Table 3.

Association of demographic- and lifestyle-related factors with uninvestigated dyspepsia.

		UD		χ2, df, p	Binary logistic regression (p)
		No.	%
Gender	Male	26	34.7	0.008, 1, 0.928	—
	Female	49	65.3		0.931
Age (y)	18–21	41	54.7	2.729, 2, 0.255	—
	22–25	34	45.3		0.717
	>25	0	0.0		0.999
BMI (kg/m2)	18.5–24.9 (normal)	43	57.3	5.620, 3, 0.132	—
	<18.5 (underweight)	14	18.7		0.038*
	25–30 (overweight)	16	21.3		0.456
	>30 (obese)	2	2.7		0.224
Tea intake (cups/d)	0	10	13.3	3.339, 4, 0.503	—
	1	26	34.7		0.699
	2	24	32.0		0.448
	3	8	10.7		0.827
	>3	7	9.3		0.970
Coffee intake (cups/d)	0	19	25.3	2.147, 4, 0.709	—
	1	35	46.7		0.404
	2	11	14.7		0.829
	3	6	8.0		0.165
	>3	4	5.3		0.637
Fatty food consumption (average frequency/wk)	0	0	0.0	7.312, 4, 0.120	—
	1	12	16.0		0.999
	2	28	37.3		0.999
	3	20	26.7		0.999
	>3	15	20.0		0.999
Alcohol consumption (cups/wk)	0	72	96.0	2.291, 3, 0.514	—
	1	2	2.7		0.919
	2	0	0.0		0.999
	3	0	0.0		0.999
	>3	1	1.3		0.999
Cigarettes consumption (No. of cigarettes/d)	0	67	89.3	13.560, 5, 0.019*	—
	1–5	3	4.0		0.334
	6–10	1	1.3		0.999
	11–15	0	0.0		0.999
	16–20	1	1.3		0.995
	>20	3	4.0		0.999
Waterpipe consumption (average frequency/wk)	0	60	80.0	10.400, 4, 0.034*	—
	1	8	10.7		0.526
	2	0	0.0		0.998
	3	3	4.0		0.062
	>3	4	5.3		0.401
Regular NSAIDs intake (pills/mo)	0–5	63	84.0	3.290, 4, 0.510	—
	6–10	9	12.0		0.889
	11–15	1	1.3		0.874
	16–20	2	2.7		0.196
	>20	0	0.0		1.000

BMI = body mass index; df = degree of freedom; NSAIDs = nonsteroidal antiinflammatory drugs; UD = uninvestigated dyspepsia.

^*p < 0.05; for the χ² or binary logistic regression test investigating the association between each risk factor and uninvestigated dyspepsia.