Associations between Self-Reported Symptoms and Gait Parameters Using In-Home Sensors in Persons with Multiple Sclerosis

Pamela Newland, Amber Salter, Alicia Flach, Louise Flick, Florian P. Thomas, Elsie E. Gulick, Marilyn Rantz, Marjorie Skubic

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Background and Purpose Multiple sclerosis (MS) is a progressive neurological disorder, characterized by exacerbations and remissions, often resulting in disability affecting multiple neurological functions. The purpose of this article was (1) to describe the frequencies of self-reported symptoms in a natural environment and (2) to determine characteristics and associations between self-reported symptoms and home gait parameters (speed, stride time, and stride length) at baseline and at 3 months in patients with MS. Methods Participants completed the self-report MS-Related Symptom Scale to measure symptoms. A three-dimensional depth imaging system (Foresite Healthcare) was used to measure gait parameters in the home environment. Results These data show significant correlations between the following symptoms: knee locking or collapsing, difficulty sleeping, depression, and anxiety with decreased number of average walks per day; however, the symptoms including trouble-making toilet: day and difficulty in starting urine were positively correlated with average walks per day. The symptom numbness was significantly correlated with decreased speed and decreased stride length. Discussion and Conclusions Our findings suggest that certain groups of symptoms were more frequently reported with certain gait parameters (stride time/speed) in persons with MS. Rehabilitation nurses can provide optimal care to prevent future decline in symptoms and gait.

Original languageEnglish
Pages (from-to)80-87
Number of pages8
JournalRehabilitation Nursing
Issue number2
StatePublished - Mar 1 2020


  • Gait variability
  • home monitoring
  • multiple sclerosis
  • symptoms


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