No abstract

No abstract

This study aimed to explore the properties of the Chinese version of the Anxiety Sensitivity Index– 3 (ASI-3) in a sample of military personnel. Using non-probabilistic sampling, the Chinese version of the ASI-3 was administered to 3,077 valid participants aged 16 to 36 years old (M = 22.35, SD = 3.57) from nine military units. The Depression Anxiety Stress Scales-21 (DASS-21) and The State-Trait Anxiety Inventory (STAI) were used to assess the construct validity. A one-way analysis of variance was conducted to compare the differences in the services and positions of the participants. It was found that ①The indices of confirmatory factor analysis met the standard values, which supported the hypothesis of the three-factor model of the original ASI-3; ②ASI-3 was significantly associated with DASS-21 in positive ways, which indicated the high convergent validity; on the other hand, the correlation between ASI-3 and TAI was relatively low, which indicated there was an empirical discrimination between anxiety sensitivity and trait anxiety. ③The Cronbach’s α coefficients were 0.926 for the total scale and 0.828–0.841 for the three subscales; ④At a cut-off score of 16, the sensitivity and specificity levels were 71.1% and 76.7%, respectively, where the sum of sensitivity and specificity becomes the maximum, accompanied with improvement of PPV and NPV; ⑤There were significant findings in the ASI and subscales among the five services and four positions. This study provides new evidence that the Chinese version of the Anxiety Sensitivity Index-3 has good validity and reliability and could be applied as an effective tool to assess anxiety sensitivity in military personnel. Our recommendations to researchers and practitioners are that the three factor model should be replicated across some different special forces and the items and constructs could be modified on Chinese culture.

Insomnia, anxiety, and depression commonly co-occured and were closely related. Most of the prior studies were cross-sectional, with a poor ability to infer causality. Longitudinal study was needed to classify the relationships. The present study conducted a longitudinal study of non-clinical young Chinese males to investigate whether insomnia predicted the likelihood of future anxiety and depression, and vice versa. Convenient sampling method was applied, and 288 participants was recruited from Shanghai in October 2017 with Athens Insomnia Scale (AIS), Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9). 120 of them were re-tested in June 2018. The drop-out rate was 58.33%. Correlation analyses and cross-lagged analysis showed that AIS global score was significantly positively related with scores of depression and anxiety at baseline and follow-up. Insomnia was a predictive factor of anxiety, but it can’t predict depression. In sum, insomnia may be an important cause of anxiety, while no predictive relationship was found between insomnia and depression.

No abstract