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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Главные авторы:	JianLi Wang, Glenda MacQueen, Scott Patten, Douglas Manuel, Bonnie Lashewicz, Norbert Schmitz
Формат:	Artigo
Язык:	Inglês
Опубликовано:	BMC 2019-09-01
Серии:	BMC Psychiatry
Предметы:	Major depression Multivariable risk predictive algorithms High risk Early identification General population Self-help
Online-ссылка:	http://link.springer.com/article/10.1186/s12888-019-2270-9
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