The attitude and awareness of students of medical university concerning issues of reproductive health and pregravid training from positions of “4P Medicine”
Bibliographic record
Abstract
The young generation aged 16-24 years is the main demographic national reserve for coming decades. Hence, the purpose of the study is to investigate attitude of modern youth exemplified by students of medical university to establishing family, marriage and birth of children, and also their awareness about issues of reproductive health and training of couple to birth of healthy progeny considering modern approaches of personalized "4P Medicine". The survey of medical students was carried out on the basis of sampling of 193 students in November 2019 to February 2020. The survey data was processed using software SPSS 21. The indices of descriptive and analytical statistics were calculated to analyze study results. The low awareness of medical students on issues of pregravid training and modern approaches of personalized «4P Medicine» was established. Despite the fact that significant number of students understand importance of improving their awareness of reproductive health and pregravid training from positions of "4P Medicine", about quarter of all respondents never pondered about these issues. The majority of respondents lead healthy life-style and understand its importance for their health, including reproductive health. The students have positive attitudes to establishment of family and birth of children. It is necessary to improve awareness of medical students of reproductive health, pregravid training and main principles of personalized "4P Medicine".
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".