Factors Associated with history of Fall among Elderly people in Southern West Bank
Bibliographic record
Abstract
Abstract Background Elderly men and women have higher risk of fall due to various factors including malnutrition, decreased muscle mass, decreased functional capacity, cognitive impairment and depression. Among Palestinian older adults fall history yet to be studied in term of prevalence and correlates. Objective The primary objective of this study is to determine the prevalence of fall and the differences in fallers and non-fallers among a group of Palestinian elderly living in rural areas in Southern West Bank region of Hebron. Methods The study included 142 participants from two villages: Se'ar and Bani Na'em , Hebron governance. Demographic variables and fall history was collected by a pre-tested structured questionnaire. Anthropometric measurement were used to assess nutritional status; physical function was assessed by activity of daily living and instrumental activity of daily living, level of fitness was assessed using senior fitness test. Geriatric scale for depression was used to assess depression and Montreal cognitive assessment test was used to evaluate mild cognitive impairment. Results : 51.7% of study participants were females, the mean age 69.5± 5.7 years old. Positive fall history was present among 11.7% mostly females. Significant relationship with fall was found with larger waist and hip circumference, cognitive impairment, higher level of dependency and slower performance in time up and go (TUG) p<0.05. Conclusion Fall history has considerable prevalence among the study sample and it is correlated with nutritional status, cognitive and physical function. The findings of the study recommend educational and intervention programs to enhance the nutritional status, physical fitness and cognitive function among Palestinian elderly. Further research are needed to determine the risk factors of fall utilizing longitudinal study design and intervention studies to optimize intervention model to enhance the health status and decrease the risk of fall.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".