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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