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. 2022 Aug 19;11(3):739–753. doi: 10.1556/2006.2022.00052

Table 3.

Subgroup analyses of internet addiction in Africa

Subgroups Categories (number of reports) Sample size Events Proportion (%) [95% confidence interval] (%) I 2 in % (for heterogeneity) χ 2 (P) across subgroups
Gender Male (17) 5,108 2,203 44.0 [35.5; 52.7] 97.4 1.09 (0.296)
Female (17) 5,899 2,455 37.0 [27.4; 47.1] 98.4
African regions Northern Africa (16) 8,110 3,929 44.6 [32.9; 56.7] 99.2 4.10 (0.04)
Sub-Saharan Africa (7) 5,765 1,983 31.0 [25.2; 37.1] 95.7
Assessment tool Compulsive internet use scale (1) 510 268 52.5 [48.2; 56.9] Not applicable 53.1 (<0.0001)
Daily duration of internet use (1) 510 337 66.1 [61.9; 70.1] Not applicable
Young's 20−items Internet Addiction Test (17) 11,585 4,981 41.3 [31.7; 51.2] 99.1
Young's 8−items Questionnaire (4) 1,270 326 27.1 [16.5; 39.2] 94.9
Age related subgroups Adolescents (2) 858 227 30.7 [10.0; 56.7] 98.1 2.95 (0.4)
Adolescents and adults (13) 7,226 3,229 42.8 [32.3; 53.6] 98.8
Adults excluding the elderly (7) 4,130 1,892 39.5 [21.5; 59.2] 99.4
Adults including the elderly (1) 1,661 564 34.0 [31.7; 36.3] Not applicable
Occupations Secondary schools' students (4) 1,875 532 32.2 [12.7; 55.7] 99.1 0.95 (0.62)
University students (18) 11,747 5,269 42.0 [33.1; 51.1] 99
Unspecified (1) 253 111 43.9 [37.8; 50.0] Not applicable