Key result
EMA shows within-day fluctuations explain ~50% of symptom and emotional variance in older adults.
Why the study?
Determinants of health behaviors are often treated as static, and little is known about their time-dependent fluctuations needed to personalize dynamic health behavior change interventions.
Observational (n=64)
No
Behavioral determinants including intention, self-efficacy, fatigue, and most emotions fluctuate substantially within the same day in older adults, supporting the use of dynamic, just-in-time adaptive interventions to promote physical activity.
May inform timing of activity prompts in older adults; hypothesis-generating for EMA-guided just-in-time interventions.
Background: Many theoretical frameworks have been used in order to understand health behaviors such as physical activity, sufficient sleep, healthy eating habits, etc. In most research studies, determinants within these frameworks are assessed only once and thus are considered as stable over time, which leads to rather 'static' health behavior change interventions. However, in real-life, individual-level determinants probably vary over time (within days and from day to day), but currently, not much is known about these time-dependent fluctuations in determinants. In order to personalize health behavior change interventions in a more dynamic manner, such information is urgently needed. Objective: The purpose of this study was to explore the time-dependent variability of emotions, physical complaints, intention, and self-efficacy in older adults (65+) using Ecological Momentary Assessment (EMA). Generalized linear mixed models were used to assess the fluctuations of individual determinants within subjects and over days. The majority of the variance for relaxation, satisfaction, insecurity, anxiousness, irritation, feeling down, fatigue, dizziness, intention, and self-efficacy is explained by the within subjects and within days variance (42.9% to 65.8%). Hence, these determinants mainly differed within the same subject and within the same day. The between subjects variance explained the majority of the variance for cheerfulness, enthusiasm, pain, stiffness, and shortness of breath (50.2% to 67.3%). Hence, these determinants mainly differed between different subjects. Conclusions: This study reveals that multiple individual-level determinants are time-dependent, and are better considered as 'dynamic' or unstable behavior determinants. This study provides us with important insights concerning the development of dynamic health behavior change interventions, anticipating real-time dynamics of determinants instead of considering determinants as stable within individuals.
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Maes et al. (2022) conducted an observational in Healthy aging / physical activity determinants in older adults (n=64). Ecological Momentary Assessment (EMA) of time-dependent variability in emotions, physical complaints, intention, and self-efficacy was evaluated on Time-dependent within-subject and between-subject variance in emotions, physical complaints, intention, and self-efficacy. Ecological Momentary Assessment in older adults revealed that within-subject and within-day variance accounted for 42.9% to 65.8% of the variability in relaxation, satisfaction, negative emotions, fatigue, dizziness, intention, and self-efficacy.
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