Evidence map›Paper›PMID 32219516›Full record

ArticleJournal of cancer research and clinical oncology2020

Attitude of cancer patients from online self-help groups towards physical activity.

Imke Roth, Clara Dubois, Thorsten Schmidt, Jutta Hübner

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2020. 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. Perceptions of Knowledge and Experience in Nature-Based Health Interventions.International journal of environmental research and public health · 2024
    Article
  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

4 authors.

Imke RothKlinik für Innere Medizin, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Clara DuboisKlinik für Innere Medizin, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Thorsten SchmidtKrebszentrum Nord, CCC, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Arnold-Heller-Straße 3, Haus 14, 24105, Kiel, Germany.
Jutta HübnerKlinik für Innere Medizin, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany. jutta.huebner@med.uni-jena.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePhysical activity (PA) is important for cancer patients during and after therapy with respect to reducing side effects and improving quality of life. The aim of the study was to examine how physically active German cancer patients are and to identify predictors for PA. In addition, patients were asked about their attitude towards PA.

methodsA questionnaire was passed on to members of self-help groups. Multiple regression analyses were run to examine possible predictors such as self-efficacy, patient activation, gender, previous PA, therapy status, and age for PA.

results62% of the participants followed the official recommendations by the American Cancer Society for weekly aerobic activity. Multiple regression analyses could confirm age as a predictor for total PA. Higher self-efficacy and patient activation were associated with lower disease burden and a more positive attitude towards PA.

conclusionThis study contributes to the minor knowledge about PA among cancer patients. The examined group showed that there is potential for improvement regarding PA, although the majority had a positive attitude towards PA. Because of the small sample size existing of online self-help group members, results should be taken with caution.

Indexed as

Attitude to HealthExerciseOnline SystemsSelf-Help GroupsGermanyHumansNeoplasmsCancerPatient activationPhysical activityPredictorsSelf-efficacy

Identifiers

PMID32219516
PMCPMC7230047

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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.