Evidence map›Paper›PMID 39697144›Full record

ArticleJMIR cancer2024

Demographics and Health Characteristics Associated With the Likelihood of Participating in Digitally Delivered Exercise Rehabilitation for Improving Heart Health Among Breast Cancer Survivors: Cross-Sectional Survey Study.

Tamara Jones, Lara Edbrooke, Jonathan C Rawstorn, Linda Denehy, Sandra Hayes, Ralph Maddison, Aaron L Sverdlov, Bogda Koczwara, Nicole Kiss, Camille E Short

Abstract read
In one paragraph

Article in JMIR cancer, 2024. 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
0cells of the map it votes in
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

10 authors.

Tamara JonesMelbourne Centre for Behaviour Change, Melbourne School of Psychological Sciences, The University of Melbourne, Redmond Barry Building, Tin Alley, Melbourne, 3010, Australia, 61 409498820.ORCID 0000-0002-4854-0968
Lara EdbrookeDepartment of Physiotherapy, Melbourne School of Health Sciences, The University of Melbourne, Melbourne, Australia.ORCID 0000-0002-4149-5578
Jonathan C RawstornInstitute for Physical Activity and Nutrition, Deakin University, Melbourne, Australia.ORCID 0000-0002-9755-7993
Linda DenehyDepartment of Physiotherapy, Melbourne School of Health Sciences, The University of Melbourne, Melbourne, Australia.ORCID 0000-0002-2926-8436
Sandra HayesCancer Council Queensland, Brisbane, Australia.ORCID 0000-0002-7005-5184
Ralph MaddisonInstitute for Physical Activity and Nutrition, Deakin University, Melbourne, Australia.ORCID 0000-0001-8564-5518
Aaron L SverdlovNewcastle Centre of Excellence in Cardio-Oncology, The University of Newcastle, Hunter Medical Research Institute, Calvary Mater Newcastle, Hunter New England Health, Newcastle, Australia.ORCID 0000-0003-2539-8038
Bogda KoczwaraFlinders Health and Medical Research Institute, Flinders University, Adelaide, Australia.ORCID 0000-0002-1201-1642
Nicole KissInstitute for Physical Activity and Nutrition, Deakin University, Melbourne, Australia.ORCID 0000-0002-6476-9834
Camille E ShortMelbourne Centre for Behaviour Change, Melbourne School of Psychological Sciences, The University of Melbourne, Redmond Barry Building, Tin Alley, Melbourne, 3010, Australia, 61 409498820.ORCID 0000-0002-4177-4251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Strong evidence supports the benefits of exercise following both cardiovascular disease and cancer diagnoses. However, less than one-third of Australians who are referred to exercise rehabilitation complete a program following a cardiac diagnosis. Technological advances make it increasingly possible to embed real-time supervision, tailored exercise prescription, behavior change, and social support into home-based programs. Objective: This study aimed to explore demographic and health characteristics associated with the likelihood of breast cancer survivors uptaking a digitally delivered cardiac exercise rehabilitation program and to determine whether this differed according to intervention timing (ie, offered generally, before, during, or after treatment). Secondary aims were to explore the knowledge of cardiac-related treatment side-effects, exercise behavior, additional intervention interests (eg, diet, fatigue management), and service fee capabilities. Methods: This cross-sectional study involved a convenience sample of breast cancer survivors recruited via social media. A self-reported questionnaire was used to collect outcomes of interests, including the likelihood of uptaking a digitally delivered cardiac exercise rehabilitation program, and demographic and health characteristics. Descriptive statistics were used to summarize sample characteristics and outcomes. Ordered logistic regression models were used to examine associations between demographic and health characteristics and likelihood of intervention uptake generally, before, during, and after treatment, with odds ratios (ORs) <0.67 or >1.5 defined as clinically meaningful and statistical significance a priori set at P≤.05. Results: A high proportion (194/208, 93%) of the sample (mean age 57, SD 11 years; median BMI=26, IQR 23-31 kg/m2) met recommended physical activity levels at the time of the survey. Living in an outer regional area (compared with living in a major city) was associated with higher odds of uptake in each model (OR 3.86-8.57, 95% CI 1.04-68.47; P=.01-.04). Receiving more cardiotoxic treatments was also associated with higher odds of general uptake (OR 1.42, 95% CI 1.02-1.96; P=.04). There was some evidence that a higher BMI, more comorbid conditions, and lower education (compared with university education) were associated with lower odds of intervention uptake, but findings differed according to intervention timing. Respondents identified the need for better education about the cardiotoxic effects of breast cancer treatment, and the desire for multifaceted rehabilitation interventions that are free or low cost (median Aus $10, IQR 10-15 per session; Aus $1=US $0.69 at time of study). Conclusions: These findings can be used to better inform future research and the development of intervention techniques that are critical to improving the delivery of a digital service model that is effective, equitable, and accessible, specifically, by enhancing digital inclusion, addressing general exercise barriers experienced by chronic disease populations, incorporating multidisciplinary care, and developing affordable delivery models.

Indexed as

Breast NeoplasmsCancer SurvivorsCardiac RehabilitationExercise TherapyAdultAgedAustraliaCross-Sectional StudiesFemaleHumansMiddle AgedSurveys and Questionnairesbreast cancercancer survivorcardiotoxicitycardiovascular diseasechronic diseasecross-sectional studydemographicdiagnosisdigital healthexerciseexercise rehabilitationheart carehome-based programpathologic processphysical phenomenaradiationrehabilitationstatistics

Identifiers

PMID39697144
PMCPMC11683507

What OpenQuestion holds

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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.