Functional Limitations and Changes in Levels of Depression Among Older Adults: A Multiple-Hierarchy Stratification Perspective
Bibliographic record
Abstract
OBJECTIVES: This study examined the effects of functional limitations on changes in levels of depression over time. A multiple-hierarchy stratification perspective framed the analyses of potential stratification-based contingencies of race, gender, and socioeconomic status. METHODS: We derived data from a longitudinal study of adults aged 65 and older in the Washington, DC, metropolitan area over a 3-year period (2001-2003). We used ordinary least squares regression models in order to assess the focal associations across a set of social status interaction terms. RESULTS: Changes in functional limitations were associated with changes in depression, but the patterns depended on interactions among race, gender, and socioeconomic status. DISCUSSION: These observations contribute to research by blending ideas from double and triple jeopardy and differential vulnerability perspectives. Although analyses of multiple contingencies create analytical challenges, this complexity is needed to accurately specify the mental health effects of functional limitations.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".