Evidence map›Paper›PMID 29423679›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2018

Predictors of enrollment in individual- and couple-based lifestyle intervention trials for cancer survivors.

Emily Cox-Martin, Jaejoon Song, Wendy Demark-Wahnefried, Elizabeth J Lyons, Karen Basen-Engquist

Abstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2018. 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

5 authors.

Emily Cox-MartinDivision of Medical Oncology, School of Medicine, University of Colorado Anschutz Medical Campus, 12801 E 17th Ave, Aurora, CO, 80045, USA. Emily.Cox-Martin@ucdenver.edu.ORCID http://orcid.org/0000-0002-2011-3905
Jaejoon SongDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, P.O. Box 301402, Houston, TX, 77230-1402, USA.
Wendy Demark-WahnefriedDepartment of Nutrition Sciences, University of Alabama at Birmingham, 1675 University Blvd, Birmingham, AL, 35233, USA.
Elizabeth J LyonsDepartment of Nutrition and Metabolism, The University of Texas Medical Branch, 301 University Boulevard, Galveston, TX, 77555-1124, USA.
Karen Basen-EngquistDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Unit 1330, P.O. Box 301439, Houston, TX, 77230-1439, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
NCI NIH HHS P30 CA016672NIDDK NIH HHS P30 DK056336
6 · The paper itself

Abstract

purposeTo utilize data from lifestyle intervention pilot studies for cancer survivors to elucidate demographic, disease-related, and health behavior factors that might predict enrollment in this type of research. Additionally, factors were differentially compared based on intervention design (i.e., individual versus couple-based).

methodsSecondary data analysis was conducted regarding predictors of enrollment into lifestyle intervention studies, including Healthy Moves Weight Loss (individual participants, screened n = 89, enrolled n = 30) and Healthy Moves Couples (survivors and their partners, screened n = 197, enrolled n = 23). Due to small sample sizes, common in pilot studies, random forest analyses were used to maximize information yielded by the data.

resultsResults identified numerous important predictors of enrollment in individual and couple-based lifestyle interventions. Percent energy from fat and physical activity minutes were identified as important predictors for both recruitment methods. Age, cancer site, and marital status were important predictors of enrollment in the individual-based intervention. Weight, fiber consumption, and disease-related symptom severity and interference were important predictors of enrollment in the couple-based intervention.

conclusionAlthough there was some overlap in predictors for enrollment between studies, many differential predictors were identified between individual versus couple-based study designs for lifestyle intervention in cancer survivors. Future lifestyle intervention studies for cancer survivors may benefit from targeting different predictors of enrollment based on study design to optimize recruitment. Additionally, understanding predictors may allow certain barriers to enrollment (i.e., symptom burden) to be directly addressed, making lifestyle intervention research more feasible and acceptable to difficult-to-recruit survivors.

Indexed as

Life StyleCancer SurvivorsFemaleHealth BehaviorHumansMiddle AgedNeoplasmsCancer survivorsEnrollmentLifestyle interventionRandom forest

Identifiers

PMID29423679
PMCPMC8513134

What OpenQuestion holds

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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.