Social inhibition as a mediator of neuroticism and depression in the elderly
Bibliographic record
Abstract
BACKGROUND: A number of factors, such as demographics, cognitive function, personality and interpersonal relationship) play a role in late-life depression. This study investigates the influence of social inhibition on the inverse emotional stability (neuroticism) and depressive symptoms found in elderly Thai people. METHODS: In total, 123 elderly Thais aged 60 years of age or older were tested using the 64-item Inventory of Interpersonal Problems, Symptom Checklist-90, and the 16 Personality Factors Questionnaire. Hierarchical regression and path analyses were performed in order to identify the relationships among these variables. RESULTS: The age of the participants ranged from 60 to 93 years old (mean = 71.7; SD = 6.2), and out of the group, 51.2% were male, 56.1% were married and 61.8% were on a low income. The average number of years spent in education among the participants was 7.6 (SD = 5.1). The variables found to be significantly associated with depression were age, intellect, social inhibition and possession of inverse emotional stability (neuroticism). Low levels of emotional stability were most strongly associated with depressive symptoms (standardized regression coefficients -0.29), but this effect was found to be reduced (mediated, to -0.26) by social inhibition. In total, 30% of the total variance could be explained by this model, and there was an excellent statistical fit. CONCLUSIONS: The variables found to be significantly associated with depression were a younger age, as well as lower levels of intellectual skill, social inhibition and inversed emotional stability (neuroticism). It was found that a lack of emotional stability is, along with a younger age, the strongest predictor of depressive symptoms, but can be mediated by social inhibition.
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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 | 0.001 | 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 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".