Gender specific association of ABCA1 gene R219K variant in coronary disease risk through interactions with serum triglyceride elevation in Turkish adults

2013 ◽  
Author(s):  
Neslihan Coban ◽  
Altan Onat ◽  
Evrim Komurcu Bayrak ◽  
Cagri Gulec ◽  
Gunay Can ◽  
...  
Keyword(s):  
Coronary Disease ◽  
Disease Risk ◽  
Serum Triglyceride ◽  
Abca1 Gene ◽  
Specific Association ◽  
Gender Specific

Gender-specific, Lifestyle-related Factors and 10-year Cardiovascular Disease Risk; the ATTICA and GREECS Cohort Studies

2019 ◽  
Vol 17 (4) ◽  
pp. 401-410 ◽  
Author(s):  
Matina Kouvari ◽  
Demosthenes B. Panagiotakos ◽  
Christina Chrysohoou ◽  
Ekavi Georgousopoulou ◽  
Venetia Notara ◽  
...  
Keyword(s):  
Recurrent Events ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Related Factors ◽  
Physically Active ◽  
Men And Women ◽  
Coronary Syndrome ◽  
Specific Association ◽  
Stratified Analysis ◽  
Gender Specific

Background: Lifestyle remains a huge driving force of Cardiovascular Diseases (CVD) onset/ progression. Lifestyle-patterns are highly dependent on gender-related attitudes. Objective: To evaluate the gender-specific association of lifestyle-related factors (adherence to Mediterranean diet (MedDiet), Physical Activity (PA), smoking) with 10-year first and recurrent CVD events. Methods: Two prospective studies, the ATTICA (2002-2012, n=3,042 subjects free-of-CVD) and GREECS (2004-2014, n=2,172 subjects with Acute Coronary Syndrome (ACS)) were undertaken. Baseline adherence to MedDiet (MedDietScore <27/≥27, range 0-55), PA (sedentary/physically active) and smoking (current/never) was tested against 10-year first (ATTICA) and recurrent (GREECS) CVD events, in men and women. Results: The “superiority” of men over women regarding overall CVD events was revealed in both first (ATTICA, 19.7% men vs. 11.7% women, p<0.001) and recurrent CVD events, but less significantly (GREECS, 38.8% men vs. 32.9% women, p=0.016). Gender-stratified analysis revealed that: lower adherence to MedDiet in women (Odds Ratio (OR)=1.22, 95% Confidence Interval (95%CI) 1.03, 1.51) and PA (OR=1.35, 95%CI 1.01, 1.85) and smoking (OR=1.28, 95%CI 1.04, 1.82) in men, were independent predictors of 10-year first CVD event; whereas, adherence to MedDiet (OR=1.28, 95%CI 1.01, 1.59), PA (OR=1.25, 95%CI 1.01, 2.50) and smoking (OR=1.15, 95%CI 1.01, 1.30) in women, yet only adherence to MedDiet (OR=1.27, 95%CI 1.01, 1.35) and PA (OR=1.27, 95%CI 1.02, 1.59) in men, were independent predictors of 10-year CVD recurrent events. Conclusion: Differences between men and women, in the effect-size measures of lifestyle-related factors, underline different paths for men and women, probably contributing to better designing strategies for primary and secondary CVD prevention.

Irregular Menses Linked To Coronary Disease Risk

Ob Gyn News ◽  
2007 ◽  
Vol 42 (24) ◽  
pp. 1-7
Author(s):  
MITCHEL L. ZOLER
Keyword(s):  
Coronary Disease ◽  
Disease Risk ◽  
Irregular Menses

Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach

1999 ◽  
Vol 15 (3) ◽  
pp. 275-297 ◽  
Author(s):  
F. Azuaje ◽  
W. Dubitzky ◽  
P. Lopes ◽  
N. Black ◽  
K. Adamson ◽  
...  
Keyword(s):  
Neural Network ◽  
Coronary Disease ◽  
Disease Risk ◽  
Network Approach ◽  
Short Term ◽  
Neural Network Approach ◽  
Rr Interval

Coronary disease risk assessment in men: Comparison between ASCVD Risk versus Framingham

2017 ◽  
Vol 228 ◽  
pp. 481-487 ◽  
Author(s):  
Natália Maria Maciel Guerra-Silva ◽  
Fernanda Sene Santucci ◽  
Ricardo Castanho Moreira ◽  
Cristiano Massao Tashima ◽  
Simone Cristina Castanho Sabaini de Melo ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Coronary Disease ◽  
Disease Risk ◽  
Ascvd Risk

scholarly journals Lean Yet Unhealthy: Asian American Adults Had Higher Risks for Metabolic Syndrome than Non-Hispanic White Adults with the Same Body Mass Index: Evidence from NHANES 2011–2016

Healthcare ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1518
Author(s):  
Lin Zhu ◽  
Wei J. Yang ◽  
Cody B. Spence ◽  
Aisha Bhimla ◽  
Grace X. Ma
Keyword(s):  
Metabolic Syndrome ◽  
Asian American ◽  
Binary Logistic Regression ◽  
Overweight And Obesity ◽  
Asian Populations ◽  
Specific Association ◽  
White Adults ◽  
Gender Specific ◽  
Predicted Risk ◽  
Hispanic White

(1) Background: Despite having consistently lower rates of obesity than other ethnic groups, Asian Americans (AAs) are more likely to be identified as metabolically obese, suggesting an ethnic-specific association between BMI and cardiometabolic outcomes. The goal of this study was to provide an estimate of metabolic syndrome (MetS) prevalence among AAs using national survey data and to compare this rate to that of non-Hispanic Whites (NHWs) over the BMI continuum. (2) Methods: Using the NHANES 2011–2016 data, we computed age-adjusted, gender-specific prevalence of MetS and its individual components for three BMI categories. Furthermore, we conducted multivariate binary logistic regression to examine the risk of MetS in AAs compared to NHWs, controlling for sociodemographic and lifestyle factors. The analysis sample consisted of 2121 AAs and 6318 NHWs. (3) Results: Among AAs, the prevalence of MetS and its components increased with higher BMI levels, with overall prevalence being 5.23% for BMI < 23, 38.23% for BMI of 23–27.4, and 77.68% for BMI ≥ 27.5 in men; and 18.61% for BMI < 23, 47.82% for BMI of 23–27.4, and 67.73% for BMI ≥ 27.5 in women. We also found that for those with a BMI > 23, AAs had a higher predicted risk of MetS than their NHW counterparts of the same BMI level, in both men and women. (4) Conclusions: Our findings support the use of lower BMI ranges for defining overweight and obesity in Asian populations, which would allow for earlier and more appropriate screening for MetS and may better facilitate prevention efforts.

EPIDEMIOLOGICAL STUDY OF CORONARY DISEASE RISK FACTORS: 1. STUDY DESIGN AND CHARACTERISTICS OF INDIVIDUAL STUDY SUBJECTS12

1968 ◽  
Vol 87 (1) ◽  
pp. 73-86 ◽  
Author(s):  
LEN HUGHES ANDRUS ◽  
DAVID C. MILLER ◽  
REUEL A. STALLONES ◽  
S. PAUL EHRLICH ◽  
JOHN PAUL JONES
Keyword(s):  
Risk Factors ◽  
Epidemiological Study ◽  
Coronary Disease ◽  
Study Design ◽  
Disease Risk ◽  
Individual Study
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