. 2009 Feb;7(1):37–45. doi: 10.1089/met.2008.0042

Table 5.

Logistic Regression Analysis with Metabolic Syndrome Prevalence as Defined by the ATP III–Modified Criteria as the Dependent Variable and Alcohol Intake as the Independent Variable

	Cases	OR^a	(95% CI)	OR^b	(95% CI)
Alcohol categories^a
Nondrinker	659	1.00		1.00
Occasional/light	66	0.95	0.70–1.28	1.06	0.76–1.48
Moderate	216	1.06	0.88–1.28	1.11	0.90–1.38
Heavy	169	1.32	1.06–1.64	1.54	1.19–2.06
Wine^c
No	768	1.00		1.00
<1 drink/day	127	1.00	0.79–1.25	1.04	0.80–1.34
>l–3 drink/day	147	1.511	0.97–1.51	1.43	1.11–1.85
≥3 drink/day	68	2.01	1.51–2.95	2.28	1.53–34.1
Beer
No	864	1.00		1.00
<1 drink/day	175	0.93	0.76–1.14	0.97	0.77–1.22
>l–3 drink/day	57	0.96	0.67–1.33	1.19	0.82–1.74
≥3 drink/day	14	0.91	0.49–1.71	1.13	0.54–2.36
Liquor
No	979	1.00		1.00
<1 drink/day	40	1.58	1.04–2.39	1.39	0.86–2.25
>l–3 drink/day	44	0.99	0.69–1.42	0.88	0.58–1.33
≥3 drink/day	47	1.12	0.78–1.61	0.88	0.57–1.36

^{^a}

Adjusted for age, kcal/day, smoking, physical activity, education level, income level, occupation, and cardiovascular disease; analyses by type of individual drink were mutually adjusted for other types of alcoholic drinks.

^{^b}

All above plus body mass index.

^{^c}

Rice wine and grape wine combined.

Note: ATP III–Modified, U.S. Third Report of the National Cholesterol Education Program, Adult Treatment Panel.