Table 4.

Diagnoses by CAM user status (consulted with a CAM practitioner or not)

		Urban		Rural		Remote
Diagnoses		CAM non-user	CAM user	CAM non-user	CAM user	CAM non-user	CAM user
		(n = 2,960)	(n = 1,157)	(n = 4,011)	(n = 1,866)	(n = 308)	(n = 131)
Diabetes	% yes	26	26	27	26	31	24
Arthritis■ 1 2	% yes	34	40	35	41	33	36
Heart Disease	% yes	6	6	7	7	8	7
Hypertension■ 2	% yes	32	32	38	33	41	32
Low iron level■ 1	% yes	30	36	28	32	26	34
Asthma■	% yes	19	21	19	21	18	20
Bronchitis/emphysema■	% yes	18	20	17	19	13	18
Osteoporosis■ 1 2 3	% yes	11	15	9	11	5	11
Breast cancer	% yes	5	6	5	5	3	4
Cervical cancer	% yes	3	3	3	3	2	2
Skin cancer■ 3	% yes	20	21	21	24	19	33
Other cancer	% yes	4	5	5	5	4	3

Note: chi-square tests used to test for statistically significant associations.

^■ Statistically significant association for CAM user status (i.e. ignoring place of residence) (P < .005)

¹ Statistically significant association for urban residents (P < .005)

² Statistically significant association for rural residents (P < .005)

³ Statistically significant association for remote residents (P < .05)