Evidence map›Paper›PMID 28270378›Full record

ArticleJournal of medical Internet research2017

Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument.

Yi Guo, Jiang Bian, Trevor Leavitt, Heather K Vincent, Lindsey Vander Zalm, Tyler L Teurlings, Megan D Smith, François Modave

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  9. Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2020
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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

8 authors.

Yi GuoInstitute of Natural Resources and Environmental Audits, Nanjing Audit University, Nanjing, China.ORCID 0000-0003-0587-4105
Jiang BianDepartment of Health Outcomes and Policy, University of Florida, Gainesville, FL, United States.ORCID 0000-0002-2238-5429
Trevor LeavittDepartment of Orthopaedics and Rehabilitation, University of Florida, Gainesville, FL, United States.ORCID 0000-0001-9926-1101
Heather K VincentDepartment of Orthopaedics and Rehabilitation, University of Florida, Gainesville, FL, United States.ORCID 0000-0003-3147-6426
Lindsey Vander ZalmDepartment of Orthopaedics and Rehabilitation, University of Florida, Gainesville, FL, United States.ORCID 0000-0002-4229-2086
Tyler L TeurlingsDepartment of Orthopaedics and Rehabilitation, University of Florida, Gainesville, FL, United States.ORCID 0000-0001-9712-1308
Megan D SmithDepartment of Health Outcomes and Policy, University of Florida, Gainesville, FL, United States.ORCID 0000-0003-2690-0667
François ModaveDepartment of Health Outcomes and Policy, University of Florida, Gainesville, FL, United States.ORCID 0000-0003-4366-0757

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

backgroundRegular physical activity can not only help with weight management, but also lower cardiovascular risks, cancer rates, and chronic disease burden. Yet, only approximately 20% of Americans currently meet the physical activity guidelines recommended by the US Department of Health and Human Services. With the rapid development of mobile technologies, mobile apps have the potential to improve participation rates in exercise programs, particularly if they are evidence-based and are of sufficient content quality.

objectiveThe goal of this study was to develop and test an instrument, which was designed to score the content quality of exercise program apps with respect to the exercise guidelines set forth by the American College of Sports Medicine (ACSM).

methodsWe conducted two focus groups (N=14) to elicit input for developing a preliminary 27-item scoring instruments based on the ACSM exercise prescription guidelines. Three reviewers who were no sports medicine experts independently scored 28 exercise program apps using the instrument. Inter- and intra-rater reliability was assessed among the 3 reviewers. An expert reviewer, a Fellow of the ACSM, also scored the 28 apps to create criterion scores. Criterion validity was assessed by comparing nonexpert reviewers' scores to the criterion scores.

resultsOverall, inter- and intra-rater reliability was high with most coefficients being greater than .7. Inter-rater reliability coefficients ranged from .59 to .99, and intra-rater reliability coefficients ranged from .47 to 1.00. All reliability coefficients were statistically significant. Criterion validity was found to be excellent, with the weighted kappa statistics ranging from .67 to .99, indicating a substantial agreement between the scores of expert and nonexpert reviewers. Finally, all apps scored poorly against the ACSM exercise prescription guidelines. None of the apps received a score greater than 35, out of a possible maximal score of 70.

conclusionsWe have developed and presented valid and reliable scoring instruments for exercise program apps. Our instrument may be useful for consumers and health care providers who are looking for apps that provide safe, progressive general exercise programs for health and fitness.

Indexed as

ExerciseData CollectionGuidelines as TopicHumansMobile ApplicationsReproducibility of ResultsSports MedicineUnited StatesmeasuresmHealthmobile appsphysical activity

Identifiers

PMID28270378
PMCPMC5360889

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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.