404Impact of cardiovascular risk factors for the development of cardiovascular disease: Results from MORGAM and BiomarCaRE consortia

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
C Magnussen
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Substantial Reduction ◽  
Density Lipoprotein ◽  
Daily Smoking ◽  
Cvd Risk ◽  
Coronary Death ◽  
Cardiac Revascularization ◽  
The Impact

Abstract Background Knowledge about the impact of modifiable risk factors for cardiovascular disease (CVD) onset is essential to improve CVD prevention. Purpose We estimated population-attributable fractions (PAFs) of body-mass-index (BMI), systolic blood pressure (SBP), diabetes, blood lipids (non-high-density lipoprotein cholesterol; non-HDL-C) and daily smoking for CVD. Methods Harmonized data from MOnica Risk, Genetics, Archiving and Monograph (MORGAM) and Biomarkers for Cardiovascular Risk Assessment in Europe (BiomaCaRE) consortia were used to calculate hazard ratios (HRs; 95% CI) and PAFs for incident CVD (myocardial infarction or coronary death, unstable angina, cardiac revascularization, ischemic stroke). PAFs for single risk factors or any combination of them were estimated using methods by Laaksonen 2011. Results We included 150,190 participants (77,801 men and 72,389 women) without CVD at baseline. Strongest associations were seen for SBP ≥160 mmHg (HR 1.79, 1.67–1.92 men; HR 1.93, 1.75–2.14 women), diabetes (HR 2.02, 1.86–2.20 men; HR 2.29, 2.06–2.55 women), non-HDL-C ≥220 mg/dL (HR 3.11, 2.49–3.88 men; HR 2.27, 1.68–3.05 women), daily smoking (HR 1.82, 1.73–1,90 men; HR 2.16, 2.0–2.33 women). Table 1 provides PAFs for incident CVD. Overall PAFs for men and women were 73.7% (67.7–79.1) and 73.3% (64.9–80.9). Table 1. PAFs (%) for 5-year incident CVD Risk factor/category PAFs (95% CI), men PAFs (95% CI), women Underweight 0.1 (−0.1, 0.3) 0.2 (−0.1, 0.6) Pre-obesity 6.6 (4.3, 8.9) 4.3 (1.5, 6.9) Obesity 3.9 (2.7, 5.3) 8.0 (5.3, 10.5) SBP 130 to <140 mmHg 2.8 (1.7, 4.0) 2.7 (1.3, 4.0) SBP 140 to <160 mmHg 9.7 (8.1, 11.3) 9.3 (6.7, 11.6) SBP ≥160 mmHg 11.3 (9.7, 12.8) 18.9 (16.2, 21.8) Diabetes 5.2 (4.5, 6.2) 7.8 (6.5, 9.4) non-HDL-C 100 to <145 mg/dL 4.3 (1.8, 6.4) 3.3 (0.5, 6.5) non-HDL-C 145 to <185 mg/dL 13.9 (9.8, 17.5) 11.3 (6.0, 16.2) non-HDL-C 185 to <220 mg/dL 15.8 (12.8, 18.4) 12.8 (8.8, 17.0) non-HDL-C ≥220 mg/dL 16.7 (14.6, 18.5) 17.0 (12.5, 21.1) Daily smoking 16.5 (15.0, 18.3) 12.3 (10.7, 13.7) The N CVD events/N used was 8,302/77,801 for men and 4,071/72,389 for women. Conclusion Uncontrolled risk factors, especially non-HDL-C and SBP in the highest category, daily smoking and diabetes had the highest impact for incident CVD. All risk factors combined accounted for a PAF of 73%. Targeting risk factors would lead to a substantial reduction of CVD onset. Acknowledgement/Funding BiomarCaRE: EU Seventh Framework Programme (FP7/2007-2013), No. HEALTH-F2-2011-278913. MORGAM: EU FP 7 CHANCES (HEALTH-F3-2010-242244).

scholarly journals Cardiovascular disease risk factors among undergraduate medical students in a tertiary care centre of eastern India: a pilot study

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Somnath Mukhopadhay ◽  
Anindya Mukherjee ◽  
Dibbendhu Khanra ◽  
Biaus Samanta ◽  
Avik Karak ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Medical Students ◽  
Risk Ratio ◽  
Tertiary Care ◽  
Density Lipoprotein ◽  
Eastern India ◽  
Cvd Risk Factors ◽  
Cvd Risk

