Social support in late life mania: GERI‐BD
Bibliographic record
Abstract
OBJECTIVE: Using the database of the National Institute of Mental Health-sponsored acute treatment of late life mania study (GERI-BD), we assessed the role of social support in the presentation of late life bipolar mania. METHODS: In the first 100 subjects randomized in geriatric BD, we explored the demographic, clinical, and social support characteristics (assessed using the Duke Social Support Index) and aspects of manic presentation. We selected two dependent variables: symptom severity, as determined by the Young Mania Rating Scale (YMRS) at baseline, and duration of episode. We selected nine potential independent variables on the basis of Pearson correlation coefficients. We derived two final models using multiple regression analysis employing an iterative process. RESULTS: In our severity model, being married was associated with a higher YMRS score (p = 0.05), whereas higher social interaction scores with non-family members were associated with a lower YMRS score (p = 0.011). In the episode duration model, longer duration was associated with a higher Hamilton Depression Rating Scale score (p = 0.03) and higher social interaction scores with non-family members (p = 0.0003), younger age (p = 0.04), higher number of persons in one's family social network (p = 0.017), and higher instrumental support scores (p = 0.0062). CONCLUSIONS: In late life mania, more social interaction with one's community appears to be associated with less severe symptoms at presentation for treatment, however, it can also be associated with slightly longer the duration of episode. Two aspects of the Duke Social Support Index are associated with a shorter episode duration prior to seeking treatment: being part of a larger family network and a having a higher level of instrumental support prior to treatment. The Instrumental Support Subscale measures the degree of assistance that is available for the respondent in performing daily tasks. These findings suggest that in older adults with BD, close social interactions and support are important in limiting the length of the illness episode prior to treatment. Social interactions involving non-family members may be less important in moderating the intensity of the symptoms at presentation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".