Evidence map›Paper›PMID 33159452›Full record

ArticleTranslational behavioral medicine2021

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.

Chih-Hsiang Yang, Jaclyn P Maher, Aditya Ponnada, Eldin Dzubur, Rachel Nordgren, Stephen Intille, Donald Hedeker, Genevieve F Dunton

Open access · bronzeAbstract read
In one paragraph

Article in Translational behavioral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 1 country.

Chih-Hsiang YangDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA.
Jaclyn P MaherDepartment of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA.
Aditya PonnadaKhoury College of Computer Sciences and Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA.
Eldin DzuburSchool of Social Work, University of Southern California, Los Angeles, CA, USA.
Rachel NordgrenDivision of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, IL, USA.
Stephen IntilleKhoury College of Computer Sciences and Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA.
Donald HedekerDepartment of Public Health Sciences, University of Chicago, Chicago, IL, USA.
Genevieve F DuntonDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Northeastern University · USUniversity of Southern California · USChicago Department of Public Health · USUniversity of Illinois Chicago · USUniversity of North Carolina at Greensboro · USUniversity of South Carolina · US

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Novel Statistical Models for Intensive Longitudinal Analyses of Cancer Control BehaviorsR01CA240713 · NCI · UNIVERSITY OF CHICAGO · PI Genevieve Fridlund Dunton, Donald Hedeker · 2019 to 2026
$4.1M
Novel Statistical Models for EMA Studies of Physical ActivityR01HL121330 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DUNTON, GENEVIEVE FRIDLUND, HEDEKER, DONALD · 2014 to 2017
$2.0M
NCI NIH HHS R01 CA240713NHLBI NIH HHS R01 HL121330NIEHS NIH HHS P30 ES027792
6 · The paper itself

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-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.

Indexed as

AccelerometryExerciseEcological Momentary AssessmentHealth BehaviorHumansLongitudinal StudiesEnvironmental contextExperience sampling methodsIntensive longitudinal dataMixed-effects modelRandom subject effects

Identifiers

PMID33159452
PMCPMC8521720
OpenAlexW3095914534

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.