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Within-day time-varying associations between motivation and movement-related behaviors in older adults
Institution:1. University of North Carolina Greensboro, Department of Kinesiology, 1408 Walker Avenue, Greensboro, NC, 27402, United States;2. University of Southern California, Department of Preventive Medicine, 2001 N. Soto. Street, Los Angeles, CA, 90032, United States
Abstract:ObjectivesEmerging evidence suggests both motivation and movement-related behaviors vary within and across days. Yet common data analytic approaches assume static or consistent relationships between motivation and behavior across time. Just as motivation and behavior change across time, so too might associations between motivation and behavior. This study will apply time-varying effect modeling to Ecological Momentary Assessment (EMA) data to examine time of day differences in how motivational constructs predict older adults’ subsequent movement-related behavior over the next 2 h.DesignOlder adults (n = 104) completed a 10-day EMA protocol.MethodParticipants answered up to 6 EMA prompts/day to assess momentary intentions and self-efficacy to stand or move as well as intentions and self-efficacy to limit sedentary time over the next 2 h. Participants wore an activPAL accelerometer continuously to measure time spent being upright (i.e., standing or moving) and time spent sitting.ResultsOn weekdays, intentions and self-efficacy were generally predictive of subsequent behavior in the expected direction over the majority of the day whereas these constructs predicted subsequent behavior in the expected directions over a smaller range of times on weekend days.ConclusionsThis study adds to emerging evidence that associations between motivational constructs and subsequent behavior change over the course of the day, but these time-varying associations may be different depending on the day of week. This work has implications for intervention design and the timing of intervention content delivery in approaches like just-in-time adaptive interventions.
Keywords:Intentions  Self-efficacy  Physical activity  Sedentary behavior  Ecological momentary assessment  Time-varying effect models
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