Confirming Diagnostic Categories within a Depression Continuum: Testing Extra-linearity of Risk Factors and a Latent Class Analysis

Highlights•2.1% participants screened positive for clinical depression. •There was a dramatic underlying change in symptoms above the clinical cut-off. •Latent classes could not be found below clinical cut-off. •Symptom changes corresponded to extra-linear impact from key etiological factors. •Diagn...

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Bibliographic Details
Published in:Journal of affective disorders 2021-01, Vol.279, p.183-190
Main Authors: Coid, Jeremy W., MD, Zhang, Yamin, PhD, Yu, Hua, MD, Li, Xiaojing, MD, Tang, Wanjie, PhD, Wang, Qiang, MD, Deng, Wei, MD, Guo, Wanjun, MD, Zhao, Liansheng, MSc, Ma, Xiaohong, MD, Meng, Yajing, MD, Li, Mingli, MD, Wang, Huiyao, MSc, Chen, Ting, BM, Li, Tao, MD PhD
Format: Article
Language:English
Subjects:
Child
Cross-Sectional Studies
Depression
Depression - diagnosis
Depression - epidemiology
Depressive Disorder - diagnosis
Depressive Disorder - epidemiology
Diagnostic categories
Extra-linearity
Humans
Latent Class Analysis
Latent classes
Phq-9
Psychiatric/Mental Health
Risk Factors
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Summary:Highlights•2.1% participants screened positive for clinical depression. •There was a dramatic underlying change in symptoms above the clinical cut-off. •Latent classes could not be found below clinical cut-off. •Symptom changes corresponded to extra-linear impact from key etiological factors. •Diagnostic categories are more appropriate than dimensions above clinical cut-off.
ISSN:0165-0327
1573-2517
DOI:10.1016/j.jad.2020.10.010