The Current Conditions and Lifestyles of Obese University Students
Bibliographic record
Abstract
BACKGROUND: The prevalence of cardiovascular diseases in Japan remains high, and the onset becomes early. Studies on the current conditions and lifestyles of obese university students may support early interventions to achieve lifestyle modification. METHODS AND RESULTS: The results of periodic health examinations in 32,262 first-year university students revealed that 2,036 (6.3%) were obese. We performed a more detailed examination in 221 of these obese students (165 males and 56 females, age 19 ± 1 years) with study agreement from 2014 to 2016. In this study cohort, the percentage of students who exercised regularly was significantly higher among males than females. Body fat in males with well-exercised was lower than that in males with no exercise. In addition, serum level of high-density cholesterol in males with well-exercised was higher. Among females, there were no significant differences in these parameters between exercisers and non-exercisers. Forty-two obese students (40 males and two females) met the diagnostic criteria of metabolic syndrome (MetS). Among males, levels of body fat, uric acid, liver enzyme and insulin resistance in the MetS group were significantly higher than those in the non-MetS group. The average ratio of eicosapentaenoic acid to arachidonic acid (EPA/AA) was low (0.14). CONCLUSIONS: Although the proportions of students with obesity and/or MetS were not high, the EPA/AA ratio in obese young males was low, which may be associated with a high risk of coronary atherosclerosis. To prevent the onset of cardiovascular diseases early intervention to achieve lifestyle modification may be important.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".