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Table 1 Multidimensional description of the sample

From: The relationship between dental anxiety and other kinds of anxiety: a naturalistic, cross-sectional and comparative study

 

Whole sample

Comparison between check-examination group (0) and dental treatment group (1)

(t- test or chi-square test)

N

M or %

(SD)

Vc

Median

Range

t or chi2

p

Cohen’s d or Cramer’s V

Socio-demographic variables

         

Age

156

51.2

(17.7)

35%

55

17–87

0.77

n.s

0.14

Sex (% women)

156

57%

    

0.001

n.s

0.003

Living alone

155

32.3%

    

3.22

n.s

0.16

Education (% high school)

154

68%

    

1.38

n.s

0.10

Employment (% employed/jobless/pension)

154

67/1.3/21%

    

3.95

n.s

0.17

Odontological variables

         

Age at onset of dental problems

127

13.0

(7.3)

56%

11

3–50

0.99

n.s

0.04

Dental appointments in the last 12 months

155

2.8

(2.6)

93%

2

0–25

2.65

0.009

0.48

Different dentists during the lifetime

152

6.0

(5.3)

88%

5

1–40

1.46

n.s

0.26

Medical variables

         

Number different drugs currently

156

1.1

(1.7)

155%

0

0–8

0.66

n.s

0.12

Medical appointments last 12 months

156

5.4

(5.4)

100%

4

0–40

0.44

n.s

0.08

Number physical illnesses

156

0.77

(0.97)

126%

0

0–4

0.74

n.s

0.13

Biographical data

         

Any psychiatric support during the lifetime

155

39.3%

    

2.14

n.s

0.13

Appraisal of one’s life

155

7.9

(1.4)

18%

8

2–10

0.04

n.s

0.01

Appraisal of one’s upbringing

154

7.5

(2.1)

28%

8

1–10

0.74

n.s

0.13

Traumatic experience in childhood

155

45.8%

    

0.14

n.s

0.03

Traumatic experience as an adult

156

35.9%

    

0.01

n.s

0.01

  1. N = sample size; M = mean; SD = standard deviation; Range = lowest and highest value; Vc = variation coefficient: (SD/M) × 100; t = t- value on a t-distribution; chi2 = value at chi-square distribution of values; p = level of significance of differences; Cohen’s d = effect size of differences for metric variables; Cramer’s V = effect size of differences for categorical variables