Skip to main content Accessibility help
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • Complex temporal dynamics of mental health indicators: A longitudinal network approach perspective

  • Matúš Adamkovič, Benjamin Simsa, Bibiána Jozefiaková, Gabriela Mikulášková, Peter Babinčák, Gabriel Baník, Jaroslava Bočanová, Denisa Fedáková, Klára Kačmariková, Pavol Kačmár, Michal Kentoš, Viktória Majdáková, Lenka Vargová, Ľubica Zibrínová, Ivan Ropovik
  • Journal:
    Psychological Medicine / Volume 55 / 2025
    Published online by Cambridge University Press:
    03 October 2025, e295
    • Article
      • You have access
      • Open access
    • PDF
    • HTML
    • Export citation
  • Background

    Although mental disorders have long been considered complex dynamic systems, our understanding of the mutual interactions and temporal patterns of their symptoms remains limited.

    Methods

    In this longitudinal study, we examined the structure and dynamics of four key mental health indicators – depression, anxiety, post-traumatic stress disorder, and insomnia – in a representative sample of the Slovak population (effective N = 3,874) over 10 waves spanning 3.5 years. For each construct, a longitudinal panel network model was estimated.

    Results

    The temporal relationships between symptoms were mostly weak, with the autoregressive effects typically being stronger. In depression, anxiety, and insomnia, some causal chains and feedback loops were identified. In all constructs, both contemporaneous and between-person networks showed dense connections.

    Conclusions

    The findings provide critical insights into the complexity of mental health development, offering potential targets for intervention and prevention strategies.