A Longitudinal Examination of Social Participation, Loneliness, and Use of Physician and Hospital Services
Bibliographic record
Abstract
OBJECTIVE: This study examined whether social participation and loneliness predicted health care service use (physician visits, hospitalizations, length of stay in hospital). METHOD: Participants' (N = 954; 54% female; aged 45+ years) health data were tracked over 2.5 years following in-person interviews. RESULTS: Being lonely was associated with greater number of physician visits, though this relationship was mediated by health. Neither loneliness nor social participation was associated with admission to hospital. However, for those who were hospitalized at least once over 2.5 years, being lonely was associated with a higher odds of being re-hospitalized; furthermore, greater social participation was associated with a lower odds of being in the hospital for an extended duration. These relationships held even when controlling for initial health. DISCUSSION: Results provide evidence, using objective health care data, of the potential importance of social factors in predicting adults' physician visits, re-hospitalization, and length of stay in hospital.
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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 | 0.002 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".