Evidence map›Paper›PMID 41388388›Full record

ArticleBMC psychiatry2025

Dysfunctional attitude and childhood maltreatment predict future recurrence among young adults with first-onset depression: a prospective cohort study.

Hao Hou, Yijing Yu, Lijun Kang, Fan Wang, Wanling Zhang, Simeng Ma, Can Yang, Huijing Zou, Xiao Qin Wang, Dan Luo and 1 more

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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Hao Hou *Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Yijing Yu *Center for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University, Wuhan, China.
Lijun Kang *Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Fan WangCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University, Wuhan, China.
Wanling ZhangCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University, Wuhan, China.
Simeng MaDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Can YangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Huijing ZouCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University, Wuhan, China.
Xiao Qin WangCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University, Wuhan, China.
Dan LuoCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University, Wuhan, China. luodan@whu.edu.cn.
Bing Xiang YangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China. 00009312@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe high prevalence of recurrent depressive episodes (RDE) among patients with major depressive disorder (MDD) has resulted in substantial personal, societal, and financial burdens. Although many studies have explored the factors associated with RDE, most have important methodological limitations. This study aims to examine the factors associated with RDE within two years among young adults with first-episode MDD.

methodA total of 324 patients aged 18 to 30 years with a first episode of MDD completed both the baseline assessment and the two-year follow-up. Personal, psychosocial, and illness-related variables were assessed at baseline. The status of RDE and medication use were evaluated at follow-up. Network analysis and logistic regression were performed to examine variables associated with RDE.

resultsThe two-year prevalence of RDE among patients with first-episode MDD was 42.28%. The network comparison test indicated no significant differences in network structure or global strength between the recurrence and non-recurrence groups. The edge difference test identified 19 significant differences between the two networks; however, none remained significant after FDR correction. Both network analysis and logistic regression showed that RDE was associated with medication use, followed by the 'vulnerability' subscale of dysfunctional attitudes and childhood emotional abuse.

conclusionsThese findings suggest that dysfunctional attitudes, childhood emotional abuse, and medication use may have potential value in understanding the RDE.

Indexed as

Adult Survivors of Child AbuseAttitudeChild AbuseMajor Depressive DisorderAdolescentAdultFemaleHumansMalePrevalenceProspective StudiesRecurrenceRisk FactorsYoung AdultInfluence factorsMajor depressive disorderNetwork analysisRecurrence of depression

Identifiers

PMID41388388
PMCPMC12809907

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.