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PURPOSE: Literature on antipsychotic medication adherence in early psychosis primarily assessed adherence behaviors and focused on young patients. There is a paucity of research investigating negative medication attitude and its determinants in the early illness course, particularly in older-aged sample. We aimed to examine prevalence and correlates of medication non-adherence behaviors and negative medication attitudes separately in adult patients with early psychosis. METHODS: One hundred ninety-nine Chinese early psychosis patients aged 26-55 years who had received three-year treatment for first psychotic episode in Hong Kong were examined. Assessments encompassing socio-demographics, premorbid adjustment, clinical and treatment profiles, self-stigma and therapeutic alliance were conducted. Patients were evaluated with Medication Compliance Questionnaire, which is a modified Chinese-translated version of Medication Adherence Rating Scale and includes items measuring adherence behaviors and attitudes towards medications. RESULTS: Rates of medication non-adherence and negative attitude towards medications were 38.7% and 50.8%, respectively. Multivariate regression analysis showed that more severe positive symptoms, greater self-stigma and negative medication attitude were independently associated with medication non-adherence. Negative attitude towards medications was significantly associated with younger age, higher educational attainment, diagnosis of other psychotic disorders, poorer insight, greater self-stigma and less satisfaction with communication with healthcare staff, which represented an index reflecting suboptimal therapeutic alliance. CONCLUSION: Antipsychotic non-adherence and negative medication attitudes are frequently observed in adult early psychosis patients. Our findings indicate that poor insight, elevated self-stigma and suboptimal therapeutic alliance may constitute potential treatment targets for promoting medication adherence and rectifying negative medication attitudes in the early illness stage.
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Introduction: Previous coronavirus, 2019 (COVID-19) research has applied network analysis to examine relationships between psychopathological symptoms but rarely extended to potential risk and protective factors or the influence of COVID-19 infection history. This study examined complex inter-relationships between psychopathological symptoms, COVID-19-related stressors, perceived social support, and COVID-19 infection history among Chinese university/college students during the peak of fifth pandemic wave using a network analysis approach. Methods: A Least Absolute Shrinkage and Selection Operator-regularized partial correlation network using Gaussian graphical model was constructed in 1,395 Chinese university/college students in Hong Kong who completed a survey between 15 March and 3 April, 2022. Depressive, anxiety, and acute/traumatic stress symptoms were measured by Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Impact of Event Scale-6, respectively. COVID-19-related stressors and perceived social support were measured. Network differences by COVID-19 infection history (COVID-network vs. no_COVID-network) and network communities were examined. Results: Our results showed that the most influential nodes were depressed mood, uncontrollable worries, and uncontrollable thoughts about COVID-19. The main bridging symptoms were concentration problems and psychomotor problems. The COVID-network, comprising participants with a history of COVID-19 infection only, was significantly stronger than the no_COVID-network. Perceived social support and stress from conflicts with family/friends formed a unique community with negative cognition and suicidal idea in the COVID-network only. Conclusion: Our findings indicate that specific interventions targeting interpersonal conflicts and concentration problems as well as facilitating stress buffering effects of social support may represent effective strategies to reduce psychological distress in university/college students during COVID-19 and should be considered for future pandemic preparedness.