The promise of wearable sensors and ecological momentary assessment measures for dynamical systems modeling in adolescents: a feasibility and acceptability study.
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.
Department of Psychology, Oklahoma State University, Stillwater, OK, USA.
Erin E
EE
Brannon
Clinical Child Psychology Program, University of Kansas, 2015 Dole Human Development Center, Lawrence, KS, 66045, USA. christopher.cushing@ku.edu.
Christopher C
CC
Cushing
Computer Science Department, Oklahoma State University, Stillwater, OK, USA.
Christopher J
CJ
Crick
Clinical Child Psychology Program, University of Kansas, 2015 Dole Human Development Center, Lawrence, KS, 66045, USA.
Tarrah B
TB
Mitchell
D000293:Adolescent; D040421:Cell Phone; D000072860:Ecological Momentary Assessment; D015444:Exercise; D005240:Feasibility Studies; D005260:Female; D015438:Health Behavior; D006801:Humans; D008297:Male; D063731:Mobile Applications; D011795:Surveys and Questionnaires
Adolescents; Ecological momentary assessment; Feasibility; Physical activity; Wearable sensors
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