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The effect of comprehensive intervention on enhancing subjective well - being of the empty nest elderly patients with urinary incontinence

2010· article· en· W3030389893 on OpenAlexaboutno aff
Xiaoling Xiao, Jihui Zhang, Jiezhen Liu

Bibliographic record

VenueInternational journal of nursing · 2010
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
Fundersnot available
KeywordsUrinary incontinenceHappinessIntervention (counseling)MedicineQuality of life (healthcare)Physical therapyUrinary systemPsychologyUrologyNursingInternal medicinePsychotherapist

Abstract

fetched live from OpenAlex

Objective To study the effect of comprehensive intervention on enhancing subjective well - being of the empty nest elderly patients with urinary incontinenceMethods A total of 56 patients were divided into control and experimental groups, each group had 28 cases. The experimental group was given the comprehensive intervention, and Memorial University of Newfoundland Happiness Scale (MUNSH) was used before and after the intervention. Results After intervention, the subjective well - being of the empty nest elderly patients with urinary incontinence was improved, and the subjective well - being of husband and wife residing together group was better than that of living alone group. At the same time, after intervention, the patients' symptoms of urinary incontinence was improved significantly. Conclusions Comprehensive intervention will improve mental health and healthy lifestyles of the empty nest elderly patients with urinary incontinence, help them form a positive mind and adherer to recovery training, so that the quality of life and subjective well - being will be improved. Key words: Empty nest elderly;  Urinary incontinence;  Subjective well- being

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 score0.066
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.005
GPT teacher head0.282
Teacher spread0.277 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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