Loneliness and social isolation of ethnic minority/immigrant older adults: a scoping review
Bibliographic record
Abstract
Abstract Loneliness and social isolation among older adults are emerging public health concerns. Older adults from ethnic minority communities or with immigration backgrounds may be particularly vulnerable when encountering loneliness and social isolation due to the double jeopardy of their old age and minority status. The goal of this study is to conduct a scoping review of published journal articles on ethnic minority/immigrant older adults’ loneliness and social isolation experiences to show the extent, range and nature of empirical studies in this area across several high-income countries ( i.e. European countries, United States of America (USA), Canada, Australia and New Zealand). This review uses Arksey and O’Malley’s five-state framework, a well-established scoping review method. We identify and analyse 76 articles published between 1983 and 2021. This evidence base is largely US-focused (54%) with the vast majority (76%) having a quantitative design. We summarise and map factors of loneliness and social isolation into a multi-dimensional socio-ecological model. By doing so, we show how ethnicity/immigration-specific factors and general factors intersect in multiple dimensions across places and time, shaping ethnic minority/immigrant older adults’ heterogeneous experiences of loneliness and social isolation. Several critical gaps that should be at the forefront of future research are highlighted and discussed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".