Evidence map›Paper›PMID 25964944›Full record

ArticleFrontiers in public health2015

Gait Speed among Older Participants Enrolled in an Evidence-Based Fall Risk Reduction Program: A Subgroup Analysis.

Jinmyoung Cho, Matthew Lee Smith, Tiffany E Shubert, Luohua Jiang, SangNam Ahn, Marcia G Ory

Abstract read
In one paragraph

Article in Frontiers in public health, 2015. 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
–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

5 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

6 authors.

Jinmyoung ChoCenter for Applied Health Research, Baylor Scott & White Health , Temple, TX , USA ; Department of Health Promotion and Community Health Science, Texas A&M Health Science Center School of Public Health , College Station, TX , USA.
Matthew Lee SmithDepartment of Health Promotion and Behavior, The University of Georgia , Athens, GA , USA ; Department of Health Promotion and Community Health Science, Texas A&M Health Science Center School of Public Health , College Station, TX , USA.
Tiffany E ShubertSchool of Medicine, University of North Carolina , Chapel Hill, NC , USA.
Luohua JiangDepartment of Epidemiology, School of Medicine, University of California , Irvine, CA , USA ; Department of Epidemiology and Biostatistics, Texas A&M Health Science Center School of Public Health , College Station, TX , USA.
SangNam AhnDivision of Health Systems Management and Policy, The University of Memphis , Memphis, TN , USA ; Department of Health Promotion and Community Health Science, Texas A&M Health Science Center School of Public Health , College Station, TX , USA.
Marcia G OryDepartment of Health Promotion and Community Health Science, Texas A&M Health Science Center School of Public Health , College Station, TX , USA.

Funding

NCCDPHP CDC HHS U48 DP000045
6 · The paper itself

Abstract

backgroundFunctional decline is a primary risk factor for institutionalization and mortality among older adults. Although community-based fall risk reduction programs have been widely disseminated, little is known about their impact on gait speed, a key indicator of functional performance. Changes in functional performance between baseline and post-intervention were examined by means of timed up and go (TUG), a standardized functional assessment test administered to participants enrolled in A Matter of Balance/Volunteer Lay Leader (AMOB/VLL) model, an evidence-based fall risk reduction program.

methodsThis study included 71 participants enrolled in an AMOB/VLL program in the Brazos Valley and South Plain regions of Texas. Paired t-tests were employed to assess program effects on gait speed at baseline and post-intervention for all participants and by subgroups of age, sex, living status, delivery sites, and self-rated health. The Bonferroni correction was applied to adjust inflated Type I error rate associated with performing multiple t-tests, for which p-values <0.0042 (i.e., 0.5/12 comparisons) were deemed statistically significant.

resultsOverall, gait speed of enrolled participants improved from baseline to post-intervention (t = 3.22, p = 0.002). Significant changes in TUG scores were observed among participants who lived with others (t = 4.45, p < 0.001), rated their health as excellent, very good, or good (t = 3.05, p = 0.003), and attended program workshops at senior centers (t = 3.52, p = 0.003).

conclusionFindings suggest community-based fall risk reduction programs can improve gait speed for older adults. More translational research is needed to understand factors related to the effectiveness of fall risk reduction programs in various populations and settings.

Indexed as

A Matter of Balance/Volunteer Lay Leader modelolder adultstimed up and go

Identifiers

PMID25964944
PMCPMC4410334

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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.