Emotional problems of Infertile Egyptian women
Bibliographic record
Abstract
Background : Infertility is a very stressful life experience where women may experience emotional distress, threat, depression, anxiety, phobia, disappointment and marital problems. Overall prevalence of emotional problems among infertile couples has been estimated to be around 25%-60%. So the aim of our study was to determine emotional problems among a group of infertile women in Egypt. Methods : A convenient sample of 300 women was recruited for the purpose of this study. The study was implemented at infertility unit and Out–patient gynaecologic section at El-Kasr El-Aini Hospital Cairo university-Egypt. Structured Self-administered questionnaire was used for data collection consists of two parts: Part I which included participants socio-demographic characteristics. Part II: A developed profile of emotional problems was used to assess the emotional problems of the infertile women in terms of anxiety, phobia, obsession, psychosomatic symptoms, depression, and hysterical manifestations.} Results : Revealed that anxiety (83%) was the most significant emotional problems among studied subjects, followed by depression (77%), obsession (72%), psychosomatic disorders (65%), phobia (52%), and hysterical manifestation (2%). The levels of emotional problems had significant associated with subjects' age, level of education, duration of marriage and presence of children. Conclusions : There are high prevalence of emotional problems among infertile women, the study yielded that causes of infertility were mainly related to female factors. Emotional problems of the studied subjects ranked descending; anxiety, depression, obsession, psychosomatic disorders, phobia, and hysterical manifestation. So, it seems that more serious attention is required from nurses, gynecologists, psychiatrists and psychologists for better treatment of these emotional problems. The use of supportive teaching program should be considered as part of the general therapeutic framework of infertility.
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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".