The relationship of psychological factors, demographic features and disease characteristics with self-management of multiple sclerosis patients

AUTHORS

Ishaq Rahimian 1 , * , Seyed Mosa Tabatabaee 2 , Ali Taghvaei-Nia 3 , Mohammad Jabari 4

1 Assistant Professor Department of Clinical Psychology, Semnan University, Semmnan, Iran.

2 Assistant Professor Department of Psychology, Payame Noor University, Iran.

3 Assistant Professor Department of Psychology, Yasuj University, Yasuj, Iran.

4 Students of Clinical Psychology, Research and Sciences University, Semnan Branch, Semnan, Iran.

How to Cite: Rahimian I, Tabatabaee S M , Taghvaei-Nia A , Jabari M. The relationship of psychological factors, demographic features and disease characteristics with self-management of multiple sclerosis patients, Hormozgan Med J. 2016 ; 19(6):e87656.

ARTICLE INFORMATION

Hormozgan Medical Journal: 19 (6); e87656
Published Online: June 02, 2014
Article Type: Research Article
Received: February 11, 2014
Accepted: June 02, 2014

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Abstract

Introduction: Self-management is an important act of controlling the adverse outcomes in
multiple sclerosis as a chronic and debilitating disease. This study was aimed to consider the
relationship of psychological factors, demographic features and disease characteristics with
self-management behaviors and predicting it among patients with multiple sclerosis.
Methods: In the correlational study, among the patients with multiple sclerosis who
attended to the Iranian Multiple Sclerosis Association in Tehran, 193 patients were
selected by a purposeful compliance procedure. Data were gathered with The Multiple
Sclerosis Self-Management Scale, The Depression Anxiety and Stress Scales and the
Demographical/Disease Characteristics Questionnaire, then were analyzed by multiple
regression in the stepwise method by SPSS 18.
Results: Socioeconomic status and female gender had significantly positive relationship and
role in prediction of self-management behaviors in patients with multiple sclerosis and also
depression and anxiety had significantly negative relationship and role in prediction of selfmanagement
behaviors among these patients (F= (4,188)=36.61, P<0.001) and these four
factors totally were explain 43% (R2=0.43) of self-management (P<0.001). Literacy,
Marriage status, treatment type, age, disease duration and stress didn’t have a significant
role in prediction of self-management behaviors among these patients (P>0.05).
Conclusion: Depression and anxiety are important risk factors for decreased selfmanagement
among patients with multiple sclerosis. On the other hand, higher level of
literacy and female gender are important factors for increased self-management among these
patients. It is consequential, that pay attention to these factors in designing and implementing
tailored programs of self-management and self-care promotion for controlling this disease.

Keywords

Depression Demographic Characteristics Multiple Sclerosis

© 2016, Hormozgan Medical Journal. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

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