Literature DB >> 26916339

Continuous Monitoring of Turning Mobility and Its Association to Falls and Cognitive Function: A Pilot Study.

Martina Mancini1, Heather Schlueter2, Mahmoud El-Gohary3, Nora Mattek4, Colette Duncan4, Jeffrey Kaye5, Fay B Horak6.   

Abstract

BACKGROUND: Difficulty turning is a major contributor to mobility disability, falls, and reduced quality of life in older people because it requires dynamic balance control that worsens with age. However, no study has quantified the quality and quantity of turning during normal daily activities in older people. The objective of this pilot study was to determine if quality of turning during daily activities is associated with falls and/or cognitive function.
METHODS: Thirty-five elderly participants (85 ± 8 years) wore three Opal inertial sensors. Turning and activity rate were measured. Based on retrospective falls, participants were grouped into nonfallers (N = 16), single fallers (N = 12), and recurrent fallers (N = 7). We also determined which turning characteristic predicted falls in the 6 months following the week of monitoring.
RESULTS: Quality of turning was significantly compromised in recurrent fallers compared with nonfallers (p < .05). In contrast, activity rate and mean number of turns per hour were similar across the three groups. Also, quality of turning during a prescribed test was similar across the three groups. Visuospatial and memory functions and the Tinetti Balance Scores were associated with quality of turning. Future falls were related to an increased variability of number of steps to turn.
CONCLUSIONS: Continuous monitoring of turning characteristics, while walking during daily activities, is feasible in older people. Turning characteristics during daily life appear to be more sensitive to fall risk than prescribed turning tasks. These findings suggest a slower, less variable, cautious turning strategy in elderly volunteers with a history of falls.
© The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Cognition; Continuous monitoring; Fall

Mesh:

Year:  2016        PMID: 26916339      PMCID: PMC5007616          DOI: 10.1093/gerona/glw019

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  43 in total

1.  A clinical test of stepping and change of direction to identify multiple falling older adults.

Authors:  Wayne Dite; Viviene A Temple
Journal:  Arch Phys Med Rehabil       Date:  2002-11       Impact factor: 3.966

2.  Video task analysis of turning during activities of daily living.

Authors:  Brian C Glaister; Greta C Bernatz; Glenn K Klute; Michael S Orendurff
Journal:  Gait Posture       Date:  2006-05-26       Impact factor: 2.840

3.  Does the evaluation of gait quality during daily life provide insight into fall risk? A novel approach using 3-day accelerometer recordings.

Authors:  Aner Weiss; Marina Brozgol; Moran Dorfman; Talia Herman; Shirley Shema; Nir Giladi; Jeffrey M Hausdorff
Journal:  Neurorehabil Neural Repair       Date:  2013-06-17       Impact factor: 3.919

4.  Falls in the elderly: a prospective study of risk factors and risk profiles.

Authors:  W C Graafmans; M E Ooms; H M Hofstee; P D Bezemer; L M Bouter; P Lips
Journal:  Am J Epidemiol       Date:  1996-06-01       Impact factor: 4.897

5.  Falls.

Authors:  S R Cummings; M C Nevitt
Journal:  N Engl J Med       Date:  1994-09-29       Impact factor: 91.245

6.  Gait slowing as a predictor of incident dementia: 6-year longitudinal data from the Sydney Older Persons Study.

Authors:  L M Waite; D A Grayson; O Piguet; H Creasey; H P Bennett; G A Broe
Journal:  J Neurol Sci       Date:  2004-12-08       Impact factor: 3.181

7.  Do clinical scales of balance reflect turning abnormalities in people with Parkinson's disease?

Authors:  Laurie A King; Martina Mancini; Kelsey Priest; Arash Salarian; Fatima Rodrigues-de-Paula; Fay Horak
Journal:  J Neurol Phys Ther       Date:  2012-03       Impact factor: 3.649

8.  The trajectory of gait speed preceding mild cognitive impairment.

Authors:  Teresa Buracchio; Hiroko H Dodge; Diane Howieson; Dara Wasserman; Jeffrey Kaye
Journal:  Arch Neurol       Date:  2010-08

9.  Increased risk of falling in older community-dwelling women with mild cognitive impairment.

Authors:  Teresa Y Liu-Ambrose; Maureen C Ashe; Peter Graf; B Lynn Beattie; Karim M Khan
Journal:  Phys Ther       Date:  2008-09-26

10.  Reducing hip fracture risk during sideways falls: evidence in young adults of the protective effects of impact to the hands and stepping.

