Relationship between food group-specific intake and depression among local government employees in Japan

BMC Nutrition

Table 6 Relationship between food group-specific intake and depression (Women)

Food group		Women (n=172)
		Number of women with depression (%)		Model I^a			Model II^b
		Number of women with depression (%)		Odds ratio (95% confidence interval)		p for trend	Odds ratio (95% confidence interval)		p for trend
Potatoes	Low-intake group	25	(36.8)	0.68	(0.28–1.66)	0.469	0.68	(0.28–1.66)	0.300
	Moderate-intake group	19	(31.0)	0.60	(0.25–1.46)		0.60	(0.25–1.46)
	High-intake group	17	(35.1)	1.00			1.00
Other vegetables	Low-intake group	28	(40.4)	2.86	(1.11–7.36)	0.013	2.86	(1.11–7.36)	0.011
	Moderate-intake group	17	(41.4)	2.72	(1.09–6.82)		2.72	(1.09–6.82)
	High-intake group	16	(21.2)	1.00			1.00
Meat	Low-intake group	25	(35.1)	1.44	(0.76–2.71)	0.789	0.92	(0.38–2.24)	0.558
	Moderate-intake group	17	(41.4)	0.90	(0.42–1.95)		1.03	(0.44–2.44)
	High-intake group	16	(21.2)	1.00			1.00
Eggs	Low-intake group	32	(36.8)	1.97	(0.87–4.48)	0.060	2.68	(1.07–6.70)	0.037
	Moderate-intake group	12	(43.1)	2.56	(1.14–5.75)		2.59	(1.06–6.33)
	High-intake group	17	(22.8)	1.00			1.00

Food group-specific intake (g) is adjusted for energy intake using the residual method; food group-specific intake is classified into three groups (low-intake group, moderate-intake group, high-intake group)
^aModel I: not adjusted for background factors
^bModel II: adjusted for age, sleep hours, regular exercise, alcohol consumption, smoking
Multiple logistic regression analysis; Dependent variable: presence or absence of depression; Significance level <0.05 (two-sided test)

ISSN: 2055-0928