The interaction between cerebrovascular disease and neuroticism in late-life depression: a cross-sectional study

2010 ◽  
Vol 26 (7) ◽  
pp. 702-710 ◽  
Author(s):  
L. Wouts ◽  
J.G. Janzing ◽  
I.K. Lampe ◽  
B. Franke ◽  
F. de Vegt ◽  
...  
2018 ◽  
Vol 23 (4) ◽  
pp. 491-497 ◽  
Author(s):  
Frans Clignet ◽  
Wim Houtjes ◽  
Annemieke van Straten ◽  
Pim Cuijpers ◽  
Berno van Meijel

2016 ◽  
Vol 189 ◽  
pp. 126-133 ◽  
Author(s):  
Harris A. Eyre ◽  
Hongyu Yang ◽  
Amber M. Leaver ◽  
Kathleen Van Dyk ◽  
Prabha Siddarth ◽  
...  

2017 ◽  
Vol 34 (5) ◽  
pp. 539-545 ◽  
Author(s):  
Floor Holvast ◽  
Bernard A van Hattem ◽  
Judith Sinnige ◽  
François Schellevis ◽  
Katja Taxis ◽  
...  

2010 ◽  
Vol 68 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Felipe Kenji Sudo ◽  
Gilberto Sousa Alves ◽  
Carlos Eduardo de Oliveira Alves ◽  
Maria Elisa Lanna ◽  
Letice Ericeira-Valente ◽  
...  

OBJECTIVE: Cerebrovascular disease (CVD) is associated with cognitive deficits. This cross-sectional study examines differences among healthy elderly controls and patients with vascular mild cognitive impairment (VaMCI) and vascular dementia (VaD) in performances on CAMCOG subscales. METHOD: Elderly individuals (n=61) were divided into 3 groups, according to cognitive and neuroimaging status: 16 controls, 20 VaMCI and 25 VaD. VaMCI and VaD individuals scored over 4 points on the Hachinski Ischemic Scale. RESULTS: Significant differences in total CAMCOG scores were observed across the three groups (p<0.001). VaD subjects performed worse than those with VaMCI in most CAMCOG subscales (p<0.001). All subscales showed differences between controls and VaD (p<0.001). Performance on abstract thinking showed difference between VaMCI and controls (p<0.001). CONCLUSION: CAMCOG discriminated controls from VaMCI and VaD. Assessment of abstract thinking may be useful as a screening item for diagnosis of VaMCI.


BMJ Open ◽  
2015 ◽  
Vol 5 (1) ◽  
pp. e005753-e005753 ◽  
Author(s):  
R. K. Edjoc ◽  
R. D. Reid ◽  
M. Sharma ◽  
L. Balfour ◽  
M. Procino

2021 ◽  
Vol Volume 16 ◽  
pp. 1337-1346
Author(s):  
Mingming Fu ◽  
Junfei Guo ◽  
Yuqi Zhao ◽  
Yaqian Zhang ◽  
Yingze Zhang ◽  
...  

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