THE EFFECTIVENESS OF A PEER-BASED INTERVENTION ON SOCIALLY ISOLATED OLDER CHINESE IMMIGRANTS IN CANADA
Bibliographic record
Abstract
Abstract Objectives: This study aimed to examine the effectiveness of a peer-based intervention in reducing older Chinese immigrants’ loneliness and social isolation to improve their psychosocial well-being. Method: A randomized controlled trial design was adopted. A sample of 60 community-dwelling older Chinese immigrants aged 65 and above were randomly assigned to the intervention group (n=30) and the control group (n=30). Intervention group participants received an eight-week peer support intervention. 25 volunteers aged 48 to 76 were recruited and trained to provide one-to-one peer support services through home visits and telephone. The services included multiple activities such as providing emotional support, assisting in problem-solving, and community resources sharing. Different types of activities were consecutively executed throughout the eight weeks in accordance with the service protocol. Standardized assessments including loneliness, social support, social participation, and other psychosocial outcomes such as life satisfaction, happiness, depression, and resilience at baseline and after intervention were measured. Results: After the intervention, as compared to control group participants, intervention group participants reported a significant decrease in loneliness, fewer barriers in social participation, and a significant increase in resilience. They also reported fewer depressive symptoms, increased life satisfaction, and happiness, but no such improvements were observed in the control group. Discussion: The study findings illustrate the need to further examine the use of peer-based interventions for both program effectiveness and delivery efficiency. In the era of population aging, baby boomers can be trained to take up more volunteer roles to serve older adults in distress via peer-based intervention approaches.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".