Research Article

Patterns and Determinants of Complementary and Alternative Medicine Practitioner Use among Adults with Diabetes in Queensland, Australia

Table 3

Logistic model of demographic and health status characteristics of CAM practitioner users.

Variables CAM practitioner user (%) or mean ± SDCrude ORCrude  95% CIAdjusted ORAdjusted 95% CIAdjusted value

Sociodemographic
 Sex<0.001
  Male1828101 (5.5)1.001.00
  Female1509157 (10.4)1.991.53–2.581.981.50–2.62
 Age group<0.001
  18–44 years22530 (13.3)3.181.80–5.622.301.25–4.23
  45–59 years90999 (10.9)2.531.59–4.041.961.20–3.21
  60–74 years1704106 (6.2)1.370.87–2.181.150.71–1.86
  75+ years49923 (4.6)1.001.00
 Education level<0.001
  University degree44952 (11.6)2.251.55–3.272.051.37–3.06
  Certificate/diploma/trade100593 (9.2)1.751.28–2.411.841.32–2.57
  Senior high school47237 (7.8)1.460.97–2.201.480.96–2.28
  Year 10 and below136575 (5.5)1.001.00
 Health insurance0.011
  Private1712155 (9.1)1.411.09–1.831.441.09–1.92
  Not private1551102 (6.6)1.001.00
Health and lifestyle
 Vegetable consumption (per serve per day) 1.181.08–1.301.171.06–1.290.002
 Exercise
  Sufficiently active1568138 (8.8)1.311.01–1.691.341.02–1.760.035
  Insufficiently active1718118 (6.9)1.001.00
Quality of life
 EQ-5D pain subscale0.002
  Extreme pain or discomfort19620 (10.2)1.681.01–2.801.991.15–3.44
  Moderate pain or discomfort1685142 (8.4)1.361.04–1.791.661.23–2.23
  No pain or discomfort142190 (6.3)1.001.00
 ADDQoL AWI (per unit) 0.910.85–0.970.920.86–0.990.032