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Table 1 Proportion of CAM use related to demographic and diabetic related data and the statistical significance of these factors

From: The use of complementary and alternative medicine among people living with diabetes in Sydney

Demographic Factors

Category

Using CAM

No CAM Use

P Value

Male

17/35 (49%)

18/35 (51%)

 

Female

15/34 (43%)

19/34 (57%)

0.867

Australian born

17/45(38%)

28/45 (62%)

 

Overseas born

15/24(63%)

9/24 (37%)

0.044*

Working

15/29(52%)

14/29(48%)

 

Not Working

17/40 (43%)

23/40(57%)

0.419

Income < $1000/wk

21/44 (47%)

23/44(53%)

 

Income > 1000/wk

11/20 (55%)

9/20 (45%)

0.948

Tertiary Qualifications

11/20 (55%)

9/20 (45%)

 

Other Qualifications

21/44(48%)

24/44 (52%)

0.633

Married

15/35(43%)

20/35(57%)

 

Not Married

17/33(51%)

16/33(49%)

0.832

Diabetes-specific Data

Category

Using CAM

No CAM Use

P Value

Type 2 DM

24/50(48%)

26/50(52%)

0.704

Type 1 DM

5/14(36%)

9/14 (64%)

 

> 10 yrs Duration

14/30 (47%)

16/30 (53%)

0.603

< 10 yrs duration

17/32 (53%)

15/32 (47%)

 

Complications

17/31 (55%)

14/31 (45%)

0.325

No Complications

14/33 (42%)

19/33(58%)

 

Oral Meds/insulin

30/64(47%)

34/64(53%)

0.408

Diet/exercise only

1/4 (25%)

3/4 (75%)

 

HbA1C < 10

23/45(51%)

22/45 (49%)

0.180

HbA1c > 10

9/21(43%)

12/21(57%)

 
  1. *Statistical Significance of Difference P ≤ 0.05