Theory Based Physical Activity Prediction Using Ecological Momentary Assessment: The Role of Intentions and Planning

  • David Haag (Autor)
  • Haag, D. (Vortragender)
  • Sebastian Gruber (Autor)
  • Sebastian Gruber (Autor)
  • Eleonora Carrozzo (Autor)
  • Björn Pannicke (Autor)
  • Josef Niebauer (Autor)
  • Jens Blechert (Autor)

Aktivität: Vortrag ohne Tagungsband / VorlesungPräsentation auf einer wissenschaftlichen Konferenz / Workshop


Background: Current health behavior models of physical activity suggest that intentions, but also self-efficacy and planning play a key role in successful physical activity enactment. However, data on how these determinants are related within persons are scarce. Here, ecological momentary assessment (EMA) might provide insights, especially for predicting when physical activity is enacted successfully. Design: Therefore, this EMA study sampled data from 36 healthy participants (aged 23-67) for three weeks. Each day, a set of momentary questions was prompted at 9 am, 1 pm, 5 pm and 9 pm via smartphone. At each time, among other variables, physical activity during the previous four hours and intentions to be physically active during the subsequent four hours were assessed. Additionally, for episodes in which participants intended to be physically active, planning specificity and self-efficacy were measured. 26 participants reached compliance rates of ≥50%. Those participants were included in the analyses using generalized logistic mixed effect modeling to predict physical activity as reported in the EMA. Results: Over the 1661 answered EMA prompts, binarily measured intention correctly predicted physical activity enactment in 82% of the episodes. Additionally, in episodes for which participants intended to be physically active, the probability of actual physical activity enactment was higher in episodes with higher planning specificity, self-efficacy and their combination interaction. Conclusion: These results support predictions from current health behavior models and show that they also hold for within-participants fluctuations across time. Implications for the development of Just-in-Time Adaptive Interventions (JITAI) will be discussed.
Zeitraum29 Sept. 20221 Okt. 2022
Ereignistitel18. Kongress der Deutschen Gesellschaft für Verhaltensmedizin und Verhaltensmodifikation (DGVM Kongress 2022)

Research Field

  • Exploration of Digital Health


  • Physical Activity