Evidence map›Paper›PMID 28914724›Full record

Trial reportPsychosomatic medicine2018

Role of Brain Structure in Predicting Adherence to a Physical Activity Regimen.

Swathi Gujral, Edward McAuley, Lauren E Oberlin, Arthur F Kramer, Kirk I Erickson

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Psychosomatic medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline 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

5 authors.

Swathi GujralFrom the Department of Psychology (Gujral, Oberlin, Erickson), University of Pittsburgh, Pennsylvania; Center for Neural Basis of Cognition (Gujral, Oberlin, Erickson), Carnegie Mellon University and University of Pittsburgh, Pennsylvania; Department of Kinesiology and Community Health (McAuley), University of Illinois at Urbana-Champaign; and Department of Psychology (McAuley, Kramer), Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign.
Edward McAuley
Lauren E Oberlin
Arthur F Kramer
Kirk I Erickson

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
RESEARCH METHODS COREP30MH090333 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REYNOLDS, CHARLES F. · 2011 to 2015
$8.3M
Influence of Exercise on Neurocognitive Function in Breast CancerR01CA196762 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENDER, CATHERINE M., ERICKSON, KIRK I · 2016 to 2020
$3.0M
Influence of Physical Activity and Weight Loss on Brain PlasticityR01DK095172 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ERICKSON, KIRK I · 2012 to 2016
$2.1M
Aging and multi-task trainingR01AG025032 · NIA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI KRAMER, ARTHUR F. · 2005 to 2008
$1.2M
Influence of Fitness and Cognitive Training on Brain and CognitionR01AG025667 · NIA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MCAULEY, EDWARD · 2015 to 2015
$497k
NCI NIH HHS R01 CA196762NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG025032NIA NIH HHS R01 AG025667NIDDK NIH HHS R01 DK095172NIMH NIH HHS P30 MH090333
6 · The paper itself

Abstract

objectivePhysical activity (PA) is important for maintaining health throughout the lifespan. However, adherence to PA regimens is poor with approximately 50% of older adults terminating activity intervention programs within 6 months. In this study, we tested whether gray matter volume and white matter microstructural integrity before the initiation of a PA intervention predicts PA adherence.

methodsOne hundred fifty-nine adults aged 60 to 80 years were randomly assigned to a moderate-intensity aerobic walking condition or a nonaerobic stretching and toning condition. Participants engaged in supervised exercise 3 times per week for 12 months. Data were collected for a period of 1 year. Voxel-based morphometry and tract-based spatial statistics protocols were used to process neuroimaging data, and ordinary least squares regression models with bootstrapping were used to analyze voxelwise neural predictors of PA adherence.

resultsGreater volume in several regions predicted greater PA adherence, including prefrontal, motor, somatosensory, temporal, and parietal regions (p < .01). We also found that higher fractional anisotropy in several white matter tracts predicted greater PA adherence (pFDR-corrected < .05), including the superior longitudinal fasciculus, anterior thalamic radiation, forceps minor, and body of the corpus callosum.

conclusionsThese findings provide preliminary support for macro- and microstructural neural predictors of PA adherence and may translate to other health behaviors and behavioral goal pursuit more broadly.

Indexed as

AgedAged, 80 and overCerebral CortexDiffusion Tensor ImagingExerciseFemaleHealth BehaviorHumansMagnetic Resonance ImagingMaleSelf EfficacyWhite Matter

Identifiers

PMID28914724
PMCPMC6411299

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.