Table 2. Linkage of socio-demographic variables with the level of knowledge and attitude on GM foods.
|
Variables |
Level of knowledge1 |
Level of attitude2 |
||||||
|
|
Poor knowledge |
Better knowledge |
Average knowledge score |
P values
|
Negative attitude |
Positive attitude |
Average attitude Score |
P values |
|
Age 19-28 years |
151 (64.8%) |
82 (35.2%) |
5.9± 3.8 |
0.07 |
168 (72.1%) |
65 (27.9%) |
4.5± 2.7 |
0.2 |
|
29-67 years |
118 (51.5%) |
111 (48.5%) |
6.7±4.3 |
152 (66.4%) |
77 (33.6%) |
4.9±2.9 |
||
|
Gender Male |
96 (48.2%) |
103(51.8%) |
7.6± 3.5 |
0.00 |
112(56.3%) |
87 (43.7%) |
5.7±2.6 |
0.00 |
|
Female |
173 (65.8%) |
90 (34.2%) |
5.3± 4.2 |
208 (79.1%) |
55 (20.9%) |
3.9±2.6 |
||
|
Educational status HSC |
20 (47.6%) |
22 (52.4%) |
7.9±3.7 |
0.00 |
25 (59.5%) |
17 (40.5%) |
5.8±2.3 |
0.00 |
|
Graduate |
177 (63.2%) |
103 (36.8%) |
5.6±4.3 |
200 (71.4%) |
80 (28.6%) |
4.3±2.8 |
||
|
Postgraduate |
72 (51.4%) |
68 (48.6%) |
7.3±3.4 |
95(67.9%) |
45 (32.1%) |
5.2±2.6 |
||
|
Disciplined Studied in HSC Arts |
156 (56.1%) |
122 (43.9%) |
6.3±4.4 |
0.02 |
197 (70.9%) |
81 (29.1%) |
4.6±2.7 |
0.63 |
|
Business |
80 (68.4%) |
37 (31.6%) |
5.9±3.2 |
79 (67.5%) |
38 (32.5%) |
4.5±2.8 |
||
|
Science |
33 (49.3%) |
34 (50.7%) |
7.4±3.7 |
44 (65.7%) |
23 (34.3%) |
5.3±2.7 |
||
|
Area of Residence Rural |
215 (58.7%) |
151 (41.3%) |
6.3±4.1 |
0.71 |
256 (69.9%) |
110 (30.1%) |
4.6±2.8 |
0.43 |
|
Peri-urban |
22 (55%) |
18 (45%) |
6.8±4.5 |
28 (70%) |
12 (30%) |
4.9±2.7 |
||
|
Urban |
32 (57.1%) |
24 (42.9%) |
6.2±3.5 |
36 (64.3%) |
20 (35.7%) |
5.1±2.6 |
||
|
Monthly Income (BDT) <10000 |
121 (61.1%) |
77 (38.9%) |
6.6±3.3 |
0.00 |
136 (68.7%) |
62 (31.3%) |
4.9±2.6 |
0.002 |
|
10000-50000 |
112 (69.1%) |
50 (30.9%) |
4.9±4.3 |
127 (78.4%) |
35 (21.6%) |
3.9±2.6 |
||
|
50001-100000 |
28 (33.3%) |
56 (66.7%) |
8.1±4.3 |
46 (54.8%) |
38 (45.2%) |
5.4±3.1 |
||
|
>100000 |
8 (44.4%) |
10 (55.6%) |
7.4±3.6 |
11 (61.1%) |
7 (38.9%) |
5.8±2.3 |
||
|
Marital Status Single |
100 (51%) |
96 (49%) |
6.9±4.3 |
0.08 |
139 (70.9%) |
57 (29.1%) |
4.6±2.8 |
0.3 |
|
Married |
165 (64.5%) |
91 (35.5%) |
5.8±3.9 |
176 (68.8%) |
80 (31.3%) |
4.7±2.7 |
||
|
Divorced |
4 (40%) |
6 (60%) |
7.7±4.3 |
5 (50%) |
5 (50%) |
5.6±3.1 |
||
|
Occupation Student |
86 (56.6%) |
66 (43.4%) |
6.8±3.6 |
0.00 |
104 (68.4%) |
48 (31.6%) |
4.9±2.7 |
0.00 |
|
Teaching |
24 (57.1%) |
18 (42.9%) |
7.1±3.2 |
27 (64.3%) |
15 (35.7%) |
4.9±2.8 |
||
|
Business |
19 (61.3%) |
12 (38.7%) |
7.3±3 |
22 (71%) |
9 (29%) |
4.4±2.6 |
||
|
Government Service |
85 (87.6%) |
12 (12.4%) |
2.5±3.4 |
90 (92.8%) |
7 (7.2%) |
2.6±2.1 |
||
|
NGO Service |
38 (48.1%) |
41 (51.9%) |
7.4±4.0 |
40 (50.6%) |
39 (49.4%) |
5.8±2.5 |
||
|
Service in pharmaceuticals |
17 (27.9%) |
44 (72.1%) |
8.7±3.2 |
37 (60.7%) |
24 (39.3%) |
5.7±2.6 |
||
1Level of knowledge was determined as ‘better knowledge’ and ‘poor knowledge’ based on the median value (7) of the total correct knowledge score (13), 2Level of attitude was determined as ‘positive attitude’ and ‘negative attitude’ based on the median value (6) of the total correct attitude score (11). Significant results with P values < 0.05 are shown in bold both in the 5th and 9th column.