Components of interference control predict depressive symptoms and rumination cross-sectionally and at six months follow-up

Zetsche, Ulrike; Joormann, Jutta

doi:10.1016/j.jbtep.2010.06.001

Cited by 94 publications

(115 citation statements)

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“…Importantly, longitudinal studies and cognitive bias modification (CBM) research (i.e., experimental manipulation of processing biases) have shown that cognitive control deficits (Siegle, Ghinassi, & Thase, 2007;Zetsche & Joormann, 2011), biases in attention (Beevers & Carver, 2003;, interpretation (Blackwell & Holmes, 2010;Holmes, Lang, & Shah, 2009;Rude, Valdez, Odom, & Ebrahimi, 2003;Rude, Wenzlaff, Gibbs, Vane, & Whitney, 2002), and memory processes (Johnson, Joormann, & Gotlib, 2007;Raes, Williams, & Hermans, 2009;Sumner, Griffith, & Mineka, 2010) can predict and contribute to the onset and maintenance of depressive symptoms. Moreover, these distorted cognitive processes can be found in at-risk (Dearing & Gotlib, 2009;Joormann, Talbot, & Gotlib, 2007;Kujawa et al, 2011;Taylor & Ingram, 1999) and remitted (Fritzsche et al, 2010;Gilboa & Gotlib, 1997;Hedlund & Rude, 1995;, 2010 depressed samples.…”

Section: Cognitive Biases and Vulnerability For Depressionmentioning

confidence: 99%

“…Although empirical data from longitudinal studies have found that biases in attention (Beevers & Carver, 2003), interpretation (Rude, Durham-Fowler, Baum, Rooney, & Maestas, 2010;Rude et al, 2003;Rude et al, 2002), memory (Johnson et al, 2007;Sumner et al, 2010) and impairments in cognitive control (Zetsche & Joormann, 2011) can predict depressive symptoms and clinical depression, it is COMBINED COGNITIVE BIAS HYPOTHESIS IN DEPRESSION 25 notable that the obtained effects sizes are often small to moderate. In line with Mathews and MacLeod (2005) we believe that biased cognitive processes can have substantial effects on depression through their mutual interactions and interaction with stressful live events, affecting emotional reactivity to stress that may subsequently lead to depressive symptoms and episodes.…”

Section: Predicting Depressionmentioning

confidence: 99%

“…There is emerging research testing this hypothesis. For instance, prospective studies have observed that cognitive control impairments predict later depressive symptoms in non-clinical samples (Zetsche & Joormann, 2011) and, in remitted depressed individuals, the relationship between cognitive control and depressive symptom levels is fully mediated by rumination (Demeyer, De Lissnyder, Koster, & De Raedt, 2012). In sum, the mechanisms by which cognitive biases and their interplay relate to emotion regulation strategies and depressive symptoms provide a fruitful avenue for future research.…”

Section: Predicting Depressionmentioning

confidence: 99%

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The combined cognitive bias hypothesis in depression

Everaert

Koster

Derakshan

2012

Clinical Psychology Review

273

179

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Drawing from substantial evidence demonstrating cognitive biases in depression at various stages of information processing (i.e., attention, interpretation, memory, cognitive control), we argue for an approach that considers the interplay among these processes. This paper attempts to apply the combined cognitive bias hypothesis (Hirsch, Mathews, & Clark, 2006) to depression research and reviews competing theoretical frameworks that have guided research in this area. We draw on current findings from behavioral studies on the interplay between depression-related processing biases. These data indicate that various cognitive biases are associated. However, it is not clear whether single or multiple biases are most predictive of depressive symptoms. We conclude this article with theoretical and clinical implications of the current state of research in this field and propose a number of ways in which research on the combined cognitive bias hypothesis can be advanced. A State-of-the-art Major depression is a prevalent psychiatric disorder that is associated with debilitating symptomatic suffering, functional impairments, and high societal costs (Kessler & Wang, 2009). Notwithstanding a range of well-established psychological and pharmacological interventions, relapse and recurrence rates of depression remain high (Vittengl, Clark, Dunn, & Jarrett, 2007) indicating that current therapies do not sufficiently address vulnerability factors for this burdensome disorder. Moreover, with each successive depressive episode the risk for recurrence increases (Boland & Keller, 2009), which points to an expanding vulnerability with multiple episodes. Hence, profound insight into the mechanisms involved in the etiology and maintenance of major depression seems essential in improving contemporary treatment options and the prevention of depression.In the past three decades, research inspired by cognitive accounts of depression has been successful in identifying vulnerability factors for this disorder. Apart from substantial research examining depressive cognitive content as a vulnerability factor (e.g., negative thoughts), a promising line of research highlights the role of cognitive biases in the development, maintenance, and relapse/recurrence of depression (for reviews see Mathews & MacLeod, 2005). Research efforts in this particular area of interest have typically focused on abnormalities in attention, interpretation, and memory processes, which are considered to be instrumental in the understanding of the processes involved in these cognitive biases. More recently, there is growing interest into cognitive and neural mechanisms underlying cognitive control impairments, which may operate across a variety of cognitive biases. Indeed a substantial number of studies on emotional information processing in depressed samples provide evidence that depression is characterized by attention, interpretation, and memory biases, especially for negative information (see below). COMBINED COGNITIVE BIAS HYPOTHESIS IN DEPRESSION 4This resea...

