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Record W4387699116 · doi:10.1159/000534651

Prevalence and Quality of Life among Overweight and Obese Women with Different Severity and Types of Urinary Incontinence

2023· article· en· W4387699116 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Principles and Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsMcGill University
FundersKuwait University
KeywordsOverweightMedicineObesityUrinary incontinenceQuality of life (healthcare)Cross-sectional studyPhysical therapyInternal medicineSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: Urinary incontinence (UI) is an involuntary leakage of urine and affects the social, physical, and psychological aspects of many individuals worldwide. The purpose of our study was to examine the prevalence, quality of life (QoL), severity, and different types of UI in overweight and obese women. METHODS: We conducted a cross-sectional study of 1,351 consecutive patients, who were recruited between June 2021 and May 2022. RESULTS: The mean age of the patients was 39.7 ± 14.2 years with less than a half in the 19-35-year age group (46.9%); 65% of the subjects were overweight or obese. The overall prevalence of UI was 61.2%. Overweight and obesity accounted to 70.2% of patients with mild to very severe UI. The risk estimates to have UI were 1.84 in overweight and 5.4 in obese group. The risk estimate for severe and very severe UI was 2.33 in overweight and 10.34 in obese group. When considering all subtypes, 67.9% of women with overweight and obesity had any of the subtypes, urge UI, stress UI, and mixed UI. Overweight and obesity were significantly associated with poor QoL in women with UI (p < 0.0001). Among 36.1% of all patients with poor QoL, 79.9% were overweight and obese. CONCLUSIONS: Overweight and obesity are important risk factors of UI affecting daily activity and QOL considerably. As the number of people with obesity is increasing, the prevalence of UI with increased severity is likely to increase in young to mid-aged women. Weight loss should be considered as first-line treatment for this patient population.

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.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.007
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.312
Teacher spread0.280 · 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