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ORIGINAL RESEARCH

Metabolic Syndrome Among Adults in New York City, 2004 New York City Health and Nutrition Examination Survey

Comorbid condition Overall Men Women
% 95% CI % 95% CI % 95% CI
Diabetes 69.4 57.1-79.5 70.2 56.8-80.9 66.4 49.7-79.8
Hypertension 55.9 46.2-65.2 41.2 29.3-54.2 77.0 63.9-86.4
High LDL cholesterol 47.0 39.2-55.0 40.0 30.6-50.2 56.3 44.5-67.3
Obesity 49.7 44.0-55.5 47.4 38.7-56.2 50.7 42.6-58.7
No comorbidity 7.1 4.7-10.7 6.2 3.3-11.5 7.5 4.3-12.7

Figure 1. Age-adjusted prevalence of metabolic syndrome according to comorbid diagnosis, 2004 New York City Health and Nutrition Examination Survey. Error bars represent 95% confidence intervals. Abbreviations: LDL, low-density lipoprotein.

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Characteristic Adjusted Prevalence, %
BMI, kg/m2
Low/normal (<24.9) 6
Overweight (25.0-29.9) 27
Obese (≥30) 48
Age (years)
20-29 9
30-39 20
40-49 20
50-59 31
≥60 44
Smoking status
Never 22
Current 35
Former 22
Race/ethnicity
Black 22
White 23
Hispanic 26
Asian 35

Figure 2. Adjusted prevalence (predicted marginals) of metabolic syndrome by race/ethnicity, smoking status, age, and body mass index (BMI), 2004 New York City Health and Nutrition Examination Survey. BMI (kg/m2) categories were defined as underweight (low), <18.5; normal, 18.5-24.9; overweight, 25.0-29.9; and obese, ≥30. Each estimate is adjusted for sex, alcohol use, the interaction between sex and alcohol use, and all other variables in figure. Error bars represent 95% confidence intervals.

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Level of alcohol use Adjusted prevalence among men % Adjusted prevalence among women %
Heavy 31 13
Moderate 21 25
Low/none 18 34

Figure 3. Adjusted prevalence (predicted marginals) of metabolic syndrome by sex and level of alcohol use, 2004 New York City Health and Nutrition Examination Survey. Alcohol use was defined as heavy (>2 drinks/day during the past year for men or >1 drink/day for women); moderate (less frequent use); or low/none (no drinking in the past year). Each estimate is adjusted for body mass index, age, smoking, and race/ethnicity. Error bars represent 95% confidence intervals.

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The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.

 
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