Do cardiovascular risk factors explain the link between white matter hyperintensities and brain volumes in old age? A population-based study

2013 ◽  
Vol 21 (8) ◽  
pp. 1076-1082 ◽  
Author(s):  
R. Wang ◽  
L. Fratiglioni ◽  
A. Laveskog ◽  
G. Kalpouzos ◽  
C.-H. Ehrenkrona ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
White Matter ◽  
Cardiovascular Risk Factors ◽  
Old Age ◽  
White Matter Hyperintensities ◽  
Population Based ◽  
Population Based Study ◽  
Brain Volumes

A population-based study of associations between preeclampsia and later cardiovascular risk factors

2014 ◽  
Vol 211 (6) ◽  
pp. 657.e1-657.e7 ◽  
Author(s):  
Ingvild V. Alsnes ◽  
Imre Janszky ◽  
Michele R. Forman ◽  
Lars J. Vatten ◽  
Inger Økland
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Population Based ◽  
Population Based Study

scholarly journals Psoriasis, metabolic syndrome and cardiovascular risk factors. A population‐based study

2018 ◽  
Vol 33 (1) ◽  
pp. 128-135 ◽  
Author(s):  
J.M. Fernández‐Armenteros ◽  
X. Gómez‐Arbonés ◽  
M. Buti‐Soler ◽  
A. Betriu‐Bars ◽  
V. Sanmartin‐Novell ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Population Based ◽  
Population Based Study

Abstract P057: Clusters of Cardiovascular Risk Factors Predict Incidence of Type 2 Diabetes in Men and Women: A Swedish Population-based Study

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Charlotte A Larsson ◽  
Bledar Daka ◽  
Margareta I Hellgren ◽  
Maria C Eriksson ◽  
Lennart Råstam ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Population Based ◽  
Population Based Study ◽  
Men And Women ◽  
Self Rated Health

Introduction: Clusters of metabolic variables and their effects on incidence of type 2 diabetes have been studied previously; however, little is known about the effects on diabetes from risk factor clusters including lifestyle and self-rated health. Hypothesis: We assessed the hypothesis that clusters of common cardiovascular risk factors, including lifestyle and self-rated health, can predict development of type 2 diabetes in men and women, respectively. Methods: In 2002-2005, 2816 men and women, 30-74 years, were randomly selected from two municipalities in southwestern Sweden and assessed with regard to cardiovascular/metabolic risk factors within the Skaraborg Project (76% participation). Participants performed an OGTT, had blood samples drawn, had anthropometric measurements and blood pressure taken, and answered validated questionnaires about e.g. leisure-time physical activity (with four answer alternatives from intensive to sedentary) and self-rated health (with five alternatives from excellent to very poor). Using the same protocol, 1332 participants from the baseline survey where re-examined in 2011-2014. After excluding those with diabetes at baseline, 1268 participants were included in this prospective population-based study. Results: Factor analysis (using varimax rotation) identified significant loadings (≥0.40) on the following three identical factors in men and women: the metabolic factor , comprising HOMA-ir, WHR, systolic blood pressure, and apolipoprotein B-to-A1 ratio; the vitality factor , comprising physical activity and self-rated health; and the addiction factor , comprising smoking and alcohol consumption. After a mean follow-up of 9.7±1.4 years, 76 cases of diabetes were identified; 46 in men and 30 in women. In a logistic regression analysis adjusted for all principal components, age, and educational level, the metabolic factor significantly predicted type 2 diabetes in both men (OR: 3.3, CI: 2.3-5.0) and women (OR: 3.5, CI: 2.2-5.6). Furthermore, a predictive effect of the vitality factor was also seen in women (OR: 1.8, CI: 1.2-2.9), but not in men (OR: 1.1, CI: 0.8-1.6), whereas the addiction factor had no effect in either men or women. Conclusions: This is to our knowledge the first time principle components of cardiovascular risk factors, including both metabolic and lifestyle variables, have been used to predict incidence of type 2 diabetes. The gender difference observed with regard to the combined impact of self-rated health and physical activity are novel and indicates a mechanism beside the metabolic syndrome that warrants further gender-specific exploration in future studies.

scholarly journals Brain white-matter hyperintensities and treatment outcome in major depressive disorder

2006 ◽  
Vol 188 (2) ◽  
pp. 180-185 ◽  
Author(s):  
Dan V. Iosifescu ◽  
Perry F. Renshaw ◽  
In Kyoon Lyoo ◽  
Ho Kyu Lee ◽  
Roy H. Perlis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Major Depressive Disorder ◽  
Treatment Outcome ◽  
Cardiovascular Risk ◽  
White Matter ◽  
Depressive Disorder ◽  
Cardiovascular Risk Factors ◽  
White Matter Hyperintensities ◽  
Major Depressive ◽  
Brain White Matter

BackgroundAn increased incidence of brain white-matter hyperintensities has been described in major depressive disorder, but the impact of such hyperintensities on treatment outcome is still controversial.AimsTo investigate the relationship of brain white-matter hyperintensities with cardiovascular risk factors and with treatment outcome in younger people with major depressive disorder.MethodWe assessed brain white-matter hyperintensities and cardiovascular risk factors in 84 people with major depressive disorder prior to initiating antidepressanttreatment. We also assessed hyperintensities in 35 matched controls.ResultsWe found no significant difference in the prevalence of white-matter hyperintensities between the depression and the control groups. Left-hemisphere subcortical hyperintensities correlated with lower rates of treatment response. We found no correlation between global hyperintensity measures and clinical outcome. Brain white-matter hyperintensities correlated with hypertension and age and with total cardiovascular risk score.ConclusionsSubcortical white-matter hyperintensities in the left hemisphere (but not in other brain areas) may be associated with poor response to antidepressant treatment in major depression.

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