Alexithymia, Psychiatric Symptoms, And Quality Of Life In Females With Iron Deficiency Anaemia
Bibliographic record
Abstract
Background and Objectives: The objective is to recognise that anaemia can induce both psychological problems and physical ailments. This research sought to assess alexithymia, mental symptoms, and quality of life in female patients suffering from iron deficiency anaemia. Methods: The study comprised 150 healthy controls and 151 women diagnosed with iron-deficient anaemia. Alongside laboratory analyses, the Sociodemographic and Clinical Data Form, Beck Depression Scale (BDS), State-Trait Anxiety Inventory (STAI Form TX-1, TX-2), World Health Organisation Quality of Life Scale Short Form Turkish Version (WHOQOL-BREF-TR), and Toronto Alexithymia Scale (TAS-20) were administered to all participants. The Iron-deficiency Anaemia Group exhibited lower scores on the WHOQOL-BREF and STAI-1 while demonstrating a higher score on the Toronto Alexithymia Scale compared to the control group. The prevalence of iron-deficiency anaemia, Beck Depression Scale scores, and STAI Form TX-2 scores was elevated in the likely alexithymia group compared to the non-alexithymia group, whereas the WHOQOL-BREF-TR scores were diminished in the former group. The Toronto Alexithymia Scale score had a positive correlation with total iron binding capacity, the Beck Depression Scale, and the STAI Form TX-2 score, while demonstrating a negative correlation with haemoglobin, iron (Fe), and the WHOQOL-BREF-TR score. Multivariate analysis indicated that elevated total iron binding capacity (OR: 1.003, 95% CI: 1.000-1.006; p=0.044), increased STAI-2 score (OR: 1.098, 95% CI: 1.050-1.147; p< 0.001), and diminished WHOQOL-BREF score (OR: 0.966, 95% CI: 0.950-0.982; p< 0.001) were independently correlated with probable alexithymia or alexithymia. In conclusion, women with iron-deficient anaemia exhibit higher levels of alexithymia, alongside diminished state-trait anxiety and quality of life. The alexithymia levels in these patients correlate with elevated iron-binding capability, heightened anxiety, and diminished quality of life.
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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 | 0.000 | 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) | 0.002 | 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".