T128. AN ANALYSIS OF ANXIETY, DEPRESSION, PHYSICAL ACTIVITY AND SOCIAL SUPPORT IN ADULTS WITH SCHIZOPHRENIA
Bibliographic record
Abstract
Schizophrenia is a complex mental illness and it is one of the leading causes of disability worldwide. Premature death rates in schizophrenia are largely attributable to increased risk for cardiovascular disease (Vancampfort et al., 2017). However, other factors such as elevated anxiety, depression, and impaired social functioning (Pinkman et al., 2008) also contribute to overall lower quality of life. It is a global health concern. In thinking about novel interventions for this population, other lines of research have shown that physical activity improves fitness, as well as mood and anxiety symptoms in populations with anxiety disorders (Peluso & Andrade, 2005). However, to date there have been limited studies examining the association of anxiety, depression, social functioning and physical activity within the same sample of adults with schizophrenia. The purpose of this study is to survey levels of depression, anxiety, stress, social support and physical activity in adults diagnosed with schizophrenia and schizophrenia spectrum disorders, and determine whether any of these factors are correlated. It is hypothesized that elevated anxiety and depression will be associated with lower levels of physical activity and poorer social support. Adults diagnosed with schizophrenia or schizophrenia spectrum disorders were recruited from outpatient clinics at St. Joseph’s Healthcare Hamilton. Participants completed the Depression Anxiety Stress Scale 21, the World Health Organization’s Disability Assessment Schedule, and the Multidimensional Scale of Perceived Social Support. Scores on each measure will be averaged across relevant subscales. The relationship between scores on measures of described above will be analyzed with a Pearson’s r correlation and linear regression analysis. The study is still in progress, results will be presented once data analysis is complete. High levels of depression and anxiety may be associated with low levels of social support and low levels of physical activity. If that is the case, this supports the implementation for physical activity interventions in groups to be used in order to improve mood, and to increase the likelihood of developing social support.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".