Table 2 Descriptive epidemiology of gaming among the nine African countries where prevalence of gaming, mean hours of gaming per week, period from when participant considered himself a gamer and type of device used for gaming purposes are described with age and sex.

South Africa

2580

21 ± 3

2194 (85.04%)

386 (14.96%)

17 ± 2.5

14 ± 2

820 (31.78%)

805 (31.2%)

105 (4.07%)

850 (32.95%)

1500 (58.14%)

94 (3.64%)

800 (31%)

186 (7.22%)

Cameroon

1456

19 ± 3

1300 (89.28%)

156 (10.72%)

10 ± 1.75

19 ± 1

456 (31.32%)

435 (29.87%)

85 (5.84%)

480 (32.97%)

700 (48.08%)

63 (4.33%)

286 (19.64%)

407 (27.95%)

Ivory Coast

908

23 ± 2

785 (86.45%)

123 (13.55%)

12 ± 1.25

13 ± 1

278 (30.62%)

227 (25%)

53 (5.84%)

350 (38.54%)

230 (25.33%)

58 (6.39%)

520 (57.27%)

100 (11.01%)

Gabon

449

20 ± 2

414 (92.2%)

35 (7.8%)

6 ± 0.5

15 ± 1

134 (29.84%)

123 (27.4%)

46 (10.24%)

146 (32.52%)

153 (34.08%)

217 (48.33%)

62 (13.8%)

17 (3.79%)

Morocco

1831

20 ± 2

1662 90.77%)

169 (9.23%)

18 ± 2.5

18 ± 2

504 (27.53%)

497 (27.14%)

157 (8.57%)

673 (36.76%)

950 (51.9%)

41 (2.24%)

689 (37.62%)

151 (8.24%)

Nigeria

1298

25 ± 2

1147 (88.37%)

151 (11.63%)

12 ± 2.25

13 ± 1.75

350 (26.96%)

350 (26.96%)

126 (9.71%)

472 (36.37%)

456 (35.13%)

83 (6.4%)

605 (46.61%)

154 (11.86%)

Rwanda

897

25 ± 1

809 (90.19%)

88 (9.81%)

8 ± 2

10 ± 2

260 (29%)

230 (25.64%)

146 (16.27%)

261 (29.09%)

371 (41.36%)

18 (2.01%)

316 (35.23%)

192 (21.4%)

Sénégal

846

22 ± 2

770 (91%)

76 (9%)

6 ± 2.5

11 ± 0.25

211 (24.94%)

320 (37.83%)

54 (6.38%)

261 (30.85%)

387 (45.74%)

7 (0.83%)

366 (43.26%)

86 (10.17%)

Tunisia

301

26 ± 4

285 (94.68%)

16 (5.32%)

20 ± 2.5

26 ± 2

57 (18.94%)

83 (27.58%)

73 (24.25%)

88 (29.23%)

100 (33.22%)

26 (8.64%)

94 (31.23%)

81 (26.91%)