International Scholarly Research Notices / 2012 / Article / Tab 2

Research Article

The Association between Metabolic Syndrome-Related Indicators and Ten-Year Risk of Cardiovascular Disease: An Epidemiologic Assessment

Table 2

Demographic characteristics of study participants, metabolic syndrome-related indicators, and predicted 10-year risk for CVD ( 𝑛 = 8 3 1 ).

Variable10-year risk for CVD
≦10%11–20%>20% 𝑃 value

Sex<.001
 Male72 (21.1)161 (47.2)108 (31.7)
 Female424 (86.5)56 (11.4)10 (2.0)

Age<.001
 <65285 (82.1)49 (14.1)13 (3.7)
 ≧65211 (43.6)168 (34.7)105 (21.7)

Smoking<.001
 Noa469 (64.7)167 (23.0)89 (12.3)
 Yes27 (25.5)50 (47.2)29 (27.4)

Alcohol consumption<.001
 Nob454 (63.1)170 (23.6)96 (13.3)
 Yes42 (37.8)47 (42.3)22 (19.8)

Betel-nut chewing<.001
 Noc482 (61.3)194 (24.7)110 (14.0)
 Yes14 (31.1)23 (51.1)8 (17.8)

Regular exercise.183
 No245 (59.0)118 (28.4)52 (12.5)
 Yesd251 (60.3)99 (23.8)66 (15.9)

Waist circumference (cm).652
 Normal295 (58.5)137 (27.2)72 (14.3)
 Abdominal obesitye201 (61.5)80 (24.5)46 (14.1)

Blood pressure (mmHg)<.001
 Normal204 (76.1) 57 (21.3) 7 (2.6)
 Hypertensionf292 (51.9)160 (28.4)111 (19.7)

Fasting plasma glucose (mg/dL).023
 Normal396 (62.3)156 (24.5)84 (13.2)
 Hyperglycemiag100 (51.3)61 (31.3)34 (17.4)

HDL-C(mg/dL).026
 Normal298 (58.9)146 (28.9)62 (12.3)
 Low high-density lipoprotein cholesterolh198 (60.9)71 (21.8)56 (17.2)

Triglycerides (mg/dL).009
 Normal381 (62.9)145 (23.9)80 (13.2)
 Hypertriglyceridemiai115 (51.1)72 (32.0)38 (16.9)

Metabolic syndrome.003
 Not present354 (63.0)143 (25.4)65 (11.6)
 Presentj142 (52.8) 74 (27.5)53 (19.7)

aNever smoked or has quit.
bNever drinks or has quit.
cNever chews betel nut, or has quit.
d≥ at least 3 times/week for at least 30 mins/session.
eMale: ≧90 cm; female: ≧80 cm.
f≧130/85 mmHg or taking antihypertensive medication.
g≧110 mg/dL or taking medication to lower blood glucose.
hMale: <40 mg/dL; female <50 mg/dL.
i≧150 mg/dL.
jMetabolic syndrome definition of NCEP ATP III with modification for Asian populations.*The Chi-square (two-tailed) test was used to compare the variables, with a significance level of 𝛼 = . 0 5 .

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