Evidence map›Paper›PMID 31871110›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Self-efficacy and Physical Activity in Overweight and Obese Adults Participating in a Worksite Weight Loss Intervention: Multistate Modeling of Wearable Device Data.

Michael C Robertson, Charles E Green, Yue Liao, Casey P Durand, Karen M Basen-Engquist

Abstract readClinical Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Michael C RobertsonDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Charles E GreenDepartment of Pediatrics, McGovern Medical School, The University of Texas Health Science Center, Houston, Texas.
Yue LiaoDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Casey P DurandDepartment of Health Promotion and Behavioral Science, The University of Texas Health Science Center School of Public Health, Houston, Texas.
Karen M Basen-EngquistDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas. kbasenen@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Convalescent Plasma to Limit Coronavirus Associated ComplicationsUL1TR003167 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KARP, DANIEL D, MCPHERSON, DAVID D · 2019 to 2023
$45.3M
Developing and testing an electronically delivered acceptance- and mindfulness-based intervention to increase physical activity in breast cancer survivorsF31CA236433 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ROBERTSON, MICHAEL C. · 2019 to 2020
$61k
NCATS NIH HHS UL1 TR003167NCI NIH HHS F31 CA236433NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundPhysical activity is associated with a reduced risk of numerous types of cancer and plays an important role in maintaining a healthy weight. Wearable physical activity trackers may supplement behavioral intervention and enable researchers to study how determinants like self-efficacy predict physical activity patterns over time.

methodsWe used multistate models to evaluate how self-efficacy predicted physical activity states among overweight and obese individuals participating in a 26-week weight loss program (

resultsThe average prevalence of individuals in the active, insufficiently active, and nonvalid wear states was 13%, 44%, and 16%, respectively. Low self-efficacy negatively predicted entering an active state [HR, 0.51; 95% confidence interval (CI), 0.29-0.88]. Obesity negatively predicted making a favorable transition out of an insufficiently active state (HR, 0.61; 95% CI, 0.40-0.91). Older participants were less likely to transition to the nonvalid wear state (HR, 0.53; 95% CI, 0.30-0.93). Device nonwear increased in the second half of the intervention (HR, 1.73; 95% CI, 1.07-2.81).

conclusionsSelf-efficacy is an important predictor for clinically relevant physical activity change in overweight and obese individuals. Multistate modeling is useful for analyzing longitudinal physical activity data. IMPACT: Multistate modeling can be used for statistical inference of covariates and allow for explicit modeling of nonvalid wear.

Indexed as

Self EfficacyAdultExerciseFeasibility StudiesFemaleFitness TrackersHealth PromotionHumansMaleMiddle AgedModels, PsychologicalObesityOverweightWeight LossWeight Reduction ProgramsWorkplace

Identifiers

PMID31871110
PMCPMC7125025

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.