Evidence map›Paper›PMID 35173975›Full record

ArticleDigital health

A cross-sectional study of physical activity participation among adults with chronic conditions participating in a digital health program.

Renae L Smith-Ray, Nima Nikzad, Tanya Singh, Jenny Z Jiang, Michael S Taitel, Giorgio Quer, Jean Cherry, Steven R Steinhubl

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Renae L Smith-RayWalgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.ORCID https://orcid.org/0000-0001-9642-7727
Nima NikzadDepartment of Digital Medicine, Scripps Translational Science Institute, La Jolla, California, USA.
Tanya SinghWalgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.
Jenny Z JiangWalgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.
Michael S TaitelWalgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.
Giorgio QuerDepartment of Digital Medicine, Scripps Translational Science Institute, La Jolla, California, USA.ORCID https://orcid.org/0000-0003-2208-7912
Jean CherryWalgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.
Steven R SteinhublDepartment of Digital Medicine, Scripps Translational Science Institute, La Jolla, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMany American adults are insufficiently active. Digital health programs are designed to motivate this population to engage in regular physical activity and often rely on wearable devices and apps to objectively measure physical activity for a large number of participants. The purpose of this epidemiological study was to analyze the rates of physical activity among participants in a digital health program.

methodWe conducted a cross-sectional study of participants enrolled in a digital health program between January 2014 and December 2016. All activity data were objectively collected through wearable devices.

resultsParticipants (

conclusionThe feasibility of using a large database containing data from consumer-grade activity trackers was demonstrated through this epidemiological study of physical activity rates across age and condition status of participants. The approach and findings described may inform future research as the information age brings about new opportunities to manage and study massive amounts of data generated by connected devices.

Indexed as

chronic diseasemobile technologiesphysical activityWearable devices

Identifiers

PMID35173975
PMCPMC8842328

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LicenceCC BY
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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.