Frederick Anyan

My substantive areas of interest are resilience processes and outcomes for positive mental health. I have been leading the Resilience to Loneliness (RESLON) research, which is being expanded to investigate the complex interplay between biological systems, psychological and social-environmental factors in loneliness for mental and physical health outcomes. The RESLON-MPH project will use various research approaches combining intensive longitudinal data (e.g., experienced sampling methods), large-scale genetic studies (eg genome-wide association studies), and intranasal oxytocin trials. I am also involved in the research at BASE which aims to improve understanding of psychological problems and disorders, and to evaluate the effectiveness of evidence-based treatments inspired by the metacognitive control system model.

My research focuses on the application and assessment of quantitative methods in the social and behavioural sciences, covering a broad range of topics in design and data analysis, using complex methodology from both structural equations and multilevel modelling perspectives, complexity science and psychological network analysis. I try to combine these quantitative and substantive interests into a single programme of research that seeks to understand and promote adaptive psychological functioning and resilience.