Title of article
A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling
Author/Authors
Kim, Jinhyuk Department of Biobehavioral Health - The Pennsylvania State University - University Park, USA , Marcusson-Clavertz, David Department of Biobehavioral Health - The Pennsylvania State University - University Park, USA , Togo, Fumiharu Graduate School of Education - The University of Tokyo - Tokyo, Japan , Park, Hyuntae Department of Health Care and Science - College of Health Science - Dong-A University - Busan, Republic of Korea
Pages
11
From page
1
To page
11
Abstract
Tere is growing interest in within-person associations of objectively measured physical and physiological variables with
psychological states in daily life. Here we provide a practical guide with SAS code of multilevel modeling for analyzing physical
activity data obtained by accelerometer and self-report data from intensive and repeated measures using ecological momentary
assessments (EMA). We review previous applications of EMA in research and clinical settings and the analytical tools that are
useful for EMA research. We exemplify the analyses of EMA data with cases on physical activity data and afect and discuss the
future challenges in the feld.
Keywords
Time-Varying , Physical , EMA , MDD
Journal title
Computational and Mathematical Methods in Medicine
Serial Year
2018
Full Text URL
Record number
2610524
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