Relation Between Daily Self-Weighing and Physique, Lifestyle Factors, and Glycemic Parameters in Japanese College Students
Bibliographic record
Abstract
Background: The impact of self-weighing on young adults attending college has not been fully clarified. The present study aimed to examine self-weighing behavior and associated gender differences in Japanese college students and investigate the relation between habitual daily self-weighing and physique, lifestyle factors and glycemic parameters. Methods: We retrospectively evaluated data from a 75-g oral glucose tolerance test (OGTT) that was performed during clinical training of medical students between 2010 and 2014. Information concerning physique (e.g. body weight and waist circumference) and a lifestyle-focused questionnaire were completed before the OGTT. Participants comprised 441 fifth-grade university students (279 males and 162 females) from the Oita University Faculty of Medicine. Results: A total of 26.8% of participants were habitual self-weighers. Females were significantly more likely to engage in habitual self-weighing than males. There were no significant differences in glucose metabolism between individuals who regularly weighed themselves and those who did not in either gender. Factors related to the performance of daily self-weighing were not skipping breakfast in males and regular exercise in females. Conclusions: Although there was no meaningful relation between habitual self-weighing and glucose metabolism in this study, eating breakfast regularly and exercising regularly independently promoted self-weighing behavior in males and females, respectively. These findings suggest that these common practices may be helpful for college students as a method to encourage habitual daily self-weighing, consequently providing a healthy environment in college life to prevent potential obesity-related diseases. J Endocrinol Metab. 2020;10(1):8-15 doi: https://doi.org/10.14740/jem633
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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 | 0.001 | 0.001 |
| 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 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".