Cited by 75Physical Activity and HealthMobile Health and mHealth ApplicationsBehavioral Health and Interventions

Personalized models of physical activity responses to text message micro-interventions: A proof-of-concept application of control systems engineering methods

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Conroy, David E., Hojjatinia, Sarah, Lagoa, Constantino M., Yang, Chih-Hsiang, Lanza, Stephanie T., Smyth, Joshua M.·2019·Psychology of Sport and Exercise

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Abstract

OBJECTIVES: The 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 & METHOD: To 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. RESULTS: Models revealed heterogeneous responses to different message types that varied between people and between weekdays and weekends. CONCLUSIONS: This 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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Authors
Conroy, D. E., Hojjatinia, S., Lagoa, C. M., Yang, C.-H., Lanza, S. T., & Smyth, J. M.
Affiliations
  • Northwestern University (US)
  • Pennsylvania State University (US)
  • University of Southern California (US)
Corresponding author
Conroy, David E.
Venue
Psychology of Sport and Exercise
Publisher
Elsevier BV
Published
2019-03
Volume
41
Pages
172-180
ISSN
1469-0292 (ISSN-L)
OpenAlex
W2810060365
Cited by
71
References
75
Citations by year
2026: 1 · 2025: 4 · 2024: 6 · 2023: 6 · 2022: 7 · 2021: 12 · 2020: 26 · 2019: 9
FWCI
8.77
Type
journal article
Language
en
Open access
Locations
  • Psychology of sport and exercise (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • OSF Preprints (OSF Preprints) (submittedVersion, cc-by)
  • OSF Preprints (OSF Preprints) (submittedVersion, public-domain)
  • OSF Preprints (OSF Preprints) (submittedVersion)
Funders
  • Penn State Social Science Research Institute
  • National Science Foundation (CNS 1329422)
  • National Institutes of Health (P50 DA039838)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Keywords
physical activity, text messaging intervention, micro-interventions, dynamic system modeling, control engineering, sedentary behavior, socio-cognitive processes, wearable activity trackers, mobile health

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