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Table 2 Descriptive statistics and simple logistic regression analyses of demographic and clinical characteristics predicting attendance (n = 324)

From: Predicting adherence to acupuncture appointments for low back pain: a prospective observational study

Characteristic Descriptive statistics Regression results
f % Odds Ratio 95% Confidence Interval p
Lower Upper
Personal characteristics
 Age --- --- 1.02* 1.00 1.04 .012
 Gender       
  Female 228 70.4 1.51 0.93 2.43 .094
 Education       .743
  Left school aged <16 years a 38 11.7     
  Educated to 16 136 42 1.04 0.51 2.14 .909
  Educated to 18 80 24.7 0.90 0.42 1.95 .789
  Post-school education 70 21.6 0.76 0.34 1.67 .492
 Economic factors
  Compensation claim pending 30 9.3 0.96 0.45 2.04 .915
  Receiving back-related benefits 58 17.9 1.34 0.76 2.38 .316
 Employment       .259
  Employed at usual work a 109 33.6     
  On restricted duties 72 22.2 1.12 0.61 2.03 .718
  Unpaid work (house work, student, retired) 143 44.1 1.50 0.91 2.47 .114
Clinical factors
 Prior acupuncture 133 41 1.61* 1.03 2.52 .037
 Comorbidity 156 48.1 1.32 0.85 2.04 .217
 Co-treatment 256 79 1.78* 1.03 3.06 .039
 LBP duration       .429
  Acute (<6 weeks) a 41 12.7     
  Persistent (6–52 weeks) 103 31.8 0.72 0.35 1.50 .385
  Chronic (>52 weeks) 180 55.6 0.99 0.50 1.95 .970
Clinic characteristics
 Sector       
  Private 111 34.3 0.50* 0.31 0.80 .004
 Acupuncture style       .059
  Unclear a 60 18.5     
  Western 164 50.6 0.97 0.54 1.76 .922
  Traditional or TCM 85 26.2 0.52 0.27 1.01 .055
  Mixed 15 4.6 1.64 0.50 5.37 .416
 Clinic type       .070
  CAM or acupuncture/TCM a 96 29.6     
  Physiotherapy 83 25.6 1.90* 1.05 3.44 .035
  Pain clinic 95 29.3 1.85* 1.04 3.28 .037
  GP 50 15.4 2.11* 1.05 4.22 .035
  1. Notes. *p < .05. **p < .01. a Reference category