Literature DB >> 17453852

Measuring activity patterns using actigraphy in multiple sclerosis.

Daphne Kos1, Guy Nagels, Marie B D'Hooghe, William Duquet, Stephan Ilsbroukx, Stijn Delbeke, Eric Kerckhofs.   

Abstract

Multiple sclerosis (MS) is a demyelinating disease resulting in impairments in motor and mental performance and restrictions in activities. Self-report instruments are commonly used to measure activity patterns; alternatively, actigraphs can be placed on several parts of the body. The aims of this study were to evaluate the superiority and specificity of actigraph placement (wrist vs. ankle) in subjects with MS and healthy controls and explore the relationship between self-report and objective activity patterns. A total of 19 subjects with definite MS and 10 healthy volunteers wore actigraphs on the non-dominant wrist and ankle for three days while they kept a log to register performed activities every .5 h. Wrist and ankle actigraphs produced similar activity patterns during the most active hours (09:00-20:30 h) (ANOVA, timexlocation interaction: F=.901, df=23, p=.597) in individuals with MS and healthy controls (between subjects factor F=3.275, p=.083). Wrist placement of the actigraphs was better tolerated than ankle placement. Wrist actigraph data corresponded to a higher degree with self-reported activities of the upper limbs in the early afternoon, whereas ankle data seem to reflect better whole body movements in the later afternoon/early evening. Overall, actigraph data correlated moderately with self-reported activity (r=.57 for ankle and r=.59 for wrist). The regression model revealed that self-reported activities explained 44% of the variance in ankle and 50% of wrist data. Wrist and ankle actigraphs produce similar activity patterns in subjects with MS and in healthy controls; however, the placement of actigraphs on the wrist is better tolerated. Ankle actigraphs reflect general movement but underestimate upper body activity. Subjective registration of activity level partly matches with objective actigraph measurement. A combination of both objective and subjective activity registration is recommended to evaluate the physical activity pattern of subjects with MS.

Entities:  

Mesh:

Year:  2007        PMID: 17453852     DOI: 10.1080/07420520701282364

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  12 in total

Review 1.  Performance Measures for Upper Extremity Functions in Persons with Multiple Sclerosis.

Authors:  Turhan Kahraman
Journal:  Noro Psikiyatr Ars       Date:  2018       Impact factor: 1.339

2.  Fatigue, sleepiness, and physical activity in patients with multiple sclerosis.

Authors:  S Merkelbach; H Schulz; H W Kölmel; G Gora; J Klingelhöfer; R Dachsel; F Hoffmann; U Polzer
Journal:  J Neurol       Date:  2010-08-18       Impact factor: 4.849

3.  Is Symptomatic Fatigue Associated With Physical Activity and Sedentary Behaviors Among Persons With Multiple Sclerosis?

Authors:  Whitney N Neal; Katie L Cederberg; Brenda Jeng; Jeffer E Sasaki; Robert W Motl
Journal:  Neurorehabil Neural Repair       Date:  2020-04-28       Impact factor: 3.919

4.  The Armeo Spring as training tool to improve upper limb functionality in multiple sclerosis: a pilot study.

Authors:  Domien Gijbels; Ilse Lamers; Lore Kerkhofs; Geert Alders; Els Knippenberg; Peter Feys
Journal:  J Neuroeng Rehabil       Date:  2011-01-24       Impact factor: 4.262

5.  Temporal associations between daytime physical activity and sleep in children.

Authors:  Anu-Katriina Pesonen; Noora M Sjöstén; Karen A Matthews; Kati Heinonen; Silja Martikainen; Eero Kajantie; Tuija Tammelin; Johan G Eriksson; Timo Strandberg; Katri Räikkönen
Journal:  PLoS One       Date:  2011-08-23       Impact factor: 3.240

6.  Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study).

Authors:  Layal Shammas; Tom Zentek; Birte von Haaren; Stefan Schlesinger; Stefan Hey; Asarnusch Rashid
Journal:  Biomed Eng Online       Date:  2014-02-06       Impact factor: 2.819

Review 7.  Remote Physical Activity Monitoring in Neurological Disease: A Systematic Review.

Authors:  Valerie A J Block; Erica Pitsch; Peggy Tahir; Bruce A C Cree; Diane D Allen; Jeffrey M Gelfand
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

8.  Circadian Activity Rhythm in Early Relapsing-Remitting Multiple Sclerosis.

Authors:  Lorenzo Tonetti; Federico Camilli; Sara Giovagnoli; Vincenzo Natale; Alessandra Lugaresi
Journal:  J Clin Med       Date:  2019-12-15       Impact factor: 4.241

9.  What gait features influence the amount and intensity of physical activity in people with multiple sclerosis?

Authors:  Massimiliano Pau; Micaela Porta; Giancarlo Coghe; Eleonora Cocco
Journal:  Medicine (Baltimore)       Date:  2021-03-05       Impact factor: 1.817

10.  Mobility disability and the pattern of accelerometer-derived sedentary and physical activity behaviors in people with multiple sclerosis.

Authors:  Victor Ezeugwu; Rachel E Klaren; Elizabeth A Hubbard; Patricia Trish Manns; Robert W Motl
Journal:  Prev Med Rep       Date:  2015-04-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.