Psychometric testing of Chinese version of screening tools (PASS) and GAD among perinatal population: hospital based evidence 2023

2023年基于医院证据对围产期人群中中文版筛查工具(PASS)和GAD的心理测量学检验:

阅读:3

Abstract

BACKGROUND: Anxiety disorders are increasing worldwide, untreated anxiety is linked to maternal and child health outcomes. The purpose of this study is to test psychometric properties of the Perinatal Anxiety Screening Scale (PASS) among Chinese women. METHODS: The PASS was translated into Chinese following Beaton's intercultural debugging guide. A total of 494 women in the antenatal and postnatal phase participated ( 268 antenatal and 186 postnatal ) were recruited between March 2023 and July 2023 from two hospitals in Sichuan Province, China. The instruments included the demographic characteristics form, PASS, Edinburgh Postnatal Depression Scale (EPDS), and Generalized Anxiety Disorder-7 (GAD-7). The confirmatory factor analysis (CFA), internal consistency reliability and convergent validity were assessed. RESULTS: The mean age of the participant was 31.67 years (SD = 3.78; range from 23 to 49). The CFA showed that four-factor model of the Chinese-PASS had an excellent fit to the data ( χ2 = 1481.2477; df = 425; χ2/df = 3.485; RMSEA = 0.071; CFI = 0.871; NNFI = 0.828; TLI = 0.859; and IFI = 0.871). The Cronbach's alpha coefficient of total scale was 0.950, and the split-half reliability of total scale was 0.907. The PASS significantly correlated with EPDS (r = 0.732) and GAD-7 (r = 0.763). The area under the ROC curve for PASS scores was 0.91 (SE = 0.01; 95% CI = 0.89-0.94). At cut-off score of ≥ 19.5, the sensitivity was 0.87. The area under the ROC curve for GAD-7 scores was 0.89 (SE = 0.02; 95% CI = 0.86-0.92). At cut-off score of ≥ 3.5, the sensitivity was 0.82. CONCLUSIONS: The result of this study show that the Chinese-PASS had a reasonably adequate validity and reliability and can be used to screen for anxiety disorder among women during the perinatal period.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。