Literature DB >> 9107635

Quantitation of lower physical activity in persons with multiple sclerosis.

A V Ng1, J A Kent-Braun.   

Abstract

Multiple sclerosis (MS) is a demyelinating disease of the central nervous system that often affects the motor system. We tested the hypothesis that physical activity was lower in a group of 17 MS patients (mean +/- SD; age = 46 +/- 6 yr, 11 females, 6 males) compared with 15 healthy sedentary control subjects (age = 44 +/- 7 yr, 9 females, 6 males). Physical activity was measured with a three-dimensional accelerometer and with an activity questionnaire for 7 d. Vector magnitude values from the accelerometer for the MS and sedentary control subjects were 121,027 +/- 59,336 and 185,892 +/- 60,566 arbitrary units/day, respectively (P = 0.01). Estimated energy expenditure values derived from the questionnaire were 35.9 +/- 3.0 and 36.2 +/- 4.1 Kcal.kg-1.d-1 (NS), respectively. Thus, when measured directly with an accelerometer, activity was lower in MS compared with sedentary control subjects. The data also suggest that the accelerometer was more sensitive than the questionnaire for detecting differences in activity between two relatively sedentary populations, including one with neurologic disease.

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Year:  1997        PMID: 9107635     DOI: 10.1097/00005768-199704000-00014

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  29 in total

1.  Physical activity monitoring based on accelerometry: validation and comparison with video observation.

Authors:  K Aminian; P Robert; E E Buchser; B Rutschmann; D Hayoz; M Depairon
Journal:  Med Biol Eng Comput       Date:  1999-05       Impact factor: 2.602

Review 2.  Recommendations for physical activity in patients with multiple sclerosis.

Authors:  J H Petajan; A T White
Journal:  Sports Med       Date:  1999-03       Impact factor: 11.136

3.  Quantified measurement of activity provides insight into motor function and recovery in neurological disease.

Authors:  M E Busse; O R Pearson; R Van Deursen; C M Wiles
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-06       Impact factor: 10.154

4.  Classification of basic daily movements using a triaxial accelerometer.

Authors:  M J Mathie; B G Celler; N H Lovell; A C F Coster
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

5.  Self-efficacy and environmental correlates of physical activity among older women and women with multiple sclerosis.

Authors:  Katherine S Morris; Edward McAuley; Robert W Motl
Journal:  Health Educ Res       Date:  2007-10-24

6.  Novel wearable technology for assessing spontaneous daily physical activity and risk of falling in older adults with diabetes.

Authors:  Bijan Najafi; David G Armstrong; Jane Mohler
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

7.  Time course of strength adaptations following high-intensity resistance training in individuals with multiple sclerosis.

Authors:  A Manca; Z Dvir; D Dragone; G Mureddu; G Bua; Franca Deriu
Journal:  Eur J Appl Physiol       Date:  2017-03-01       Impact factor: 3.078

8.  Fatigue and physical disability in patients with multiple sclerosis: a structural equation modeling approach.

Authors:  Yvonne Bol; Annelien A Duits; Richel Lousberg; Raymond M M Hupperts; Michelle H P Lacroix; Frans R J Verhey; Johan W S Vlaeyen
Journal:  J Behav Med       Date:  2010-05-28

9.  Physical activity and fatigue in breast cancer and multiple sclerosis: psychosocial mechanisms.

Authors:  Edward McAuley; Siobhan M White; Laura Q Rogers; Robert W Motl; Kerry S Courneya
Journal:  Psychosom Med       Date:  2009-11-30       Impact factor: 4.312

10.  Does physical activity change predict functional recovery in low back pain? Protocol for a prospective cohort study.

Authors:  Paul Hendrick; Stephan Milosavljevic; Melanie L Bell; Leigh Hale; Deirdre A Hurley; Suzanne M McDonough; Markus Melloh; David G Baxter
Journal:  BMC Musculoskelet Disord       Date:  2009-11-06       Impact factor: 2.362

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