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The psychometric properties of the Persian menopause rating scale.


ABSTRACT: 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 (?2/df) was 3.686 (p?

SUBMITTER: Jahangiry L 

PROVIDER: S-EPMC7424665 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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The psychometric properties of the Persian menopause rating scale.

Jahangiry Leila L   Parviz Robabeh R   Mirghafourvand Mojgan M   Khazaee-Pool Maryam M   Ponnet Koen K  

BMC women's health 20200812 1


<h4>Background</h4>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.<h4>Methods</h4>Participants were randomly selected from women referred to healthcare centers in Miando  ...[more]

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