Table 3. Logistic regression analysis of factors influencing metabolic syndrome after the disaster among 20,920 participants.

	Men (8,810)		Women (12,110)
	Odds ratio (95% CI)	p value	Odds ratio (95% CI)	p value
Age (1-year increase)	1.04 (1.03–1.05)	< 0.01	1.06 (1.05–1.07)	< 0.01
Evacuation (ref: non-evacuation)	1.07 (0.96–1.20)	0.19	1.00 (0.86–1.15)	0.94
Smoking (ref: non-smoker)
Current smoker	0.97 (0.84–1.12)	0.65	1.04 (0.77–1.39)	0.81
Quit smoker	1.30 (1.14–1.48)	< 0.01	1.60 (1.23–2.07)	< 0.01
Alcohol intake (ref: non-drinker)
< 44 g/day	0.86 (0.76–0.97)	0.01	0.71 (0.61–0.84)	< 0.01
≥ 44 g/day	0.97 (0.84–1.12)	0.68	0.65 (0.37–1.14)	0.13
Physical activity (ref: every day)
< 4 times a week	1.23 (1.07–1.41)	< 0.01	1.42 (1.15–1.75)	< 0.01
Change of job (ref: no change)	0.98 (0.87–1.10)	0.73	0.98 (0.83–1.15)	0.78
Unemployment (ref: no)	1.04 (0.91–1.20)	0.57	1.16 (0.97–1.40)	0.11
Sleep dissatisfaction (ref: yes)	1.02 (0.91–1.14)	0.75	0.94 (0.81–1.10)	0.45
Psychological distress (ref: K6 < 13)	0.93 (0.77–1.12)	0.46	0.89 (0.72–1.09)	0.25
Post-traumatic stress disorder (ref: PCL-S < 44)	1.12 (0.95–1.31)	0.17	1.29 (1.08–1.55)	< 0.01

Logistic regression analysis was used (dependent variable: metabolic syndrome, independent variable of interest: presence versus absence of each lifestyle factor, adjustment variables: age and sex). CI, confidence interval; K6, Kessler 6-item scale; PCL-S, Post-traumatic Stress Disorder Checklist.