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Research article
Leila Jahangiry
Tabriz University of Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0491-5764
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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.
Keywords
Menopause Rating Scale, health related quality of life, psychometric properties, validity, reliability
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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
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
Version 1
Posted 01 May, 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
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PDF Downloads: ...
HTML Views: ...
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
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
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
Version 1
Posted 01 May, 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 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.
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