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Observational Study
. 2016 Apr 28;11(4):e0154343.
doi: 10.1371/journal.pone.0154343. eCollection 2016.

Validation of Chinese Version of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (Chi-PCOSQ)

Affiliations
Observational Study

Validation of Chinese Version of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (Chi-PCOSQ)

Chung-Ying Lin et al. PLoS One. .

Abstract

Objectives: To evaluate the responsiveness, longitudinal validity, and measurement invariance of the Chinese version of the Polycystic Ovary Syndrome Health-related Quality of Life Questionnaire (Chi-PCOSQ).

Research design and method: This prospective study was conducted in a medical center in southern Taiwan. 102 women aged 18-45 years and diagnosed with PCOS were enrolled. Objective indicators for clinical changes of PCOS included assessing the 2-hour glucose and insulin levels before and after treatment. The responsiveness of Chi-PCOSQ and WHOQOL-BREF was analyzed using paired t-tests and the standard response mean. Confirmatory factor analysis was performed to assess the measurement invariance of Chi-PCOSQ.

Results: With improved 2-hour glucose and insulin levels, we also found significantly increased Chi-PCOSQ total and individual domain scores (total score: t (49) = 5.20; p < 0.001, domain scores: t (49) = 2.72 to 3.87; p < 0.01), except for hair growth. Half of the domains scores (3 of 6) and the total score of Chi-PCOSQ had a medium responsiveness, but WHOQOL-BREF was not sufficiently responsive to clinical changes of PCOS. Improved PCOS-specific health-related quality of life (HRQoL), as indicated by Chi-PCOSQ scores, was significantly associated with improved 2-hour glucose and insulin levels. All indices of the data-model fit of the Chi-PCOSQ structure were satisfactory, except for the slightly high standardized root mean square residual values (0.087 to 0.088). The measurement invariance of Chi-PCOSQ was supported across time.

Conclusion: Chi-PCOSQ is sufficiently sensitive in detecting clinical changes and its measurement structure is suitable for Chinese women with PCOS. It is thus a promising tool for assessing the HRQoL of ethnic Chinese women with PCOS.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Priori structure for Chi-PCOSQ.
Fig 2
Fig 2. CFA Model 1 for Chi-PCOSQ.

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