The promise of wearable sensors and ecological momentary assessment measures for dynamical systems modeling in adolescents: a feasibility and acceptability study
Autor: | Tarrah B. Mitchell, Erin E. Brannon, Christopher Crick, Christopher C. Cushing |
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Rok vydání: | 2016 |
Předmět: |
Male
Biopsychosocial model Complete data Adolescent Ecological Momentary Assessment Health Behavior Physical activity Wearable computer Accelerometer 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Surveys and Questionnaires Humans 0501 psychology and cognitive sciences Exercise Applied Psychology Original Research Protocol (science) Ecology 05 social sciences Mobile Applications Health psychology Feasibility Studies Female Psychology Psychosocial Cell Phone 030217 neurology & neurosurgery 050104 developmental & child psychology |
Zdroj: | Translational Behavioral Medicine. 6:558-565 |
ISSN: | 1613-9860 1869-6716 |
DOI: | 10.1007/s13142-016-0442-4 |
Popis: | Intervention development can be accelerated by using wearable sensors and ecological momentary assessment (EMA) to study how behaviors change within a person. The purpose of this study was to determine the feasibility and acceptability of a novel, intensive EMA method for assessing physiology, behavior, and psychosocial variables utilizing two objective sensors and a mobile application (app). Adolescents (n = 20) enrolled in a 20-day EMA protocol. Participants wore a physiological monitor and an accelerometer that measured sleep and physical activity and completed four surveys per day on an app. Participants provided approximately 81 % of the expected survey data. Participants were compliant to the wrist-worn accelerometer (75.3 %), which is a feasible measurement of physical activity/sleep (74.1 % complete data). The data capture (47.8 %) and compliance (70.28 %) with the physiological monitor were lower than other study variables. The findings support the use of an intensive assessment protocol to study real-time relationships between biopsychosocial variables and health behaviors. |
Databáze: | OpenAIRE |
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