@article{ref1,
title="Differentiating clinical and non-clinical depression: a heuristic study offering a template for extension studies",
journal="Acta psychiatrica Scandinavica",
year="2019",
author="Parker, Gordon and Tavella, Gabriela and Ricciardi, Tahlia and Hadzi-Pavlovic, Dusan",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="OBJECTIVE: To differentiate clinical and non-clinical depression via a set of symptoms. <br><br>METHODS: A sample of 140 patients attending a clinical service for those with mood disorders together with 40 subjects denying ever experiencing a clinical episode of depression were compared, with participants completing a questionnaire capturing many symptoms of depression as well as illness correlates. <br><br>RESULTS: A latent class analysis of symptom data identified two classes and with class assignment corresponding strongly with initial clinical versus non-clinical assignment. Univariate analyses identified the extent to which individual symptoms contributed to differentiation. Study data suggested DSM criteria that would benefit from re-writing or of reassignment. Two models for classifying clinical depression were generated. The first involved individuals feeling hopeless and also being suicidal or at risk of self-harm. The second involved a symptom set corresponding to DSM-5 criteria but with only five making significant independent contributions to diagnostic differentiation. <br><br>CONCLUSION: The study is heuristic in offering a strategy for more precisely differentiating clinical and non-clinical depression in more representative samples, so allowing resolution of key features, and determining whether a monothetic or polythetic diagnostic symptom criterion model is optimal.<br><br>© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.<p /> <p>Language: en</p>",
language="en",
issn="0001-690X",
doi="10.1111/acps.13130",
url="http://dx.doi.org/10.1111/acps.13130"
}