Yiqian Gong1, Huixin Zhou2, Ying Zhang2, Xinli Zhu2, Xiao Wang3, Beibei Shen2, Jing Xian4, Yan Ding5. 1. School of Nursing, Fudan University, 200032, China; Department of Obstetrics, Obstetrics & Gynaecology Hospital of Fudan University, Shanghai 200090, China. 2. Department of Obstetrics, Obstetrics & Gynaecology Hospital of Fudan University, Shanghai 200090, China. 3. Department of Obstetrics, Obstetrics & Gynaecology Hospital of Fudan University, Shanghai 200090, China; Department of Human Sperm Bank, Obstetrics & Gynaecology of Fudan University, Shanghai 200011, China. 4. Department of Psychiatry, Huangpu District Mental Health Centre, Shanghai 200003, China. 5. Department of Nursing, Obstetrics & Gynaecology Hospital of Fudan University, Shanghai 200011, China. Electronic address: ding_yan@fudan.edu.cn.
Abstract
BACKGROUND: Anxiety is common during pregnancy. The 7-item Generalized Anxiety Disorder scale (GAD-7) is a self-rating scale for detecting anxiety and has been validated in various populations, but it has not been validated in pregnant Chinese women. The objective of this study was to validate the GAD-7 as a screening tool to detect anxiety during pregnancy among Chinese women. METHODS: The GAD-7 and the anxiety subscale of the Hospital Anxiety and Depression scale (HADS-A) were administered to 140 pregnant Chinese women to evaluate the Cronbach's alpha and the criterion-related validity. Additionally, a diagnostic study (n=170) was conducted by using the Mini International Neuropsychiatric Interview (MINI) as a gold standard to examine the screening performance of the GAD-7. We calculated the sensitivity, specificity, and area under the curve (AUC) by receiver operating characteristic (ROC) analysis. RESULTS: Cronbach's alpha for the GAD-7 was 0.84. The Pearson correlation coefficient between GAD-7 and HADS-A scores was 0.66 (P<0.01). At the maximum Youden Index of 0.53, the optimal cutoff score for the GAD-7 among pregnant women was 7, and an AUC of 0.83, a sensitivity of 96.8%, and a specificity of 56.1% were obtained. LIMITATION: The majority of the participants were in the first trimester, and thus, the findings cannot be generalized to all pregnant women. CONCLUSIONS: The GAD-7 is a suitable screening instrument for detecting antenatal anxiety in mainland China. Further validation is warranted in women in different trimesters of pregnancy.
BACKGROUND:Anxiety is common during pregnancy. The 7-item Generalized Anxiety Disorder scale (GAD-7) is a self-rating scale for detecting anxiety and has been validated in various populations, but it has not been validated in pregnant Chinese women. The objective of this study was to validate the GAD-7 as a screening tool to detect anxiety during pregnancy among Chinese women. METHODS: The GAD-7 and the anxiety subscale of the Hospital Anxiety and Depression scale (HADS-A) were administered to 140 pregnant Chinese women to evaluate the Cronbach's alpha and the criterion-related validity. Additionally, a diagnostic study (n=170) was conducted by using the Mini International Neuropsychiatric Interview (MINI) as a gold standard to examine the screening performance of the GAD-7. We calculated the sensitivity, specificity, and area under the curve (AUC) by receiver operating characteristic (ROC) analysis. RESULTS: Cronbach's alpha for the GAD-7 was 0.84. The Pearson correlation coefficient between GAD-7 and HADS-A scores was 0.66 (P<0.01). At the maximum Youden Index of 0.53, the optimal cutoff score for the GAD-7 among pregnant women was 7, and an AUC of 0.83, a sensitivity of 96.8%, and a specificity of 56.1% were obtained. LIMITATION: The majority of the participants were in the first trimester, and thus, the findings cannot be generalized to all pregnant women. CONCLUSIONS: The GAD-7 is a suitable screening instrument for detecting antenatal anxiety in mainland China. Further validation is warranted in women in different trimesters of pregnancy.
Authors: Zhuang She; Dan Li; Wei Zhang; Ningning Zhou; Juzhe Xi; Kang Ju Journal: Int J Environ Res Public Health Date: 2021-08-05 Impact factor: 3.390
Authors: Karen Yirmiya; Noa Yakirevich-Amir; Heidi Preis; Amit Lotan; Shir Atzil; Inbal Reuveni Journal: Int J Environ Res Public Health Date: 2021-04-18 Impact factor: 3.390