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Record W2957486577 · doi:10.1590/1980-5918.032.ao11

Quality of life in obese women with symptoms of urinary incontinence

2019· article· en· W2957486577 on OpenAlexaff
Eli Maria Pazzianotto‐Forti, Patrícia Brigatto, Letícia Baltieri, José Eustáquio de Souza Júnior, Elaine Caldeira de Oliveira Guirro, Karina Tamy Kasawara

Bibliographic record

VenueFisioterapia em Movimento · 2019
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Body mass indexUrinary incontinenceObesityQuartilePhysical therapyGerontologyInternal medicineSurgeryConfidence interval

Abstract

fetched live from OpenAlex

Abstract Introduction: Obesity is a contributing factor to the development of urinary incontinence (UI). Objective: The objective of this study was to evaluate the prevalence of UI symptoms in women with morbid obesity and their impacts on quality of life (QOL), correlating the influence of age and body mass index (BMI) with the presence of UI. Method: Sixty-five women undergoing preoperative bariatric surgery, aged 35.8 ± 9.97 years, with an average BMI of 45.04 ± 6.79 kg/m2 were asked about the presence of UI symptoms; when they answered positively, the King’s Health Questionnaire (validated into Portuguese) was applied. The questionnaire was self-administered and all answers were assigned numerical scores. These scores were distributed according to quartiles and correlated with age and BMI. The level of hypothesis rejection was 5%, and analyses were performed using BioEstat software version 5.3. Results: Among 65 interviewees, 19 (29.23%) had symptoms of UI and went on to answer the questionnaire. The highest-scoring areas were “incontinence impact” (36.8) and “general health perception” (32.9). There was no significant correlation between questionnaire scores and BMI. In the association with age, the “incontinence impact” domain showed a significant, positive and moderate correlation (r = 0.52; p = 0.02). Conclusion: The prevalence of UI symptoms in the sample had a slight negative effect on QOL; however, UI associated with older ages significantly affected the QOL of the studied volunteers.

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)0.000
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 score0.009
Threshold uncertainty score0.632

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.010
GPT teacher head0.270
Teacher spread0.260 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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