Formation of Anthropometric, Functional and Psychophysiological Indicators in Students of Medical Colleges under the Influence of Physical Activity
Bibliographic record
Abstract
Purpose: to define the dynamics of physical development indicators among medical college students in 2017 and to compare it with the results of the previous study of 2005. Method: The inclusion criteria were: no health complaints at the time of the examination, no chronic diseases in family medical history, no deviations from the norm in clinical and laboratory tests. The selected young men were examined by medical specialists (neuropathologist, ophthalmologist, otolaryngologist, therapist, surgeon); detailed clinical, laboratory and diagnostic tests were conducted: X-ray; spirography; electrocardiography; dental examination; ultrasound examination (cardiovascular, thyroid, abdominal, urological); biochemical blood testing. The participants were subdivided into two groups: Group 1 (students (n=140) who studied at Zhytomyr Medical College in 2004-2005) and Group 2 (students (n=150) who studied at Zhytomyr Medical Institute in 2016-2017). Results: According to the results of studying the dynamics of anthropometric, functional and psychophysiological indicators of physical development among Ukrainian medical college students (n=290; 17-21 years old) in 2017, comparing them with the results of the previous study, conducted in 2005, the tendency to gain in body mass in average values from (0.88 ± 0.26) to (2.7 ± 0.67), in body mass index from (0.88 ± 0.26) to (1.38 ± 0.38), in the fat component from (8.70 ± 0.22) to (9.36 ± 0.21) was established. Conclusions: An increase in body mass index, the fat component in medical college students was revealed, which is related to problems in the quality of the students' diet. Though the muscle mass has increased, and the study indicates that there is insufficient physical activity; sustainability and concentration of attention indicators tend to decrease under the influence of intensification of the educational process. The dynamics of the indicators under analysis indicates the stabilization of the growth process in Ukrainian male students.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".