Chronic Physical Health Conditions Among Homeless
Bibliographic record
Abstract
ABSTRACT Objective: Morbidity and mortality among homeless individuals is higher than the general population. This study aims to determine the prevalence of current self-reported, chronic physical health conditions in a large sample of homeless people with sub-samples from shelters and street in British Columbia, Canada. Methods: Cross-sectional survey applying modified version of the ‘National Survey of Homeless Assistance Providers and Clients (NSHAPC)’ questionnaire in multiple sites in Vancouver, Victoria and Prince George, British Columbia, Canada. Sample: Five hundred homeless individuals were surveyed between May and September of 2009. A person was defined as homeless if he/she had a self-identified living status of being without permanent housing prior to study entry for a minimum duration of one month. The main outcome measures were prevalence rates of self-reported chronic physical health conditions. A chronic physical health condition was defined as a condition, expected to last or had already lasted 6 months or more, which had been diagnosed by a health professional. Results: The most commonly self-reported, chronic, physical health condition in this group of homeless participants was history of head injury with subsequent loss of consciousness, dizziness, confusion, or disorientation (63.6%) followed by back problems (38.8%), chronic hepatitis (34.6%), migraine headaches (29.2%), and arthritis (28.4%). Chronic obstructive lung disease was reported by 15.8% of the participants, and high blood pressure by 15.6%. 7.6% indicated they were HIV-positive and/or had AIDS. Conclusion: Homeless people have a high prevalence of chronic physical health condition, in the following areas: neurological, musculoskeletal, infectious and respiratory diseases. Precarious living conditions and housing, poor nutrition, psychosocial stress, smoking, and substance use are among common detrimental risk factors for many of these conditions. Keywords: chronic disease, homeless, HIV, Hepatitis C, back pain, physical health
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".