Flora Le1, Yang Yap1, Natasha Yan Chi Tung1, Bei Bei1, Joshua F Wiley2. 1. School of Psychological Science, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia. 2. School of Psychological Science, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia. joshua.wiley@monash.edu.
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.
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.
Authors: Lydia Poole; Andrew Steptoe; Andrew J Wawrzyniak; Sophie Bostock; Ellen S Mitchell; Mark Hamer Journal: Psychophysiology Date: 2011-02-22 Impact factor: 4.016
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