Risk factors associated with depression and anxiety among the Chinese general population after retracting the dynamic zero-COVID policy: A network analysis.

BACKGROUND: Recent studies have evidenced the negative psychological consequences of the COVID-19 pandemic and sociodemographic vulnerability among the general population, while limited information was available on which factors make the greatest contribution to psychological distress when these factors were considered concurrently. Herein, we aimed to investigate the pathways that underlie psychological distress in the context of retracting dynamic zero-COVID policy. METHODS: We employed the mixed graphical model to construct the network of depression (PHQ-9), anxiety (GAD-7), and pandemic-related factors in a general population sample (N = 1610). Then, we re-examined the network by adding sociodemographic variables to further explore the influence of sociodemographic factors. Additionally, we repeated the analyses in the second sample (N = 620) collected in the same period to assess the replicability. RESULTS: The relationships between the pandemic factors and anxiety and depressive symptoms exhibited a tendency to decrease after adding demographic variables, and income became the most important node and shared edge weights with all anxiety and depressive symptoms. These findings were replicable with the second sample. No significant difference in the network properties was detected between the two samples. LIMITATIONS: The cross-sectional design limits the ability to observe longitudinal changes in these risk factors and their relationship with psychological distress. CONCLUSIONS: Income level, rather than the pandemic-related factors, acted as a vital role in the psychological distress of the general population, implying that livelihood issues may be the critical intervention targets for mental health during the post-pandemic period.

Relationships between attitudes toward mental problems, doctor-patient relationships, and depression/anxiety levels in medical workers: A network analysis. / åŒ»åŠ¡äººå‘˜çœ‹å¾ ç²¾ç¥žç–¾ç— æ€åº¦ä¸ŽåŒ»æ‚£å ³ç³»å’ŒæŠ‘éƒç„¦è™‘æ°´å¹³å ³ç³»çš„ç½‘ç»œåˆ†æž.

OBJECTIVES: At present, the doctor-patient relationship is tense. The prevalence of negative emotions, such as depression and anxiety, among healthcare workers is increasing every year. Negative attitudes of medical workers toward mental problems may aggravate the doctor-patient conflict and psychological problems of medical workers. This study aims to explore the complex network relationships between outpatient medical workers' attitudes toward mental problems, doctor-patient relationships, and their depression/anxiety levels. METHODS: A total of 578 outpatient medical staff from the Second Xiangya Hospital of Central South University (167 males, 411 females) completed questionnaires on their attitudes toward mental problems, doctor-patient relationships, and depression/anxiety symptoms. Network analysis was conducted separately to construct the "attitude towards mental problems-doctor-patient relationship network" and "depression-anxiety related network". RESULTS: The edge between "M15 (insulting words)" and "D8 (waste time)" showed the strongest strength in the "attitude towards mental problems-doctor-patient relationship network", and "M15 (insulting words)" had the highest bridge strength in the network. For the analysis of emotional variables, "P1 (anhedonia)" showed the most obvious association with "D10 (communication difficulties)" in the doctor-patient relationship and "M2 (poor quality of life)" in the psychiatric attitudes, and "P1 (anhedonia)" was the key bridge symptom in the network. CONCLUSIONS: The "insulting words" may be an intervention target for medical workers' attitudes toward mental problems. The "anhedonia" in depression is the potential symptom that needs to be treated. Intervention targeting these variables may be beneficial to improve the mental health level of medical workers and the doctor-patient relationship.