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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