Evidence map›Paper›PMID 37805039›Full record

ArticlePsychology of sport and exercise2024

Investigating the day-level associations between affective variability and physical activity using ecological momentary assessment.

Bridgette Do, Donald Hedeker, Wei-Lin Wang, Tyler B Mason, Britni R Belcher, Kimberly A Miller, Alexander J Rothman, Stephen S Intille, Genevieve F Dunton

Open access · greenAbstract read
In one paragraph

Article in Psychology of sport and exercise, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

9 authors at 4 institutions in 1 country.

Bridgette DoDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA. Electronic address: bridgetd@usc.edu.
Donald HedekerDepartment of Public Health Sciences, University of Chicago, Chicago, IL, USA.
Wei-Lin WangDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Tyler B MasonDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Britni R BelcherDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Kimberly A MillerDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA; Department of Dermatology, University of Southern California, Los Angeles, CA, USA.
Alexander J RothmanDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
Stephen S IntilleKhoury College of Computer Sciences, Northeastern University, Boston, MA, USA; Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA.
Genevieve F DuntonDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA; Department of Psychology, University of Southern California, Los Angeles, CA, USA.
University of Southern California · USChicago Department of Public Health · USNortheastern University · USUniversity of Minnesota · US

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Using real-time data capture to examine affective mechanisms as mediators of physical activity adherence in interventionsR01CA272933 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Genevieve Fridlund Dunton · 2022 to 2026
$3.4M
Microtemporal Processes Underlying Health Behavior Adoption and MaintenanceU01HL146327 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUNTON, GENEVIEVE FRIDLUND, INTILLE, STEPHEN S · 2018 to 2022
$2.9M
NCI NIH HHS R01 CA272933NHLBI NIH HHS U01 HL146327NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

backgroundUnderstanding affect as a determinant of physical activity has gained increased attention in health behavior research. Fluctuations in affect intensity from moment-to-moment (i.e., affective variability) may interfere with cognitive and regulatory processes, making it difficult to engage in goal-directed behaviors such as physical activity. Preliminary evidence indicates that those with greater trait-level affective variability engage in lower levels of habitual physical activity. However, the extent to which daily fluctuations in affect variability are associated with same-day physical activity levels is unknown. This study used ecological momentary assessment (EMA) to investigate day-level associations between affective variability (i.e., within-subject variance) and physical activity.

methodsYoung adults (N = 231, M = 23.58 ± 3.02 years) provided three months of smartphone-based EMA and smartwatch-based activity data. Every two weeks, participants completed a 4-day EMA measurement burst (M = 5.17 ± 1.28 bursts per participant). Bursts consisted of hourly randomly-prompted EMA surveys assessing momentary positive-activated (happy, energetic), positive-deactivated (relaxed), negative-activated (tense, stressed), and negative-deactivated (sad, fatigued) affect. Participants continuously wore a smartwatch to measure physical activity across the three months. Mixed-effects location scale modeling examined the day-level associations of affective variability (i.e., positive-activated, positive-deactivated, negative-activated, and negative-deactivated) and physical activity, controlling for covariates such as mean levels of affect, between-subject effects of physical activity, time of day, day of week, day in study, and smartwatch wear time.

resultsThere were 41,546 completed EMA surveys (M = 182.22 ± 69.82 per participant) included in the analyses. Above and beyond mean levels of affect, greater day-level variability in positive-activated affect was associated with greater physical activity on that same day compared to other days (τ = 0.01, p < .001), whereas greater day-level variability in negative-deactivated affect was associated with less physical activity on that same day compared to other days (τ = -0.01, p < .001). Day-level variability in positive-deactivated affect or negative-activated affect were not associated with day-level physical activity (ps > .05)

conclusionsIndividuals were less active on days with greater variability in feeling sad and fatigued but more active on days with greater variability in feeling happy and energetic. Understanding the dynamic relationships of affective variability with day-level physical activity can strengthen physical activity interventions by considering how these processes differ within individuals and unfold within the context of daily life. Future research should examine causal pathways between affective variability and physical activity across the day.

Indexed as

Ecological Momentary AssessmentExerciseAdultHealth BehaviorHumansSmartphoneSurveys and QuestionnairesYoung AdultAffectAffective statesAmbulatory assessmentEcological Momentary AssessmentPhysical activityVariability

Identifiers

PMID37805039
PMCPMC10842154
OpenAlexW4387358732

What OpenQuestion holds

Textmetadata
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Registered trials

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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.