Le F, Yap Y, Tung NYC, Bei B, Wiley JF. The Associations Between Daily Activities and Affect: a Compositional Isotemporal Substitution Analysis.
Int J Behav Med 2021;
29:456-468. [PMID:
34608593 DOI:
10.1007/s12529-021-10031-z]
[Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND
Daily activities are associated with affective experiences. A 24-h day can be separated into five mutually exclusive activity types: sleep, awake in bed, moderate-to-vigorous physical activity (MVPA), light-intensity physical activity (LIPA), and sedentary behavior (SB). Most research has examined these activities independently and not collectively, yet increased time in one activity must be offset by decreasing other activities. Using compositional isotemporal substitution analyses, this study examined the associations between time spent in daily activities and affect, including both high and low arousal positive and negative affect.
METHOD
Across three separate studies, daily activities and affect were measured throughout 7-15 days (Mdays = 10) in 361 healthy community adults (72.5% females, Mage = 22.79 years). Activities were objectively assessed using accelerometry and self-reported affect was assessed using repeated ecological momentary assessments. Minutes spent in each activity and affect values across the three studies were averaged for each participant.
RESULTS
Longer sleep duration at the expense of time awake in bed was associated with lower high arousal negative affect (e.g., nervousness, b = - 0.24, p = .007). More MVPA at the expense of LIPA or SB was associated with higher high arousal positive affect (e.g., happiness, b = 0.35, p = .027). Activity composition was not associated with low arousal positive or negative affect (all p ≥ .06).
CONCLUSION
Associations between 24-h activity composition and affect differed based on types of activities, types of affect, and the interrelationships between activities within the composition. Findings can aid interventions to develop integrated guidance on the optimal activity patterns for mental health.
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