140 related articles for article (PubMed ID: 25486217)
1. Accelerometry-based gait analysis predicts falls among patients with a recent fracture who are ambulatory: a 1-year prospective study.
Matsumoto H; Makabe T; Morita T; Ikuhara K; Kajigase A; Okamoto Y; Ashikawa E; Kobayashi E; Hagino H
Int J Rehabil Res; 2015 Jun; 38(2):131-6. PubMed ID: 25486217
[TBL] [Abstract][Full Text] [Related]
2. Ambulatory fall-risk assessment: amount and quality of daily-life gait predict falls in older adults.
van Schooten KS; Pijnappels M; Rispens SM; Elders PJ; Lips P; van Dieën JH
J Gerontol A Biol Sci Med Sci; 2015 May; 70(5):608-15. PubMed ID: 25568095
[TBL] [Abstract][Full Text] [Related]
3. Self-perceived gait stability modulates the effect of daily life gait quality on prospective falls in older adults.
Weijer RHA; Hoozemans MJM; van Dieën JH; Pijnappels M
Gait Posture; 2018 May; 62():475-479. PubMed ID: 29674287
[TBL] [Abstract][Full Text] [Related]
4. Accelerometry-based gait characteristics evaluated using a smartphone and their association with fall risk in people with chronic stroke.
Isho T; Tashiro H; Usuda S
J Stroke Cerebrovasc Dis; 2015 Jun; 24(6):1305-11. PubMed ID: 25881773
[TBL] [Abstract][Full Text] [Related]
5. Daily-Life Gait Quality as Predictor of Falls in Older People: A 1-Year Prospective Cohort Study.
van Schooten KS; Pijnappels M; Rispens SM; Elders PJ; Lips P; Daffertshofer A; Beek PJ; van Dieën JH
PLoS One; 2016; 11(7):e0158623. PubMed ID: 27389583
[TBL] [Abstract][Full Text] [Related]
6. Fracture predictive ability of physical performance tests and history of falls in elderly women: a 10-year prospective study.
Wihlborg A; Englund M; Åkesson K; Gerdhem P
Osteoporos Int; 2015 Aug; 26(8):2101-9. PubMed ID: 25832178
[TBL] [Abstract][Full Text] [Related]
7. The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study.
Doi T; Hirata S; Ono R; Tsutsumimoto K; Misu S; Ando H
J Neuroeng Rehabil; 2013 Jan; 10():7. PubMed ID: 23356576
[TBL] [Abstract][Full Text] [Related]
8. Identification of fall risk predictors in daily life measurements: gait characteristics' reliability and association with self-reported fall history.
Rispens SM; van Schooten KS; Pijnappels M; Daffertshofer A; Beek PJ; van Dieën JH
Neurorehabil Neural Repair; 2015 Jan; 29(1):54-61. PubMed ID: 24759809
[TBL] [Abstract][Full Text] [Related]
9. Accelerometry-based assessment and detection of early signs of balance deficits.
Similä H; Immonen M; Ermes M
Comput Biol Med; 2017 Jun; 85():25-32. PubMed ID: 28432935
[TBL] [Abstract][Full Text] [Related]
10. Gait speed and one-leg standing time each add to the predictive ability of FRAX.
Lundin H; Sääf M; Strender LE; Nyren S; Johansson SE; Salminen H
Osteoporos Int; 2017 Jan; 28(1):179-187. PubMed ID: 27844133
[TBL] [Abstract][Full Text] [Related]
11. Does the evaluation of gait quality during daily life provide insight into fall risk? A novel approach using 3-day accelerometer recordings.
Weiss A; Brozgol M; Dorfman M; Herman T; Shema S; Giladi N; Hausdorff JM
Neurorehabil Neural Repair; 2013 Oct; 27(8):742-52. PubMed ID: 23774124
[TBL] [Abstract][Full Text] [Related]
12. Differences in gait and trunk movement between patients after ankle fracture and healthy subjects.
Hsu CY; Tsai YS; Yau CS; Shie HH; Wu CM
Biomed Eng Online; 2019 Mar; 18(1):26. PubMed ID: 30890177
[TBL] [Abstract][Full Text] [Related]
13. Differences Between Gait on Stairs and Flat Surfaces in Relation to Fall Risk and Future Falls.
Wang K; Delbaere K; Brodie MAD; Lovell NH; Kark L; Lord SR; Redmond SJ
IEEE J Biomed Health Inform; 2017 Nov; 21(6):1479-1486. PubMed ID: 28278486
[TBL] [Abstract][Full Text] [Related]
14. Added value of a triaxial accelerometer assessing gait parameters to predict falls and mortality among nursing home residents: A two-year prospective study.
Buckinx F; Beaudart C; Slomian J; Maquet D; Demonceau M; Gillain S; Petermans J; Reginster JY; Bruyère O
Technol Health Care; 2015; 23(2):195-203. PubMed ID: 25468758
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of risk of falls in patients at a memory impairment outpatient clinic.
Kikuchi R; Kozaki K; Iwata A; Hasegawa H; Toba K
Geriatr Gerontol Int; 2009 Sep; 9(3):298-303. PubMed ID: 19702941
[TBL] [Abstract][Full Text] [Related]
16. Investigating the predictive ability of gait speed and quadriceps strength for incident falls in community-dwelling older women at high risk of fracture.
Scott D; Stuart AL; Kay D; Ebeling PR; Nicholson G; Sanders KM
Arch Gerontol Geriatr; 2014; 58(3):308-13. PubMed ID: 24331098
[TBL] [Abstract][Full Text] [Related]
17. Functional gait assessment: concurrent, discriminative, and predictive validity in community-dwelling older adults.
Wrisley DM; Kumar NA
Phys Ther; 2010 May; 90(5):761-73. PubMed ID: 20360052
[TBL] [Abstract][Full Text] [Related]
18. The Aachen Mobility and Balance Index to measure physiological falls risk: a comparison with the Tinetti POMA Scale.
Knobe M; Giesen M; Plate S; Gradl-Dietsch G; Buecking B; Eschbach D; van Laack W; Pape HC
Eur J Trauma Emerg Surg; 2016 Oct; 42(5):537-545. PubMed ID: 27287271
[TBL] [Abstract][Full Text] [Related]
19. Gait variability and fall risk in community-living older adults: a 1-year prospective study.
Hausdorff JM; Rios DA; Edelberg HK
Arch Phys Med Rehabil; 2001 Aug; 82(8):1050-6. PubMed ID: 11494184
[TBL] [Abstract][Full Text] [Related]
20. Trunk inclination and hip extension mobility, but not thoracic kyphosis angle, are related to 3D-accelerometry based gait alterations and increased fall-risk in older persons.
Demarteau J; Jansen B; Van Keymolen B; Mets T; Bautmans I
Gait Posture; 2019 Jul; 72():89-95. PubMed ID: 31176286
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