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Section: Cognitive Biases and Vulnerability For Depressionmentioning

confidence: 99%

Section: Predicting Depressionmentioning

confidence: 99%

Section: Predicting Depressionmentioning

confidence: 99%

See 1 more Smart Citation

The combined cognitive bias hypothesis in depression

Everaert

Koster

Derakshan

2012

Clinical Psychology Review

273

179

View full text Add to dashboard Cite

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“…Cross-sectional (Davis & Nolen-Hoeksema, 2000;Joormann, 2006;Joormann & Gotlib, 2010) as well as prospective studies (Connolly et al, 2014;Demeyer, De Lissnyder, Koster, & De Raedt, 2012;Zetsche & Joormann, 2011) have consistently linked rumination to impaired cognitive control (for a review, see Joormann & D'Avanzato, 2010) 1 . Importantly, cognitive control impairments have been identified in at-risk (Owens, Koster, & Derakshan, 2012), currently depressed (De Lissnyder, Koster, Everaert, et al, 2012), and remitted depressed populations (Vanderhasselt & De Raedt, 2009), and predict higher levels of rumination and depressive symptoms in response to stress (De Lissnyder, Koster, Goubert, et al, 2012;Zetsche & Joormann, 2011).…”

mentioning

confidence: 99%

“…Importantly, cognitive control impairments have been identified in at-risk (Owens, Koster, & Derakshan, 2012), currently depressed (De Lissnyder, Koster, Everaert, et al, 2012), and remitted depressed populations (Vanderhasselt & De Raedt, 2009), and predict higher levels of rumination and depressive symptoms in response to stress (De Lissnyder, Koster, Goubert, et al, 2012;Zetsche & Joormann, 2011). Moreover, it has been suggested that cognitive control impairments reflect increased biological vulnerability to depression (i.e., hypofrontality), which through rumination and its detrimental effects (e.g., sustained negative mood) is thought to further increase cognitive and biological vulnerability for recurrent depression (for a conceptual framework on the relation between cognitive control impairments and increasing biological and cognitive vulnerability in recurrent depression, see De Raedt & Koster, 2010).…”

mentioning

confidence: 99%

The influence of cognitive control training on stress reactivity and rumination in response to a lab stressor and naturalistic stress

Hoorelbeke

Koster

Vanderhasselt

et al. 2015

Behaviour Research and Therapy

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The relationships between rumination and core executive functions: A meta-analysis

et al. 2016

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We found significant negative associations between rumination and inhibition or set-shifting. There was no significant association between rumination and working memory. Future research should adopt multiple measures of EF to provide clear evidence on the associations between EF and rumination. A better understanding of this relationship may have important implications for intervention of rumination, such as training programs to improve EF or teach compensatory strategies to mitigate the effects of EF impairments.

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Components of interference control predict depressive symptoms and rumination cross-sectionally and at six months follow-up

Cited by 94 publications

References 47 publications

The combined cognitive bias hypothesis in depression

The combined cognitive bias hypothesis in depression

The influence of cognitive control training on stress reactivity and rumination in response to a lab stressor and naturalistic stress

The relationships between rumination and core executive functions: A meta-analysis

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