Cognition as predictor of current and follow-up depressive symptoms in the general population
Objective: Previous studies have reported an association between depression and poor cognitive functioning. Unknown is to what degree such associations are merely state‐related or reflect an enduring depression vulnerability. This study examined whether cognitive deficits predict current and/or fol...
Saved in:
Published in: | Acta Psychiatrica Scandinavica Vol. 120; no. 1; pp. 45 - 52 |
---|---|
Main Authors: | , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Oxford, UK
Blackwell Publishing Ltd
01-07-2009
Blackwell |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Objective: Previous studies have reported an association between depression and poor cognitive functioning. Unknown is to what degree such associations are merely state‐related or reflect an enduring depression vulnerability. This study examined whether cognitive deficits predict current and/or follow‐up (sub)clinical depressive symptoms in the general population.
Method: A population‐based sample of 569 female twins and 43 of their sisters completed a neuropsychological battery. Cross‐sectional and prospective associations between depressive symptoms measured at the subclinical [Symptom Checklist‐90 (SCL‐90)] and clinical level (Structured Clinical Interview for DSM‐IV disorders) and neuropsychological factors (episodic memory and information processing speed) were examined.
Results: Structured Clinical Interview for DSM‐IV disorders baseline depressive symptoms were significantly associated with information processing speed but not with episodic memory. Episodic memory was significantly associated with follow‐up SCL‐90 depressive symptoms.
Conclusion: Being depressed is accompanied by slower information processing. Poor memory functioning may be a predictor for the onset of subclinical depressive symptoms. |
---|---|
Bibliography: | ark:/67375/WNG-VG966BLZ-F ArticleID:ACPS1339 istex:8A689859D93C2988819AC035FF867EE7AA444C58 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0001-690X 1600-0447 0065-1591 |
DOI: | 10.1111/j.1600-0447.2008.01339.x |