2025
Complex temporal dynamics of mental health indicators: A longitudinal network approach perspective
ADAMKOVIC, Matúš; Benjamin SIMSA; Bibiána JOZEFIAKOVÁ; Gabriela MIKULÁŠKOVÁ; Peter BABINČÁK et al.Basic information
Original name
Complex temporal dynamics of mental health indicators: A longitudinal network approach perspective
Authors
ADAMKOVIC, Matúš; Benjamin SIMSA; Bibiána JOZEFIAKOVÁ; Gabriela MIKULÁŠKOVÁ; Peter BABINČÁK; Gabriel BANIK; Jaroslava BOČANOVÁ; Denisa FEDÁKOVÁ; Klára KAČMARIKOVÁ; Pavol KAČMÁR; Michal KENTOŠ; Viktória MAJDÁKOVÁ; Lenka VARGOVÁ; L'ubica ZIBRÍNOVA and Ivan ROPOVIK
Edition
PSYCHOLOGICAL MEDICINE, 2025, 0033-2917
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
50101 Psychology
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
is not subject to a state or trade secret
References:
Impact factor
Impact factor: 5.500 in 2024
Marked to be transferred to RIV
Yes
Organization unit
Ambis University
UT WoS
EID Scopus
Keywords in English
anxiety;depression;insomnia;longitudinal analysis;mental health;network analysis;panel networks;posttraumatic stress disorder
Tags
Changed: 10/3/2026 14:59, Ing. Kateřina Lendrová
In the original language
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.
In Czech
úzkost, deprese, nespavost, longitudinální analýza, duševní zdraví, síťová analýza, panelové sítě, posttraumatická stresová porucha