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Research article
Leila Jahangiry
Tabriz University of Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0491-5764
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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.
Keywords
Menopause Rating Scale, health related quality of life, psychometric properties, validity, reliability
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View the published article at BMC Women's Health.
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On 20 Jul, 2020
Editorial decision: Accept
On 20 Jul, 2020
Version 2
Posted 13 Jun, 2020
No comments provided
Review #1 received
Received 08 Jul, 2020
Reviewer #3 agreed
On 03 Jul, 2020
Reviewer #2 agreed
On 30 Jun, 2020
Review #2 received
Received 30 Jun, 2020
Reviewers invited
Invitations sent on 28 Jun, 2020
Reviewer #1 agreed
On 28 Jun, 2020
Editor assigned
On 09 Jun, 2020
Submission checks complete
On 08 Jun, 2020
Editor invited
On 08 Jun, 2020
No comments provided
Editorial decision: Minor revision
On 04 Jun, 2020
Review #4 received
Received 17 May, 2020
Review #6 received
Received 17 May, 2020
Reviewer #6 agreed
On 16 May, 2020
Reviewer #5 agreed
On 10 May, 2020
Reviewer #3 agreed
On 07 May, 2020
Reviewer #4 agreed
On 07 May, 2020
Review #3 received
Received 07 May, 2020
Review #1 received
Received 06 May, 2020
Reviewer #2 agreed
On 06 May, 2020
Review #2 received
Received 06 May, 2020
Reviewer #1 agreed
On 04 May, 2020
Reviewers invited
Invitations sent on 04 May, 2020
Editor assigned
On 15 Apr, 2020
Submission checks complete
On 14 Apr, 2020
Editor invited
On 14 Apr, 2020
First submitted
On 12 Apr, 2020
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A new preprint design is coming!
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See the published version of this preprint at BMC Women's Health.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Leila Jahangiry
Tabriz University of Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0491-5764
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Women's Health.
No community comments so far
Submission checks complete
On 20 Jul, 2020
Editorial decision: Accept
On 20 Jul, 2020
Version 2
Posted 13 Jun, 2020
No comments provided
Review #1 received
Received 08 Jul, 2020
Reviewer #3 agreed
On 03 Jul, 2020
Reviewer #2 agreed
On 30 Jun, 2020
Review #2 received
Received 30 Jun, 2020
Reviewers invited
Invitations sent on 28 Jun, 2020
Reviewer #1 agreed
On 28 Jun, 2020
Editor assigned
On 09 Jun, 2020
Submission checks complete
On 08 Jun, 2020
Editor invited
On 08 Jun, 2020
No comments provided
Editorial decision: Minor revision
On 04 Jun, 2020
Review #4 received
Received 17 May, 2020
Review #6 received
Received 17 May, 2020
Reviewer #6 agreed
On 16 May, 2020
Reviewer #5 agreed
On 10 May, 2020
Reviewer #3 agreed
On 07 May, 2020
Reviewer #4 agreed
On 07 May, 2020
Review #3 received
Received 07 May, 2020
Review #1 received
Received 06 May, 2020
Reviewer #2 agreed
On 06 May, 2020
Review #2 received
Received 06 May, 2020
Reviewer #1 agreed
On 04 May, 2020
Reviewers invited
Invitations sent on 04 May, 2020
Editor assigned
On 15 Apr, 2020
Submission checks complete
On 14 Apr, 2020
Editor invited
On 14 Apr, 2020
First submitted
On 12 Apr, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Women's Health.
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.
Figure 1
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