Evidence map›Paper›PMID 37467931›Full record

ArticleJournal of sport and health science2023

Effects of personalized exercise prescriptions and social media delivered through mobile health on cancer survivors' physical activity and quality of life.

Zan Gao, Suryeon Ryu, Wanjiang Zhou, Kaitlyn Adams, Mohamed Hassan, Rui Zhang, Anne Blaes, Julian Wolfson, Ju Sun

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of sport and health science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 5 pooled it
6.2field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 5 syntheses or guidelines pooled it, 27 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

9 authors at 1 institution in 1 country.

Zan GaoSchool of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA; Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN 37996, USA. Electronic address: zan@utk.edu.
Suryeon RyuSchool of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA.
Wanjiang ZhouSchool of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA.
Kaitlyn AdamsSchool of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA.
Mohamed HassanSchool of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA.
Rui ZhangDepartment of Pharmaceutical Care & Health Systems and Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA.
Anne BlaesDepartment of Hematology, School of Medicine, University of Minnesota, Minneapolis, MN 55455, USA.
Julian WolfsonSchool of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.
Ju SunDepartment of Computer Science & Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
University of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to examine the effects of a multi-component mobile health intervention (wearable, apps, and social media) on cancer survivors' (CS') physical activity (PA), quality of life, and PA determinants compared to exercise prescription only, social media only, and attention control conditions.

methodsA total of 126 CS (age = 60.37 ± 7.41 years, mean ± SD) were recruited from the United States. The study duration was 6 months and participants were randomly placed into 4 groups. All participants received a Fitbit tracker and were instructed to install its companion app to monitor their daily PA. They (1) received previously established weekly personalized exercise prescriptions via email, (2) received weekly Facebook health education and interacted with one another, (3) received both Conditions 1 and 2, or (4) were part of the control condition, meaning they adopted usual care. CS PA daily steps, quality of life (i.e., physical health and mental health), and PA determinants (e.g., self-efficacy, social support) were measured at baseline, 3 months, and 6 months.

resultsThe final sample size included 123 CS. The results revealed only the multi-component condition had greater improvements in PA daily steps than the control condition post-intervention (95% confidence interval (95%CI): 368-2951; p < 0.05). Similarly, those in the multi-component condition had significantly greater increased physical health than the control condition (95%CI: -0.41 to -0.01; p < 0.05) over time. In addition, the social media condition had significantly greater increased perceived social support than the control condition (95%CI: 0.01-0.93; p < 0.05). No other significant differences on outcomes were identified.

conclusionThe study findings suggest that the implementation of a multi-component mobile health intervention had positive effects on CS PA steps and physical health. Also, offering social media intervention has the potential to improve CS perceived social support.

Indexed as

Cancer SurvivorsNeoplasmsSocial MediaTelemedicineAgedExerciseHumansMiddle AgedQuality of LifeUnited StatesDaily stepsExercise appFitbitHealth wearablePhysical activity determinants

Identifiers

PMID37467931
PMCPMC10658306
OpenAlexW4384501681

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.