Evidence map›Paper›PMID 39316795›Full record

ArticleJournal of medical Internet research2024

mHealth Physical Activity and Patient-Reported Outcomes in Patients With Inflammatory Bowel Diseases: Cluster Analysis.

Ashley C Griffin, Lucas Mentch, Feng-Chang Lin, Arlene E Chung

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

4 authors.

Ashley C GriffinVA Palo Alto Health Care System, Palo Alto, CA, United States.ORCID 0000-0002-1535-0797
Lucas MentchDepartment of Statistics, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-8983-0320
Feng-Chang LinDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-2638-1775
Arlene E ChungDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-4821-0256

Funding

North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
An Interdisciplinary Program for Advanced Training in Health Data AnalyticsT15LM012500 · NLM · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOSTAFA, JAVED · 2017 to 2021
$2.9M
QuBBD: Statistical & Visualization Methods for PGHD to Enable Precision Medicine R01EB025024 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHUNG, ARLENE E. · 2017 to 2019
$918k
NCATS NIH HHS UM1 TR004406NIBIB NIH HHS R01 EB025024NLM NIH HHS T15 LM012500
6 · The paper itself

Abstract

backgroundRegular physical activity is associated with improved quality of life in patients with inflammatory bowel diseases (IBDs), although much of the existing research is based on self-reported data. Wearable devices provide objective data on many rich physical activity dimensions including steps, duration, distance, and intensity. Little is known about how patients with IBDs engage in these varying dimensions of exercise and how it may influence their symptom and disease-specific patient-reported outcomes (PROs).

objectiveThis study aims to (1) cluster physical activity patterns from consumer-grade wearable devices and (2) assess the relationship between the clusters and PROs in patients with IBDs.

methodsWe conducted a cross-sectional and longitudinal cohort study among adults with IBDs in the Crohn's and Colitis Foundation IBD Partners cohort. Participants contribute physical activity data through smartphone apps or wearable devices in a bring-your-own-device model. Participants also complete biannual PRO questionnaires from the Patient-Reported Outcomes Measurement Information System short forms and IBD-specific questionnaires. K-means cluster analysis was used to generate physical activity clusters based on 3 key features: number of steps, duration of moderate to vigorous activity (minutes), and distance of activity (miles). Based on the clusters, we conducted a cross-sectional analysis to examine differences in mean questionnaire scores and participant characteristics using one-way ANOVA and chi-square tests. We also conducted a longitudinal analysis to examine individual cluster transitions among participants who completed multiple questionnaires, and mean differences in questionnaire scores were compared using 2-tailed paired sample t tests across 6-month periods.

resultsAmong 430 participants comprising 1255 six-week physical activity periods, we identified clusters of low (33.7%, n=423), moderate (46%, n=577), and high (20.3%, n=255) physical activity. Scores varied across clusters for depression (P=.004), pain interference (P<.001), fatigue (P<.001), sleep disturbance (P<.001), social satisfaction (P<.001), and short Crohn Disease Activity Index (P<.001), with those in the low activity cluster having the worst scores. Sociodemographic characteristics also differed, and those with low physical activity were older (P=.002), had higher BMIs (P<.001), and had longer disease durations (P=.02) compared to other clusters. Among 246 participants who completed at least 2 consecutive questionnaires consisting of 726 questionnaire periods, 67.8% (n=492) remained in the same cluster, and only 1.2% (n=9) moved to or from the furthest clusters of low and high activity across 6-month periods.

conclusionsFor patients with IBDs, there were positive associations between physical activity and PROs related to disease activity and psychosocial domains. Physical activity patterns mostly did not fluctuate over time, suggesting little variation in exercise levels in the absence of an intervention. The use of real-world data to identify subgroups with similar lifestyle behaviors could be leveraged to develop targeted interventions that provide support for psychosocial symptoms and physical activity for personalized IBD care.

Indexed as

ExerciseInflammatory Bowel DiseasesPatient Reported Outcome MeasuresTelemedicineAdultCluster AnalysisCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedQuality of LifeSurveys and QuestionnairesWearable Electronic Devicesbowel diseasecluster analysisinflammatory bowel diseasesmedical informaticsmHealthmobile healthmobile phonepatient-reported outcome measuresphysical activitypsychosocialsmartphonewearable electronic deviceswearables

Identifiers

PMID39316795
PMCPMC11462094

What OpenQuestion holds

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LicenceCC BY
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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.