Network analysis of depressive symptoms in Hong Kong residents during the COVID-19 pandemic.

ABSTRACT: In network theory depression is conceptualized as a complex network of individual symptoms that influence each other, and central symptoms in the network have the greatest impact on other symptoms. Clinical features of depression are largely determined by sociocultural context. No previous study examined the network structure of depressive symptoms in Hong Kong residents. The aim of this study was to characterize the depressive symptom network structure in a community adult sample in Hong Kong during the COVID-19 pandemic. A total of 11,072 participants were recruited between 24 March and 20 April 2020. Depressive symptoms were measured using the Patient Health Questionnaire-9. The network structure of depressive symptoms was characterized, and indices of "strength", "betweenness", and "cl

SUBMITTER: Cheung T 

PROVIDER: S-EPMC8419676 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature