Table 4 Univariate analysis of the relationships between potential internet addiction and participants’ characteristics (N = 808)

Gender

0.297 ^$

Male

138 (64.5%)

76 (35.5%)

Female

359 (60.4%)

235 (39.6%)

Age

0.135 ^$

18

77 (15.5%)

55 (17.7%)

19

106 (21.3%)

77 (24.8%)

20

86 (17.3%)

57 (18.3%)

21

103 (20.7%)

68 (21.9%)

22–24

125 (25.2%)

54 (17.3%)

GPA

0.03 ^#

A

9 (1.8%)

6 (1.9%)

B⁺

265 (53.3%)

146 (47%)

B

156 (31.4%)

90 (29%)

C⁺

34 (6.9%)

42 (13.5%)

C

28 (5.6%)

24 (7.7%)

D

5 1%)

3 (0.9%)

BMI

0.592 ^#

Thin

13 (2.6%)

12 (3.9%)

Normal

318 (64%)

191 (61.4%)

Over wt

128 (25.8%)

84 (27%)

Obesity I

30 (6%)

21 (6.7%)

Obesity II

4 (0.8%)

3 (1%)

Obesity III

4(0.8%)

0 (0%)

Depression

 < 0.001 ^$

Normal

158 (31.8%)

33 (10.6%)

Mild

76 (15.3%)

37 (11.9%)

Moderate

133 (26.7%)

77 (24.8%)

Severe

66 (13.3%)

61 (19.6%)

Extremely severe

64 (12.9%)

103 (33.1%)

Anxiety

 < 0.001 ^$

Normal

214 (43%)

68 (21.8%)

Mild

90 (18.1%)

49 (15.8%)

Moderate

81 (16.3%)

42 (13.5%)

Severe

49 (9.9%)

49 15.8%)

Extremely severe

63 (12.7%)

103 (33.1%)

Stress

 < 0.001 ^$

Normal

274 (55.1%)

82 (26.3%)

Mild

73 14.7%)

41 (13.2%)

Moderate

78 (15.8%)

81 (26%)

Severe

50 (10%)

64 (20.7%)

Extremely severe

22 (4.4%)

43 (13.8%)