4.3 Article

Continuous-Time Modeling of the Bidirectional Relationship Between Incidental Affect and Physical Activity

Journal

ANNALS OF BEHAVIORAL MEDICINE
Volume 56, Issue 12, Pages 1284-1299

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/abm/kaac024

Keywords

Continuous-time; Dynamic; Incidental affect; Physical activity

Funding

  1. Canadian Institutes of Health Research Vanier Fellowship
  2. National Institute of Mental Health [L30 MH101760]
  3. University of Pittsburgh's Clinical and Translational Science Institute - National Institutes of Health Clinical and Translational Science Award program [UL1 TR001857]
  4. University of Pittsburgh Central Research Development Fund
  5. University of Pittsburgh University Center for Social and Urban Research

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Using continuous-time analysis, this study examined the dynamic relationship between incidental affect and moderate-to-vigorous physical activity (MVPA). The results showed that positive and negative incidental affect predicted subsequent MVPA, and engaging in MVPA also predicted subsequent affect. The influence of incidental affect on MVPA was stronger than the reciprocal relationship. The effects were strongest at 7-9 hour time intervals.
Background Previous research suggests that there is a bidirectional relationship between incidental affect (i.e., how people feel in day-to-day life) and physical activity behavior. However, many inconsistencies exist in the body of work due to the lag interval between affect and physical activity measurements. Purpose Using a novel continuous-time analysis paradigm, we examined the temporal specificity underlying the dynamic relationship between positive and negative incidental affective states and moderate-to-vigorous physical activity (MVPA). Methods A community sample of adults (n = 126, M-age = 27.71, 51.6% Male) completed a 14-day ambulatory assessment protocol measuring momentary positive and negative incidental affect six times a day while wearing a physical activity monitor (Fitbit). Hierarchical Bayesian continuous-time structural equation modeling was used to elucidate the underlying dynamics of the relationship between incidental affective states and MVPA. Results Based on the continuous-time cross-effects, positive and negative incidental affect predicted subsequent MVPA. Furthermore, engaging in MVPA predicted subsequent positive and negative incidental affect. Incidental affective states had a greater relative influence on predicting subsequent MVPA compared to the reciprocal relationship. Analysis of the discrete-time coefficients suggests that cross-lagged effects increase as the time interval between measurements increase, peaking at about 8 h between measurement occasions before beginning to dissipate. Conclusions The results provide support for a recursive relationship between incidental affective states and MVPA, which is particularly strong at 7-9 hr time intervals. Future research designs should consider these medium-term dynamics, for both theory development and intervention.

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