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. 2021 Jun 20;28(42):59945–59952. doi: 10.1007/s11356-021-14961-9

Table 4.

Relation between level of Internet addiction and sociodemographic data of the studied students

Sociodemographic data Level of Internet addiction X2 P value
Average Internet user Possible Internet addict Severe Internet addict

Sex

Male

Female

Non-medical Medical Non-medical Medical Non-medical Medical 4.5 0.1
25 (33.8%) 5 (27.8%) 98 (38.1%) 52 (32.1%) 10 (23.8%) 55 (28.5%)
49 (66.2%) 13 (72.2%) 159 (61.9%) 110 (67.9%) 32 (76.2%) 138 (71.5%)
Residence
Urban 46 (62.2%) 9 (50%) 134 (52.1%) 110 (67.9%) 25 (59.5%) 118 (61.1%) 0.4 0.8
Rural 28 (37.8%) 9 (50%) 123 (47.9%) 52 (32.1%) 17 (40.5%) 75 (38.9%)
Marital status
Married or engaged 6 (8.1%) 2 (11.1%) 21 (8.2%) 9 (5.6%) 3 (7.1%) 9 (4.7%) 1.7 0.4
Not married 68 (91.9%) 16 (88.9%) 236 (91.8%) 153 (94.4%) 39 (92.9%) 184 (95.3%)
Family income
Not enough 4 (5.4%) 0 (0%) 13 (5.1%) 7 (4.3%) 7 (16.7%) 10 (5.2%) 11.6 0.6
Just enough 35 (47.3%) 12 (66.7%) 147 (57.2%) 82 (50.6%) 17 (40.5%) 109 (56.5%)
Enough and saving 35 (47.3%) 6 (33.3%) 97 (37.7%) 73 (45.1%) 18 (42.9%) 74 (38.3%)