PURPOSE: To determine the validity and reliability of the Persian version of the Modified Fatigue Impact Scale (MFIS) questionnaire for Iranian patients with multiple sclerosis (MS). METHOD: One hundred and twenty patients with MS and 75 age-matched healthy controls were enrolled. Participants were asked to answer the valid and reliable Persian version of the Beck depression inventory (BDI), Fatigue Severity Scale (FSS) and translated MFIS questionnaires. Twenty cases filed the questionnaire two weeks later to assess reliability. The intra-class correlation coefficient (ICC), Cronbach's alpha and multiple regression analysis were used. RESULTS: The total MFIS score and subscale scores differed significantly between the patients with MS and the healthy controls. The ICCs and Cronbach's alpha values were also outstandingly high. There was a significant correlation between the FSS and MFIS scores in patients (r = 0.69, p < 0.001). Also, a significant correlation was investigated between the scores of the BDI and the MFIS (r = 0.68, p < 0.001). Multiple linear regression analysis between the MFIS as a dependent variable and Expanded Disability Status Scale (EDSS), BDI and disease duration as independent variables showed that the BDI and EDSS are dependent predictors of the MFIS. CONCLUSION: The results of this study indicate that the Persian version of MFIS can be regarded as a valid and reliable scale for assessing fatigue in Iranian patients with MS. IMPLICATIONS FOR REHABILITATION: Fatigue is one of the most common, disabling and troublesome complaints of individuals with MS. Different factors such as depression and physical disability are considered to play an important role in MS-related fatigue. Fatigue evaluation by means of a valid and reliable instrument is important in individuals with MS. Persian version of MFIS provides a valid and reliable instrument for fatigue evaluation.
PURPOSE: To determine the validity and reliability of the Persian version of the Modified Fatigue Impact Scale (MFIS) questionnaire for Iranian patients with multiple sclerosis (MS). METHOD: One hundred and twenty patients with MS and 75 age-matched healthy controls were enrolled. Participants were asked to answer the valid and reliable Persian version of the Beck depression inventory (BDI), Fatigue Severity Scale (FSS) and translated MFIS questionnaires. Twenty cases filed the questionnaire two weeks later to assess reliability. The intra-class correlation coefficient (ICC), Cronbach's alpha and multiple regression analysis were used. RESULTS: The total MFIS score and subscale scores differed significantly between the patients with MS and the healthy controls. The ICCs and Cronbach's alpha values were also outstandingly high. There was a significant correlation between the FSS and MFIS scores in patients (r = 0.69, p < 0.001). Also, a significant correlation was investigated between the scores of the BDI and the MFIS (r = 0.68, p < 0.001). Multiple linear regression analysis between the MFIS as a dependent variable and Expanded Disability Status Scale (EDSS), BDI and disease duration as independent variables showed that the BDI and EDSS are dependent predictors of the MFIS. CONCLUSION: The results of this study indicate that the Persian version of MFIS can be regarded as a valid and reliable scale for assessing fatigue in Iranian patients with MS. IMPLICATIONS FOR REHABILITATION: Fatigue is one of the most common, disabling and troublesome complaints of individuals with MS. Different factors such as depression and physical disability are considered to play an important role in MS-related fatigue. Fatigue evaluation by means of a valid and reliable instrument is important in individuals with MS. Persian version of MFIS provides a valid and reliable instrument for fatigue evaluation.
Authors: Amirreza Azimi; Mahsa Ghajarzadeh; Mohammad Ali Sahraian; Mehdi Mohammadifar; Bita Roostaei; Sara Mohammad Vali Samani; Hamid Reza Farhadi Shabestari; Sara Hanaei Journal: Maedica (Buchar) Date: 2019-12
Authors: Amirreza Azimi; Sara Hanaei; Mohammad Ali Sahraian; Mehdi Mohammadifar; Sreeram V Ramagopalan; Mahsa Ghajarzadeh Journal: Maedica (Buchar) Date: 2019-12
Authors: Payam Sarraf; Sepeher Azizi; Abdorreza Naser Moghaddasi; Mohammad Ali Sahraian; Abbas Tafakhori; Mahsa Ghajarzadeh Journal: Int J Prev Med Date: 2014-12
Authors: Amirreza Azimi; Sara Hanaei; Mohammad Ali Sahraian; Mehdi Mohammadifar; Sreeram V Ramagopalan; Mahsa Ghajarzadeh Journal: BMC Neurol Date: 2019-11-14 Impact factor: 2.474
Authors: Mahsa Ghajarzadeh; Sepehr Azizi; Abdorreza Naser Moghadasi; Mohammad Ali Sahraian; Amirreza Azimi; Mehdi Mohammadifar; Amirhossein Mohammadian Bajgiran Journal: Int J Prev Med Date: 2016-01-22