Psychological and psychiatric aspects of the fear of falling in the elderly
Bibliographic record
Abstract
Background. To date, studies of fear of falling have focused on sociodemographic, physical and functional correlates. Objective. To determine whether depression, anxiety, and dysfunctional attitudes relate independently to fear of falling. Methods. A cross-sectional study of 105 inpatients 60 years or older who experienced at least one fall in the previous year was performed. Psychological variables were assessed using the Structured Clinical Interview for DSM-IV, the Hospital Anxiety and Depression Scale, and the Dysfunctional Attitude Scale. Additional variables previously found to be associated with fear of falling were also measured. Results. Depressive disorders, depression severity, anxiety disorders, anxiety severity, and dysfunctional attitudes each related independently to fear of falling as measured both continuously and categorically. Depressive disorders and depression severity had the strongest association with fear of falling. Conclusion. Fear of falling has important psychological correlates. Increased understanding of these correlates could lead to more effective prevention and treatment.
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".