Table 4

Univariate and multivariate logistic regression model for explanatory variables

Variable	Classification	Not ready	P value*	P value†	OR	95% CI
Firefighter/police officer	Firefighter (ref.)	17.7%
	Police officer	28.8%	<0.001	<0.001	1.50	1.27 to 1.77
Sex and age group	Female≤30 years (ref.)	11.5%
	Female>30 years	16.8%	0.036	0.597	1.12	0.73 to 1.74
	Male≤30 years	16.2%	0.027	0.024	1.52	1.06 to 2.19
	Male 31–40 years	26.1%	<0.001	<0.001	2.03	1.43 to 2.89
	Male>40 years	37.9%	<0.001	<0.001	2.55	1.79 to 3.62
Waist circumference	Normal (ref.)	18.8%
	Increased‡	36.7%	<0.001	<0.001	1.63	1.45 to 1.83
Physical activity	300 min/week (ref.)	19.2%
	≥150 min/week	26.8%	<0.001	<0.001	1.31	1.14 to 1.51
	<150 min/week	35.6%	<0.001	<0.001	1.67	1.44 to 1.93
Smoking	No (ref.)	25.8%
	Yes	41.1%	<0.001	<0.001	1.75	1.45 to 2.12
Alcohol consumption	Low risk (ref.)	25.4%
	Moderate to severe risk §	39.8%	<0.001	<0.001	1.44	1.22 to 1.70
Hypertension	No (ref.)	24.5%
	Yes	57.5%	<0.001	<0.001	2.29	1.88 to 2.79
Dyslipidaemia	No (ref.)	25.9%
	Yes	60.9%	<0.001	<0.001	2.65	1.96 to 3.58
Diabetes mellitus	No (ref.)	26.4%
	Yes	66.7%	<0.001	<0.001	2.95	1.85 to 4.70
Heart disease	No (ref.)	26.7%
	Yes	49.4%	<0.001	0.002	2.13	1.32 to 3.45
Psychiatric diseases	No (ref.)	26.6%
	Yes	35.8%	<0.001	0.039	1.33	1.02 to 1.74
Total cholesterol	≤190 mg/dL (ref.)	18.2%
	>190 mg/dL	36.1%	<0.001	<0.001	2.16	1.93 to 2.42

*Univariate logistical regression model and Wald test, p<0.05.
†Multivariate logistical regression model and Wald test, p<0.05.
‡Women≥80 cm; men≥94 cm.
§Excessive consumption of alcoholic beverages: Alcohol Use Disorders Identification Test–Concise score≥4 (men), ≥3 (women).
Ref., Reference group.