Alexithymia and Quality of Life in Saudi Women with Polycystic Ovary Syndrome: A Community-Based Study
Bibliographic record
Abstract
BACKGROUND The endocrine metabolic disorder polycystic ovary syndrome (PCOS) is quite common among women. Women with PCOS show a compromised health-related quality of life (HRQoL), impaired emotional well-being, and alexithymia, a neuropsychological phenomenon conceptualized as difficulty in recognizing and expressing one's emotions. However, the relationship between alexithymia and HRQoL in women with PCOS is unclear. This study aimed to investigate the impact of alexithymia on HRQoL in women with PCOS in Saudi Arabia. MATERIAL AND METHODS This descriptive cross-sectional, community-based study enrolled 518 female patients with a diagnosis of PCOS from all age groups. The patients were surveyed via a self-administered questionnaire from December 2022 to January 2023. The survey encompassed sociodemographic data, the 20-item Toronto Alexithymia Scale (TAS-20), and HRQoL 15-dimensional scale (15D). RESULTS This study included 320 participants (61.8%) with alexithymia. A significant association was found between alexithymia and low HRQoL 15D scores in patients with PCOS. Specifically, scores on the TAS-20 subscales related to difficulty in identifying feelings and describing feelings were positively correlated with HRQoL (P=0.000). However, externally oriented thinking subscale scores were not positively correlated with HRQoL (P=0.44). CONCLUSIONS The presence of alexithymia is associated with poor HRQoL in women with PCOS, which is more pronounced among those who received a diagnosis ≥4 years ago. Alexithymia must be considered when assessing the HRQoL of patients with PCOS, considering the relatively high prevalence of alexithymia in these patients.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".