Enhanced Information Retrieval by Using HTML Tags.
Bibliographic record
Abstract
Adults with severe obesity have poorer health, are less active and spend more time sedentary compared to people with a lower body mass index (BMI). There is a pressing need to understand the factors associated with low physical activity (PA) and excessive sedentary time to develop more effective behaviour change interventions for this population. The purpose of this study was to identify biopsychosocial correlates of PA and sedentary time in adults living with severe obesity. Forty-four adults living with severe obesity (age = 50.5 ± 13.3 years; BMI = 44.3 ± 7.8 kg/m<sup>2</sup> ) completed a survey including questions on sociodemographic characteristics, comorbidities, psychosocial factors (eg, social physique anxiety [SPA], social support for PA, PA level self-perception), quality of life, daily pain and self-reported moderate-to-vigorous intensity PA (MVPA). Participants also completed the 6-minute walk test (6MWT) to assess physical fitness and wore an accelerometer to assess objective PA and sedentary time. In stepwise linear multivariate analyses, higher objective MVPA was associated with higher 6MWT distance, being single and lower SPA (R<sup>2</sup> = 0.46, P < .001), whereas higher self-reported MVPA was associated with greater PA level self-perceptions (R<sup>2</sup> = 0.47, P < .001). Greater objective light intensity PA was associated with greater quality of life and self-efficacy for PA (R<sup>2</sup> = 0.26, P = .001). Greater sedentary time was associated with having more comorbidities (R<sup>2</sup> = 0.25, P < .001). This study shows that adults living with severe obesity who have more comorbidities, poorer quality of life and/or lower self-efficacy perception for PA are more likely to be sedentary and to practice less light intensity PA. Additionally, those who were in a relationship, had higher SPA and/or had lower physical fitness practiced less MVPA. Future research is needed to determine causal effects.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.171 | 0.192 |
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".