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. 2018 Feb 3;16(2):e12400.
doi: 10.5812/ijem.12400. eCollection 2018 Apr.

The Polycystic Ovary Syndrome Health-Related Quality-of-Life Questionnaire: Confirmatory Factor Analysis

Fatemeh Nasiri-Amiri  1 , Fahimeh Ramezani Tehrani  2 , Masoumeh Simbar  3 , Ali Montazeri  4 , Reza Ali Mohammadpour  5
Affiliations

The Polycystic Ovary Syndrome Health-Related Quality-of-Life Questionnaire: Confirmatory Factor Analysis

Fatemeh Nasiri-Amiri et al. Int J Endocrinol Metab. .

Abstract

Background: The health related quality-of-life (HRQoL) among females with polycystic ovary syndrome (PCOS) is reduced due to emotional, psychosocial, infertility, marital, and hirsutism problems.

Objectives: The current study aimed at analyzing exploratory and confirmatory factor structures of HRQoL questionnaire for polycystic ovary syndrome (PCOSQ-50) in females with PCOS in order to verify the validity of the developed instrument.

Methods: The current cross validation study was conducted on females with PCOS using the PCOSQ-50. The PCOSQ-50 was developed based on a qualitative study. The exploratory factor analysis (EFA) and the confirmatory factor analysis (CFA) were conducted to examine the factor structure of PCOSQ-50. After the CFA, the reliability of the new instrument was also evaluated using Cronbach's alpha coefficient.

Results: Totally, 350 females with PCOS were entered into the study. The mean age of the subjects was 26.9 ± 5.1 years. Based on the results of CFA, data were fit to the 43-item model: the comparative fit index (CFI) = 0.91; the normal fit index (NFI) = 0.90; the goodness of fit index (GFI) = 0.60; incremental fit index (IFI) = 0.91; the root mean square error of approximation (RMSEA) = 0.09; standardized root mean square residual (SRMR) = 0.09 and the relative chi-square (x2/df) = 2.20, P < 0.05. The intraclass correlation coefficient ranged 0.91 to 0.94 indicating a satisfactory finding.

Conclusion: The 43-item PCOSQ showed appropriate validity and reliability and its psychometric quality was superior to that of the original version. However, further longitudinal studies should be conducted to evaluate its predictive efficacy.

Keywords: Factor Analysis; Polycystic Ovary Syndrome; Quality-of-Life; Reproductive Health.

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Conflict of interest statement

Conflict of Interest:The authors declared that no conflict of interest.

Figures

Figure 1.
Figure 1.. Confirmatory Factor Analysis of PCOSQ-43
RMSEA, Root Mean Square Error of Approximation.
See this image and copyright information in PMC

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References

    1. Azziz R, Woods KS, Reyna R, Key TJ, Knochenhauer ES, Yildiz BO. The prevalence and features of the polycystic ovary syndrome in an unselected population. J Clin Endocrinol Metab. 2004;89(6):2745–9. doi: 10.1210/jc.2003-032046. - DOI - PubMed
    1. March WA, Moore VM, Willson KJ, Phillips DI, Norman RJ, Davies MJ. The prevalence of polycystic ovary syndrome in a community sample assessed under contrasting diagnostic criteria. Hum Reprod. 2010;25(2):544–51. doi: 10.1093/humrep/dep399. - DOI - PubMed
    1. Azziz R. Controversy in clinical endocrinology: diagnosis of polycystic ovarian syndrome: the Rotterdam criteria are premature. J Clin Endocrinol Metab. 2006;91(3):781–5. doi: 10.1210/jc.2005-2153. - DOI - PubMed
    1. Tehrani FR, Simbar M, Tohidi M, Hosseinpanah F, Azizi F. The prevalence of polycystic ovary syndrome in a community sample of Iranian population: Iranian PCOS prevalence study. Reprod Biol Endocrinol. 2011;9:39. doi: 10.1186/1477-7827-9-39. - DOI - PMC - PubMed
    1. Fauser BC, Tarlatzis BC, Rebar RW, Legro RS, Balen AH, Lobo R, et al. Consensus on women's health aspects of polycystic ovary syndrome (PCOS): the Amsterdam ESHRE/ASRM-Sponsored 3rd PCOS Consensus Workshop Group. Fertil Steril. 2012;97(1):28–38 e25. doi: 10.1016/j.fertnstert.2011.09.024. - DOI - PubMed

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