Cognitive decline and the evolution of depression networks in older adults

Evidence from the CHARLS study

Bibliographic Data

ID15375700
AuthorsJingyi Wang (0000-0002-3036-5006, Chinese People's Armed Police General Hospital, corresponding author), Lei Yang (0000-0002-8956-6478, Air Force Institute of Aviation Medicine Affiliated Hospital, corresponding author), Yu Zhou (0009-0001-5712-6902), Kuo Zhang (0000-0002-9959-7702, Qingdao University of Science and Technology, corresponding author)
Year2025
Volume25
Issue1
Pages3900-3900
Publication date2025-11-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-025-25187-6
PMID41219841
OpenAlexW4416119590
LanguageEN
References cited63

This study reveals significant heterogeneity in cognitive decline patterns among Chinese middle-aged and older adults, with the majority (50.9%) following a high-baseline but steep-declining trajectory. The complex relationship between cognitive decline and depressive symptoms varies substantially across different cognitive trajectory subgroups, suggesting the need for personalized intervention strategies. The findings highlight the importance of early identification of high-risk cognitive decline patterns and the implementation of targeted mental health interventions. These results provide new insights into the dynamic interplay between cognitive aging and mental health, informing the development of precision medicine approaches for healthy aging

Biostatistics · Cognition · Cognitive aging · Cognitive decline · Depression (economics · Depressive symptoms · Longitudinal study · Mental health · Dementia and Cognitive Impairment Research · Functional Brain Connectivity Studies · Mental Health Research Topics

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