O2-02-06: Depressive symptoms predict cognitive impairment in nondisabled elderly with white matter changes: The LADIS study

2009 ◽  
Vol 5 (4S_Part_4) ◽  
pp. P105-P106
Author(s):  
Ana Verdelho ◽  
Sofia Madureira ◽  
Carla Moleiro ◽  
Jose M. Ferro ◽  
John O'Brien ◽  
...  
2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
A. Verdelho ◽  
S. Madureira ◽  
C. Moleiro ◽  
J.M. Ferro

Aims:Depressive symptoms (DS) in the elderly have been implicated in cognitive decline, and are more frequent in patients with white matter changes (WMC). Our aim was to ascertain if DS influence cognition in an elderly population with WMC.Methods:The LADIS (Leukoaraiosis and Disability) is a prospective European study that evaluates the impact of WMC on the transition of independent elderly subjects into disability. Subjects were enrolled due to minor complaints without impact in daily-living activities, and presence of WMC. Subjects were evaluated at baseline and yearly during 3 years with a comprehensive clinical and functional protocol. DS were recorded with the Geriatric Depression Scale (GDS). Major depression was classified according to the DSM-IV criteria. Dementia and cognitive decline not dementia were diagnosed according to usual clinical criteria. MRI was performed at entry and at the end of the study. WMC severity was rated according to the Fazeka's scale.Results:639 subjects were included (74.1 ± 5 years old, 55% women, 9.6±3.8 years of schooling). 89% (568), 78.4% (501), and 75% (480) of the patients from the initial sample were followed-up in clinical visit at year 1, 2 and 3. At the end of the study 90 patients were demented and 147 patients had cognitive impairment not dementia. Using survival Cox regression we found that depressive symptoms were independent predictors of cognitive impairment independently of age, education, gender, WMC severity and temporal atrophy.Conclusion:Depressive symptoms are independent predictor of cognitive decline in an independent elderly population with WMC.


2020 ◽  
Vol 26 (7) ◽  
pp. 679-689
Author(s):  
Chang Hyun Lee ◽  
Do Hoon Kim

AbstractObjective:The aim of this study was to model the relationships among white matter hyperintensities (WMHs), depressive symptoms, and cognitive function and to examine the mediating effect of depressive symptoms on the relationship between WMHs and cognitive impairment.Methods:We performed structural equation modeling using cross-sectional data from 1158 patients from the Clinical Research for Dementia of South Korea (CREDOS) registry who were diagnosed with mild-to-moderate dementia. Periventricular white matter hyperintensities (PWMHs) and deep white matter hyperintensities (DWMHs) were obtained separately on the protocol of magnetic resonance imaging (MRI). Depression and cognitive function were assessed using the Korean Form of the Geriatric Depression Scale (KGDS) and the Seoul Neuropsychological Screening Battery (SNSB), respectively.Results:The model that best reflected the relationships among the variables was the model in which DWMHs affected cognitive function directly and indirectly through the depressive symptoms; on the other hand, PWMHs only directly affected cognitive function.Conclusions:This study presents the mediation model including the developmental pathway from DWMHs to cognitive impairment through depressive symptoms and suggests that the two types of WMHs may affect cognitive impairment through different pathways.


2007 ◽  
Vol 191 (3) ◽  
pp. 212-217 ◽  
Author(s):  
Andrew Teodorczuk ◽  
John T. O'Brien ◽  
Michael J. Firbank ◽  
Leonardo Pantoni ◽  
Anna Poggesi ◽  
...  

BackgroundEvidence from cross-sectional studies suggests a link between cerebral age-related white matter changes and depressive symptoms in older people, although the temporal association remains unclear.AimsTo investigate age-related white matter changes on magnetic resonance imaging (MRI) as an independent predictor of depressive symptoms at 1 year after controlling for known confounders.MethodIn a pan-European multicentre study of 639 older adults without significant disability, MRI white matter changes and demographic and clinical variables, including cognitive scores, quality of life, disability and depressive symptoms, were assessed at baseline. Clinical assessments were repeated at 1 year.ResultsUsing logistic regression analysis, severity of white matter changes was shown to independently and significantly predict depressive symptoms at 1 year after controlling for baseline depressive symptoms, quality of life and worsening disability (P<0.01).ConclusionsWhite matter changes pre-date and are associated with the development of depressive symptoms. This has implications for treatment and prevention of depression in later life.


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