Evidence map›Paper›PMID 32343973›Full record

SynthesisArchives of physical medicine and rehabilitation2020

Immediate and Sustained Effects of Interventions for Changing Physical Activity in People with Multiple Sclerosis: Meta-analysis of Randomized Controlled Trials.

Yumi Kim, Tapan Mehta, Byron Lai, Robert W Motl

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Archives of physical medicine and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.3field-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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Yumi KimDepartment of Rehabilitation Science, School of Health Professions, University of Alabama at Birmingham, AL; University of Alabama at Birmingham/Lakeshore Foundation Research Collaborative, Birmingham, AL. Electronic address: yumikim@uab.edu.
Tapan MehtaUniversity of Alabama at Birmingham/Lakeshore Foundation Research Collaborative, Birmingham, AL; Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL.
Byron LaiUniversity of Alabama at Birmingham/Lakeshore Foundation Research Collaborative, Birmingham, AL; Division of Pediatric Rehabilitation Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Robert W MotlDepartment of Physical Therapy, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL.
University of Alabama at Birmingham · USLakeshore Foundation · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

objectivesTo examine the immediate and sustained effects of interventions for changing physical activity behavior in people with multiple sclerosis (MS), and to explore factors that might moderate intervention effects on physical activity behavior (eg, intervention type and duration, type of physical activity measurement, intensity of theory integration [degree of theory used in study design], and study quality). DATA SOURCES: Systematic searches were conducted in 4 databases, including MEDLINE, CINAHL, PsychINFO, and Google Scholar, in October 2017 and October 2018. Updated searches were conducted in September 2019 with 2 additional databases (Embase and Scopus) and enhanced search terms. STUDY SELECTION: Studies were included that (1) incorporated a randomized controlled trial design of interventions that targeted change in physical activity behavior in adults with MS, namely, exercise training and behavioral intervention (alone and combined); (2) included self-reported and/or device-measured physical activity as an outcome; and (3) contained pre- and post-intervention assessments. DATA EXTRACTION: Data were extracted for immediate (pre- to post-intervention) and sustained (pre-intervention to follow-up) physical activity outcomes and study characteristics. Weighted mean effect sizes were expressed as standardized mean differences (SMD). Heterogeneity between each categorical moderator was compared using Q between statistics. DATA SYNTHESIS: The mean SMD was 0.56 for immediate changes (n=24) and 0.53 for sustained changes (n=7) of physical activity outcomes. Self-reported physical activity measures yielded larger effects (SMD, 0.64; n=22) than those of device-measured physical activity (0.26; n=7). There appeared to be larger immediate effects of behavioral interventions (SMD, 0.71; n=9) than exercise training (SMD, 0.53; n=7) and combined interventions (0.37; n=8).

conclusionsCurrent evidence demonstrates that interventions are efficacious for increasing and potentially sustaining physical activity behavior in adults with MS. The effects appear to be optimized based on the delivery of behavioral interventions alone, and these interventions may be capable of supporting long-term behavior change.

Indexed as

Behavior TherapyExerciseHealth BehaviorHumansMultiple SclerosisRandomized Controlled Trials as TopicSelf ReportTime FactorsExerciseHealth behaviorMultiple sclerosisRehabilitation

Identifiers

PMID32343973
PMCPMC9159367
OpenAlexW3018881827

What OpenQuestion holds

Textmetadata
LicenceTDM
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.