An empirical example of analysis using a two-stage modeling approach: within-subject association of outdoor context and physical activity predicts future daily physical activity levels. Issue 4 (7th November 2020)
- Record Type:
- Journal Article
- Title:
- An empirical example of analysis using a two-stage modeling approach: within-subject association of outdoor context and physical activity predicts future daily physical activity levels. Issue 4 (7th November 2020)
- Main Title:
- An empirical example of analysis using a two-stage modeling approach: within-subject association of outdoor context and physical activity predicts future daily physical activity levels
- Authors:
- Yang, Chih-Hsiang
Maher, Jaclyn P
Ponnada, Aditya
Dzubur, Eldin
Nordgren, Rachel
Intille, Stephen
Hedeker, Donald
Dunton, Genevieve F - Abstract:
- Abstract: People differ from each other to the extent to which momentary factors, such as context, mood, and cognitions, influence momentary health behaviors. However, statistical models to date are limited in their ability to test whether the association between two momentary variables (i.e., subject-level slopes) predicts a subject-level outcome. This study demonstrates a novel two-stage statistical modeling strategy that is capable of testing whether subject-level slopes between two momentary variables predict subject-level outcomes. An empirical case study application is presented to examine whether there are differences in momentary moderate-to-vigorous physical activity (MVPA) levels between the outdoor and indoor context in adults and whether these momentary differences predict mean daily MVPA levels 6 months later. One hundred and eight adults from a multiwave longitudinal study provided 4 days of ecological momentary assessment (during baseline) and accelerometry data (both at baseline and 6 month follow-up). Multilevel data were analyzed using an open-source program (MixWILD) to test whether momentary strength between outdoor context and MVPA during baseline was associated with average daily MVPA levels measured 6 months later. During baseline, momentary MVPA levels were higher in outdoor contexts as compared to indoor contexts ( b = 0.07, p < .001). Participants who had more momentary MVPA when outdoors (vs. indoors) during baseline (i.e., a greater subject-levelAbstract: People differ from each other to the extent to which momentary factors, such as context, mood, and cognitions, influence momentary health behaviors. However, statistical models to date are limited in their ability to test whether the association between two momentary variables (i.e., subject-level slopes) predicts a subject-level outcome. This study demonstrates a novel two-stage statistical modeling strategy that is capable of testing whether subject-level slopes between two momentary variables predict subject-level outcomes. An empirical case study application is presented to examine whether there are differences in momentary moderate-to-vigorous physical activity (MVPA) levels between the outdoor and indoor context in adults and whether these momentary differences predict mean daily MVPA levels 6 months later. One hundred and eight adults from a multiwave longitudinal study provided 4 days of ecological momentary assessment (during baseline) and accelerometry data (both at baseline and 6 month follow-up). Multilevel data were analyzed using an open-source program (MixWILD) to test whether momentary strength between outdoor context and MVPA during baseline was associated with average daily MVPA levels measured 6 months later. During baseline, momentary MVPA levels were higher in outdoor contexts as compared to indoor contexts ( b = 0.07, p < .001). Participants who had more momentary MVPA when outdoors (vs. indoors) during baseline (i.e., a greater subject-level slope) had higher daily MVPA at the 6 month follow-up ( b = 0.09, p < .05). This empirical example shows that the subject-level momentary association between specific context (i.e., outdoors) and health behavior (i.e., physical activity) may contribute to overall engagement in that behavior in the future. The demonstrated two-stage modeling approach has extensive applications in behavioral medicine to analyze intensive longitudinal data collected from wearable sensors and mobile devices. … (more)
- Is Part Of:
- Translational behavioral medicine. Volume 11:Issue 4(2021)
- Journal:
- Translational behavioral medicine
- Issue:
- Volume 11:Issue 4(2021)
- Issue Display:
- Volume 11, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 11
- Issue:
- 4
- Issue Sort Value:
- 2021-0011-0004-0000
- Page Start:
- 912
- Page End:
- 920
- Publication Date:
- 2020-11-07
- Subjects:
- Experience sampling methods -- Environmental context -- Random subject effects -- Intensive longitudinal data -- Mixed-effects model
Medicine and psychology -- Periodicals
616.0019 - Journal URLs:
- http://www.springerlink.com/content/1869-6716 ↗
http://www.springer.com/gb/ ↗ - DOI:
- 10.1093/tbm/ibaa107 ↗
- Languages:
- English
- ISSNs:
- 1869-6716
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9024.050000
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- 24942.xml