Subjective social isolation or loneliness in older adults residing in social housing in Ontario: a cross-sectional study
Bibliographic record
Abstract
<h3>Background:</h3> Older adults face greater risk of social isolation, but the extent of social isolation among low-income older adults living in social housing is unknown. This study aims to explore the rate of, and risk factors contributing to, subjective social isolation or loneliness among older adults in social housing. <h3>Methods:</h3> We conducted a cross-sectional study of data collected from a community program held in the common rooms of 55 social housing buildings in 14 communities across Ontario, Canada, from May 2018 to April 2019. Participants were program attendees aged 55 years and older who resided in the buildings. Program implementers assessed social isolation using the 3-Item Loneliness Scale from the University of California, Los Angeles and risk factors using common primary care screening tools. We extracted data for this study from the program database. We compared the rate of social isolation to Canadian Community Health Survey data using a 1-sample χ<sup>2</sup> test, and evaluated associations between risk factors and social isolation using univariate and multivariate logistic regressions. <h3>Results:</h3> We included 806 residents in 30 buildings for older adults and 25 mixed-tenant buildings. Based on the 3-Item UCLA Loneliness Scale, 161 (20.0%) of the 806 participants were socially isolated. For those aged 65 and older, the rate of social isolation was nearly twice that observed in the same age group of the general population (36.1% v. 19.6%; <i>p</i> < 0.001). Risk factors were age (65–84 yr v. 55–64 yr adjusted odds ratio [OR] 1.99, 95% confidence interval [CI] 1.01–3.93), alcohol consumption (adjusted OR 2.45, 95% CI 1.09–5.54), anxiety or depression (adjusted OR 6.05, 95% CI 3.65–10.03) and income insecurity (adjusted OR 2.10, 95% CI 1.24–3.53). Protective factors were having at least 1 chronic cardiometabolic disease (adjusted OR 0.44, 95% CI 0.24–0.80), being physically active (adjusted OR 0.47, 95% CI 0.30–0.73) and having good to excellent general health (adjusted OR 0.60, 95% CI 0.39–0.90). <h3>Interpretation:</h3> The high rate of social isolation in low-income older adults living in social housing compared with the general population is concerning. Structural barriers could prevent engagement in social activities or maintenance of social support, especially for older adults with income insecurity and anxiety or depression; interventions are needed to reduce subjective social isolation in this population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".