Table 3.

Multinomial regression analysis of independent variables and risk score rural of community dwellers

Model		B	Se b	Wald	df	P value	Exp. B	95%CI
								Lower	Upper
High	Intercept	−35.641	4.315	68.208	1	.000
	Age	.257	.223	1.322	1	.250	1.292	.869	2.022
	Sex	−.013	.466	.001	1	.978	.987	.396	2.459
	Smoking status	−1.394	.946	2.172	1	.141	.248	.005	52.753
	Alcohol intake	.074	.253	.086	1	.770	1.077	.656	1.767
	Physical activity	−.086	.641	.018	1	.893	.917	.261	3.224
	Chronic illness	−2.298	22295.598	.000	1	1.000	.100	.000
	Systolic blood pressure	.154	.023	43.585	1	.000	1.166	1.114	1.221
	Diastolic blood pressure	−.003	.020	.017	1	.897	.997	.958	1.038
	Total cholesterol	−.241	.296	.666	1	.414	.786	.440	1.402
	Random blood sugar	.147	.067	4.809	1	.028	1.159	1.016	1.322
Very high
	Intercept	−63.873	22295.597	.000	1	.998
	Age	1.325	.644	4.235	1	.040	3.764	1.065	13.299
	Sex	.899	.924	.947	1	.331	2.456	.402	15.015
	Smoking status	−.661	2.361	.078	1	.779	.516	.005	52.753
	Alcohol intake	−.447	.581	.591	1	.442	.640	.205	1.998
	Physical activity	−1.332	1.197	1.237	1	.266	.264	.025	2.759
	Chronic illness	−2.298	22295.598	.000	1	1.000	.100	.000	. c
	Systolic blood pressure	.314	.050	38.929	1	.000	1.369	1.240	1.510
	Diastolic blood pressure	−.017	.043	.165	1	.684	.983	.903	1.069
	Total cholesterol	1.070	.656	2.666	1	.103	2.916	.807	10.538
	Random blood sugar	.357	.233	2.359	1	.125	1.429	.906	2.254

Dependent variable = risk score .The reference category is: low risk score.