Evidence map›Paper›PMID 28410164›Full record

ArticleJMIR cancer2016

Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study.

Emily C Martin, Karen Basen-Engquist, Matthew G Cox, Elizabeth J Lyons, Cindy L Carmack, Janice A Blalock, Wendy Demark-Wahnefried

Open access · goldAbstract read
In one paragraph

Article in JMIR cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Online-delivered resistance exercise intervention among racially diverse breast cancer survivors: Feasibility, acceptability, and exploratory outcomes of B-REP.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Trial
  3. Trial
  4. Implementation and evaluation of an integrated ayurveda-yoga education program for lifestyle modifications among people with cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Article
  6. Article
  7. Observational
  8. Modality preferences for health behaviour interventions for post-treatment cancer survivors: a theoretical investigation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  9. A Web-based Lifestyle Intervention for Cancer Survivors: Feasibility and Acceptability of SurvivorSHINE.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Predictors of enrollment in individual- and couple-based lifestyle intervention trials for cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Designing more engaging computer-tailored physical activity behaviour change interventions for breast cancer survivors: lessons from the iMove More for Life study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2017
    Article
  20. 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

7 authors at 3 institutions in 1 country.

Emily C MartinUniversity of Texas MD Anderson Cancer Center, Department of Behavioral Science, Houston, TX, United States.ORCID http://orcid.org/0000-0003-2693-9553
Karen Basen-EngquistUniversity of Texas MD Anderson Cancer Center, Department of Behavioral Science, Houston, TX, United States.ORCID http://orcid.org/0000-0001-7299-0646
Matthew G CoxUniversity of Texas MD Anderson Cancer Center, Department of Behavioral Science, Houston, TX, United States.ORCID http://orcid.org/0000-0003-0903-0460
Elizabeth J LyonsThe University of Texas Medical Branch, Department of Nutrition and Metabolism, Galveston, TX, United States.ORCID http://orcid.org/0000-0003-1695-2236
Cindy L CarmackUniversity of Texas MD Anderson Cancer Center, Department of Palliative, Rehabilitation and Integrative Medicine, Houston, TX, United States.ORCID http://orcid.org/0000-0002-8505-7297
Janice A BlalockUniversity of Texas MD Anderson Cancer Center, Department of Behavioral Science, Houston, TX, United States.ORCID http://orcid.org/0000-0003-2893-0245
Wendy Demark-WahnefriedUniversity of Alabama at Birmingham, Department of Nutrition Sciences, Birmingham, AL, United States.ORCID http://orcid.org/0000-0001-5241-932X
The University of Texas MD Anderson Cancer Center · USThe University of Texas Medical Branch at Galveston · USUniversity of Alabama at Birmingham · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
R25 SUPPLEMENT IN GENETIC EPIDEMIOLOGY EDUCATIONR25CA057730 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHANG, SHINE · 1992 to 2016
$18.6M
NCI NIH HHS P30 CA016672NCI NIH HHS R25 CA057730
6 · The paper itself

Abstract

backgroundEffective, broad-reaching channels are important for the delivery of health behavior interventions in order to meet the needs of the growing population of cancer survivors in the United States. New technology presents opportunities to increase the reach of health behavior change interventions and therefore their overall impact. However, evidence suggests that older adults may be slower in their adoption of these technologies than the general population. Survivors' interest for more traditional channels of delivery (eg, clinic) versus new technology-based channels (eg, smartphones) may depend on a variety of factors, including demographics, current health status, and the behavior requiring intervention.

objectiveThe aim of this study was to determine the factors that predict cancer survivors' interest in new technology-based health behavior intervention modalities versus traditional modalities.

methodsSurveys were mailed to 1871 survivors of breast, prostate, and colorectal cancer. Participants' demographics, diet and physical activity behaviors, interest in health behavior interventions, and interest in intervention delivery modalities were collected. Using path analysis, we explored the relationship between four intervention modality variables (ie, clinic, telephone, computer, and smartphone) and potential predictors of modality interest.

resultsIn total, 1053 respondents to the survey (56.3% response rate); 847 provided complete data for this analysis. Delivery channel interest was highest for computer-based interventions (236/847, 27.9% very/extremely interested) and lowest for smartphone-based interventions (73/847, 8.6%), with interest in clinic-based (147/847, 17.3%) and telephone-delivered (143/847, 16.9%) falling in between. Use of other technology platforms, such as Web cameras and social networking sites, was positively predictive of interest in technology-based delivery channels. Older survivors were less likely to report interest in smartphone-based diet interventions. Physical activity, fruit and vegetable consumption, weight status, and age moderated relationships between interest in targeted intervention behavior and modality.

conclusionsThis study identified several predictors of survivor interest in various health behavior intervention delivery modalities. Overall, computer-based interventions were found to be most acceptable, while smartphones were the least. Factors related to survivors' current technology use and health status play a role in their interest for technology-based intervention versus more traditional delivery channels. Future health behavior change research in this population should consider participants' demographic, clinical, and lifestyle characteristics when selecting a delivery channel. Furthermore, current health behavior interventions for older cancer survivors may be best delivered over the Internet. Smartphone interventions may be feasible in the future following further adoption and familiarization by this particular population.

Indexed as

behavioral interventioncancer survivordietphysical activitysmartphonetechnology

Identifiers

PMID28410164
PMCPMC5369635
OpenAlexW2280669783

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.