2019
DOI: 10.1037/abn0000401
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Passing on the half-empty glass: A transgenerational study of interpretation biases in children at risk for depression and their parents with depression.

Abstract: Children of parents with a history of depression have an increased risk of developing depression themselves. The present study investigated the role of interpretation biases (that have been found in adults and adolescents with depression but have rarely been examined in at-risk youth) in the transgenerational transmission of depression risk. Interpretation biases were assessed with two experimental tasks: Ambiguous Scenarios Task (AST) and Scrambled Sentences Task (SST) in 9 -14-year-old children of parents wi… Show more

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Cited by 28 publications
(63 citation statements)
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“…With respect to the first aim of the study, we expected to find more negative interpretation biases in children and adolescents with MD in comparison to healthy children and adolescents (both high- and low-risk youth), based on theoretical predictions (e.g., Disner et al 2011 ) and previous findings (Orchard et al 2016b ; Micco et al 2014 ). Regarding the second aim, we expected negative interpretation biases to be to some extent present in youth at high risk for depression compared to youth at low risk for depression (corresponding to our previous results, Sfärlea et al 2019 ; as well as Dearing and Gotlib 2009 ; Goodman and Gotlib 1999 ), but to be more pronounced in depressed versus high-risk youth (as found for memory biases; Fattahi Asl et al 2015 ).…”
Section: Introductionsupporting
confidence: 73%
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“…With respect to the first aim of the study, we expected to find more negative interpretation biases in children and adolescents with MD in comparison to healthy children and adolescents (both high- and low-risk youth), based on theoretical predictions (e.g., Disner et al 2011 ) and previous findings (Orchard et al 2016b ; Micco et al 2014 ). Regarding the second aim, we expected negative interpretation biases to be to some extent present in youth at high risk for depression compared to youth at low risk for depression (corresponding to our previous results, Sfärlea et al 2019 ; as well as Dearing and Gotlib 2009 ; Goodman and Gotlib 1999 ), but to be more pronounced in depressed versus high-risk youth (as found for memory biases; Fattahi Asl et al 2015 ).…”
Section: Introductionsupporting
confidence: 73%
“…The proportion of negatively resolved sentences indicates the interpretation bias. Applying two experimental measures of interpretation bias allows the examination of different aspects of interpretation, with the AST presumably measuring a more conscious and explicit aspect and the SST capturing a more automatic and implicit aspect (Sfärlea et al 2019 ). Both tasks have already been used in adolescent samples (e.g., de Voogd et al 2017 ; Burnett Heyes et al 2017 ) where they demonstrated at least acceptable reliability (Micco et al 2014 ; Sfärlea et al 2019 ).…”
Section: Introductionmentioning
confidence: 99%
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“…Nevertheless, few studies have investigated the role of multiple cognitive, affective, parenting and environmental risk factors in children of parents with depression. The current study investigates the presence of these four factors in a convenience sample of children and their parents recruited for a preventive intervention and an experimental study [51,52]. The first aim is to replicate the finding that children of depressed versus non-depressed parents have an increased risk of psychopathology.…”
Section: Summary and Current Studymentioning
confidence: 96%
“…This results in more negatively framed sentences among the alternative sentences that could be formed compared to those produced by healthy subjects. This is not only seen in depressed individuals, but also individuals who are at risk for developing depression (Sfarlea et al, 2019). While studies on interpretation bias in substance use disorder patients are lacking, it has been demonstrated that cannabis, opioid, and stimulant dependent subjects show a positive cognitive attention bias (Zhang et al, 2018).…”
Section: Introduction Rationalementioning
confidence: 99%