Abstract Background Handful studies report the prevalence of cardiovascular disease (CVD) risk factors among medical students from India and none from the eastern part of the country. Aim To estimate the prevalence of risk factors of CVD and their correlation with CVD risk ratio among the MBBS students from eastern India. Methods 433 students were studied. International Physical Activity Questionnaire-long form was used for assessment of physical activity and Perceived Stress Scale (PSS) to elicit psychological stress levels. Waist-to-height ratio (WHtR) was calculated. Total cholesterol to high-density lipoprotein ratio was calculated as the CVD risk ratio. Results 39.3% were women and 68.6% of the subjects were in junior classes. 22.4% subjects had high PSS while 30% performed low physical activity. Tobacco and alcohol intake was prevalent in 29.3% and 21.0% respectively. High CVD risk ratio was found in 14.3%. Most risk factors were more prevalent among juniors except diabetes. Among the non-overweight and non-obese subjects there was a significant positive correlation between WHtR and CVD risk score (R = 0.33, p < 0.001). 82.7% of the variance in CVD risk ratio could be explained by WHtR, Body mass index, Triglycerides and Low-density lipoprotein (F(7, 425) = 296.085), of which LDL (β = 0.755) contributed the most. Conclusions High prevalence of different modifiable CVD risk factors revealed among the subjects in this study is concerning. WHtR appears promising as an independent early predictor of CVD risk in Indian population. A dedicated CVD risk assessment tool for the young population is necessary.

scholarly journals Evaluating the effects of alcohol and tobacco use on cardiovascular disease using multivariable Mendelian randomization

2019 ◽  
Author(s):  
Daniel B. Rosoff ◽  
George Davey Smith ◽  
Nehal Mehta ◽  
Toni-Kim Clarke ◽  
Falk W. Lohoff
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Alcohol Use ◽  
Tobacco Use ◽  
Mendelian Randomization ◽  
Association Studies ◽  
Density Lipoprotein ◽  
Genome Wide Association Studies ◽  
Cvd Risk ◽  
Increased Risk

ABSTRACTAlcohol and tobacco use, two major modifiable risk factors for cardiovascular disease (CVD), are often consumed together. Using large publicly available genome-wide association studies (results from > 940,000 participants), we conducted two-sample multivariable Mendelian randomization (MR) to simultaneously assess the independent effects of alcohol and tobacco use on CVD risk factors and events. We found genetic instruments associated with increased alcohol use, controlling for tobacco use, associated with increased high-density-lipoprotein-cholesterol (HDL-C), decreased triglycerides, but not with coronary heart disease (CHD), myocardial infarction (MI), nor stroke; and instruments for increased tobacco use, controlling for alcohol use, associated with decreased HDL-C, increased triglycerides, and increased risk of CHD and MI. Exploratory analysis found associations with HDL-C, LDL-C, and intermediate-density-lipoprotein metabolites. Consistency of results across complementary methods accommodating different MR assumptions strengthened causal inference, providing strong genetic evidence for the causal effects of modifiable lifestyle risk factors on CVD risk.

scholarly journals Patterns of Immune Activation in HIV and Non HIV Subjects and Its Relation to Cardiovascular Disease Risk

2021 ◽  
Vol 12 ◽  
Author(s):  
Alinda G. Vos ◽  
Caitlin N. Dodd ◽  
Eveline M. Delemarre ◽  
Stefan Nierkens ◽  
Celicia Serenata ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Immune Activation ◽  
Hiv Positive ◽  
Inflammation Markers ◽  
Cvd Risk Factors ◽  
Immune Markers ◽  
Cvd Risk ◽  
The Impact ◽  
Hiv Negative

IntroductionInsight into inflammation patterns is needed to understand the pathophysiology of HIV and related cardiovascular disease (CVD). We assessed patterns of inflammation related to HIV infection and CVD risk assessed with carotid intima media thickness (CIMT).MethodsA cross-sectional study was performed in Johannesburg, South Africa, including participants with HIV who were virally suppressed on anti-retroviral therapy (ART) as well as HIV-negative participants who were family members or friends to the HIV-positive participants. Information was collected on CVD risk factors and CIMT. Inflammation was measured with the Olink panel ‘inflammation’, allowing to simultaneously assess 92 inflammation markers. Differences in inflammation patterns between HIV-positive and HIV-negative participants were explored using a principal component analysis (PCA) and ANCOVA. The impact of differentiating immune markers, as identified by ANCOVA, on CIMT was assessed using linear regression while adjusting for classic CVD risk factors.ResultsIn total, 185 HIV-positive and 104 HIV negative participants, 63% females, median age 40.7 years (IQR 35.4 – 47.7) were included. HIV-positive individuals were older (+6 years, p &lt;0.01) and had a higher CIMT (p &lt;0.01). No clear patterns of inflammation were identified by use of PCA. Following ANCOVA, nine immune markers differed significantly between HIV-positive and HIV-negative participants, including PDL1. PDL1 was independently associated with CIMT, but upon stratification this effect remained for HIV-negative individuals only.ConclusionHIV positive patients on stable ART and HIV negative controls had similar immune activation patterns. CVD risk in HIV-positive participants was mediated by inflammation markers included in this study.

