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Table 4 Associations of socio-demographic and health status variables with use of complementary medicine (CM)* to treat/manage type-2 diabetes

From: Disease severity is associated with the use of complementary medicine to treat or manage type-2 diabetes: data from the 2002 and 2007 National Health Interview Survey

 

UOR†

95% CI‡

AOR§

95% CI‡

Age group

    

Age 18–44 yrs

Ref

 

Ref

 

Age 45–64 yrs

0.89

.48-1.63

1.16

.56-2.37

Age 65+ yrs

0.52

.27-.99

0.76

.36-1.59

Race/ethnicity

    

NH White

Ref

 

Ref

 

NH Black

0.69

.38-1.26

0.76

.39-1.46

Hispanic

1.71

1.05-2.81

1.39

.83-2.33

Other races

1.98

.83-4.72

1.49

.63-3.55

Region of residence

    

Northeast

0.3

.14-.66

0.30

.14-.63

Midwest

0.34

.18-.65

0.32

.16-.62

South

0.41

.24-.68

0.40

.25-.65

West

Ref

 

ref

 

Other health conditions §

    

0-2

Ref

 

ref

 

3 or more

1.75

1.12-2.73

1.72

1.01-2.93

BMI Level

    

BMI 0 - < 25

Ref

 

ref

 

BMI 25 - < 30

1.91

.93-3.93

1.91

.91-4.02

BMI >= 30

2.63

1.38-5.02

2.32

1.12-4.81

Vigorous leisure activity

    

Unable to do or none

0.58

.34-.98

0.68

.40-1.13

Any per week

Ref

 

ref

 

Perceived health status

    

Fair/poor

0.56

.36-.86

0.52

.32-.84

Exc/VG/Good||

Ref

 

Ref

 

Year of survey

    

2002

NA

 

Ref

 

2007

NA

 

0.66

.42-1.04

  1. * CM use, the dependent variable for this study, was defined as use of any of the following in the past 12 months: acupuncture, Ayurveda, biofeedback, chelation therapy, chiropractic care, chiropractic or osteopathic manipulation, energy healing therapy/Reiki, folk medicine, hypnosis, massage therapy, movement based therapies, naturopathy, herbal supplements and other non-vitamin/non-mineral dietary supplements (NVNMDS), homeopathic treatment, diet-based therapies, traditional healers, yoga, tai chi, qi gong, and relaxation techniques.
  2. † unadjusted or crude odds ratio.
  3. ‡ 95% confidence interval.
  4. § Adjusted Odds Ratio. The model controls for socio-demographic and health status variables significantly associated (p < 0.1) with the dependent variable in Table 2: race/ethnicity, region of residence, number of co-morbid conditions, BMI level, presence of coronary heart disease, the ability to perform vigorous leisure activity at least once per week and perceived health status, as well as for year of survey.
  5. || Excellent/Very Good/Good.