Taḥqīqāt-i ̒Ulūm-i Raftārī (Aug 2021)

Modeling Multiple Sclerosis Based on Sensory Processing Sensitivity by Mediation of Risk Full Decision Making

  • Farzaneh Bayat,
  • Zeynab Khanjani,
  • Jalil Babapour,
  • Abbas Bakhshipour Roudsari

Journal volume & issue
Vol. 19, no. 2
pp. 317 – 327

Abstract

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Aim and Background: Multiple sclerosis (MS) is a chronic inflammatory disease characterized by demyelinated lesions in the brain, spinal cord, and optic nerve. When myelin is destroyed by plaque formation, nerve fiber conduction is reduced or lost. This phenomenon interrupts the nerve messages sent from the brain and causes the symptoms of the disease. This disease leads to dysfunction of cognitive functions. The main purpose of this study was to investigate the relationship between sensory processing sensitivity on multiple sclerosis mediated by risk decision making function. Methods and Materials: The research method is descriptive correlation of structural equation management. The statistical population of the study was all patients with multiple sclerosis referred to the Iranian MS Association, from which 200 people were selected by non-random sampling method with inclusion and exclusion criteria. In order to evaluate the level of sensory processing sensitivity in patients from personal scales with high sensory processing sensitivity, Aaron and Aron (1997) and in order to assess the level of risky decision making and severity of multiple sclerosis in patients, respectively used the IOWA gambling test Damasio, Bashara, Damasio, Anderson (1994), Extensive Disability Status Scale Kurtzke (1983). Findings: The analysis showed that there were significant correlations between and sensory processing sensitivity with multiple sclerosis and risk full decision making. According to the results of the mediation؛ the effect of sensory processing sensitivity on the multiple sclerosis, was moderated by the risk full decision making (p>0.001). Conclusions: As a result of structural equation sensory processing sensitivity risk full decision making, and multiple sclerosis according to indicators of fitness is good.

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