4.6 Article

Breaking Up Sedentary Behavior Optimally to Enhance Mood

期刊

MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
卷 52, 期 2, 页码 457-465

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1249/MSS.0000000000002132

关键词

SEDENTARINESS; ACCELEROMETRY; ECOLOGICAL MOMENTARY ASSESSMENT; AMBULATORY ASSESSMENT; INTERVENTIONS; MENTAL HEALTH

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Introduction Experimental evidence shows that breaking-up sedentary behavior is positively associated with positive mental health outcomes. However, whether sedentary breaks influence mood in everyday life is largely unknown. Moreover, it is unclear which break patterns are most beneficial to enhance mood. Methods To investigate the degree to which sedentary break patterns influence mood dimensions in everyday life, we conducted an Ecological Momentary Assessment study in 92 university employees over 5 d. We continuously measured physical behavior (physical activity and sedentary behavior) objectively via accelerometers and assessed mood 10 times a day on smartphone diaries. We defined distinct break patterns, such as variations in frequency (number of breaks), duration (length of breaks), intensity (metabolic equivalent), and context (home or work) and used multilevel modeling to analyze the within-subject effects of sedentary break patterns on mood. Results Break intensity was positively associated with subsequent valence (P < 0.01), energetic arousal (P < 0.01), and calmness (P < 0.05). Break frequency was positively associated with subsequent valence and energetic arousal (all P's < 0.01), but break duration was not associated with mood. Exploratory analyses indicated that breaking-up sedentary behavior was more beneficial at home than at work. Conclusions These ecologically valid findings suggest breaking-up sedentary behavior as a promising strategy to enhance mood in everyday life. In particular, breaking-up sedentary behavior frequently and intensively, for example, by walking instead of standing, may be most beneficial. We call for future studies to substantiate these accounts and to identify both practical and optimal break patterns among different samples. This evidence informs official public health recommendations aiming to minimize sedentary time in everyday life.

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