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Record W4406422768 · doi:10.3389/fpubh.2024.1496539

Potential profiling of social alienation in older female patients with stress urinary incontinence

2025· article· en· W4406422768 on OpenAlexaboutno aff
Yakun Li, Hongxia Wang

Bibliographic record

VenueFrontiers in Public Health · 2025
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
Fundersnot available
KeywordsUrinary incontinenceAlienationProfiling (computer programming)MedicinePsychologyGerontologyClinical psychologyUrologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Background With the global trend of aging, stress urinary incontinence is becoming more common in older adults, which may have some impact on patients' quality of life. Social alienation can generate negative emotions such as anxiety, depression, loneliness, and morbid stigma, and reduce patients' quality of life. However, the current status of social alienation is different among different older adult female patients with stress urinary incontinence. Therefore, this study categorizes older adult female stress urinary incontinence patients through potential analysis to understand the category characteristics of social alienation level of older adult female stress urinary incontinence patients, and explores the influencing factors of social alienation level of different categories of older adult female stress urinary incontinence patients, which can provide a reference to personalized intervention programs for the characteristics of social alienation of older adult female stress urinary incontinence in the future. Method A convenience sampling method was used to select 365 cases of older adult female stress urinary incontinence patients from March 2023 to April 2024 in three communities in Jinzhou City. The General Information Questionnaire, the Family Care Index Scale, the Toronto Alexithymia Scale, and the General Alienation Scale were used to conduct the survey. Results A total of 365 respondents were included, and three potential categories of social alienation were finally identified, namely, low social alienation (29.0%), medium social alienation-self alienation (49.4%), and high social alienation (21.6%). The results of multifactorial logistic regression analysis showed that occupational status, marital status, whether living alone, place of residence, BMI, whether other chronic diseases, level of narrative disorders, and level of family care were the influencing factors of social alienation in older adult female patients with stress urinary incontinence (P < 0.05). Conclusion The social alienation of older adult female patients with stress urinary incontinence is characterized by a significant number of categories, and healthcare professionals can identify the characteristics and influencing factors of each category at an early stage, which can provide a basis for the development of targeted clinical interventions to help patients reduce the level of social alienation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.009
GPT teacher head0.274
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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".

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Citations4
Published2025
Admission routes1
Has abstractyes

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