Bibliographic record
Abstract
Objective: To determine the impact of endometriosis on the quality of life, risk of anxiety and risk of depression among Filipino women in a tertiary hospital.Methodology: A cross-sectional descriptive study was conducted in 210 women aged 18-50 diagnosed with endometriosis.Short Form McGill Pain Questionnaire (SF-MPQ) was used to assess the degree of pain symptoms.World Health Organization Quality of Life Tool (WHOQOL-BREF), Hamilton Anxiety Scale (HAM-A) and Hamilton Depression Scale (HAM-D) were used to evaluate the quality of life, anxiety and depression of the respondents.Series of paired t-test and Spearman's rho rank correlation were performed to determine the differences in the average outcomes and to determine the relationship of the level of pain to the outcome measures.The level of significance for all sets of analysis was at a Pvalue less than 0.05 using two-tailed comparison.Results: The average sensory pain, average affective pain and overall perceived pain of women with endometriosis were characterized as mild to severe discomfort.Quality of life was very satisfactory to excellent.Incidence of depression was 61.90% while incidence of anxiety was 40.48% signifying risk of mental or mood disorders.Pain perception has positive relationship with the incidence of anxiety and depression.Other gynecologic conditions, including infertility, myoma uteri, adenomyosis, in conjunction with endometriosis, do not contribute significantly in the outcomes measured.Conclusion: Pelvic endometriosis is associated with mild to severe pain which supposed to negatively affect the quality of life, however, not manifested among Filipino women.Pain significantly affect women's psychological well-being and mental health as manifested by increased incidence of anxiety and depression in women experiencing pain.Management of endometriosis is complex and influenced by various dimensions including immunological, psychosocial and mental health, hence a multi-disciplinary approach is necessary in the management of such a debilitating and chronic disease.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.288 | 0.134 |
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".