Table 1: Descriptive statistics on socio-demographic characteristics of participants by gender.
Variables |
Male (n = 134) 2n (%) |
Female (n = 166) n (%) |
Total (N = 300) N (%) |
X2 |
p-value |
|
Age (years) |
|
|
|
|||
(Mean ± SD)3 |
32.0 ± 10.4 |
36.4 ± 10.3 |
34.4 ± 10.6 |
9.9 |
< 0.01** |
|
18-30 |
70 (52.2) |
59 (35.5) |
129 (43.0) |
|
|
|
31-50 |
64 (47.8) |
107 (64.5) |
171 (57.0) |
|
|
|
Ethnicity |
|
|
||||
Dagomba |
127 (94.8) |
143 (86.1) |
270 (90.0) |
11.1 |
0.01** |
|
Gonja |
1 (0.7) |
11 (6.7) |
12 (4.0) |
|
|
|
Mamprusi |
2 (1.5) |
6 (3.6) |
8 (2.7) |
|
|
|
Akan |
2 (1.5) |
1 (0.6) |
3 (1.0) |
|
|
|
Grusi |
2 (1.5) |
4 (2.4) |
6 (2.0) |
|
|
|
Mou |
0 (0.0) |
1 (0.6) |
1 (0.3) |
|
|
|
Educational status |
|
|
|
|
|
|
No formal Education |
56 (41.8) |
108 (65.1) |
164 (54.7) |
11.8 |
< 0.01** |
|
Primary |
7 (5.2) |
20 (12.0) |
27 (9.0) |
|
|
|
J.H.S |
0 (0.0) |
4 (2.4) |
4 (1.3) |
|
|
|
S.H.S |
47 (35.1) |
25 (15.1) |
72 (24.0) |
|
|
|
Tertiary |
24 (17.9) |
9 (5.4) |
33 (11.0) |
|
|
|
Occupation |
|
|
|
|
|
|
Farmers |
52 (38.8) |
64 (38.6) |
116 (38.7) |
0.3 |
0.78 |
|
Civil servants |
14 (10.4) |
11 (6.6) |
25 (8.3) |
|
|
|
Traders/Business personnel |
32 (23.9) |
63 (38.0) |
95 (31.7) |
|
|
|
Students |
18 (13.4) |
4 (2.4) |
22 (7.3) |
|
|
|
Others |
18 (13.4) |
24 (14.5) |
42 (14.0) |
|
|
|
Socio-economic status |
|
|
|
|
|
|
Low |
104 (77.6) |
147(88.6) |
251 (83.7) |
9.8 |
0.05 |
|
Middle |
14 (10.4) |
12(7.2) |
26 (8.7) |
|
|
|
High |
16 (12.0) |
7(4.2) |
23 (7.6) |
|
|
SD: Standard Deviation, 1Significance based on independent T-test for continuous variables and chi-square for categorical variables; 2n (%) = proportions, 2Mean ± standard deviation; **p-values significant at < 0.05. JHS: Junior High School; SHS: Senior High School; Tertiary: University/polytechnics