Pattern of Cognitive Impairment among Community Dwelling Elderly in Egypt and Its Relation to Socioeconomic Status
Bibliographic record
Abstract
Abstract Background Cognitive decline is well-recognized as a normative part of the aging process that strongly affects daily functioning and quality of life. Giving the different levels of cognitive health among people from different socioeconomic groups. Aim: To assess the prevalence and pattern of cognitive impairment among community dwelling elderly in Egypt and the contribution of socioeconomic status to inequality in cognitive impairment. Patients and Methods This study involved 470 elderly participants ≥ 60 years, males and females. The Montreal Cognitive Assessment (MoCA) was used to measure the prevalence of cognitive impairment, Ain Shams Cognitive Assessment (ASCA) to assess pattern of specific cognitive domain affection, and Socioeconomic status (SES) scale were used to describe the SES of participants. Results The prevalence of cognitive impairment was 50.2% in Egypt, 37.7% for MCI and 12.5% for Dementia. The most common type of cognitive impairment was degenerative type (47.8%). Pattern of specific domain affection among cognitively impaired subjects, ranged from 94% for visuospatial function to 12.7% for Abstraction. Cognitive impairment was significantly associated with increasing age, female sex, marital status single or widow, low education and with increasing total number of comorbidities, depression and positive family history of cognitive impairment. Cognitive impairment was mainly concentrated in the economically disadvantaged population (low educational level, non-occupied, limited computer use, low income and bad sanitation). Conclusion In Egypt, cognitive impairment is significantly prevalent and concentrated among those who are in low socioeconomic status. Increasing educational level of low SES population and improving their access to healthcare services will help to improve the inequity of cognitive impairment.
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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 | 0.000 | 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".