Relationships between Obesity and Cardiovascular Diseases in Four Southern States and Colorado

Obesity is among the leading causes of elevated cardiovascular disease (CVD) mortality and morbidity. In the present study, the associations between the increase in body mass index (BMI) and the increase rates of CVD and high blood pressure (HBP) in the states of Mississippi, Alabama, Louisiana, Tennessee, and Colorado are examined using regression analysis and by means of neural network models for obesity and HBP. Data from Behavioral Risk Factor Surveillance System were obtained and analyzed for obesity rates, percent of myocardial infarction, stroke, and HBP from 2005-2009. Results of this study showed a low association between obesity and myocardial infarction rates (R2=0.067); a moderate association with stroke rates ((R2=0.462); and a strong association with HBP rates ((R2=0.811). The highest rates of obesity, CVD, and HBP were found in Mississippi, while Colorado had the lowest rates. Maintaining healthy weight helps reduce the risks of developing CVD.

[1]  HELEN B. HUBERT,et al.  Obesity as an Independent Risk Factor for Cardiovascular Disease: A 26‐year Follow‐up of Participants in the Framingham Heart Study , 1983, Circulation.

[2]  Laurene V. Fausett,et al.  Fundamentals Of Neural Networks , 1994 .

[3]  M. Ringnér,et al.  Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks , 2001, Nature Medicine.

[4]  Thomas N Robinson,et al.  Cardiovascular Health in Childhood: A Statement for Health Professionals From the Committee on Atherosclerosis, Hypertension, and Obesity in the Young (AHOY) of the Council on Cardiovascular Disease in the Young, American Heart Association , 2002, Circulation.

[5]  O. Lund,et al.  novel sequence representations Reliable prediction of T-cell epitopes using neural networks with , 2003 .

[6]  J. Janosky,et al.  Early signs of cardiovascular disease in youth with obesity and type 2 diabetes. , 2005, Diabetes care.

[7]  S. Yusuf,et al.  Obesity and the risk of myocardial infarction in 27 000 participants from 52 countries: a case-control study , 2005, The Lancet.

[8]  C. Block,et al.  Mechanisms linking obesity with cardiovascular disease , 2006, Nature.

[9]  T. Reinehr,et al.  Long-term follow-up of cardiovascular disease risk factors in children after an obesity intervention. , 2006, The American journal of clinical nutrition.

[10]  Thomas D. Giles,et al.  Obesity and Cardiovascular Disease: Pathophysiology, Evaluation, and Effect of Weight Loss , 2006, Arteriosclerosis, thrombosis, and vascular biology.

[11]  Comparison of forecasting methodologies using egg price as a test case. , 2006, Poultry science.

[12]  J. Connell,et al.  The link between abdominal obesity, metabolic syndrome and cardiovascular disease. , 2007, Nutrition, metabolism, and cardiovascular diseases : NMCD.

[13]  D. Allison,et al.  Waist Circumference and Cardiometabolic Risk , 2007, Diabetes Care.

[14]  D. Allison,et al.  Waist circumference and cardiometabolic risk : a consensus statement from Shaping America ’ s Health : Association for Weight Management and Obesity Prevention , 2007 .

[15]  RebeccaDin-Dzietham,et al.  High Blood Pressure Trends in Children and Adolescents in National Surveys, 1963 to 2002 , 2007 .

[16]  R. W. McClendon,et al.  Artificial neural networks for automated year-round temperature prediction , 2009 .

[17]  C. Lavie,et al.  Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. , 2009, Journal of the American College of Cardiology.

[18]  H A Ahmad,et al.  Poultry growth modeling using neural networks and simulated data. , 2009, The Journal of applied poultry research.

[19]  Konstantina S. Nikita,et al.  A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context , 2010, BMC Bioinformatics.

[20]  S. Gahagan,et al.  Overweight and Obesity , 2011 .

[21]  J. LaFountain.  Inc. , 2013, American Art.