The Health and Well-being of Children and Adolescents Accessing In-Patient Psychiatry: A Brief Report.
Bibliographic record
Abstract
OBJECTIVE: People with mental illness have high rates of physical illness that are not detected and that shorten their lifespan. Health behaviours are central to physical health, and many children and adolescents with psychiatric illness may be at risk for poor physical health. The purpose for this study was to explore the self-reported health behaviours and well-being of pediatric psychiatric patients and their association with mental health problems. METHODS: Pediatric patients hospitalized for psychiatric care were invited to complete a survey containing items on amount of physical activity, nutrient intake and sleep, a standardized perceived stress scale, and the Strengths and Difficult Questionnaire. RESULTS: Informed consent was provided by 161 patients who completed the survey. Youth reported: engaging in very little physical activity, eating fruits and vegetables about 2-3 times per week, not sleeping well and very high perceived stress. DISCUSSION: Implications for practice include increasing opportunities for and monitoring of health behaviours in youth hospitalized for psychiatric illness. Further research is needed to explore interventions designed to improve the physical health and mental well-being of youth with psychiatric illness and possibly the inpatient environment.
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 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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".