scholarly journals Nutrients in Fish and Possible Associations with Cardiovascular Disease Risk Factors in Metabolic Syndrome

Nutrients ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 952 ◽  
Author(s):  
Christine Tørris ◽  
Milada Cvancarova Småstuen ◽  
Marianne Molin
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Fatty Acids ◽  
Fish Consumption ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Protective Role ◽  
Cvd Risk ◽  
The Impact

Non-communicable diseases (NSDs) are responsible for two-thirds of all deaths globally, whereas cardiovascular disease (CVD) alone counts for nearly half of them. To reduce the impact of CVD, targeting modifiable risk factors comprised in metabolic syndrome (e.g., waist circumference, lipid profile, blood pressure, and blood glucose) is of great importance. Beneficial effects of fish consumption on CVD has been revealed over the past decades, and some studies suggest that fish consumption may have a protective role in preventing metabolic syndrome. Fish contains a variety of nutrients that may contribute to health benefits. This review examines current recommendations for fish intake as a source of various nutrients (proteins, n-3 fatty acids, vitamin D, iodine, selenium, and taurine), and their effects on metabolic syndrome and the CVD risk factors. Fatty fish is recommended due to its high levels of n-3 fatty acids, however lean fish also contains nutrients that may be beneficial in the prevention of CVD.

scholarly journals The Association of Breakfast Frequency and Cardiovascular Disease (CVD) Risk Factors among Adolescents in Malaysia

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 973 ◽  
Author(s):  
Norashikin Mustafa ◽  
Hazreen Abd Majid ◽  
Zoi Toumpakari ◽  
Harriet Amy Carroll ◽  
Muhammad Yazid Jalaludin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Longitudinal Research ◽  
Low Density Lipoprotein ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Diet History ◽  
Malaysian Adolescents

Breakfast frequency is associated with cardiovascular disease (CVD) risk in Western populations, possibly via the types of food eaten or the timing of food consumption, but associations in Malaysian adolescents are unknown. While the timing of breakfast is similar, the type of food consumed at breakfast in Malaysia differs from Western diets, which allows novel insight into the mechanisms underlying breakfast–CVD risk associations. We investigated foods eaten for breakfast and associations between breakfast frequency and CVD risk factors in the Malaysian Health and Adolescents Longitudinal Research Team study (MyHeARTs). Breakfast (frequency of any food/drink reported as breakfast in 7-day diet history interviews) and CVD risk factors (body mass index (BMI), waist circumference, fasting blood glucose, triacylglycerol, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and systolic and diastolic blood pressure) were cross-sectionally associated using linear regression adjusting for potential confounders (n = 795, age 13 years). Twelve percent of adolescents never ate breakfast and 50% ate breakfast daily, containing mean (SD) 400 (±127) kilocalories. Commonly consumed breakfast foods were cereal-based dishes (primarily rice), confectionery (primarily sugar), hot/powdered drinks (primarily Milo), and high-fat milk (primarily sweetened condensed milk). After adjustment, each extra day of breakfast consumption per week was associated with a lower BMI (−0.34 kg/m2, 95% confidence interval (CI) −0.02, −0.66), and serum total (−0.07 mmol/L 95% CI −0.02, −0.13) and LDL (−0.07 mmol/L 95% CI −0.02, −0.12) cholesterol concentrations. Eating daily breakfast in Malaysia was associated with slightly lower BMI and total and LDL cholesterol concentrations among adolescents. Longitudinal studies and randomized trials could further establish causality.

scholarly journals Age at period cessation and trajectories of cardiovascular risk factors across mid and later life

Heart ◽  
2020 ◽  
Vol 106 (7) ◽  
pp. 499-505 ◽  
Author(s):  
Linda Marie O'Keeffe ◽  
Diana Kuh ◽  
Abigail Fraser ◽  
Laura D Howe ◽  
Debbie Lawlor ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Later Life ◽  
Glycated Haemoglobin ◽  
Lipoprotein Cholesterol ◽  
The Impact

