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Record W4225740838

Association Between Fear of Falling and Frailty in Community-Dwelling Older Adults: A Systematic Review

2022· review· en· W4225740838 on OpenAlexaboutno aff
Larissa Franciny de Souza, Jaquelini Betta Canever, Bruno de Souza Moreira, Ana Lúcia Danielewicz, Núbia Carelli Pereira de Avelar

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typereview
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGerontologyFear of fallingCINAHLChecklistCross-sectional studyObservational studyLongitudinal studyMEDLINEPoison controlInjury preventionPsychological interventionEnvironmental healthPsychiatryPsychology
DOInot available

Abstract

fetched live from OpenAlex

Larissa Franciny de Souza,1 Jaquelini Betta Canever,1 Bruno de Souza Moreira,2 Ana Lúcia Danielewicz,1 Núbia Carelli Pereira de Avelar1 1Laboratory of Aging, Resources and Rheumatology, Department of Health Sciences, Federal University of Santa Catarina, Araranguá, Santa Catarina, Brazil; 2René Rachou Institute, Oswaldo Cruz Foundation (Fiocruz Minas), Belo Horizonte, Minas Gerais, BrazilCorrespondence: Bruno de Souza MoreiraRené Rachou Institute, Oswaldo Cruz Foundation (Fiocruz Minas), Augusto de Lima Avenue 1715, Barro Preto, Belo Horizonte, Minas Gerais, 30190-002, Brazil, Tel +55 31 3349-7707, Email brunosouzamoreira@gmail.comBackground/Objective: Fear of falling (FoF) and frailty are common problems in older adults. FoF can lead to self-imposed restriction of activities and then further decline in physical capacities that predispose older adults to frailty. Evaluating the association of these two geriatric syndromes may be the first step for understanding their complex relationship and might ultimately lead to establishing therapeutic goals and guiding treatments for older adults with frailty. This systematic review was conducted to provide evidence regarding the association between FoF and frailty.Methods: All the articles that provided information on the association between FoF and frailty were selected from PubMed, Scopus, CINAHL, and EMBASE in search of relevant papers. Articles reporting information on the association between FoF (exposure) and frailty (outcome), with older adults (age ≥ 60 years) living in the community (ie, living either at home or in places of residence that do not provide nursing care or rehabilitation) were included. Only original articles with observational design (cross-sectional or longitudinal/cohort) were included. The methodological quality of included articles was evaluated independently by the two assessors through the Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute (JBI) critical appraisal checklist for longitudinal and cross-sectional studies, respectively.Results: The initial searches found 4,342 articles, of which 10 articles were included in this review: 7 cross-sectional and 2 longitudinal studies, and 1 study with cross-sectional and longitudinal analyses. The total sample was composed of 6,294 community-dwelling older adults (61.8% women). Among the longitudinal studies, adjusted odds ratios ranged from 1.18 (95% CI = 1.02; 1.36) to 9.87 (95% CI = 5.22; 18.68), while the adjusted odds ratios of the cross-sectional studies ranged from 1.04 (95% CI = 1.02; 1.07) to 7.16 (95% CI = 2.34; 21.89).Conclusion: FoF increases the risk of frailty in community-dwelling older adults. The knowledge of this association is of utmost importance in clinical practice, since it can help health professionals in the development of rehabilitation, prevention, and health promotion protocols. In addition, these findings can contribute to the development of public health policies and actions aimed at reducing the FoF and consequently the frailty.Prospero: CRD42021276775.Keywords: fear of falling, frailty, older adults, systematic review, geriatric syndromes

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.330
GPT teacher head0.560
Teacher spread0.230 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations64
Published2022
Admission routes1
Has abstractyes

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