Evidence map›Paper›PMID 36613207›Full record

ArticleInternational journal of environmental research and public health2023

The Impact of Wearable Devices on Physical Activity for Chronic Disease Patients: Findings from the 2019 Health Information National Trends Survey.

Shiyuan Yu, Zhifeng Chen, Xiang Wu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 23 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Shiyuan YuSchool of Medicine and Health Management, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan 430030, China.ORCID 0000-0003-4596-4244
Zhifeng ChenSchool of Medicine and Health Management, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan 430030, China.ORCID 0000-0003-4537-6258
Xiang WuSchool of Medicine and Health Management, Huazhong University of Science & Technology, 13 Hangkong Road, Wuhan 430030, China.ORCID 0000-0001-8757-4442
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable devices are shown to be an advanced tool for chronic disease management, but their impacts on physical activity remain uninvestigated. This study aims to examine the effect of wearable devices on physical activity in general people and chronic patients.

methodsOur sample was from the third cycle of the fifth iteration of the Health Information National Trends Survey (HINTS), which includes a total of 5438 residents. Genetic matching was used to evaluate the effect of wearable devices on physical activity in different populations.

results(1) Both using wearable devices and using them with high frequency will improve physical activity for the whole population. (2) Wearable devices may have greater positive effects on physical activity for chronic patients. (3) Especially in patients with hypertension, high-frequency use of wearable devices can significantly improve the duration and frequency of physical activity.

conclusionsWearable devices lead to more physical activity, and the benefit is more noticeable for chronic patients, particularly those with hypertension.

Indexed as

HypertensionWearable Electronic DevicesChronic DiseaseExerciseHumansSurveys and Questionnaireschronic diseasephysical activityself-managementwearable devices

Identifiers

PMID36613207
PMCPMC9820171
OpenAlexW4313582614

What OpenQuestion holds

Textmetadata
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.