Evidence map›Paper›PMID 39633625›Full record

ArticleHealth promotion perspectives2024

Predictors of dropping out from a home tele-exercise programme: A cohort study derived from a randomised controlled trial.

Gustavo Yuki, Luiz Hespanhol, Lisa Mohr, Adelle Kemlall Bhundoo, David Jiménez-Pavón, Bernhard Novak, Stefano Nuccio, Jose Daniel Jiménez García, Julian David Pillay, Lorenzo Rum and 3 more

Abstract read
In one paragraph

Article in Health promotion perspectives, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

13 authors.

Gustavo YukiMasters and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo (UNICID), Sao Paulo, Brazil.ORCID https://orcid.org/0000-0003-1131-6265
Luiz HespanholDepartment of Physical Therapy, Faculty of Medicine, University of Sao Paulo (USP), Sao Paulo, Brazil.ORCID https://orcid.org/0000-0003-1774-4746
Lisa MohrDepartment of Sports Medicine and Exercise Physiology, Goethe University Frankfurt, Frankfurt/Main, Germany.
Adelle Kemlall BhundooDepartment of Basic Medical Sciences, Durban University of Technology, South Africa.
David Jiménez-PavónImFine Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid; Exercise is Medicine, Spain.
Bernhard NovakInstitute of Human Movement Science, Sport and Health, University of Graz, Austria.
Stefano NuccioDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
Jose Daniel Jiménez GarcíaImFine Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid; Exercise is Medicine, Spain.
Julian David PillayDepartment of Basic Medical Sciences, Durban University of Technology, South Africa.
Lorenzo RumDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
Celso Sánchez RamírezSciences of Physical Activity, Sports and Health School, University of Santiago of Chile (USACH), Chile.
Lutz VogtDepartment of Sports Medicine and Exercise Physiology, Goethe University Frankfurt, Frankfurt/Main, Germany.
Jan WilkeDepartment of Sports Medicine and Exercise Physiology, Goethe University Frankfurt, Frankfurt/Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Online home exercises represent opportunities to increase physical activity levels. However, high dropout rates are commonly reported in such programmes. This study aimed to investigate the predictors of dropping out from an online home exercise programme. Methods: A total of 760 individuals from nine countries participated in this 8-week prospective cohort study derived from a randomised controlled trial. The participants were randomised into "4-week live-streamed exercise ->4-week recorded exercise" or "4-week no intervention ->4-week recorded exercise" group. Repeated measurements using weekly questionnaires were performed. Pain intensity, disability, mental well-being score, exercise motivation, sleep quality, impulsiveness/anxiety, and physical activity level were analysed. Results: A total of 53.8% (95% confidence interval [CI] 50.3%-57.3%) participants dropped out from the programme. The identified predictors of dropping out from the programme were: well-being (odds ratio [OR] 0.94, 95% CI 0.91-0.97) and disability (OR 1.02, 95% CI 1.002-1.04) at baseline considering the first 4 weeks; age (0.98; 95% CI 0.96-1.00) and baseline well-being (0.93; 95% CI 0.89-0.97) considering the entire follow-up (8 weeks); exercise motivation (0.92; 95% CI 0.87 to 0.97) and general impulsiveness/anxiety (1.04; 95% CI 1.01-1.07) repeated measured over time. Conclusion: About half of the participants dropped out from the online home exercise programme. Higher baseline scores in mental well-being and age predicted a reduction in dropping out. Higher baseline disability predicted an increase in dropping out. During the follow-up, higher exercise motivation was associated with a reduction in dropping out, and higher impulsiveness and anxiety were associated with an increase in dropping out.

Indexed as

ExerciseHealth plan implementationImplementation scienceSocial isolationTelehealth

Identifiers

PMID39633625
PMCPMC11612349

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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.