Bibliographic record
Abstract
Physical inactivity, overweight, and obesity are serious issues plaguing the American public. The extent to which regular yoga participation may be associated with the adoption and maintenance of health enhancing behaviors necessitates further investigation. Through a mixed method of inquiry, this study investigated the exercise and eating habits of adults who participate in yoga on a regular basis exploring facets of mindful eating, exercise habits, and body mass index. Survey packets were distributed across seven yoga studios and fitness facilities in central New Jersey; 87 adults with a mean age of 47 years self-selected to participate. Quantitative and qualitative data were collected including a Mindful Eating Questionnaire, a 7-Day Physical Activity Recall, height and weight, yoga tenure recorded in months/years of consistent yoga participation, and average daily fruit and vegetable intake. Results showed that mindful eating was inversely correlated with Body Mass Index (BMI) and that 72% of the yoga participants had a BMI of 24.9 or less, placing them in the normal weight category. A significant difference existed in mindful eating score relative to yoga tenure and vegetable and fruit intake relative to yoga tenure. Participants reported a mean of 239 minutes of weekly exercise other than yoga participation. Qualitative data were collected through two open-ended questions to ascertain the participants’ perceptions of yoga and their health-related behaviors; the data revealed that 87% of participants felt yoga enhanced their exercise adherence and 91% reported yoga promoted the adoption of positive health habits. The results suggest that yoga participation is associated with mindful eating and the adoption and maintenance of other positive health-related outcomes such as regular physical activity and weight management
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 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 | 0.000 | 0.000 |
| 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) | 0.021 | 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".