Pathways from spousal bereavement to cognitive functioning in Pakistani older adults: Mediational role of social rhythms and moderating role of social support
Bibliographic record
Abstract
OBJECTIVE: This study investigated the association between spousal bereavement and cognitive functioning among Pakistani community dwelling older adults. METHODS: = 67.7, SD = 7.37) was obtained from the twin cities of Rawalpindi and Islamabad, Pakistan, via purposive sampling. Data were collected through the Montreal Cognitive Assessment Scale (MoCA), the Core Bereavement Item (CBI), the Inventory of Complicated Grief (ICG), the Multidimensional Scale of Perceived Social Support(MSPSS) and the Brief Social Rhythm Scale (BSRS). All scales were administered in Urdu language. RESULTS: Correlation analysis revealed a significant negative relationship between normative grief, complicated grief and cognitive functioning. Results generated, using PROCESS Macro Model 4 after controlling for age and duration of bereavement, revealed that normative grief and cognitive functioning were partially mediated by social rhythms. No mediation was formed after controlling for education. Complicated grief and cognitive functioning were not mediated by social rhythms. Perceived social support did not moderate the relationship between normative grief and complicated grief. However, only the perceived support from family moderated the relationship between complicated grief and cognitive functioning. CONCLUSIONS: Social rhythm regularity did not mediate cognitive decline among grieving older adults. However, results highlight the importance of support from family in preventing cognitive decline. Findings suggested that understanding the underlying pathways associated with cognitive decline among older adults are vital for the development of specific intervention and prevention strategies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".