ObjectiveTo examine the association between age at period cessation and trajectories of anthropometry, blood pressure, lipids and glycated haemoglobin (HbA1c) from midlife to age 69 years.MethodsWe used data from the UK Medical Research Council National Survey of Health and Development to examine the association between age at period cessation and trajectories of systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI) and waist circumference (WC) from 36 to 69 years and trajectories of triglyceride, low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C) and HbA1c from 53 to 69 years.ResultsWe found no evidence that age at period cessation was associated with trajectories of log triglyceride, LDL-C and HDL-C from 53 to 69 years and trajectories of SBP or DBP from 36 to 69 years, regardless of whether period cessation occurred naturally or due to hysterectomy. While we found some evidence of associations of age at period cessation with log BMI, log WC and log HbA1c, patterns were not consistent and differences were small at age 69 years, with confidence intervals that spanned the null value.ConclusionHow and when women experience period cessation is unlikely to adversely affect conventional cardiovascular risk factors across mid and later life. Women and clinicians concerned about the impact of type and timing of period cessation on conventional cardiovascular intermediates from midlife should be reassured that the impact over the long term is small.

scholarly journals Ten-Year Follow-Up of Clinical Governance Implementation in Primary Care: Improving Screening, Diagnosis and Control of Cardiovascular Risk Factors

2019 ◽  
Vol 16 (21) ◽  
pp. 4299
Author(s):  
Carina Aguilar Martín ◽  
Alessandra Queiroga Gonçalves ◽  
Carlos López-Pablo ◽  
José Fernández-Sáez ◽  
Emma Forcadell Drago ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
High Frequency ◽  
Cardiovascular Health ◽  
Density Lipoprotein ◽  
Health Indicators ◽  
Clinical Governance ◽  
And Control ◽  
The Impact

Current improvement strategies for the control of cardiovascular risk factors (CRFs) in Europe are based on quality management policies. With the aim of understanding the effect of interventions delivered by primary healthcare systems, we evaluated the impact of clinical governance on cardiovascular health after ten years of implementation in Catalonia. A cohort study that included 1878 patients was conducted in 19 primary care centres (PCCs). Audits that comprised 13 cardiovascular health indicators were performed and general practitioners received periodic (annual, biannual or monthly) feedback about their clinical practice. We evaluated improvement in screening, diagnosis and control of the main CRFs and the effects of the feedback on cardiovascular risk (CR), incidence of cardiovascular disease (CVD) and mortality, comparing baseline data with data at the end of the study (after a 10-year follow-up). The impact of the intervention was assessed globally and with respect to feedback frequency. General improvement was observed in screening, percentage of diagnoses and control of CRFs. At the end of the study, few clinically significant differences in CRFs were observed between groups. However, the reduction in CR was greater in the group receiving high frequency feedback, specifically in relation to smoking and control of diabetes and cholesterol (Low Density Lipoprotein (LDL) and High Density Lipoprotein (HDL)). A protective effect of having a cardiovascular event (hazard ratio (HR) = 0.64, 95% confidence interval (CI) = 0.44–0.94) or death (HR = 0.55, 95% CI = 0.35–0.88) was observed in patients from centres where general practitioners received high frequency feedback. Additionally, these PCCs presented improved cardiovascular health indicators and lower incidence and mortality by CVD, illustrating the impact of this intervention.

scholarly journals Association between birth weight and childhood cardiovascular disease risk factors in West Virginia

2019 ◽  
Vol 11 (1) ◽  
pp. 86-95
Author(s):  
Amna Umer ◽  
Candice Hamilton ◽  
Lesley Cottrell ◽  
Peter Giacobbi ◽  
Kim Innes ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Birth Weight ◽  
West Virginia ◽  
Disease Risk ◽  
Density Lipoprotein ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
The Relationship

