Background: To measure the severity of menopausal complaints and determine the pattern of menopausal symptoms, a valid and reliable instrument is needed in women's healthcare. The Menopause Rating Scale (MRS) is one of the best-known tools in response to the lack of standardized scales. The purpose of this study was to examine the psychometric properties of the MRS in an Iranian example. Methods: Participants were randomly selected from women referred to healthcare centers in Miandoab, West Azerbaijan, Iran. A total of 330 questionnaires were completed (response rate of 96.9%). Two samples were considered for analysis in the validation process. An exploratory factor analysis (EFA) was conducted on the first sample (n 1 = 165), and a confirmatory factor analysis (CFA) was done using a second study sample (n 2 = 165). The psychometric properties process was concluded with assessment of internal consistency and test-retest reliability. Results: The EFA with Principal Component Analysis extracted three factors explaining 75.47% cumulative variance. The CFA confirmed a three-factor structure of the 11-items MRS. All fit indices proved to be satisfactory. The relative chi-square (χ2/df) was 3.686 (p < .001). The Root Mean Square Error of Approximation (RMSEA) of the model was .04 (90% CI = .105-.150). All comparative indices of the model, including the Comparative Fit Index, Normed Fit Index, and Relative Fit Index, were more than .80 (.90, .87, and .80, respectively). For the overall scale, Cronbach's alpha was .931, whereas the alpha for the subscales ranged from 0.705-0.950. The intraclass correlation was .91 (95% CI = .89-.93), p < 0.001. Conclusion: The results of the study indicate that the Persian model of the MRS is a valid and reliable scale. As a screening tool, the Persian MRS could be used to identify the pattern of symptoms among menopausal, premenopausal, and postmenopausal women to care for and educate them on how to identify and treat the symptoms.
Background: To measure the severity of menopausal complaints and determine the pattern of menopausal symptoms, a valid and reliable instrument is needed in women’s healthcare. The Menopause Rating Scale (MRS) is one of the best-known tools in response to the lack of standardized scales. The purpose of this study was to examine the psychometric properties of the MRS in an Iranian example. Methods: Participants were randomly selected from women referred to healthcare centers in Miandoab, West Azerbaijan, Iran. A total of 330 questionnaires were completed (response rate of 96.9%). Two samples were considered for analysis in the validation process. An exploratory factor analysis (EFA) was conducted on the first sample (n1 =165), and a confirmatory factor analysis (CFA) was done using a second study sample (n2 = 165). The psychometric properties process was concluded with assessment of internal consistency and test-retest reliability. Results: The EFA with Principal Component Analysis extracted three factors explaining 75.47% cumulative variance. The CFA confirmed a three-factor structure of the 11-items MRS. All fit indices proved to be satisfactory. The relative chi-square (χ2/df) was 3.686 (p < .001). The Root Mean Square Error of Approximation (RMSEA) of the model was .04 (90% CI = .105 – .150). All comparative indices of the model, including the Comparative Fit Index, Normed Fit Index, and Relative Fit Index, were more than .80 (.90, .87, and .80, respectively). For the overall scale, Cronbach’s alpha was .931, whereas the alpha for the subscales ranged from 0.705-0.950. The intraclass correlation was .91 (95% CI = .89-.93), p < 0.001. Conclusion: The results of the study indicate that the Persian model of the MRS is a valid and reliable scale. As a screening tool, the Persian MRS could be used to identify the pattern of symptoms among menopausal, premenopausal, and postmenopausal women to care for and educate them on how to identify and treat the symptoms.
Background To measure the severity of menopausal complaints and determine the pattern of menopause symptoms, a valid and reliable instrument is needed in health care settings for women. Menopause Rating Scale (MRS) is one of the best known instruments that were invented in response to the lack of standardized scales. This study examines it’s psychometric properties in Iran. Methods Participants were randomly selected from women referring to healthcare centers in Miandoab, West Azerbaijan, Iran. A total of 330 questionnaires were completed (response rate 96.9). Two sample sizes were considered for analysis in validation process. Exploratory Factor Analysis (EFA) was conducted on the first sample (n1 = 165) and confirmatory factor analysis (CFA) was done by using a second study sample (n2 = 165). The internal consistency reliability and test-retest reliability was calculated to complete psychometric properties process. Results EFA with Principal Component Analysis (PCA) extracted three factors explaining 75.47% cumulative variance. CFA confirmed the three-factor structure of the MRS with 11-items. All fit indices proved to be good. The relative chi-square (χ2/df) was equal to 3.686 (p < .001). The RMSEA of the model was .04 (90% CI = .105–.150). All comparative indices of the model, including Comparative Fit Index (CFI), Normed Fit Index (NFI); and Relative Fit Index (RFI) were more than .80 (.90, .87, and .80, respectively). Cronbach’s alpha for the overall scale was .931 whereas the alpha for the subscales ranged from 0.705–0.950. Intra class correlation was .91 (95% CI = .89-.93), p < 0.001. Conclusion This study indicates that the Persian-MRS is a valid and reliable scale. This instrument as a screening tool could be used to identify the pattern of symptoms among menopausal, peri-menopausal, and post- menopausal women in need to care and educate them on how to deal with the symptoms.
Background: To measure the severity of menopausal complaints and determine the pattern of menopausal symptoms, a valid and reliable instrument is needed in women’s healthcare. The Menopause Rating Scale (MRS) is one of the best-known tools in response to the lack of standardized scales. The purpose of this study was to examine the psychometric properties of the MRS in an Iranian example. Methods: Participants were randomly selected from women referred to healthcare centers in Miandoab, West Azerbaijan, Iran. A total of 330 questionnaires were completed (response rate of 96.9%). Two samples were considered for analysis in the validation process. An exploratory factor analysis (EFA) was conducted on the first sample (n1 =165), and a confirmatory factor analysis (CFA) was done using a second study sample (n2 = 165). The psychometric properties process was concluded with assessment of internal consistency and test-retest reliability. Results: The EFA with Principal Component Analysis extracted three factors explaining 75.47% cumulative variance. The CFA confirmed a three-factor structure of the 11-items MRS. All fit indices proved to be satisfactory. The relative chi-square (χ2/df) was 3.686 (p < .001). The Root Mean Square Error of Approximation (RMSEA) of the model was .04 (90% CI = .105 – .150). All comparative indices of the model, including the Comparative Fit Index, Normed Fit Index, and Relative Fit Index, were more than .80 (.90, .87, and .80, respectively). For the overall scale, Cronbach’s alpha was .931, whereas the alpha for the subscales ranged from 0.705-0.950. The intraclass correlation was .91 (95% CI = .89-.93), p < 0.001. Conclusion: The results of the study indicate that the Persian model of the MRS is a valid and reliable scale. As a screening tool, the Persian MRS could be used to identify the pattern of symptoms among menopausal, premenopausal, and postmenopausal women to care for and educate them on how to identify and treat the symptoms.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.