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. 2022 Dec 1;17(12):e0278290. doi: 10.1371/journal.pone.0278290

Table 3. Children’s demographic characteristics and online risks by gaming preferences.

Total Non-player Single-player Multi-player
Variables N % n % n % n % P value
Gender <0.001***
    Girl 1418 52.5 272 65.5 466 55.4 546 37.8
    Boy 1284 47.5 143 34.5 375 44.6 900 62.2
Grade 0.197
    3rd grade 1200 44.3 199 47.6 380 45.0 621 42.9
    4th grade 1511 55.7 219 52.4 464 55.0 828 57.1
Resident location 0.165
    Urban 1135 41.9 175 41.9 375 44.4 585 40.4
    Rural 1576 58.1 243 58.1 469 55.6 864 59.6
Region < .001***
    Taiwan 1534 56.6 185 44.3 505 59.8 844 58.3
    China 1177 43.4 233 55.7 339 40.2 605 41.8
Mobile gaming addiction < .001***
    Yes 330 12.2 0 0.0 76 9.0 254 17.5
    No 2381 87.8 418 100.0 768 91.0 1195 82.5
Mobile violent game playing < .001***
    Yes 623 23.1 0 0.0 123 14.6 502 34.7
    No 2079 76.9 415 100.0 718 85.4 944 65.3
Mobile violence exposure < .001***
    Yes 741 27.4 71 17.1 205 24.4 517 35.7
    No 1965 72.6 345 82.9 636 75.6 932 64.3
Mobile pornography exposure < .001***
    Yes 448 16.6 34 8.2 137 16.3 287 19.9
    No 2252 83.4 382 91.8 703 83.7 1158 80.1
Cyber victimization < .001***
    Yes 295 10.9 14 3.4 60 7.1 221 15.3
    No 2413 89.1 404 96.7 782 92.9 1227 84.7
Cyber aggression < .001***
    Yes 116 4.3 1 0.2 22 2.6 93 6.4
    No 2593 95.7 417 99.8 821 97.4 1355 93.6

Note. Chi-squared tests were conducted.

Mobile gaming preferences comparison results show that multi-players have higher rates of online risks compared with that of either single-players or non-players.

*p<0.05 **p<0.01 ***p<0.001