A Longitudinal Examination of Social Participation, Loneliness, and Use of Physician and Hospital Services
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it