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Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.

ABSTRACT: [Correction Notice: An Erratum for this article was reported online in Psychological Assessment on Aug 2 2018 (see record 2018-38659-001). In this article, there was an error in how exclusions for one of the three samples were reported, which resulted in inaccurate reporting of how many participants did not have complete data. This error did not change the primary results of the article or the conclusions. However, in the second paragraph of the Participant Attrition and Data Filtering section, the number of exclusions for the adolescent sample should be 301, not 163. As a result, n=408 should read n=270 in the abstract; in paragraph 3 of the Method section; and in the Figure 1 legend. In addition, the correct values for the Adolescents sample reported in Tables 1 and 2 are provided in the erratum.] Although the self-referent encoding task (SRET) is commonly used to measure self-referent cognition in depression, many different SRET metrics can be obtained. The current study used best subsets regression with cross-validation and independent test samples to identify the SRET metrics most reliably associated with depression symptoms in three large samples: a college student sample (n = 572), a sample of adults from Amazon Mechanical Turk (n = 293), and an adolescent sample from a school field study (n = 408). Across all 3 samples, SRET metrics associated most strongly with depression severity included number of words endorsed as self-descriptive and rate of accumulation of information required to decide whether adjectives were self-descriptive (i.e., drift rate). These metrics had strong intratask and split-half reliability and high test-retest reliability across a 1-week period. Recall of SRET stimuli and traditional reaction time (RT) metrics were not robustly associated with depression severity. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

SUBMITTER: Dainer-Best J

PROVIDER: S-EPMC6212341 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.

Dainer-Best Justin J Lee Hae Yeon HY Shumake Jason D JD Yeager David S DS Beevers Christopher G CG

Psychological assessment 20180607 11

[Correction Notice: An Erratum for this article was reported online in <i>Psychological Assessment</i> on Aug 2 2018 (see record 2018-38659-001). In this article, there was an error in how exclusions for one of the three samples were reported, which resulted in inaccurate reporting of how many participants did not have complete data. This error did not change the primary results of the article or the conclusions. However, in the second paragraph of the Participant Attrition and Data Filtering se ...[more]

PMID: 29878818

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Project description:Chronic dysregulation of peripheral lipids has been found to be associated with depression and cognition, but their interaction has not been investigated. Growing evidence has highlighted the association between peripheral lipoprotein levels with depression and cognition with inconsistent results. We assessed the association between peripheral lipids, depression, and cognition while evaluating their potential interactions using robust clinically relevant predictors such as lipoprotein levels and chronic medical disorders that dysregulate lipoproteins. We report an association between peripheral lipids, depression, and cognition, suggesting a common underlying biological mechanism driven by lipid dysregulation in two independent studies. Analysis of a longitudinal study of a cohort at high or low familial risk for major depressive disorder (MDD) (n = 526) found metabolic diseases, including diabetes, hypertension, and other cardiovascular diseases, were associated with MDD and cognitive outcomes. Investigating a cross-sectional population survey of adults in the National Health and Nutrition Examination Survey 2011-2014 (NHANES) (n = 2377), depression was found to be associated with high density lipoprotein (HDL) and cognitive assessments. In the familial risk study, medical conditions were found to be associated with chronic lipid dysregulation and were significantly associated with MDD using the structural equation model. A positive association between chronic lipid dysregulation and cognitive scores was found in an exploratory analysis of the familial risk study. In a complementary study, analysis of NHANES revealed a positive association of HDL levels with cognition. Further analysis of the NHANES cohort indicated that depression status mediated the interaction between HDL levels and cognitive tests. Importantly, the protective effect of HDL on cognition was absent in those with depressive symptoms, which may ultimately result in worse outcomes leading to cognitive decline. These findings highlight the potential for the early predictive value of medical conditions with chronic lipid dyshomeostasis for the risk of depression and cognitive decline.

Dataset Information

Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.

Publications

Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.

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