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Predictive factors for the development of depression in children and adolescents

A clinical study

Bibliographic Data

ID15529595
AuthorsHong Zhang (0000-0003-2057-8427, Xuzhou Medical College), Peilin Yu (0000-0002-8230-4061, Xuzhou Medical College), Xiaoming Liu (0000-0001-7904-1056, Xuzhou Medical College, corresponding author), Ke Wang (0000-0002-4808-2637, Xuzhou Medical College, corresponding author)
Year2024
Volume15
Pages1460801-1460801
Publication date2024-10-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2024.1460801
PMID39469472
OpenAlexW4403376695
LanguageEN
References cited50

Validated nomogram can accurately predict the risk of depression in children and adolescents, providing clues for clinical practitioners to develop targeted interventions and support

Depression (economics · Logistic regression · Multivariate statistics · Nomogram · Psychiatry · Psychological intervention · Receiver operating characteristic · Statistics · Stepwise regression · Univariate · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · COVID-19 and Mental Health · Digital Mental Health Interventions · Medicine · Psychology · Internal Medicine

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Citation velocityhistorical
Highly citedNo

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