Evidence map›Paper›PMID 36582382›Full record

ArticleFrontiers in public health2022

Accuracy of steps measured by smartphones-based WeRun compared with ActiGraph-GT3X accelerometer in free-living conditions.

Qinqin Yao, Jing Wang, Yucong Sun, Li Zhang, Shuangyuan Sun, Minna Cheng, Qinping Yang, Siyuan Wang, Ling Huang, Tao Lin and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Qinqin YaoKey Lab of Public Health Safety of the Ministry of Education, School of Public Health, Fudan University, Shanghai, China.
Jing WangShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Yucong SunWinning Ringnex Technology (Shanghai) Co., Ltd., Shanghai, China.
Li ZhangShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Shuangyuan SunShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Minna ChengShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Qinping YangShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Siyuan WangShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Ling HuangShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Tao LinShanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Yingnan JiaKey Lab of Public Health Safety of the Ministry of Education, School of Public Health, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The purpose of this study was to evaluate the accuracy and reliability of steps tracked by smartphone-based WeChat app compared with Actigraph-GT3X accelerometer in free-living conditions. Design: A cross-sectional study and repeated measures. Methods: A total of 103 employees in the Pudong New Area of Shanghai, China, participated in this study. The participants wore an ActiGraph-GT3X accelerometer during the period of August to September 2019 (Time 1), December 2019 (Time 2) and September 2020 (Time 3). Each time, they wore the ActiGraph-GT3X accelerometer continuously for 7 days to assess their 7-day step counts. The smartphone-based WeRun step counts were collected in the corresponding period when subjects wore accelerometers. The subjects were invited to complete basic demographic characteristics questionnaires and to perform physical examination to obtain health-related results such as height, body weight, body fat percentage, waist circumference, hip circumference, and blood pressure. Results: Based on 103 participants' 21 days of data, we found that the Spearman correlation coefficient between them was 0.733 ( Conclusions: The smartphone-based WeChat app can be used to assess physical activity step counts and is a reliable tool for measuring steps in free-living conditions. However, WeRun step counts' utilization is potentially limited in predicting body composition.

Indexed as

AccelerometrySmartphoneChinaCross-Sectional StudiesFemaleHumansMaleReproducibility of ResultsSocial ConditionsActiGraph-GT3X accelerometer stepsfree-living conditionshealth-related outcomesmoderate-to-vigorous intensity physical activityWeChat steps

Identifiers

PMID36582382
PMCPMC9792497

What OpenQuestion holds

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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.