Evidence map›Paper›PMID 33049698›Full record

ArticleJournal of aging and physical activity2021

Examining Multilevel Environmental Correlates of Physical Activity Among Older Adults With Multiple Sclerosis.

Stephanie L Silveira, Jessica F Baird, Robert W Motl

Abstract read
In one paragraph

Article in Journal of aging and physical activity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Cardiorespiratory fitness and moderate-to-vigorous physical activity in older adults with multiple sclerosis.Multiple sclerosis journal - experimental, translational and clinical · 2021
    Article
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

3 authors.

Stephanie L Silveira
Jessica F Baird
Robert W Motl

Funding

Interdisciplinary Training in Pathobiology and Rehabilitation Medicine.T32HD071866 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JAMES RIMMER, Anna E. Thalacker-Mercer · 2012 to 2026
$4.8M
The essentiality of serine and glycine for skeletal muscle regeneration in agingR01AG075059 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI THALACKER-MERCER, ANNA E. · 2022 to 2025
$1.5M
NIA NIH HHS R01 AG075059NICHD NIH HHS T32 HD071866
6 · The paper itself

Abstract

Three hundred and sixty-three older adults with multiple sclerosis completed a cross-sectional study examining hierarchical correlates of physical activity using a social cognitive theory perspective within a social ecological model (i.e., built environment, social environment, and individual social cognitive theory variables). Hierarchical linear regression analyses were conducted, wherein significant associations were noted for built environment (i.e., land-use mix diversity and aesthetics) and physical activity in Step 1 (R2 = .09). Social and built environment were significant correlates in Step 2 (R2 = .15). Finally in Step 3, individual social cognitive theory variables (i.e., self-efficacy and outcome expectations) were the only significant correlates of total physical activity (R2 = .38). Results were comparable for health-promoting physical activity; however, self-efficacy was the only significant correlate in Step 3 (R2 = .36). This study provides guidance for researchers and practitioners on relevant targets for tailoring interventions for older adults with multiple sclerosis and supports an emphasis on self-efficacy as a primary predictor of health behavior change.

Indexed as

Multiple SclerosisAgedCross-Sectional StudiesExerciseHealth BehaviorHumansSelf Efficacybuilt environmentpsychological theoryself-efficacysocial environmentsocial support

Identifiers

PMID33049698
PMCPMC8035255

What OpenQuestion holds

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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.