Hormonal and Psycho-Emotional Disorders in Women with Psychogenic Amenorrhea
Bibliographic record
Abstract
The pathogenetic aspects of stress on reproductive health and fertility of a woman are multi-vector, this is justified by the need for timely diagnosis and the development of new approaches to differentiated treatment of PA. Objective: to determine the characteristics of the hormonal profile, the psycho-emotional state and changes in the bioelectric activity of the brain in women with stress-induced psychogenic amenorrhea (PA). Material and Methods: The main group included 54 women with PA from 19 to 37 years, the control group – 25 healthy women from 18 to 35 years. Blood plasma FSH, LH, E2, P, Pr, DHEAS, C levels were checked by the immuno-enzymatic method, bioelectric activity measurement of the brain – with an electroencephalography, women psycho-emotional status – by the Spielberg-Hanin test, statistical data processing was performed using Windows SPSS 11.5. and was carried out by means of standard methods. Results: Patients were divided on 3 subgroups depend on significant (р<0.05) Prl or C or their combination levels increasing. The presence of nonspecific signs of activation of the structures of the brain stem in patients with PA was established by EEG with significantly (р<0.05) higher frequency. The analysis of the psycho-emotional status of women showed a high level of personal and reactive anxiety. Conclusions: The revealed features of hormonal imbalance and psycho-emotional status in women with PA indicate the necessity of involving adjacent specialists - neurologists and psychotherapists for timely and adequate examination with the appointment of differentiated pathogenetically substantiated treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 teacher head, 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".