Life Satisfaction, Anxiety, Stress, Depression, and Resilience: A Multigroup Latent Class Analysis

This study explores the complex interconnections between life satisfaction, anxiety, stress, depression, and resilience using a person-centered multigroup latent class analysis (MGLCA). The research aims to identify distinct psychological profiles within the population and examine the influence of educational level and gender on these profiles. The study recruited 1,110 Greek adults aged 18 to 80 through an online survey facilitated by undergraduate psychology students. Participants completed measures including the Satisfaction with Life Scale (SWLS), Brief Resilience Scale (BRS), and the Depression Anxiety Stress Scale (DASS-9). Data were analyzed using MGLCA to identify latent classes and assess the impact of educational level and gender. Five latent classes were identified, each representing unique combinations of life satisfaction, resilience, and levels of anxiety, stress, and depression. Educational level did not significantly influence class membership, while gender had a notable impact. Males were more likely to belong to classes characterized by low life satisfaction and moderate resilience or high life satisfaction and resilience but with varied levels of psychological distress. The findings highlight the multifaceted nature of psychological well-being and the importance of considering gender-specific factors in mental health interventions. The educational level alone does not account for variations in psychological profiles, suggesting the need for tailored approaches considering personality traits and social support systems. This study contributes valuable insights for developing more effective, person-centered mental health strategies and policies.