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Updated: Jul 22, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Risk factors for falling for people with Multiple Sclerosis identified in a prospective cohort study
Gillian Quinn1,2, Laura Comber1, Chris McGuigan3
1School of Allied Health, Health Research Institute, University of Limerick, Limerick, Ireland.
Objective:
To identify risk factors for falling for people with Multiple Sclerosis.
Design:
Prospective cohort study.
Setting:
Neurology service in a tertiary hospital.
Subjects:
Participants were 101 people with Multiple Sclerosis and Expanded Disability Status Score of 3-6.5. One participant withdrew after the baseline assessment; data were analysed for 100 participants.
Interventions:
No intervention.
Main Measures:
Outcome was rate of falls, and predictors were Timed Up and Go, Symbol Digit Modalities test, demographics and 15 self-report questions about various symptoms including fatigue, concentration, dual tasking, bladder and bowel control. Three-month prospective diaries recorded falls.
Results:
There were 791 falls reported over the 3-month period from a total of 56 fallers. Falls rate per person-year was 32.08 falls. Following multivariable regression analysis, the model with the greatest levels of clinical utility and discriminative ability (sensitivity 88% and area under the receiving operating curve statistic = 0.72, 95% CI 0.62-0.82), included the variables of history of a fall, not having visual problems, problems with bladder control and a slower speed on the Timed Up and Go.
Conclusion:
This study confirms the high incidence of falls for people with Multiple Sclerosis and provides a risk prediction model including fall history, problems with bladder control, not having visual problems and a slower Timed Up and Go speed that may be used to identify those at greater risk and in need of tailored falls prevention intervention.
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