ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022
Development of the ADFICE_IT Models for Predicting Falls and Recurrent Falls in Community-Dwelling Older Adults: Pooled Analyses of European Cohorts With Special Attention to Medication.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Potentially inappropriate prescribing and falls-risk increasing drugs in people who have experienced a fall: a systematic review and meta-analysis.Age and ageing · 2025Pooled it
- A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on routinely collected data.Age and ageing · 2024Pooled it
- Trial
- Development of a clinical prediction model for falls in individuals with COPD.BMJ open respiratory research · 2025Trial
- Trial
- Factors associated with falls in older adults: A secondary analysis of a 12-month randomized controlled trial.Archives of gerontology and geriatrics · 2023Trial
- Statistical methods for retrospective harmonization of longitudinal epidemiological data: a scoping review.European journal of epidemiology · 2026Article
- Reliability of functional physical performance tests adapted in a remote format for older people with a history of falls.European geriatric medicine · 2026Article
- The synergistic effect of anticholinergic burden and depression on fall risk in older persons.British journal of clinical pharmacology · 2025Article
- AI-based decision support to optimize complex care for preventing medication-related falls.Nature medicine · 2024Article
- Predicting mortality risk after a fall in older adults using health care spending patterns: a population-based cohort study.Age and ageing · 2023Article
- Predicting future falls in older people using natural language processing of general practitioners' clinical notes.Age and ageing · 2023Article
- Article
- Validation of a clinical prediction model for falls in community-dwelling older adults with COPD: A preliminary analysis.Chronic respiratory diseaseArticle
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 3 countries.
Funding
Abstract
backgroundUse of fall prevention strategies requires detection of high-risk patients. Our goal was to develop prediction models for falls and recurrent falls in community-dwelling older adults and to improve upon previous models by using a large, pooled sample and by considering a wide range of candidate predictors, including medications.
methodsHarmonized data from 2 Dutch (LASA, B-PROOF) and 1 German cohort (ActiFE Ulm) of adults aged ≥65 years were used to fit 2 logistic regression models: one for predicting any fall and another for predicting recurrent falls over 1 year. Model generalizability was assessed using internal-external cross-validation.
resultsData of 5 722 participants were included in the analyses, of whom 1 868 (34.7%) endured at least 1 fall and 702 (13.8%) endured a recurrent fall. Positive predictors for any fall were: educational status, depression, verbal fluency, functional limitations, falls history, and use of antiepileptics and drugs for urinary frequency and incontinence; negative predictors were: body mass index (BMI), grip strength, systolic blood pressure, and smoking. Positive predictors for recurrent falls were: educational status, visual impairment, functional limitations, urinary incontinence, falls history, and use of anti-Parkinson drugs, antihistamines, and drugs for urinary frequency and incontinence; BMI was a negative predictor. The average C-statistic value was 0.65 for the model for any fall and 0.70 for the model for recurrent falls.
conclusionCompared with previous models, the model for recurrent falls performed favorably while the model for any fall performed similarly. Validation and optimization of the models in other populations are warranted.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.