A Multinomial Regression Model of Risk for Falls (RFF) Factors Among Filipino Elderly in a Community Setting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The etiology of falls is multifactorial. Internationally, nurses are challenged to address this problem through assessment and intervention. Anchored on Pender's Health Promotion Model (1996 Pender , N. J. ( 1996 ). Health promotion in nursing practice () , 3rd ed. . Stamford , CT : Appleton & Lange Stanford . [Google Scholar]) and the McGill Model of Nursing developed by Dr. Allen (Gottlieb & Rowat, 1987 Gottlieb , L. , & Rowat , K. ( 1987 ). The McGill Model of Nursing: A practice-derived model . Advances in Nursing Science , 9 ( 4 ), 51 – 61 .[PubMed], [Web of Science ®] , [Google Scholar]), a hypothesized model was grounded to explain the relationship of environmental safety, depression, autonomy, and support system to the risk for falls of the Filipino elderly in a community setting. This study was conducted to test a model that describes the relationship of environmental safety, depression, autonomy, and support system to the risk for falls of Filipino elderly found in the community setting. A six-part, multiaspect questionnaire was administered to 125 elderly respondents from a community in Bulacan, Philippines. Using descriptive analysis, the demographic profile of the respondents was characterized. Multinomial regression analysis was used to test the model. A model with adequate fit emerged (F-ratio = 6.071), which revealed that only environmental safety (standardized β = .28 and p value =.001) and depression (standardized β = .24 and p value =.006) significantly impacts the risk for falls; autonomy and support system did not display any statistical significance and were not considered direct determinants of the risk for falls. With the results of the study, the researchers look forward to the risk for falls being decreased and managed through early identification of the risk factors. Also, the model would contribute in the efforts of nurses as it serves as a guide on how environmental safety and depression among elderly Filipinos relate to the risk for falls.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it