina J Pfoh-MacDonald

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Nicholas J HeldSchool of Health Sciences, St. Lawrence College, Kingston, ON, Canada. nheld9@gmail.com.ORCID http://orcid.org/0000-0002-5200-2994
Andrew S PerrottaDepartment of Kinesiology, Langara College, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0003-1482-8688
Tyler MuellerSchool of Health Sciences, St. Lawrence College, Kingston, ON, Canada.
Selina J Pfoh-MacDonaldSchool of Health Sciences, St. Lawrence College, Kingston, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the association and level of agreement between criterion methods and the Apple Watch 4® and Fitbit Charge 3® for recording step count and heart rate when exercising in water on an aquatic treadmill (ATM). Sixteen healthy participants (13 females and 3 males) volunteered to take part in this study. Participants were submerged in an ATM pool to the level of their xiphoid process and completed 3-min exercise bouts at intensities that corresponded to a comfortable walk, brisk walk, jog, and running. A Polar® T31 chest strap recorded heart rate (HR) and a high-definition digital camera was utilized for recording step count (SC). Significant associations (p < 0.001) were observed between criterion methods and the Apple® (HR: R

Indexed as

WaterWearable Electronic DevicesExerciseFemaleFitness TrackersHeart RateHumansMaleWaterBiofeedbackClinical exercise physiologyPhysical activityRehabilitationWearable technology

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.