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A randomized controlled trial to examine the impacts of disclosing personalized depression risk information on the outcomes of individuals who are at high risk of developing major depression: a research protocol

Abstract Background Major depressive disorder is one of the most prevalent and disabling forms of mental illness in the general population. One public health strategy that may reduce the disease burden is early identification and prevention - identifying people who are at high risk and intervening t...

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Principais autores: JianLi Wang, Glenda MacQueen, Scott Patten, Douglas Manuel, Bonnie Lashewicz, Norbert Schmitz
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2019-09-01
coleção:BMC Psychiatry
Assuntos:
Major depression
Multivariable risk predictive algorithms
High risk
Early identification
General population
Self-help
Acesso em linha:http://link.springer.com/article/10.1186/s12888-019-2270-9
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