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We used the Geriatric Depression Scale to investigate the depression status of empty nesters living in eastern rural China (N = 967). The results showed that more than half of the participants suffered relatively severe depression and that their mental health was not favorable. Gender,
age, level of education, and marital status had a significant influence on depression status. The degree of depression of men was lower than that of women. As participants' age increased, the degree of depression first rose until the age of 84 and then fell thereafter. The depression
of unmarried empty nesters was relatively severe compared to that of married ones. Finally, a higher level of education corresponded with a lower degree of depression. There are varied factors affecting the psychological status of empty nesters in China. To improve their mental state, the
government, society, and family need to collaborate and take comprehensive measures.

We analyzed depression in Chinese civil servants, using the Hamilton Depression Rating Scale (HAMD) and a survey completed by people employed by the Civil Service in 6 cities in eastern China. The results showed that the HAMD is a valid and effective measure for assessing depression
in Chinese civil servants. As we had assumed, Chinese civil servants manifested a strong sense of despair, which was consistent between the genders. In general, however, depression had a greater impact on female than on male civil servants. In the linear regression model with demographic variables
as independent variables, we found that gender, education level, and marital status were significant predictive factors of depression, but income and age were not. We suggest that although civil servants may enjoy a more lucrative job and a better material lifestyle compared to other people
in China, the issue of their mental health merits attention.

We explored the factor structure of the Beck Anxiety Inventory (BAI) with a sample of 523 people aged 21–44 years from 4 counties and districts in the city of Ya'an, China, who had survived the 2013 earthquake there. Exploratory factor analysis was used to identify the potential
factor structure of the BAI and confirmatory factor analysis was used to evaluate the goodness of fit of the factor structure model. The results indicated that the BAI had satisfactory reliability and validity but that the factor structure was unstable; therefore, it was difficult to name
the 4 extracted factors. However, in general, our results showed that the BAI is an appropriate instrument to use for detecting the anxiety level of earthquake survivors in China.

We examined the factor structure of the Beck Anxiety Inventory (BAI) with 531 students at 6 universities in Nanjing to evaluate its applicability as a measure of the anxiety of Chinese postgraduates. We performed exploratory factor analysis to identify the potential factor structure
of the BAI. We referred to confirmatory factor analysis models from previous studies for model fit. All 7 competing models fitted well with the students' data. The 4-factor structure proposed by Wetherell and Areán yielded the best fit. Results indicate that the BAI has satisfactory
reliability and validity among Chinese postgraduates.