Evidence map›Paper›PMID 27848208›Full record

ArticleTranslational behavioral medicine2016

Development of a dynamic computational model of social cognitive theory.

William T Riley, Cesar A Martin, Daniel E Rivera, Eric B Hekler, Marc A Adams, Matthew P Buman, Misha Pavel, Abby C King

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  15. Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol.International journal of environmental research and public health · 2022
    Article
  16. Person-specific dose-finding for a digital messaging intervention to promote physical activity.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2021
    Article
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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

8 authors.

William T RileyBehavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA. wiriley@mail.nih.gov.
Cesar A MartinControl Systems Engineering Laboratory (CSEL), School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA.
Daniel E RiveraControl Systems Engineering Laboratory (CSEL), School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA.
Eric B HeklerSchool of Nutrition and Health Promotion, Arizona State University, Tempe, AZ, USA.
Marc A AdamsSchool of Nutrition and Health Promotion, Arizona State University, Tempe, AZ, USA.
Matthew P BumanSchool of Nutrition and Health Promotion, Arizona State University, Tempe, AZ, USA.
Misha PavelNortheastern University, Boston, MA, USA.
Abby C KingDepartment of Health Research and Policy, and Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Funding

Training CoreU54EB020405 · NIBIB · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2014 to 2018
$11.6M
Virtual Advisors for Physical Activity Promotion in Underserved CommunitiesR01HL116448 · NHLBI · STANFORD UNIVERSITY · PI BICKMORE, TIMOTHY W., KING, ABBY C · 2013 to 2016
$3.0M
Innovative Physical Activity Interventions for Overweight LatinosR01DK102016 · NIDDK · STANFORD UNIVERSITY · PI KING, ABBY C · 2014 to 2017
$2.7M
Technology-CoreP20NR015320 · NINR · NORTHEASTERN UNIVERSITY · PI FULMER, TERRY T. · 2014 to 2018
$1.5M
Control Engineering Approaches to Adaptive Interventions for Fighting Drug AbuseK25DA021173 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI RIVERA, DANIEL E · 2007 to 2011
$875k
NHLBI NIH HHS R01 HL116448NIBIB NIH HHS U54 EB020405NIDA NIH HHS K25 DA021173NIDDK NIH HHS R01 DK102016NINR NIH HHS P20 NR015320
6 · The paper itself

Abstract

Social cognitive theory (SCT) is among the most influential theories of behavior change and has been used as the conceptual basis of health behavior interventions for smoking cessation, weight management, and other health behaviors. SCT and other behavior theories were developed primarily to explain differences between individuals, but explanatory theories of within-person behavioral variability are increasingly needed as new technologies allow for intensive longitudinal measures and interventions adapted from these inputs. These within-person explanatory theoretical applications can be modeled as dynamical systems. SCT constructs, such as reciprocal determinism, are inherently dynamical in nature, but SCT has not been modeled as a dynamical system. This paper describes the development of a dynamical system model of SCT using fluid analogies and control systems principles drawn from engineering. Simulations of this model were performed to assess if the model performed as predicted based on theory and empirical studies of SCT. This initial model generates precise and testable quantitative predictions for future intensive longitudinal research. Dynamic modeling approaches provide a rigorous method for advancing health behavior theory development and refinement and for guiding the development of more potent and efficient interventions.

Indexed as

Computer SimulationSocial TheoryCognitionHealth BehaviorHumansIntentionModels, TheoreticalSmoking CessationSystems AnalysisComputational modelingControl systems engineeringDynamical system modelingHealth behavior theorySocial cognitive theory

Identifiers

PMID27848208
PMCPMC5110484

What OpenQuestion holds

Textmetadata
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.