Authors:  Fabio Feldman; Stephen N Robinovitch
Journal:  J Biomech       Date:  2007-03-28       Impact factor: 2.712

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  48 in total

1.  A comparison of turn and straight walking phases as predictors of incident falls.

Authors:  Emma Gulley; Emmeline Ayers; Joe Verghese
Journal:  Gait Posture       Date:  2020-05-15       Impact factor: 2.840

2.  Quantity and quality of gait and turning in people with multiple sclerosis, Parkinson's disease and matched controls during daily living.

Authors:  Vrutangkumar V Shah; James McNames; Martina Mancini; Patricia Carlson-Kuhta; Rebecca I Spain; John G Nutt; Mahmoud El-Gohary; Carolin Curtze; Fay B Horak
Journal:  J Neurol       Date:  2020-01-11       Impact factor: 4.849

3.  Cognitive associations with comprehensive gait and static balance measures in Parkinson's disease.

Authors:  Rosie Morris; Douglas N Martini; Katrijn Smulders; Valerie E Kelly; Cyrus P Zabetian; Kathleen Poston; Amie Hiller; Kathryn A Chung; Laurice Yang; Shu-Ching Hu; Karen L Edwards; Brenna Cholerton; Thomas J Grabowski; Thomas J Montine; Joseph F Quinn; Fay Horak
Journal:  Parkinsonism Relat Disord       Date:  2019-07-04       Impact factor: 4.891

4.  XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes.

Authors:  Byungjoo Noh; Changhong Youm; Eunkyoung Goh; Myeounggon Lee; Hwayoung Park; Hyojeong Jeon; Oh Yoen Kim
Journal:  Sci Rep       Date:  2021-06-09       Impact factor: 4.379

5.  Continuous Monitoring of Patient Mobility for 18 Months Using Inertial Sensors following Traumatic Knee Injury: A Case Study.

Authors:  Arne Mueller; Holger Hoefling; Timur Nuritdinow; Nicholas Holway; Matthias Schieker; Martin Daumer; Ieuan Clay
Journal:  Digit Biomark       Date:  2018-08-02

6.  Using Smart City Technology to Make Healthcare Smarter.

Authors:  Diane J Cook; Glen Duncan; Gina Sprint; Roschelle Fritz
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2018-01-23       Impact factor: 10.961

7.  Validity of Instrumented 360° Turn Test in Older Adults with Cognitive Impairment.

Authors:  Ellen L McGough; Molly Gries; Linda Teri; Valerie E Kelly
Journal:  Phys Occup Ther Geriatr       Date:  2020-01-08

8.  The feasibility and validity of a wearable sensor system to assess the stability of high-functioning lower-limb prosthesis users.

Authors:  Kyle T Miller; Molly Russell; Terese Jenks; Kaddie Surratt; Kelly Poretti; Samantha S Eigenbrot; Jonathan S Akins; Matthew J Major
Journal:  J Prosthet Orthot       Date:  2020-08-11

9.  Does gait bout definition influence the ability to discriminate gait quality between people with and without multiple sclerosis during daily life?

Authors:  Vrutangkumar V Shah; James McNames; Graham Harker; Carolin Curtze; Patricia Carlson-Kuhta; Rebecca I Spain; Mahmoud El-Gohary; Martina Mancini; Fay B Horak
Journal:  Gait Posture       Date:  2020-11-25       Impact factor: 2.840

Review 10.  Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review.

Authors:  Jelena Bezold; Janina Krell-Roesch; Tobias Eckert; Darko Jekauc; Alexander Woll
Journal:  Eur Rev Aging Phys Act       Date:  2021-07-09       Impact factor: 3.878

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