CORRELATIONS BETWEEN BODY MASS INDEX, WAIST-HIP RATIO AND WAIST CIRCUMFERENCE TO CARDIOVASCULAR RISK FACTORS IN MIAMI HISPANICS Connie Ingram*, Claudia Correa*, Maria A. Canossa-Terris*, Mary Comerford, Paul Kurlansky* INTRODUCTION *Florida Heart Research Institute, Miami, FL • Hispanics are the largest and fastest growing minority in the US, increasing from 12.5% of the US population in 2000 to 15% in 2009.1 Hispanics as a whole have the lowest rate of educational attainment2 and the rate of poverty among Hispanics in 2008 was above that of the nation’s as a whole3, though lower than that of blacks. These factors may translate into a greater risk of disease. METHODS RESULTS • Data from 727 Miami Hispanics (244 men and 483 women) age 18 and over was collected during the course of free public cardiovascular screenings. CHARATERISTICS OF THE SAMPLE MALES • Screenings were publicized through radio public service announcements, radio interviews, brochures and flyers distributed at Overweight and obesity have been associated with increased risk public health fairs and, increasingly, by word of mouth. of cardiovascular disease. Traditionally, body mass index (BMI) has been the most accepted measure. However, recent studies • No incentives were provided to participants other than a report of indicate that excess abdominal fat, measured by waist their cardiovascular risk factor profile, educational brochures and circumference (WC) or waist-hip ratio (WHR) might be a better counseling to seek further medical attention when needed. indicator of cardiovascular risk. Hispanics are known to have • A self-reported medical history was used to determine presence of disproportionately high prevalence of metabolic risk factors (BMI, coronary heart disease and medication use. Demographics were WC and lipids), so it is important to begin to characterize the similarly gathered. association between these metabolic risk factors and the risk of • Two sitting blood pressure measurements performed with a mercury cardiovascular disease. sphygmomanometer were averaged. Nationally, 64.5% of Hispanics are Mexican, 9.2% Puerto Rican, • Weight and height were measured and used to calculate body mass 3.5% Cuban, and 22.9% of other origin4. index (BMI); waist and hip circumference were measured and used to In 2005-9, 61.4% of Miami-Dade residents were Hispanic. Of calculate waist-hip ratio. these, 51.6% were Cuban, 16.3% South America, and 14.8% • Chi-square analysis was used to determine differences between BMI, Central American; only 3.4% were Mexican5. WC, WHR level among risk factors. Florida Heart Research Institute (FHRI) has been offering free cardiovascular screenings since 1998; 71.5% of those screened were Hispanics. • • • • STUDY OBJECTIVES To assess and compare the correlations of WC, WHR, and BMI with associated cardiovascular risk factors in a sample of Miami Hispanics. HISPANIC DISTRIBUTION IN MIAMI DADE COUNTY 3% 16% South America Central America 15% Caribbean Cuba 52% Dyslipidemia: Total cholesterol ≥ 240mg/dl LDL ≥130mg/dl HDL ≤40mg/dl Triglycerides ≥150mg/dl Or on lipid lowering medications Mexico Diabetes mellitus: Fasting glucose levels ≥ 126 mg/dl Or use of diabetes medications 14% HISPANIC DISTRIBUTION IN STUDY SAMPLE 10% 1% 4% Adiposity Indices Body Mass Index (BMI): Normal: <25 Overweight/obesity: ≥ 25 South America Central America Caribbean 20% Cuba 65% 1US Waist Circumference (WC): Males: <40 inches Females: <35 inches Mexico Waist-hip ratio (WHR): Males: <0.95 Females: <0.88 Census Bureau, 2000 Census and 2009 American Community Survey (ACS). Dept. of Education, National Center for Educational Statistics, Educational Statistics 2007 and US Census Bureau, (2007) Current Population Survey. 