Incident and recurrent falls among non-Hispanic Black and Hispanic men with chronic conditions
Bibliographic record
Abstract
INTRODUCTION: While much is known about the complexities of fall-related risks among older adults, less is known about the risk for falls among men, and especially older non-Hispanic Black and Hispanic men with chronic conditions. To address this crucial gap in safety research, this study examined factors associated with incident falls (1 fall) and recurrent falling (2+ falls) among non-Hispanic Black and Hispanic men ages ≥60 years with ≥1 chronic condition. METHOD: Collected with a cross-sectional, web-delivered questionnaire, data were analyzed from a national sample of 779 non-Hispanic Black (58.8%) and Hispanic (41.2%) men. To assess incident and recurrent falls, the number of self-reported falls in the past year was trichotomized (0 falls vs. 1 fall vs. 2+ falls) and used as the dependent variable. A multinomial logistic regression was fitted to assess factors associated with incident and recurrent falls. The model adjusted for sociodemographics, disease characteristics, health status, and social support. RESULTS: On average, participants were aged 66.8 (±5.4) years and reported 3.8 (±2.7) chronic conditions. Seventy-three percent of men reported 0 falls, 12.6% reported 1 fall, and 14.4% reported 2+ falls in the past year. Relative to men reporting 0 falls, Hispanic men (P < 0.05), men with worse general health status (P < 0.05), and those with clinical depression (P < 0.05) were more likely to report incident and recurrent falls, respectively. Men with more comorbidities (P < 0.05) and those with less help/support to manage health problems (P < 0.05) were more likely to report recurrent falls. CONCLUSIONS: Findings highlight the importance of multi-component interventions to prevent falls by strengthening disease self-management, addressing mental health, and introducing social support. PRACTICAL APPLICATIONS: This study contributes to the understanding of fall-related risks among older non-Hispanic Black and Hispanic men with chronic conditions and highlights the need for interdisciplinary collaboration in fall prevention efforts.
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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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".