Mental health and physical activity in SCI: Is anxiety sensitivity important?
Bibliographic record
Abstract
Compared to research conducted with nondisabled samples, little is known about the relation between mental health and physical activity (PA) in individuals with a spinal cord injury (SCI). Despite this population being more at risk of experiencing anxiety and depression and less likely to engage in PA, few studies have investigated other factors that may impact this association in this population such as anxiety sensitivity (AS). AS is a fear of physiological arousal sensations, and importantly has been shown to be negatively associated with PA in people without disabilities. It is unknown if the changes to how one experiences physiological sensations after a SCI impacts the relation between AS and PA. OBJECTIVE: This study investigated which forms of PA are predicted by anxiety and depression and whether AS is predictive of PA in this population. RESEARCH METHOD: 98 participants with a SCI (both paraplegia and tetraplegia) completed an online questionnaire that had measures of PA, AS, and anxiety and depression. RESULTS: It was found that symptoms of anxiety were significantly associated with mild-intensity PA. Interestingly AS was positively associated with moderate-intensity PA. CONCLUSIONS: The results of this study show that the relation between mental health and PA in this sample may not mirror what has been found in people without disabilities. More research is needed to replicate these findings as well as to investigate other potential mechanisms that may be relevant for people with a SCI. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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 | 0.001 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".