Overview

• Researchers applied dynamic Bayesian network modeling to data from about 25,000 HILDA survey participants to map causal links among social determinants and mental health.
• Physical health, loneliness, satisfaction with local community and personal finances emerged as key direct predictors of mental health problems.
• The analysis uncovered bidirectional feedback loops in which mental health issues further erode the same social and economic factors.
• Model simulations indicate that universal financial satisfaction could lower national mental illness prevalence by roughly three percentage points, eliminating nearly one-third of cases.
• Study authors recommend targeted interventions such as community engagement initiatives, physical wellbeing programs and a national job guarantee to enhance population mental health.