Evidence map›Paper›PMID 39066055›Full record

ArticleSensors (Basel, Switzerland)2024

Apple Watch 6 vs. Galaxy Watch 4: A Validity Study of Step-Count Estimation in Daily Activities.

Kyu-Ri Hong, In-Whi Hwang, Ho-Jun Kim, Seo-Hyung Yang, Jung-Min Lee

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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. Article
  3. Observational
  4. Article
  5. 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

5 authors.

Kyu-Ri HongDepartment of Physical Education, Graduate School of Education, Kyung Hee University, Yongin-si 17014, Republic of Korea.ORCID 0009-0004-6233-5292
In-Whi HwangDepartment of Sports Medicine and Science, Graduate School of Physical Education, Kyung Hee University, Yongin-si 17014, Republic of Korea.ORCID 0009-0001-0900-5751
Ho-Jun KimDepartment of Physical Education, College of Physical Education, Kyung Hee University, Yongin-si 17014, Republic of Korea.
Seo-Hyung YangSchool of Global Sport Studies, Korea University, 2511 Sejong-ro, Sejong City 30019, Republic of Korea.
Jung-Min LeeSports Science Research Center, Global Campus, Kyung Hee University, Yongin-si 17014, Republic of Korea.ORCID 0000-0002-8033-0725

Funding

Kyung Hee University KHU-20220924
6 · The paper itself

Abstract

The purpose of this study was to examine the validity of two wearable smartwatches (the Apple Watch 6 (AW) and the Galaxy Watch 4 (GW)) and smartphone applications (Apple Health for iPhone mobiles and Samsung Health for Android mobiles) for estimating step counts in daily life. A total of 104 healthy adults (36 AW, 25 GW, and 43 smartphone application users) were engaged in daily activities for 24 h while wearing an ActivPAL accelerometer on the thigh and a smartwatch on the wrist. The validities of the smartwatch and smartphone estimates of step counts were evaluated relative to criterion values obtained from an ActivPAL accelerometer. The strongest relationship between the ActivPAL accelerometer and the devices was found for the AW (r = 0.99,

Indexed as

AccelerometryActivities of Daily LivingMobile ApplicationsSmartphoneWearable Electronic DevicesAdultFemaleHumansMaleMiddle AgedMonitoring, AmbulatoryWalkingYoung AdultActivPALApple Watch 6Galaxy Watch 4step countswearable devices

Identifiers

PMID39066055
PMCPMC11281039

What OpenQuestion holds

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LicenceCC BY
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.