The Big-Five Personality Traits and Quality of Life in Elderly Malaysian Patients with Diabetes Mellitus: A Cross-Sectional Study
Bibliographic record
Abstract
While diabetes mellitus is highly prevalent in the elderly population with significant impact on quality of life (QOL), we yet to know much about how personality traits affect QOL in this patient population. A cross-sectional study was conducted at Universiti Kebangsaan Malaysia Medical Centre with the aim to determine the relationship between personality traits and QOL among the elderly (aged ≥60 years) with diabetes mellitus. Sociodemographic and clinical information were obtained. QOL was assessed using the WHO Quality of Life-BREF (WHOQOLBREF) questionnaire and personality traits were assessed using the Big Five Inventory (BFI) questionnaire. Depression and anxiety were measured with Beck Depression Inventory-II (BDI-II) and Generalized Anxiety Disorder 7-item (GAD-7) scale, respectively, and controlled for in all analyses. There were in total 170 study participants (median age=69.0 years; IQR: 65.0-73.0; 51.2% male). In stepwise linear regression models, higher conscientiousness scores (β=0.156; P=0.044) and lower neuroticism scores (β=-0.176; P=0.028) were associated with greater QOL in the physical health domain. Higher extraversion scores (β=0.209; P=0.001) and higher conscientiousness scores (β=0.248; P<0.001) were associated with greater QOL in the psychological health domain. Higher agreeableness scores (β=0.286; P<0.001) were associated with greater QOL in the social relationship domain. Finally, higher agreeableness scores (β=0.327; P<0.001) and lower neuroticism scores (β=-0.223; P=0.001) were associated with greater QOL in the environment domain. Personality traits were closely associated with all domains of QOL among elderly patients with diabetes mellitus. Premorbid personality may have important role in moderating the impact of diabetes mellitus on the lives of elderly patients.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".