Broad versus narrow bandwidth measures of experienced automaticity for physical activity

Bibliographic Data

ID21579537
AuthorsJenny L Olson (0000-0003-2777-3794, Department of Kinesiology, The Pennsylvania State University, University Park, PA, USA, corresponding author), Scherezade K Mama (0000-0003-1935-7707, MD Anderson Cancer Center, Department of Health Disparities Research, Houston, TX, USA), Deborah Brunke-Reese (0000-0002-8973-8671, Department of Kinesiology, The Pennsylvania State University, University Park, PA, USA), Constantino Lagoa (0000-0001-6871-3240, School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, USA), Christopher Sciamanna (0000-0002-1568-341X, College of Medicine, The Pennsylvania State University, Hershey, PA, USA), Chris Sciamanna (Pennsylvania State University), David E Conroy (0000-0003-0204-4093, Department of Kinesiology, The Pennsylvania State University, University Park, PA, USA)
Year2024
Volume39
Issue10
Pages1371-1387
Publication date2024-10-02
Open AccessNo
TypeARTICLE
VenuePsychology & Health (JOURNAL)
Journal identifiersISSN: 0887-0446 • E-ISSN: 1476-8321
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/08870446.2022.2146690
PMID36384364
OpenAlexW4309512960
LanguageEN
Citations received1
References cited32

Objective: Physical activity is important for health, yet most young adults are insufficiently active. Physical activity is regulated in part, by habit, typically operationalised as automaticity. Little is known about the characteristics of automaticity, or whether broad bandwidth unidimensional measures of automaticity for physical activity are superior to narrower bandwidth multi- dimensional measures. Design: This secondary analysis (N = 238) investigated the nature of automaticity, and relations between the dimensions of automaticity, global automaticity, and physical activity.Main Outcome Measures: The structure of the Generic Multifaceted Automaticity Scale (GMAS) was examined by confirmatory factor analyses. Structural equation models were estimated to evaluate relations between automaticity (measured on the GMAS and the Self- Report Behavioral Automaticity Index, SRBAI) and device- measured activity.Results: The hypothesised 3- factor structure of the GMAS was rejected, in favour of a 2- factor solution. Lack of intention/control and efficiency were associated with global automaticity, but not physical activity. Global automaticity was associated with moderate to vigorous physical activity and daily steps, but not light physical activity.Conclusion: Multi- dimensional measures of automaticity may not provide a more nuanced understanding of automaticity when predicting overall physical activity

Automaticity · Cognition · Physical activity · Physical medicine and rehabilitation · Behavioral Health and Interventions · Medicine · Motivation and Self-Concept in Sports · Neuroscience · Physical Activity and Health · Psychology

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