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Record W2890109985 · doi:10.1177/0898264318799223

Urinary Incontinence Is Associated With Physical Performance Decline in Community-Dwelling Older Women: Results From the International Mobility in Aging Study

2018· article· en· W2890109985 on OpenAlexafffundabout
Luana Caroline de Assunção Cortez Corrêa, Catherine M. Pirkle, Yan Yan Wu, Afshin Vafaei, Carmen‐Lucía Curcio, Saionara Maria Aires da Câmara

Bibliographic record

VenueJournal of Aging and Health · 2018
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsLakehead University
FundersInstitute of AgingFogarty International CenterCanadian Institutes of Health Research
KeywordsUrinary incontinenceMedicineGerontologyBody mass indexParity (physics)Physical activityDemographyPhysical therapySurgery

Abstract

fetched live from OpenAlex

Objective: The objective of this study is to evaluate the influence of urinary incontinence (UI) on physical performance. Method: In prospective analyses from the International Mobility in Aging Study (IMIAS), 915 women (65-74 years) from Canada, Colombia, Albania, and Brazil were evaluated in relation to self-reported UI (past week) and physical performance (Short Physical Performance Battery [SPPB]), with reevaluation after 2 years. Linear mixed models examined the influence of UI on SPPB, adjusted by covariates (age, study site, education, income sufficiency, body mass index [BMI] and parity). Results: Women reporting some UI presented lower SPPB mean (β = −0.41, p = .009) and a greater reduction (β = −0.53, p = .001) over 2 years than those reporting no UI. Discussion: Compared with no reported UI, some UI was associated with worse and more pronounced declines in physical performance over 2 years. This study highlights the importance of practices to reduce UI to contribute to healthier aging.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.066
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.342
Teacher spread0.308 · 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.

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

Citations33
Published2018
Admission routes3
Has abstractyes

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