Literature DB >> 19592041

Continued validation of the Symptom Inventory in multiple sclerosis.

Robert W Motl1, Carolyn E Schwartz, Timothy Vollmer.   

Abstract

OBJECTIVE: This study examined the construct, discriminant, and incremental validity of scores from the short (SI-S) and long (SI-L) forms of the Symptom Inventory in persons with MS.
METHODS: The sample included 133 individuals with MS who completed the SI-L, Performance Scales (PS), EDSS, Multiple Sclerosis Walking Scale-12 (MSWS-12), Multiple Sclerosis Impact Scale-29 (MSIS-29), and Godin Leisure-Time Exercise Questionnaire (GLTEQ) and then wore an accelerometer for 7days. The data were analyzed using SPSS, version 16.0.
RESULTS: There were large correlations between SI-S and SI-L total and subscale scores and between SI-S, SI-L, and PS total scores. The correlations were similar in magnitude between SI-S, SI-L, and PS scores with EDSS and MSIS-29 scores, but not with MSWS-12, accelerometer, and GLTEQ scores. Discriminant function analysis indicated that SI-S scores better differentiated groups with minimal, moderate, and severe disability than did SI-L and PS scores. Regression analysis indicated that SI-S and SI-L scores explained incrementally more variance in EDSS, MSWS-12, and MSIS-29 scores after accounting for PS scores alone.
CONCLUSION: Such findings provide additional support for the validity of both SI-S and SI-L scores in individuals with MS and support the adoption of either the SI-S or SI-L by clinical MS researchers.

Entities:  

Mesh:

Year:  2009        PMID: 19592041     DOI: 10.1016/j.jns.2009.06.015

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  7 in total

1.  Does a waist-worn accelerometer capture intra- and inter-person variation in walking behavior among persons with multiple sclerosis?

Authors:  Robert W Motl; Jacob J Sosnoff; Deirdre Dlugonski; Yoojin Suh; Myla Goldman
Journal:  Med Eng Phys       Date:  2010-09-26       Impact factor: 2.242

2.  Possible clinical outcome measures for clinical trials in patients with multiple sclerosis.

Authors:  Myla D Goldman; Robert W Motl; Richard A Rudick
Journal:  Ther Adv Neurol Disord       Date:  2010-07       Impact factor: 6.570

3.  Accelerometry and its association with objective markers of walking limitations in ambulatory adults with multiple sclerosis.

Authors:  Robert W Motl; Deirdre Dlugonski; Yoojin Suh; Madeline Weikert; Bo Fernhall; Myla Goldman
Journal:  Arch Phys Med Rehabil       Date:  2010-12       Impact factor: 3.966

4.  Digital Phenotyping in Clinical Neurology.

Authors:  Anoopum S Gupta
Journal:  Semin Neurol       Date:  2022-01-11       Impact factor: 3.212

5.  Item response theory-based measure of global disability in multiple sclerosis derived from the Performance Scales and related items.

Authors:  Eric Chamot; Ilya Kister; Gary R Cutter
Journal:  BMC Neurol       Date:  2014-10-03       Impact factor: 2.474

Review 6.  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

7.  The Performance Scales disability measure for multiple sclerosis: use and sensitivity to clinically important differences.

Authors:  Carolyn E Schwartz; Victoria E Powell
Journal:  Health Qual Life Outcomes       Date:  2017-03-09       Impact factor: 3.186

  7 in total

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