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. 2022 Jan 18;19(1):44–53. doi: 10.30773/pi.2021.0096

Table 1.

Prevalence of risky internet, smartphone, and alcohol users by grade and sex among medical students (N=866)

Addictive behaviors Prevalence (N, %) χ2* p
1. Grade PMED1 (N=356) MED1 (N=297) MED3 (N=213)
Internet use
Normal 339 (95.2) 272 (91.6) 190 (89.2) 7.5 0.023
Potential risk group 14 (3.9) 20 (6.7) 16 (7.5)
High-risk group 3(0.9) 5 (1.7) 7 (3.3)
Smartphone use
Normal 336 (94.4) 268 (90.2) 196 (92.0) 4.0 0.135
Potential risk group 16 (4.5) 22 (7.4) 9 (4.2)
High-risk group 4 (1.1) 7 (2.4%) 8 (3.8)
Alcohol use
Normal 271 (76.1) 213 (71.7) 140 (65.7) 7.2 0.028
Potential risk group 78 (21.9) 63 (21.2) 55 (25.8)
High-risk group 7 (2.0) 21 (7.1) 18 (8.5)
2. Sex Total (N=866) Male (N=613) Female (N=253)
Internet use
Normal 801 (92.5) 562 (91.7) 239 (94.5) 2.0 0.157
Potential-risk group 50 (5.8) 38 (6.2) 12 (4.7)
High-risk group 15 (1.7) 13 (2.1) 2 (0.8)
Smartphone use
Normal 800 (92.4) 563 (91.8) 237 (93.7) 0.9 0.355
Potential-risk group 47 (5.4) 36 (5.9) 11 (4.3)
High-risk group 19 (2.2) 14 (2.3) 5(2.0)
Alcohol use
Normal 624 (72.1) 464 (75.7) 160 (63.2) 13.8 <0.001
Potential-risk group 196 (22.6) 132 (21.5) 64 (25.3)
High-risk group 46 (5.3) 17 (2.8) 29 (11.5)
*

since the number of high-risk group for all addictive behaviors was too small for analysis, the prevalence of high- plus potential-risk users were compared between groups. PMED1, premedical first grade; MED1, medical first grade; MED3, medical third grade