Abstract
BackgroundThe relationship between intention and behavior has been well researched, but most studies fail to capture dynamic, time-varying contextual factors. Ecological momentary assessment through mobile phone technology is an innovative method for collecting data in real time, including time-use data. However, only a limited number of studies have examined day-level plans to be physically active and subsequent physical activity behavior using real-time time-use data to better understand this relationship.ObjectiveThis study aims to examine whether plans to be physically active (recorded in advance on an electronic calendar) were associated with objectively assessed physical activity (accelerometry), to identify activities that replaced planned periods of physical activity by using the mobile app Life in a Day (LIAD), and to test the feasibility and acceptability of LIAD for collecting real-time time-use data.MethodsThe study included 48 university students who were randomly assigned to 1 of 3 protocols, which were defined by 1, 3, or 5 days of data collection. Participants were asked to record their planned activities on a Google Calendar and were provided with mobile phones with LIAD to complete time-use entries in real time for a set of categories (eg, exercise or sports, eating or cooking, school, or personal care). Participants were instructed to wear an accelerometer on their nondominant wrist during the protocol period. A total of 144 days of protocol data were collected from the 48 participants.ResultsProtocol data for 123 days were eligible for analysis. A Fisher exact test showed a statistically significant association between plans and physical activity behavior (P=.02). The congruence between plans and behavior was fair (Cohen κ=0.220; 95% CI 0.028-0.411). Most participants did not plan to be active, which occurred on 75.6% (93/123) of days. Of these 93 days, no physical activity occurred on 76 (81.7%) days, whereas some physical activity occurred on 17 (18.3%) days. On the remaining 24.4% (30/123) of days, some physical activity was planned. Of these 30 days, no physical activity occurred on 18 (60%) days, whereas some physical activity occurred on 12 (40%) days. LIAD data indicated that activities related to screen time most often replaced planned physical activity, whereas unplanned physical activity was often related to active transport. Feasibility analyses indicated little difficulty in using LIAD, and there were no significant differences in feasibility by protocol length.ConclusionsConsistent with previous literature, physical activity plans and physical activity behaviors were linked, but not strongly linked. LIAD offers insight into the relationship between plans and behavior, highlighting the importance of active transport for physical activity and the influence of screen-related behaviors on insufficient physical activity. LIAD is a feasible and practical method for collecting time-use data in real time.
Highlights
BackgroundThe relationship between physical activity, chronic disease morbidity, and all-cause mortality is well documented
Life in a Day (LIAD) data indicated that activities related to screen time most often replaced planned physical activity, whereas unplanned physical activity was often related to active transport
For a day to be eligible for analysis, participants needed to have sufficient accelerometry data, LIAD data, and Google Calendar data
Summary
BackgroundThe relationship between physical activity, chronic disease morbidity, and all-cause mortality is well documented. Consistent physical activity can help mitigate risk factors for chronic diseases, including cardiovascular disease, diabetes, cancer, hypertension, obesity, and depression [1] These benefits are widely recognized, approximately 77% of US adults do not meet the current recommendations for aerobic and muscle-strengthening activities [2]. Life-transition events, characterized by a significant disruption in previously established routines and habits, can exacerbate these declines [5,6] One such group experiencing a transitional event is university students, who often cite a newfound lack of time or motivation to be active, subsequently failing to meet the current physical activity guidelines and developing patterns of inactivity that may persist into adulthood [7,8,9]. Only a limited number of studies have examined day-level plans to be physically active and subsequent physical activity behavior using real-time time-use data to better understand this relationship
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