3University of Michigan, National Poverty Center, “Poverty in the United States”, http://www.npc.umich.edu/poverty/ 4US Census Bureau, 2005-09 ACS 5 US Census Bureau, 2005-09 American Community Survey (ACS). 2US N=727 (%) Male 33.6 Female 66.4 Mean age -male 40.6 Mean age -female 41.7 Single 23.9 Married 54.1 Divorced/Widowed 16.0 Regular exercise Uninsured BMI <25 N=40 (%) Risk Factor FEMALES BMI ≥25 N=204 (%) pvalue BMI <25 N=137 (%) BMI ≥25 N=346 (%) pvalue Cholesterol ≥240 20.0 18.1 .781 18.2 21.4 .441 LDL ≥130 48.7 52.0 .710 51.5 54.7 .534 HDL ≤ 40 47.5 62.7 .072 14.6 25.7 .008 10.0 19.6 .148 1.5 10.7 .001 12.5 13.2 .900 0.7 4.0 .029 83.2 BP≥140/90 or on HTN meds Glucose ≥ 126 or on diabetic meds 92.3 Triglycerides ≥ 150 27.5 41.2 .105 13.9 28.9 <.001 BMI ≥ 25 was associated in women with elevated triglycerides (≥150; p <.001), hypertension (BP ≥140/90 or hypertension meds; p=.001) and high glucose (≥126 or diabetes meds; p <.029). No significant association was seen in men. CARDIOVASCULAR RISK FACTORS ACCORDING TO WAIST-HIP-RATIO CARDIOVASCULAR RISK FACTORS ACCORDING TO WAIST CIRCUMFERENCE DEFINITION OF RISK FACTORS Hypertension: Hypertension: SBP ≥140 or DBP≥ 90 and/or use of antihypertensive medications CARDIOVASCULAR RISK FACTORS ACCORDING TO BMI MALES Risk Factor WC <40 N=188 (%) FEMALES WC ≥40 N=56 (%) pvalue WC <35 N=232 (%) MALES WC ≥35 pN=251 value (%) Risk Factor FEMALES WHR <.95 WHR≥.95 pN=186 N=58 value (%) (%) WHR <.88 N=315 (%) WHR >.88 pN=168 value (%) Cholesterol ≥240 19.7 14.3 .361 17.7 3.1 .139 Cholesterol ≥240 18.3 19.0 .906 18.4 23.8 .188 LDL ≥130 52.4 48.2 .582 53.3 54.2 .837 LDL ≥130 53.0 46.6 .393 53.2 54.8 .786 HDL ≤ 40 55.9 75.0 .010 16.8 27.9 .004 HDL ≤ 40 57.5 42.5 .120 17.1 32.7 <.001 BP ≥140/90 or on HTN meds 15.4 26.8 .052 3.0 12.7 <.001 BP ≥140/90 or on HTN meds 16.1 24.1 .166 6.7 10.7 .120 Glucose ≥ 126 or on diabetic meds 10.6 21.4 .036 0.9 6.4 .001 Glucose ≥ 126 or on diabetic meds 9.1 25.9 <.001 1.0 8.9 <.001 Triglycerides ≥ 150 36.7 38.9 .190 15.1 33.5 <.001 Triglycerides ≥150 39.2 37.9 .858 18.4 36.3 <.001 Waist Circumference, ≥ 35”, in women was found to be significantly correlated to high triglycerides, hypertension (p < .001), high glucose (p = .001), and low HDL (≤40; p=.004). Among men, WC ≥40”, was associated with low HDL (p=.010) and high glucose (p=.036.) In women WHR ≥.88, was associated with high triglycerides and glucose and low HDL, for all (p<.001). In men, WHR ≥0.95 was only significantly associated with high glucose (p<.001). CONCLUSIONS • In this unadjusted, pilot data analysis of Miami Hispanics, WC and WHR appeared to be more correlated with cardiovascular risk factors than BMI. • These results are interesting and suggest that WC and WHR could be important standard anthropometric measures that may help to identify patients at risk of cardiovascular disease who might otherwise not receive healthy lifestyle because of normal BMI. • A larger study powered to demonstrate these associations and control for confounders is needed. This study funded by Florida Heart Research Institute.
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