Exploring apathy components and their relationship in cognitive decline: insights from a network cross-sectional study

Gespeichert in:
Bibliographische Detailangaben
Titel: Exploring apathy components and their relationship in cognitive decline: insights from a network cross-sectional study
Autoren: Sarti P., Varrasi S., Guerrera C. S., Platania G. A., Furneri G., Torre V., Boccaccio F. M., Rivi V., Tascedda S., Pirrone C., Santagati M., Blom J. M. C., Castellano S., Caraci F.
Quelle: BMC Psychol
BMC Psychology, Vol 13, Iss 1, Pp 1-16 (2025)
BMC psychology, vol. 13, no. 1, pp. 129
Verlagsinformationen: Springer Science and Business Media LLC, 2025.
Publikationsjahr: 2025
Schlagwörter: Male, Aged, 80 and over, Humans, Apathy/physiology, Female, Cognitive Dysfunction/psychology, Cognitive Dysfunction/physiopathology, Aged, Cross-Sectional Studies, Alzheimer Disease/psychology, Alzheimer Disease/physiopathology, Neuropsychological Tests, Middle Aged, Disease Progression, Alzheimer's disease, Cognition, Cognitive apathy, Dementia, Intervention strategies, MCI, Network analysis, Research, Apathy, BF1-990, Alzheimer Disease, Psychology, Cognitive Dysfunction, Network analysis Dementia Alzheimer's disease MCI Cognition Intervention strategies Cognitive apathy
Beschreibung: Background Apathy worsens with age and cognitive decline, particularly in Alzheimer’s, leading to functional and cognitive deterioration. Comprehending its broad impact is vital for customized, preventive treatments. Methods The study examined 214 adults divided in three groups—Mild Cognitive Impairment, mild Alzheimer’s, and controls—using neuropsychological tests and questionnaires, with statistical and network analysis to explore apathy’s links with other group variables related to demographics and treatment. Results Notable differences were observed among the groups' performance of administered tests. While inferential statistics failed to return a predictive model of apathy in mild Alzheimer’s, networks and cluster analyses indicate that the demographic variables analysed have different importance at different times of disease progression and that cognitive apathy is particularly prominent in AD-related decline. Conclusions Network analysis revealed insights into dementia risk differentiation, notably the impact of sex and demographic factors, beyond the scope of traditional statistics. It highlighted cognitive apathy as a key area for personalized intervention strategies more than behavioural and emotional, emphasizing the importance of short-term goals and not taking away the person's autonomy when not strictly necessary.
Publikationsart: Article
Other literature type
Dateibeschreibung: application/pdf
Sprache: English
ISSN: 2050-7283
DOI: 10.1186/s40359-024-02239-x
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39962563
https://doaj.org/article/17e8f72f31bc42a5bcd51089fe5d59f1
https://serval.unil.ch/notice/serval:BIB_E3D4295A4530
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_E3D4295A45308
https://serval.unil.ch/resource/serval:BIB_E3D4295A4530.P001/REF.pdf
https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-024-02239-x#Sec15
https://hdl.handle.net/11380/1373249
https://doi.org/10.1186/s40359-024-02239-x
https://hdl.handle.net/20.500.11769/664889
https://doi.org/10.1186/s40359-024-02239-x
Rights: CC BY
Dokumentencode: edsair.doi.dedup.....65d3302e3ed65ca4dbacfc56f282dac4
Datenbank: OpenAIRE
Beschreibung
Abstract:Background Apathy worsens with age and cognitive decline, particularly in Alzheimer’s, leading to functional and cognitive deterioration. Comprehending its broad impact is vital for customized, preventive treatments. Methods The study examined 214 adults divided in three groups—Mild Cognitive Impairment, mild Alzheimer’s, and controls—using neuropsychological tests and questionnaires, with statistical and network analysis to explore apathy’s links with other group variables related to demographics and treatment. Results Notable differences were observed among the groups' performance of administered tests. While inferential statistics failed to return a predictive model of apathy in mild Alzheimer’s, networks and cluster analyses indicate that the demographic variables analysed have different importance at different times of disease progression and that cognitive apathy is particularly prominent in AD-related decline. Conclusions Network analysis revealed insights into dementia risk differentiation, notably the impact of sex and demographic factors, beyond the scope of traditional statistics. It highlighted cognitive apathy as a key area for personalized intervention strategies more than behavioural and emotional, emphasizing the importance of short-term goals and not taking away the person's autonomy when not strictly necessary.
ISSN:20507283
DOI:10.1186/s40359-024-02239-x