How Is One's Own and (Ex‐)Partner's Professional Prestige Associated With Loneliness and Isolation? Findings Based on Cross‐Sectional Data From Middle‐Aged and Older Adults Living in Germany in 2022/2023
Bibliographic record
Abstract
Background and Aims: Thus far, very little is known about the association between occupational prestige and loneliness. Thus, our aim was to investigate how (1) one's own professional prestige, (2) the professional prestige of one's partner and (3) the professional standing of one's last spouse (for those without a spouse) are associated with loneliness and isolation. Methods: = 3059 individuals; average age was 67.0 years, 52.2% female). Psychometrically sound instruments were used to measure the key variables. Sociodemographic, lifestyle- and health-related covariates were added to the linear regression model. Results: Higher own professional prestige was associated with lower loneliness and social isolation scores. In contrast, the professional prestige of one's partner and the professional standing of the last spouse (for those without a spouse) were both not significantly associated with loneliness and social isolation. Conclusion: Data suggest that one's own favorable professional prestige was associated with lower loneliness and social isolation levels, whereas the professional prestige of the (ex-)partner was unrelated to such social factors. Future longitudinal studies should analyze whether changing to a job with more professional prestige might be associated with changes in loneliness and social isolation.
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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 | 0.005 | 0.002 |
| 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 | 0.001 |
| 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".