The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ambulatory Fall-Risk Assessment: Amount and Quality of Daily-Life Gait Predict Falls in Older Adults
Open accessAbstract
BACKGROUND: Ambulatory measurements of trunk accelerations can provide valuable information on the amount and quality of daily-life activities and contribute to the identification of individuals at risk of falls. We compared associations between retrospective and prospective falls with potential risk factors as measured by daily-life accelerometry. In addition, we investigated predictive value of these parameters for 6-month prospective falls. METHODS: One week of trunk accelerometry (DynaPort MoveMonitor) was obtained in 169 older adults (mean age 75). The amount of daily activity and quality of gait were determined and validated questionnaires on fall-risk factors, grip strength, and trail making test were obtained. Six-month fall incidence was obtained retrospectively by recall and prospectively by fall diaries and monthly telephone contact. RESULTS: Among all participants, 35.5% had a history of ≥1 falls and 34.9% experienced ≥1 falls during 6-month follow-up. Logistic regressions showed that questionnaires, grip strength, and trail making test, as well as the amount and quality of gait, were significantly associated with falls. Significant associations differed between retrospective and prospective analyses although odds ratios indicated similar patterns. Predictive ability based on questionnaires, grip strength, and trail making test (area under the curve .68) improved substantially by accelerometry-derived parameters of the amount of gait (number of strides), gait quality (complexity, intensity, and smoothness), and their interactions (area under the curve .82). CONCLUSIONS: Daily-life accelerometry contributes substantially to the identification of individuals at risk of falls, and can predict falls in 6 months with good accuracy.
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Cites
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025
Gait speed and survival in older adults.
Studenski, S. (2011) · JAMA · doi:10.1001/jama.2010.1923 · Cited by 4,558
Interventions for preventing falls in older people living in the community
Gillespie, L. D., Robertson, M. C., Gillespie, W. J., Sherrington, C., Gates, S., Clemson, L., & Lamb, S. E. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007146.pub3 · Cited by 3,966
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Celik, Y., Stuart, S., Woo, W., Sejdic, E., & Godfrey, A. (2022) · Information Fusion · doi:10.1016/j.inffus.2021.09.016 · Cited by 83
Using a Motion Sensor to Categorize Nonspecific Low Back Pain Patients: A Machine Learning Approach
Abdollahi, M., Ashouri, S., Abedi, M., Azadeh-Fard, N., Parnianpour, M., Khalaf, K., & Rashedi, E. (2020) · Sensors · doi:10.3390/s20123600 · Cited by 69
Increasing fall risk awareness using wearables: a fall risk awareness protocol
Danielsen, A., Olofsen, H., & Bremdal, B. A. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.08.016 · Cited by 66
Metadata
- Authors
- van Schooten, K. S., Pijnappels, M., Rispens, S. M., Elders, P. J. M., Lips, P., & van Dieën, J. H.
- Venue
- The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-01-07
- Volume
- 70
- Issue
- 5
- Pages
- 608-615
- ISSN
- 1079-5006 (ISSN-L)
- 1758-535X
- OpenAlex
- W2148317675
- Cited by
- 259
- References
- 3
- FWCI
- 69.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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