ArticleNPJ digital medicine2018
Accelerometer-based predictive models of fall risk in older women: a pilot study.
Article in NPJ digital medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Accuracy of wearable devices in predicting falls in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Wearable Technologies for Health Promotion and Disease Prevention in Older Adults: Systematic Scoping Review and Evidence Map.Journal of medical Internet research · 2025Article
- AI's ongoing impact: Implications of AI's effects on health equity for women's healthcare providers.Revista panamericana de salud publica = Pan American journal of public health · 2025Article
- Leveraging feature selection for enhanced fall risk prediction in elderly using gait analysis.Medical & biological engineering & computing · 2024Article
- Predicting physical functioning status in older adults: insights from wrist accelerometer sensors and derived digital biomarkers of physical activity.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Validity and Reliability of the Short Physical Performance Battery Tool in Institutionalized Spanish Older Adults.Nursing reports (Pavia, Italy) · 2023Article
- Systematic review of candidate prognostic factors for falling in older adults identified from motion analysis of challenging walking tasks.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023Review
- A machine learning approach to identify important variables for distinguishing between fallers and non-fallers in older women.PloS one · 2023Article
- Article
- Population analysis of mortality risk: Predictive models from passive monitors using motion sensors for 100,000 UK Biobank participants.PLOS digital health · 2022Article
- GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies.British journal of sports medicine · 2022Article
- Changes in trunk and head acceleration during the 6-minute walk test and its relation to falls risk for adults with multiple sclerosis.Experimental brain research · 2022Article
- Machine learning algorithms as new screening approach for patients with endometriosis.Scientific reports · 2022Article
- Intelligent Fall-Risk Assessment Based on Gait Stability and Symmetry Among Older Adults Using Tri-Axial Accelerometry.Frontiers in bioengineering and biotechnology · 2022Article
- Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation.Journal of medical Internet research · 2021Article
- Prediction of fall risk among community-dwelling older adults using a wearable system.Scientific reports · 2021Article
- Strength Training to Prevent Falls in Older Adults: A Systematic Review with Meta-Analysis of Randomized Controlled Trials.Journal of clinical medicine · 2021Review
- Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2021Review
- Activity Tracking Using Ear-Level Accelerometers.Frontiers in digital health · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Current clinical methods of screening older adults for fall risk have difficulties. We analyzed data on 67 women (mean age = 77.5 years) who participated in the Objective Physical Activity and Cardiovascular Health (OPACH) study within the Women's Health Initiative and in an accelerometer calibration substudy. Participants completed the short physical performance battery (SPPB), questions about falls in the past year, and a timed 400-m walk while wearing a hip triaxial accelerometer (30 Hz). Women with SPPB ≤ 9 and 1+reported falls (
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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.