AbstractThe reported associations between birth weight and childhood cardiovascular disease (CVD) risk factors have been inconsistent. In this study, we investigated the relationship between birth weight and CVD risk factors at 11 years of age. This study used longitudinally linked data from three cross-sectional datasets (N = 22,136) in West Virginia; analysis was restricted to children born full-term (N = 19,583). The outcome variables included resting blood pressure [systolic blood pressure (SBP), diastolic blood pressure (DBP)] and lipid profile [total cholesterol (TC), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, non-HDL, and triglycerides (TG)]. Multiple regression analyses were performed, adjusting for child’s body mass index (BMI), sociodemographics, and lifestyle characteristics. Unadjusted analyses showed a statistically significant association between birth weight and SBP, DBP, HDL, and TG. When adjusted for the child’s BMI, the association between birth weight and HDL [b = 0.14 (95% CI: 0.11, 0.18) mg/dl per 1000 g increase] and between birth weight and TG [b = –0.007 (–0.008, –0.005) mg/dl per 1000 g increase] remained statistically significant. In the fully adjusted model, low birth weight was associated with higher LDL, non-HDL, and TGs, and lower HDL levels. The child’s current BMI at 11 years of age partially (for HDL, non-HDL, and TG) and fully mediated (for SBP and DBP) the relationship between birth weight and select CVD risk factors. While effects were modest, these risk factors may persist and amplify with age, leading to potentially unfavorable consequences in later adulthood.

scholarly journals Risk Factors for Cardiovascular Disease (CVD) in Adults with Type 1 Diabetes: Findings from Prospective Real-life T1D Exchange Registry

2020 ◽  
Vol 105 (5) ◽  
pp. e2032-e2038 ◽  
Author(s):  
Viral N Shah ◽  
Ryan Bailey ◽  
Mengdi Wu ◽  
Nicole C Foster ◽  
Rodica Pop-Busui ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Type 1 Diabetes ◽  
Diabetic Nephropathy ◽  
The United States ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
The Impact

Abstract Context Cardiovascular disease (CVD) is a major cause of mortality in adults with type 1 diabetes. Objective We prospectively evaluated CVD risk factors in a large, contemporary cohort of adults with type 1 diabetes living in the United States. Design Observational study of CVD and CVD risk factors over a median of 5.3 years. Setting The T1D Exchange clinic network. Patients Adults (age ≥ 18 years) with type 1 diabetes and without known CVD diagnosed before or at enrollment. Main Outcome Measure Associations between CVD risk factors and incident CVD were assessed by multivariable logistic regression. Results The study included 8,727 participants (53% female, 88% non-Hispanic white, median age 33 years [interquartile ratio {IQR} = 21, 48], type 1 diabetes duration 16 years [IQR = 9, 26]). At enrollment, median HbA1c was 7.6% (66 mmol/mol) (IQR = 6.9 [52], 8.6 [70]), 33% used a statin, and 37% used blood pressure medication. Over a mean follow-up of 4.6 years, 325 (3.7%) participants developed incident CVD. Ischemic heart disease was the most common CVD event. Increasing age, body mass index, HbA1c, presence of hypertension and dyslipidemia, increasing duration of diabetes, and diabetic nephropathy were associated with increased risk for CVD. There were no significant gender differences in CVD risk. Conclusion HbA1c, hypertension, dyslipidemia and diabetic nephropathy are important risk factors for CVD in adults with type 1 diabetes. A longer follow-up is likely required to assess the impact of other traditional CVD risk factors on incident CVD in the current era.

scholarly journals Associations between Health-Related Physical Fitness and Cardiovascular Disease Risk Factors in Overweight and Obese University Staff

2020 ◽  
Vol 17 (23) ◽  
pp. 9031
Author(s):  
Jiangang Chen ◽  
Yuan Zhou ◽  
Xinliang Pan ◽  
Xiaolong Li ◽  
Jiamin Long ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Physical Fitness ◽  
Disease Risk ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
University Staff ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Health Related

Purpose: This cross-sectional study examined the associations between health-related physical fitness (HPF) and cardiovascular disease (CVD) risk factors in overweight and obese university staff. Methods: A total of 340 university staff (109 women, mean age 43.1 ± 9.7 years) with overweight (n = 284) and obesity (n = 56) were included. The HPF indicators included skeletal muscle mass index (SMI), body fat percentage (BFP), grip strength (GS), sit-and-reach test (SRT), and vital capacity index (VCI). CVD risk factors were measured, including uric acid (UA), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and glucose (GLU). Results: BFP, SMI, and GS were positively associated with UA level (β = 0.239, β = 0.159, β = 0.139, p < 0.05). BFP was positively associated with TG and TG/HDL-C levels (β = 0.421, β = 0.259, p < 0.05). GS was positively associated with HDL-C level (β = 0.244, p < 0.05). SRT was negatively associated with GLU level (β = −0.130, p < 0.05). Conclusions: In overweight and obese university staff, body composition, muscle strength, and flexibility were associated with CVD risk factors. An HPF test may be a practical nonmedical method to assess CVD risk.

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