The Severity of Urinary Incontinence Decreases Health-Related Quality of Life among Community-Dwelling Elderly
Bibliographic record
Abstract
BACKGROUND: Urinary incontinence (UI) is an important geriatric syndrome that has been associated with a wide range of health-related outcomes. However, UI severity has rarely been examined in the context of a comprehensive geriatric assessment. Therefore, the aim of this study is to examine the association between UI severity and health-related quality of life (QoL) when frequent geriatric issues are taken into account. METHODS: We performed a cross-sectional study of 1,124 participants aged 70 y and older. UI was diagnosed when difficulty with urinary continence was reported, and its severity was assessed through a modified version of the Sandvik Index. Health-related QoL was measured using the SF-36, including its physical and mental component summaries. Multivariate linear regression was performed to determine the association between UI severity and health-related QoL. RESULTS: Prevalence of UI was 18%, and it was severe in 29.3% of cases. Severely incontinent subjects were older and had worse self-perceived health status, greater disability, and more depressive symptoms in comparison with continent participants or with those affected to a lesser degree. Multivariate regression analysis showed a significant inverse association between the physical component summaries and moderate (B = -4.54) as well as severe UI (B = -6.72). The mental component summaries showed similar results (B = -1.44 and -4.43, respectively). CONCLUSIONS: UI severity is associated with lower QoL scores in both its components. This association appears to be more important as severity increases. UI severity must be evaluated thoroughly in the elderly because of its potential adverse effects on physical and mental health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".