Involuntary delayed retirement and mental health of older adults
Bibliographic record
Abstract
OBJECTIVE: This study examined the association of multiple mental health measures with involuntary delayed retirement (IDR) in working older adults (≥ 65 years) in the USA. METHODS: Data were derived from the Health and Retirement Study, focusing on two combined waves of working older adults in 2010 and 2012. IDR was measured as the desire to stop working but the inability to do so due to financial constraints. In addition, mental health outcomes included depression, anxiety, anger-in, and anger-out. Using Stata 16.0, primary analyses were conducted for descriptive statistics and multivariable logistic regression. The odds ratios were reported with 95% confidence intervals (CIs). RESULTS: Older adults who reported IDR were more likely to have depression (OR = 3.20, CI = 1.03-9.88), anxiety (OR = 2.12, CI = 1.00-5.18), and anger-in (OR = 1.71, CI = 1.12-2.60) compared to those who did not report IDR. However, IDR was not significantly associated with anger-out in older adults who worked past the traditional retirement age. CONCLUSION: The findings suggest that IDR is likely to act as a stressor and affects the mental health of older adults aged 65 and more. Policymakers should pay more attention to helping older adults maintain positive mental health even if they are required to work past retirement age.
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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 | 0.002 | 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 | 0.001 | 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".