2014
DOI: 10.1159/000362563
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The Four-Year Course of Major Depressive Disorder: The Role of Staging and Risk Factor Determination

Abstract: Background: Much is still unclear about the mechanisms underlying the course of major depressive disorder (MDD). This study aimed to identify risk factors that predict a poor prognosis of MDD while taking into consideration its chronicity at baseline. Methods: In patients with MDD (n = 767), we examined whether baseline clinical factors, sociodemographics, childhood trauma, personality and life events predicted the 4-year course (i.e. sustained recovery, temporary recovery and chronic course) of MDD. Baseline … Show more

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Cited by 52 publications
(33 citation statements)
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References 47 publications
(68 reference statements)
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“…For instance, depression severity in patients who do not sufficiently respond to 1 antidepressant treatment and patients not sufficiently responding to more than 1 antidepressant treatment may be significantly different, potentially causing a dysbalance between these groups. Similarly, our protocol does not take duration of the current episode into account, which may also be an aspect of treatment resistance [20, 21]. Secondly, putative confounding factors such as frequency of episodes, family history, and personality traits are not represented in the inclusion criteria.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, depression severity in patients who do not sufficiently respond to 1 antidepressant treatment and patients not sufficiently responding to more than 1 antidepressant treatment may be significantly different, potentially causing a dysbalance between these groups. Similarly, our protocol does not take duration of the current episode into account, which may also be an aspect of treatment resistance [20, 21]. Secondly, putative confounding factors such as frequency of episodes, family history, and personality traits are not represented in the inclusion criteria.…”
Section: Discussionmentioning
confidence: 99%
“…Analyzing these subgroups might lead to more accurate prediction models if risk factors are different for patients with a first episode than for patients with an extensive depression history(Boschloo, et al, 2014; Kendler, et al, 2000). Larger prospective samples of patients with first episodes would be needed to explore this.…”
Section: Discussionmentioning
confidence: 99%
“…Duration of illness, unemployment, and educational attainment are likely indicators of long-term impact of persistent depression on educational and employment outcomes (Boschloo et al, 2014;Luo, Cowell, Musuda, Novak, & Johnson, 2010;Mojtabai, Stuart, Hwang, Susukida, et al, 2015;Sherbourne, Schoenbaum, Wells, & Croghan, 2004;Voltas, Hernandez-Martinez, Aparicio, Arija, & Canals, 2014). Being unemployed and longer duration of illness at baseline were associated with higher odds and any college education with lower odds of nonremission in multivariable analysis.…”
Section: Resultsmentioning
confidence: 99%