variable | Non-user (%) | User (%) | Test statistics (chi-square) | p-value | |
---|---|---|---|---|---|
sex | male | 144 (34.6%) | 50 (40.0%) | 1.212 | p < 0.271 |
female | 272 (65.4%) | 75 (60.0%) | |||
Income | < 300,000 | 18 (4.5%) | 3 (2.4%) | 9.907 | p < 0.042 |
300,000–700,000 | 38 (9.5%) | 5 (4.1%) | |||
700,000–1,000,000 | 34 (8.5%) | 9 (7.3%) | |||
1,000,000–3,000,000 | 194 (48.4%) | 54 (43.9%) | |||
> 3,000,000 | 117 (29.2%) | 52 (42.3%) | |||
Place of residence | urban | 367 (89.5%) | 120 (95.2%) | 3.804 | p < 0.050 |
rural | 43 (10.5%) | 6 (4.8%) | |||
Place of shopping | Local market | 89 (22.1%) | 8 (6.6%) | 27.351 | p < 0.000 |
Chain store | 69 (17.1%) | 26 (21.5%) | |||
Special foods | 49 (12.2%) | 30 (24.8%) | |||
Daily bazar | 36 (89%) | 4 (3.3%) | |||
hypermarkets | 120 (29.8%) | 38 (31.4%) | |||
Read of nutritional constituents | yes | 238 (58.3%) | 91 (72.8%) | 8.476 | p < 0.004 |
no | 170 (41.7%) | 34 (27.2%) | |||
Familiar with enriched foods | yes | 211 (51.8%) | 93 (74.4%) | 19.869 | p < 0.000 |
no | 196 (48.2%) | 32 (25.6%) | |||
Father’s education level | uneducated | 12 (2.9%) | 1 (0.8%) | 20.107 | p < 0.000 |
High school and lower | 186 (45.4%) | 36 (28.8%) | |||
Bachelor of Science/Art | 158 (38.5%) | 54 (43.2%) | |||
Master or Ph.D | 54 (13.2%) | 34 (27.2%) | |||
Mother’s education level | uneducated | 24 (5.9%) | 2 (1.6%) | 7.654 | P < 0.050 |
High school and lower | 227 (55.5%) | 61 (48.8%) | |||
Bachelor of Science/Art | 121 (29.6%) | 50 (40.0%) | |||
Master or Ph.D | 37 (9.0%) | 12 (9.6%) |