Table. 7.

Logistic regression analysis on the cardiovascular risk factors and metabolic syndrome

Variable Metabolic syndrome
Male Female
Univariablea Multivariableb Univariablea Multivariableb
OR (95% CI) P-value OR (95% CI) P-value OR (95% CI) P-value OR (95% CI) P-value
Age (y)
40–49 Ref. Ref. Ref. Ref.
50–59 1.295 (0.948–1.770) 0.104 1.466 (1.028–2.090) 0.035 2.450 (1.741–3.449) <0.001 2.802 (1.952–4.022) <0.001
≥60 1.636 (1.235–2.168) 0.001 2.626 (1.898–3.634) <0.001 7.656 (5.737–10.215) <0.001 10.457 (7.757–14.097) <0.001
Cigarette smoking
No Ref. Ref. Ref.
Yes 1.391 (1.077–1.797) 0.012 1.269 (0.962–1.672) 0.091 0.816 (0.578–1.153) 0.248
Alcohol drinking
No Ref. Ref. Ref. Ref.
Yes 1.499 (1.185–1.896) 0.001 1.482 (1.138–1.930) 0.004 0.695 (0.521–0.928) 0.014 0.979 (0.687–1.394) 0.904
Obesity
No Ref. Ref. Ref. Ref.
Yes 6.438 (5.048–8.211) <0.001 4.538 (3.432–6.001) <0.001 7.398 (5.962–9.180) <0.001 5.316 (4.032–7.009) <0.001
Neck circumference (cm, male/female)
<38/<33 Ref. Ref. Ref. Ref.
≥38/≥33 4.559 (3.760–5.528) <0.001 2.390 (1.888–3.026) <0.001 5.197 (4.255–6.347) <0.001 2.919 (2.269–3.757) <0.001

OR, odds ratio; CI, confidence interval; Ref., reference.

aUnivariable: univariable logistic regression analysis. bMultivariable: multivariable logistic regression analysis among statistically significant variables.

Korean J Fam Pract 2022;12:193~200 https://doi.org/10.21215/kjfp.2022.12.3.193
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