Relations of serum MMP-9 and TIMP-1 levels to left ventricular measures and cardiovascular risk factors: a population-based study

2009 ◽  
Vol 16 (3) ◽  
pp. 297-303 ◽  
Author(s):  
Jonas Hansson ◽  
Lars Lind ◽  
Johannes Hulthe ◽  
Johan Sundstrom
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Population Based ◽  
Left Ventricular ◽  
Population Based Study

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 Association between Coffee Consumption and Its Polyphenols with Cardiovascular Risk Factors: A Population-Based Study

Nutrients ◽  
2017 ◽  
Vol 9 (3) ◽  
pp. 276 ◽  
Author(s):  
Andreia Miranda ◽  
Josiane Steluti ◽  
Regina Fisberg ◽  
Dirce Marchioni
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Coffee Consumption ◽  
Population Based ◽  
Population Based Study

scholarly journals Diastolic dysfunction in individuals with and without heart failure with preserved ejection fraction

2021 ◽  
Author(s):  
Jan-Per Wenzel ◽  
Ramona Bei der Kellen ◽  
Christina Magnussen ◽  
Stefan Blankenberg ◽  
Benedikt Schrage ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Cardiovascular Risk ◽  
General Population ◽  
Diastolic Dysfunction ◽  
Cardiovascular Risk Factors ◽  
Population Based ◽  
Left Ventricular ◽  
Health Study ◽  
Common Finding

Abstract Aim Left ventricular diastolic dysfunction (DD), a common finding in the general population, is considered to be associated with heart failure with preserved ejection faction (HFpEF). Here we evaluate the prevalence and correlates of DD in subjects with and without HFpEF in a middle-aged sample of the general population. Methods and results From the first 10,000 participants of the population-based Hamburg City Health Study (HCHS), 5913 subjects (mean age 64.4 ± 8.3 years, 51.3% females), qualified for the current analysis. Diastolic dysfunction (DD) was identified in 753 (12.7%) participants. Of those, 11.2% showed DD without HFpEF (ALVDD) while 1.3% suffered from DD with HFpEF (DDwHFpEF). In multivariable regression analysis adjusted for major cardiovascular risk factors, ALVDD was associated with arterial hypertension (OR 2.0, p < 0.001) and HbA1c (OR 1.2, p = 0.007). Associations of both ALVDD and DDwHFpEF were: age (OR 1.7, p < 0.001; OR 2.7, p < 0.001), BMI (OR 1.2, p < 0.001; OR 1.6, p = 0.001), and left ventricular mass index (LVMI). In contrast, female sex (OR 2.5, p = 0.006), atrial fibrillation (OR 2.6, p = 0.024), CAD (OR 7.2, p < 0.001) COPD (OR 3.9, p < 0.001), and QRS duration (OR 1.4, p = 0.005) were strongly associated with DDwHFpEF but not with ALVDD. Conclusion The prevalence of DD in a sample from the first 10,000 participants of the population-based HCHS was 12.7% of whom 1.3% suffered from HFpEF. DD with and without HFpEF showed significant associations with different major cardiovascular risk factors and comorbidities warranting further research for their possible role in the formation of both ALVDD and DDwHFpEF.

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.

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