Does Type of Pain Predict Pain Severity Changes in Individuals With Multiple Sclerosis? A Longitudinal Analysis Using Generalized Estimating Equations | Zendy

Shahnaz Shahrbanian | Zendy; Pierre Duquete | Zendy; Nancy E. Mayo | Zendy

Open Access

Does Type of Pain Predict Pain Severity Changes in Individuals With Multiple Sclerosis? A Longitudinal Analysis Using Generalized Estimating Equations

Author(s) -

Shahnaz Shahrbanian,

Pierre Duquete,

Nancy E. Mayo

Publication year - 2019

Publication title -

majallah-i ̒ilmī-i dānishgāh-i ̒ulūm-i pizishkī va khadamāt-i bihdāshtī darmānī-i zanjān

Language(s) - English

Resource type - Journals

eISSN - 2322-4231

pISSN - 1606-9366

DOI - 10.30699/jambs.27.122.9

Subject(s) - multiple sclerosis , generalized estimating equation , longitudinal study , longitudinal data , medicine , physical medicine and rehabilitation , mathematics , psychiatry , statistics , computer science , pathology , data mining

Materials & Methods: The research method was a longitudinal design that evaluated pain type and severity at baseline and after 3 years of follow up among people with MS. At the beginning of the study a random sample comprising of 188 individuals with MS were recruited. From those, 78 individuals experienced pain included the study. The McGill pain questionnaire and ID-Pain questionnaire were used to assess type of pain. Numeric Rating Scale was used to measure pain severity. McNemar, Cohen’s unweighted Kappa Coefficient, Paired Student t-tests and Generalized Estimating Equations were used to analyze the data.

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