Understanding symptom profiles of depression with the PHQ-9 in a community sample using network analysis.

ABSTRACT:

Background

Depression is one of the most prevalent mental health conditions in the world. However, the heterogeneity of depression has presented obstacles for research concerning disease mechanisms, treatment indication, and personalization. The current study used network analysis to analyze and compare profiles of depressive symptoms present in community samples, considering the relationship between symptoms.

Methods

Cross-sectional measures of depression using the Patient Health Questionnaire - 9 items (PHQ-9) were collected from community samples using data from participants scoring above a clinical threshold of ≥10 points (N = 2,023; 73.9% female; mean age 49.87, SD = 17.40). Data analysis followed three steps. First, a profiling algorithm was implemented to identify all

SUBMITTER: Nunez C 

PROVIDER: S-EPMC11441345 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature