Trial reportHealth education & behavior : the official publication of the Society for Public Health Education2013
Exploring behavioral markers of long-term physical activity maintenance: a case study of system identification modeling within a behavioral intervention.
Trial report in Health education & behavior : the official publication of the Society for Public Health Education, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Barriers to and Facilitators of Technology in Cardiac Rehabilitation and Self-Management: Systematic Qualitative Grounded Theory Review.Journal of medical Internet research · 2020Pooled it
- Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention.Journal of behavioral medicine · 2018Trial
- A smartphone "app"-delivered randomized factorial trial targeting physical activity in adults.Journal of behavioral medicine · 2017Trial
- Increasing walking among older people: A test of behaviour change techniques using factorial randomised N-of-1 trials.Psychology & health · 2016Trial
- Time regained: when people stop a physical activity program, how does their time use change? A randomised controlled trial.PloS one · 2015Trial
- Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions.JMIR research protocols · 2023Article
- Complex lifestyle intervention among inactive older adults with elevated cardiovascular disease risk and obesity: a mixed-method, single-arm feasibility study for RESTART-a randomized controlled trial.Pilot and feasibility studies · 2021Article
- 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 · 2021Article
- Engineering Person-Specific Behavioral Interventions to Promote Physical Activity.Exercise and sport sciences reviews · 2020Review
- Rationale, design, and development of SleepWell24: A smartphone application to promote adherence to positive airway pressure therapy among patients with obstructive sleep apnea.Contemporary clinical trials · 2020Article
- The impact of weather on summer and winter exercise behaviors.Journal of sport and health science · 2019Article
- Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions.Journal of medical Internet research · 2018Article
- Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs.Health information science and systems · 2017Review
- Evaluating the effect of smoking cessation treatment on a complex dynamical system.Drug and alcohol dependence · 2017Article
- Toward Usable Evidence: Optimizing Knowledge Accumulation in HCI Research on Health Behavior Change.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2017Article
- Advancing Models and Theories for Digital Behavior Change Interventions.American journal of preventive medicine · 2016Article
- Agile science: creating useful products for behavior change in the real world.Translational behavioral medicine · 2016Article
- Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research.Translational behavioral medicine · 2015Article
- A control systems engineering approach for adaptive behavioral interventions: illustration with a fibromyalgia intervention.Translational behavioral medicine · 2014Article
- Hybrid Model Predictive Control for Sequential Decision Policies in Adaptive Behavioral Interventions.Proceedings of the ... American Control Conference. American Control Conference · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Efficacious interventions to promote long-term maintenance of physical activity are not well understood. Engineers have developed methods to create dynamical system models for modeling idiographic (i.e., within-person) relationships within systems. In behavioral research, dynamical systems modeling may assist in decomposing intervention effects and identifying key behavioral patterns that may foster behavioral maintenance. The Active Adult Mentoring Program was a 16-week randomized controlled trial of a group-based, peer-delivered physical activity intervention targeting older adults. Time-intensive (i.e., daily) physical activity reports were collected throughout the intervention. We explored differential patterns of behavior among participants who received the active intervention (N = 34; 88% women, 64.1 ± 8.3 years of age) and either maintained 150 minutes/week of moderate to vigorous intensity physical activity (MVPA; n = 10) or did not (n = 24) at 18 months following the intervention period. We used dynamical systems modeling to explore whether key intervention components (i.e., self-monitoring, access to an exercise facility, behavioral initiation training, behavioral maintenance training) and theoretically plausible behavioral covariates (i.e., indoor vs. outdoor activity) predicted differential patterns of behavior among maintainers and nonmaintainers. We found that maintainers took longer to reach a steady-state of MVPA. At week 10 of the intervention, nonmaintainers began to drop whereas maintainers increased MVPA. Self-monitoring, behavioral initiation training, percentage of outdoor activity, and behavioral maintenance training, but not access to an exercise facility, were key variables that explained patterns of change among maintainers. Future studies should be conducted to systematically explore these concepts within a priori idiographic (i.e., N-of-1) experimental designs.
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Registered trials
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.