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Record W4293067486 · doi:10.1519/jpt.0000000000000364

Differences in Balance Confidence, Fear of Falling, and Fall Risk Factors Among White and Black Community-Dwelling Older Adults

2022· article· en· W4293067486 on OpenAlexaboutno aff
Allison A. Bay, Smrithi Ramachandran, Liang Ni, Todd Prusin, Madeleine E. Hackney

Bibliographic record

VenueJournal of Geriatric Physical Therapy · 2022
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
FundersParkinsonfondenNational Institute on AgingPatient-Centered Outcomes Research InstituteEmory UniversityNational Parkinson FoundationU.S. Department of Veterans Affairs
KeywordsFear of fallingBalance (ability)Logistic regressionConfidence intervalOdds ratioPoison controlFalling (accident)MedicinePsychologyOrdered logitGerontologyInjury preventionDemographyPhysical therapyPsychiatryStatisticsEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Falling among older adults is common and can cause chronic health complications. Fear of falling, a lasting concern about falling that can lead an individual to avoid activities he or she can perform, is strongly associated with falling and fall risk. Although White older adults fall more often, Black older adults have more fall risk factors. The purpose of this study was to investigate factors that explain fear of falling and differences between White and Black community-dwelling older adults in fear of falling, balance confidence, and fall risk factors. METHODS: Using a cross-sectional, retrospective design, 84 community-dwelling older adults (mean age [SD] = 69.0 [5.2], range: 55-80; White, n = 37, 44%; Black, n = 47, 56%, M/F = 20/64) were assessed. Assessments were conducted in a laboratory for human studies. Fall history and risk factors, and subjective fear of falling, were collected. The Montreal Cognitive Assessment (MoCA), Activities-Specific Balance Confidence (ABC) score, preferred, backward, and fast Gait Speed, Short Form-12 Physical and Mental Component Scores, fear of falling rating scale, and demographics questionnaires were administered. Analyses included a proportional odds logistic regression model to examine which factors predicted ABC score and which factors were associated with subjective fear of falling, 1-way analysis of variance for continuous variables, the Fisher exact test for categorical variables, and the Mann-Whitney-Wilcoxon test for ordinal variables. RESULTS: Black participants had significantly fewer years of education ( P = .007), lower MoCA scores ( P = .002), and slower fast gait speed ( P = .032) than White participants. Black participants reported less subjective fear of falling ( P = .043). In the final ABC model (Akaike information criterion 208.26), lower ABC scores were predicted by White race, slower preferred and fast gait speeds, and worse Short Form-12 Mental Composite Scores. DISCUSSION: Despite Black participants demonstrating typical characteristics of higher fall risk including lower cognitive scores, slower gait speed, and lower ABC scores, Black participants reported fewer falls. Understanding racial differences is an important factor in fear of falling and balance confidence. CONCLUSION: Reasons for racial differences should be examined further in fear of falling and balance confidence to facilitate the development of patient-centered falls prevention physical therapy programs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.313
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2022
Admission routes1
Has abstractyes

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