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Record W4404993115 · doi:10.3390/healthcare12232440

The Prevalence and Risk Factors of Stress Urinary Incontinence Among Women in Saudi Arabia: A Systematic Review and Meta-Analysis

2024· review· en· W4404993115 on OpenAlexaboutno aff
Mohammed Abdullah Saad Alhamoud, Fatimah Ali Julaih, Hadi Dhafer Hadi Al-Aqil, Naif A. R. Almalki, Faisal Alharthi, Ahmed Abdullah Alghamdi, M. AlAsiri, Abdullah Sulaiman Alaqil, Bandar Naffaa Alhumaidi, Ariana Saraiva, Conrado Carrascosa, António Raposo

Bibliographic record

VenueHealthcare · 2024
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisUrinary incontinenceMedicineObstetricsGynecologyInternal medicineUrology

Abstract

fetched live from OpenAlex

Background: Stress urinary incontinence (SUI) is a prevalent condition among women in Saudi Arabia, characterized by involuntary urine leakage during physical activities that increase abdominal pressure, such as coughing or sneezing. This systematic review and meta-analysis aimed to evaluate the prevalence of SUI and identify its key risk factors. Methods: A comprehensive search of PubMed, Scopus, and Web of Science was conducted for studies published up to July 2024, following PRISMA 2020 guidelines. Results: Ten observational studies involving 18,245 participants met the inclusion criteria, and study quality was assessed using the Newcastle–Ottawa Scale. A random-effects model was employed for meta-analysis, with subgroup and sensitivity analyses performed to address heterogeneity. The pooled prevalence of SUI was 26% (95% CI: 14–41%, I2 = 99%, p < 0.001), with rates ranging from 3.3% to 50%. Subgroup analysis showed a prevalence of 17% (95% CI: 1–42%, I2 = 99%, p < 0.001) in the general population and 33% (95% CI: 19–48%, I2 = 99%, p < 0.001) in specific groups, such as postpartum women and those with low back pain. Significant risk factors included age, obesity, high parity, and chronic conditions like diabetes. Despite high heterogeneity, sensitivity analyses confirmed the robustness of these findings. Conclusions: The findings underscore the need for public health strategies focused on weight management, pelvic floor rehabilitation, and increased awareness about SUI. Effective preventive measures could significantly reduce the burden of SUI and improve the quality of life for women in Saudi Arabia.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.711
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0000.001
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 head0.059
GPT teacher head0.365
Teacher spread0.305 · 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

Citations9
Published2024
Admission routes1
Has abstractyes

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