Extra-curricular activities and youth risky behaviours in South Africa

Figures & data

Table 1. Characteristics of the respondents in the study.

Characteristics	All
	Frequency (N)	%
Total	10,502,705
Age group
12–14	2,972,670	28.30
15–19	4,834,146	46.03
20–22	2,695,889	25.67
Sex
Male	5,265,764	50.14
Female	5,236,941	49.86
Race/population group
White	653,802	6.23
African	8,796,236	83.75
Asian/Indian	215,874	2.06
Coloured	836,793	7.97
Type of place of residence
Urban	5,682,754	54.11
Rural	4,819,951	45.89
Currently attending school
Yes	7,400,253	70.46
No	1,198,589	11.41
Completed school	1,903,863	18.13
Has goals for the future
Yes	10,370,498	98.74
No	110,190	1.05
Don’t Know	22,017	.21

Figure 1. Percentage distribution of the sample by engagement in type of extra-curricular activity and sex.

Table 2. Percentage distribution and rates of risky behaviours by type and sex of youth.

Risky behaviours	Male		Female		Total
Condom use	%	Rate^*	%	Rate^*	%	Rate^*
Yes	72.4	273.95	63.38	235.63	67.94	254.84
No	27.6	104.43	36.62	136.16	32.06	120.25
Total (p-value < .05)	100	378.38	100	371.8	100	375.1
Number of sexual partners
One	66.78	218.39	93.58	280.46	79.56	249.34
Two or more	33.22	108.66	6.42	19.24	20.44	64.07
Total (p-value < .05)	100	327.05	100	299.7	100	313.41
Illicit drug use
Yes	10.78	107.83	4.78	47.78	7.79	77.89
No	89.22	892.17	95.22	952.22	92.21	922.11
Total (p-value < .05)	100	1000	100	1000	100	1000

^* Per 1000 youth.

Figure 2. Adjusted odds ratios (OR) of risky sexual behaviour by characteristics of adolescents in South Africa.

Figure 3. Adjusted odds ratios (OR) of illicit drug use by characteristics of adolescents in South Africa.