scholarly journals Cardiovascular Risk Factors Associated With Blood Metabolite Concentrations and Their Alterations During a 4-Year Period in a Population-Based Cohort

2016 ◽  
Vol 9 (6) ◽  
pp. 487-494 ◽  
Author(s):  
Maria Elena Lacruz ◽  
Alexander Kluttig ◽  
Daniel Tiller ◽  
Daniel Medenwald ◽  
Ina Giegling ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Population Based ◽  
Factors Associated ◽  
Blood Metabolite ◽  
Metabolite Concentrations

scholarly journals Comparison of father-offspring and mother-offspring associations of cardiovascular risk factors: family linkage within the population-based HUNT Study, Norway

2013 ◽  
Vol 43 (3) ◽  
pp. 760-771 ◽  
Author(s):  
Kirsti L Vik ◽  
Pål Romundstad ◽  
David Carslake ◽  
George Davey Smith ◽  
Tom IL Nilsen
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Population Based ◽  
Hunt Study

scholarly journals The epidemiology of Lp-PLA2: Distribution and correlation with cardiovascular risk factors in a population-based cohort

2007 ◽  
Vol 190 (2) ◽  
pp. 388-396 ◽  
Author(s):  
Margaretha Persson ◽  
Jan-Åke Nilsson ◽  
Jeanenne J. Nelson ◽  
Bo Hedblad ◽  
Göran Berglund
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Population Based

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 Gender Inequalities in Diagnostic Inertia around the Three Most Prevalent Cardiovascular Risk Studies: Protocol for a Population-Based Cohort Study

2021 ◽  
Vol 18 (8) ◽  
pp. 4054
Author(s):  
Concepción Carratala-Munuera ◽  
Adriana Lopez-Pineda ◽  
Domingo Orozco-Beltran ◽  
Jose A. Quesada ◽  
Jose L. Alfonso-Sanchez ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Health Care ◽  
Cohort Study ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Disease Incidence ◽  
Population Based ◽  
Gender Inequalities ◽  
Primary Health Care Centers

Evidence shows that objectives for detecting and controlling cardiovascular risk factors are not being effectively met, and moreover, outcomes differ between men and women. This study will assess the gender-related differences in diagnostic inertia around the three most prevalent cardiovascular risk factors: dyslipidemia, arterial hypertension, and diabetes mellitus, and to evaluate the consequences on cardiovascular disease incidence. This is an epidemiological and cohort study. Eligible patients will be adults who presented to public primary health care centers in a Spanish region from 2008 to 2011, with hypertension, dyslipidemia, or/and diabetes and without cardiovascular disease. Participants’ electronic health records will be used to collect the study variables in a window of six months from inclusion. Diagnostic inertia of hypertension, dyslipidemia, and/or diabetes is defined as the registry of abnormal diagnostic parameters—but no diagnosis—on the person’s health record. The cohort will be followed from the date of inclusion until the end of 2019. Outcomes will be cardiovascular events, defined as hospital admission due to ischemic cardiopathy, stroke, and death from any cause. The results of this study could inform actions to rectify the structure, organization and training of health care teams in order to correct the inequality.

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