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)

Adams et al. BMC Complementary and Alternative Medicine 2011 11:2   doi:10.1186/1472-6882-11-2