Table 3.
Bivariate analysis of the predictors of dietary patterns of participating pupils
| Predictor | Dietary pattern | |||||
|---|---|---|---|---|---|---|
| Sweet tooth | Traditional | |||||
| Low (183) n (%) | High (183) n (%) | p value | Low (183) n (%) | High (183) n (%) | p value | |
| Sex | 0.210 | 0.676 | ||||
| Male | 85 (46.7) | 97 (53.3) | 89 (48.9) | 93 (51.1) | ||
| Female | 98 (53.3) | 86 (46.7) | 94 (51.1) | 90 (48.9) | ||
| Age (years) | 0.917 | 0.464 | ||||
| ≤ 15 | 88 (50.3) | 87 (49.7) | 91 (52.0) | 84 (48.0) | ||
| > 15 | 95 (49.7) | 96 (50.3) | 92 (48.2) | 99 (51.8) | ||
| Live with parents | 0.016 | 0.899 | ||||
| Yes | 134 (46.7) | 153 (53.3) | 144 (50.2) | 143 (49.8) | ||
| No | 49 (62.0) | 30 (38.0) | 39 (49.4) | 40 (50.6) | ||
| Pocket money to school | < 0.001 | 0.842 | ||||
| Yes | 160 (47.2) | 179 (52.8) | 170 (50.1) | 169 (49.9) | ||
| No | 23 (85.2) | 4 (14.8) | 13 (48.1) | 14 (51.9) | ||
| Dietary diversity (food groups) | 0.074 | 0.035 | ||||
| < 5 | 27 (62.8) | 16 (37.2) | 28 (65.1) | 15 (34.9) | ||
| ≥ 5 | 156 (48.3) | 167 (51.7) | 155 (48.0) | 168 (52.0) | ||
| Nutritional status | 0.320 | 0.358 | ||||
| Underweight | 10 (43.5) | 13 (56.5) | 10 (43.5) | 13 (56.5) | ||
| Normal | 165 (51.4) | 156 (48.6) | 159 (49.5) | 162 (50.5) | ||
| Overweight/obese | 8 (36.4) | 14 (63.6) | 14 (63.6) | 8 (36.4) | ||
| Father’s educational level | 0.033 | 0.858 | ||||
| None | 107 (54.9) | 88 (45.1) | 95 (48.7) | 100 (51.3) | ||
| Primary/junior high school | 49 (50.0) | 49 (50.0) | 51 (52.0) | 47 (48.0) | ||
| Senior high/tertiary | 27 (37.0) | 46 (63.0) | 37 (50.7) | 36 (49.3) | ||
| Father’s occupation | 0.006 | 0.392 | ||||
| Agriculture/farming | 66 (55.0) | 54 (45.0) | 64 (53.3) | 56 (46.7) | ||
| Trader | 39 (52.7) | 35 (47.3) | 32 (43.2) | 42 (56.8) | ||
| Civil servant | 7 (21.2) | 26 (78.8) | 14 (42.4) | 19 (57.6) | ||
| Others | 71 (51.1) | 68 (48.9) | 73 (52.5) | 66 (47.5) | ||
| Mother’s educational level | 0.392 | 0.592 | ||||
| None | 134 (52.3) | 122 (47.7) | 127 (49.6) | 129 (50.4) | ||
| Primary/junior high school | 37 (44.6) | 46 (55.4) | 40 (59.3) | 43 (51.8) | ||
| Senior high/tertiary | 12 (44.4) | 15 (55.6) | 16 (59.3) | 11 (40.7) | ||
| Mother’s occupation | 0.170 | 0.859 | ||||
| Agriculture/farming | 23 (65.7) | 12 (34.3) | 17 (48.6) | 18 (51.4) | ||
| Trader | 124 (47.5) | 137 (52.5) | 131 (50.2) | 130 (49.8) | ||
| Civil servant | 2 (33.3) | 4 (66.7) | 2 (33.3) | 4 (66.7) | ||
| Others | 34 (53.1) | 30 (46.9) | 33 (51.6) | 31 (48.4) | ||
| Wealth quintile | < 0.001 | 0.003 | ||||
| Poorest | 48 (64.9) | 26 (35.1) | 47 (63.5) | 27 (36.5) | ||
| Poor | 48 (63.2) | 28 (36.8) | 38 (50.0) | 38 (50.0) | ||
| Medium | 35 (50.0) | 35 (50.0) | 38 (54.3) | 32 (45.7) | ||
| Wealthy | 32 (43.8) | 41 (56.2) | 37 (50.7) | 36 (49.3) | ||
| Wealthiest | 20 (27.4) | 53 (72.6) | 23 (31.5) | 50 (68.5) | ||
Predictors with p values in italics are statistically significant