Comparison of Self-Perceived Daily Physical Activity vs Objective Measures Among Female Varsity Student Athletes
Bibliographic record
Abstract
Varsity student athletes maintain high levels of activity on a daily basis throughout their sport career. What is unknown is whether they accurately perceive their daily level of physical activity outside of their scheduled sport related training and competition time. PURPOSE: To explore differences between self-perceived and objective measures of daily activity among varsity student athletes outside of sport METHODS: Twelve female varsity student athletes, aged 19-26, BMI of 23.66 ± 4.06kg/m2, wore an ActiGraph GT3X™ tri-axial accelerometer for seven consecutive days. This device measured steps/day and time spent in different intensities of physical activity. Participants were instructed to remove this device during practice and competition time. Each night participants recorded their self-perceived number of steps per day outside of sport using an Activity Journal. On the last night of their wear period, participants filled out an International Physical Activity Questionnaire Short Form (IPAQ-SF), which quantified their self-perceived amount of moderate and vigorous activity outside of sport over the past seven days. The IPAQ-SF derived moderate and vigorous activity time and estimated steps/day were compared to their respective ActiGraph measures using a repeated measures analysis of variance (ANOVA) RESULTS: There was no difference (Pillai’s Trace = .243, F(1, 10), p .05) between objectively measured (101.36 ± 39.71min/day) and self-perceived (32.73 ± 27.49min/day) time spent in moderate intensity activities, objective (6.35 ± 8.74min/day) and self-perceived (27.65 ± 33.65 min/day) time spent in vigorous intensity activities (F(1,22) = 4.86, p ≤ .05) or objectively measured (10218 ± 3534) and self-perceived (8374 ± 2681) steps/day. CONCLUSION: Varsity athletes are very aware of their activity levels outside of their scheduled sport practice and competition times. Subjective measures can be used to monitor the physical activity of varsity student athletes outside of their sport.
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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 | 0.000 | 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) | 0.003 | 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".