Literature DB >> 33339293

Will We Do If We Can? Habitual Qualitative and Quantitative Physical Activity in Multi-Morbid, Older Persons with Cognitive Impairment.

Bastian Abel1,2, Martin Bongartz1,3, Tobias Eckert1,4, Phoebe Ullrich1, Rainer Beurskens1,5, Sabato Mellone6, Jürgen M Bauer1,2, Sallie E Lamb7, Klaus Hauer1.   

Abstract

This study aimed to identify determinants of quantitative dimensions of physical activity (PA; duration, frequency, and intensity) in community-dwelling, multi-morbid, older persons with cognitive impairment (CI). In addition, qualitative and quantitative aspects of habitual PA have been described. Quantitative PA and qualitative gait characteristics while walking straight and while walking turns were documented by a validated, sensor-based activity monitor. Univariate and multiple linear regression analyses were performed to delineate associations of quantitative PA dimensions with qualitative characteristics of gait performance and further potential influencing factors (motor capacity measures, demographic, and health-related parameters). In 94 multi-morbid, older adults (82.3 ± 5.9 years) with CI (Mini-Mental State Examination score: 23.3 ± 2.4), analyses of quantitative and qualitative PA documented highly inactive behavior (89.6% inactivity) and a high incidence of gait deficits, respectively. The multiple regression models (adjusted R2 = 0.395-0.679, all p < 0.001) identified specific qualitative gait characteristics as independent determinants for all quantitative PA dimensions, whereas motor capacity was an independent determinant only for the PA dimension duration. Demographic and health-related parameters were not identified as independent determinants. High associations between innovative, qualitative, and established, quantitative PA performances may suggest gait quality as a potential target to increase quantity of PA in multi-morbid, older persons.

Entities:  

Keywords:  activity behavior; determinants; gait; qualitative; regularity; sensor-based; symmetry; turning

Mesh:

Year:  2020        PMID: 33339293      PMCID: PMC7766414          DOI: 10.3390/s20247208

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  81 in total

1.  Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery.

Authors:  J M Guralnik; L Ferrucci; C F Pieper; S G Leveille; K S Markides; G V Ostir; S Studenski; L F Berkman; R B Wallace
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2000-04       Impact factor: 6.053

2.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

3.  Evaluation of age-related differences in the stride-to-stride fluctuations, regularity and symmetry of gait using a waist-mounted tri-axial accelerometer.

Authors:  Dylan Kobsar; Chad Olson; Raman Paranjape; Thomas Hadjistavropoulos; John M Barden
Journal:  Gait Posture       Date:  2013-09-19       Impact factor: 2.840

4.  Detection of gait and postures using a miniaturised triaxial accelerometer-based system: accuracy in community-dwelling older adults.

Authors:  Baukje Dijkstra; Yvo Kamsma; Wiebren Zijlstra
Journal:  Age Ageing       Date:  2010-01-18       Impact factor: 10.668

5.  Timed up-and-go test is a useful predictor of fracture incidence.

Authors:  Su-Min Jeong; Dong Wook Shin; Kyungdo Han; Jin Hyung Jung; Sohyun Chun; Hee-Won Jung; Ki Young Son
Journal:  Bone       Date:  2019-07-16       Impact factor: 4.398

Review 6.  The Impact of Mild Cognitive Impairment on Gait and Balance: A Systematic Review and Meta-Analysis of Studies Using Instrumented Assessment.

Authors:  Lindsay Bahureksa; Bijan Najafi; Ahlam Saleh; Marwan Sabbagh; David Coon; M Jane Mohler; Michael Schwenk
Journal:  Gerontology       Date:  2016-05-13       Impact factor: 5.140

7.  Quantitative gait markers and incident fall risk in older adults.

Authors:  Joe Verghese; Roee Holtzer; Richard B Lipton; Cuiling Wang
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-04-06       Impact factor: 6.053

8.  Daily-Life Gait Quality as Predictor of Falls in Older People: A 1-Year Prospective Cohort Study.

Authors:  Kimberley S van Schooten; Mirjam Pijnappels; Sietse M Rispens; Petra J M Elders; Paul Lips; Andreas Daffertshofer; Peter J Beek; Jaap H van Dieën
Journal:  PLoS One       Date:  2016-07-07       Impact factor: 3.240

9.  Is every-day walking in older adults more analogous to dual-task walking or to usual walking? Elucidating the gaps between gait performance in the lab and during 24/7 monitoring.

Authors:  Inbar Hillel; Eran Gazit; Alice Nieuwboer; Laura Avanzino; Lynn Rochester; Andrea Cereatti; Ugo Della Croce; Marcel Olde Rikkert; Bastiaan R Bloem; Elisa Pelosin; Silvia Del Din; Pieter Ginis; Nir Giladi; Anat Mirelman; Jeffrey M Hausdorff
Journal:  Eur Rev Aging Phys Act       Date:  2019-05-03       Impact factor: 3.878

10.  Wearable Sensor-Based Daily Life Walking Assessment of Gait for Distinguishing Individuals With Amnestic Mild Cognitive Impairment.

Authors:  Haiqun Xie; Yukai Wang; Shuai Tao; Shuyun Huang; Chengguo Zhang; Zeping Lv
Journal:  Front Aging Neurosci       Date:  2019-10-22       Impact factor: 5.750

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