Study on the depression and anxiety status and its influencing factors of chronic hepatitis B cases in Tianjin / 公共卫生与预防医学

ABSTRACT

Objective To understand the status of depression and anxiety in patients with chronic hepatitis B in Tianjin, and to analyze its influencing factors, so as to provide references for scientific psychological intervention and health education. Methods Chronic hepatitis B cases whose addresses were Tianjin were randomly selected from the report of infectious disease surveillance system from January 2018 to December 2019 as the study subjects. A certain number of healthy people living in Tianjin were selected as the control. A unified mental health questionnaire survey was conducted by telephone follow-up or face-to-face survey. The distribution characteristics of depression and anxiety were described, and influencing factors of depression and anxiety were analyzed by univariate and multivariate logistic regression analysis. Results A total of 825 cases of chronic hepatitis B and 376 cases of healthy people were investigated. The crude SDS and SAS were (35.47±9.34) and (32.33±8.26), respectively, which were higher than those of healthy people ( P <0.05). The rates of depression and anxiety in chronic hepatitis B patients were 25.45% and 20.61%, respectively, which were significantly higher than those in healthy people (15.96% and 11.70%, respectively) (P < 0.001). The analysis of depression influencing factors showed that the OR of high average monthly income was 0.791 ( 95% CI：0.655～0.955 ), the OR of not knowing correct preventive measures was 1.509 (95% CI：1.084～2.102 ), and the OR of feeling discriminated was 1.650 ( 95% CI：1.166～2.335 ). The multifactor analysis of anxiety influencing factors showed that the OR of not knowing correct preventive measures was 1.490 ( 95% CI1.049～2.117)), while the OR of feeling discriminated was 1.854 ( 95% CI 1.289～2.666). Conclusion The levels of depression and anxiety of chronic hepatitis B patients were higher than that of general healthy people. Not knowing correct preventive measures and feeling discriminated in daily life were risk factors while high income was a protective factor.