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Table 1 Characteristics of respondents or burnout score with at-risk Internet addiction(IA) and non-IA among junior high school teachers

From: At-risk Internet addiction and related factors among junior high school teachers—based on a nationwide cross-sectional study in Japan

Variables

Non-IA

At-risk IA

P value

(n = 1600)

(n = 96)

Age (years), n(%)

 < 30

312 (19.50)

42 (43.75)

< 0.001

 30–39

363 (22.69)

18 (18.75)

 

 40–49

364 (22.75)

18 (18.75)

 

 50 <

561 (35.06)

18 (18.75)

 

Gender, n(%)

 Male

942 (58.88)

62 (64.58)

0.269

 Female

658 (41.13)

34 (35.42)

 

Position at school, n(%)

 Administrator

129 (8.06)

5 (5.21)

0.386

 Senior teacher

60 (3.75)

3 (3.13)

 

 Teacher

1160 (72.50)

67 (69.79)

 

 Full-time lecturer

131 (8.19)

11 (11.46)

 

 Nursing teacher

60 (3.75)

3 (3.13)

 

 Non-permanent teacher

60 (3.75)

7 (7.29)

 

Duration of service (year), n (%)

 < 5

276 (17.25)

37 (38.54)

< 0.001

 5–9

258 (16.13)

16 (16.67)

 

 10–19

328 (20.50)

14 (14.58)

 

 20–29

378 (23.63)

17 (17.71)

 

 30 

360 (22.50)

12 (12.50)

 

Burnout§, mean ± SD

 Emotional exhaustion

2.54 ± 0.88

3.04 ± 0.93

< 0.001

 Depersonalization

1.67 ± 0.62

2.10 ± 0.75

< 0.001

 Decline of personal accomplishment

3.35 ± 0.71

3.15 ± 0.66

0.009

  1. Each number of the category variable shows the number of people, and each inside the parentheses shows % in each column
  2. Burnout scale indicates mean ± SD
  3. Mann-Whitney test
  4. χ2 test
  5. §t test