Identifying pathways between psychiatric symptoms and psychosocial functioning in the general population

Area of Science:

• Psychiatry
• Network Analysis
• Psychosocial Functioning

Background:

• Psychosocial functioning is crucial for overall well-being.
• Understanding the link between psychiatric symptoms and functioning is vital for targeted interventions.

Purpose of the Study:

• To identify pathways between psychiatric network symptoms and psychosocial functioning.
• To determine associated variables within different functioning clusters in the general population.

Main Methods:

• Cross-sectional web-based survey of 3,023 individuals in Brazil.
• Network analysis using Patient-Reported Outcomes Measurement Information System (PROMIS) for depression and anxiety.
• Decision tree model to identify characteristics of good and low functioning.

Main Results:

• Three functioning clusters were identified: good (30.63%), intermediate (47.50%), and low (21.86%).
• Anxiety and uneasy symptoms were key for good/intermediate functioning; anxiety, failure, and depression for low functioning.
• The decision tree model achieved a balanced accuracy of 0.75 for discriminating good and low functioning.

Conclusions:

• Psychological distress is strongly associated with poor functional status.
• Individuals with psychological distress warrant comprehensive psychiatric assessment and mental health care.
• Findings highlight the need for integrated mental health services to address functional impairments.