Table 4

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

* 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.

† unadjusted or crude odds ratio.

‡ 95% confidence interval.

§ 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.

|| Excellent/Very Good/Good.

Nahin et al.

Nahin et al. BMC Complementary and Alternative Medicine 2012 12:193   doi:10.1186/1472-6882-12-193

Open Data