ArticlePsychology of sport and exercise2019
Personalized models of physical activity responses to text message micro-interventions: A proof-of-concept application of control systems engineering methods.
Article in Psychology of sport and exercise, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Optimizing generative artificial intelligence prompts to engage urges for physical activity in middle-aged and older adults.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2026Article
- A Design Framework for Microintervention Software Technology in Digital Health: Critical Interpretive Synthesis.Journal of medical Internet research · 2025Article
- A Risk Minimization Approach to Messaging Intervention for Physical Activity.Proceedings of the ... American Control Conference. American Control Conference · 2025Article
- Feasibility of Fit24, a Digital Diabetes Prevention Program for Hispanic Adolescents: Qualitative Evaluation Study.JMIR formative research · 2024Article
- Boosts for walking: how humorous messages increase brisk walking among cognitively fatigued individuals.BMC public health · 2024Article
- Motivational Message Framing Effects on Physical Activity Dynamics in a Digital Messaging Intervention: Secondary Analysis.JMIR formative research · 2023Article
- Creation of a Holistic Platform for Health Boosting Using a Blockchain-Based Approach: Development Study.Interactive journal of medical research · 2023Article
- Towards more personalized digital health interventions: a clustering method of action and coping plans to promote physical activity.BMC public health · 2022Article
- An Overview of Innovative Approaches to Support Timely and Agile Health Communication Research and Practice.International journal of environmental research and public health · 2022Review
- The Physical Activity Messaging Framework (PAMF) and Checklist (PAMC): International consensus statement and user guide.The international journal of behavioral nutrition and physical activity · 2021Article
- Dynamic models of stress-smoking responses based on high-frequency sensor data.NPJ digital medicine · 2021Article
- A modified Delphi study to enhance and gain international consensus on the Physical Activity Messaging Framework (PAMF) and Checklist (PAMC).The international journal of behavioral nutrition and physical activity · 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
- Goal setting and achievement for walking: A series of N-of-1 digital interventions.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2021Article
- Just-in-time adaptive intervention to promote fluid consumption in patients with kidney stones.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2020Article
- Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2020Article
- Identification of switched autoregressive exogenous systems from large noisy datasets.International journal of robust and nonlinear control · 2020Article
- Engineering Person-Specific Behavioral Interventions to Promote Physical Activity.Exercise and sport sciences reviews · 2020Review
- Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint.Journal of medical Internet research · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectivesThe conceptual models underlying physical activity interventions have been based largely on differences between more and less active people. Yet physical activity is a dynamic behavior, and such models are not sensitive to factors that regulate behavior at a momentary level or how people respond to individual attempts at intervening. We demonstrate how a control systems engineering approach can be applied to develop personalized models of behavioral responses to an intensive text message-based intervention. DESIGN &
methodTo establish proof-of-concept for this approach, 10 adults wore activity monitors for 16 weeks and received five text messages daily at random times. Message content was randomly selected from three types of messages designed to target (1) social-cognitive processes associated with increasing physical activity, (2) social-cognitive processes associated with reducing sedentary behavior, or (3) general facts unrelated to either physical activity or sedentary behavior. A dynamical systems model was estimated for each participant to examine the magnitude and timing of responses to each type of text message.
resultsModels revealed heterogeneous responses to different message types that varied between people and between weekdays and weekends.
conclusionsThis proof-of-concept demonstration suggests that parameters from this model can be used to develop personalized algorithms for intervention delivery. More generally, these results demonstrate the potential utility of control systems engineering models for optimizing physical activity interventions.
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