THE PREVALENCE AND PREDICTORS OF APATHY AMONG CANADIAN LONG-TERM CARE RESIDENTS: A SECONDARY DATA ANALYSIS
Bibliographic record
Abstract
Abstract Apathy, defined as a reduction in interest or motivation to engage in goal directed activities, is a frequent and persistent health concern among persons residing in long term care facilities. Research showed that apathy is associated with rapid cognitive decline, impaired functional ability, and increased mortality risk. To prevent or mitigate the negative impacts of apathy on persons living in long term care facilities, there is need for better understanding of the risk factors associated with it. Therefore, the aim of this study was to determine the prevalence of apathy and its risk factors in a large sample of Canadian long-term care residents (N=332,454). We performed cross-sectional analysis of data from MDS 2.0 assessments completed between 2015 and 2019 fiscal year. Results from descriptive and inferential analyses showed that apathy was more prevalent among persons aged 65 or younger and speak English. The strongest predictors of apathy were province of residence (OR 4.09 (CI 2.99-5.59) followed by resistance to care (OR 2.43 CI 2.38-2.49), conflict with family (OR 2.30 CI 2.2-2.4), and insomnia (OR 2.16 CI 2.11-2.2). These findings highlight the important role of environmental contextual factors including the physical and social environment as well as personal factors in the development of or recovery from apathy. Strategies for combating apathy in long term care facilities should take into account the individual, institutional and provincial variances.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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".