Table 5.
Determinants of poor snacking behaviour among the study participants based on random-effect logistic regression analysis (n=865).
| Characteristics | Poor snacking behaviour (n=470), number (%) | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
|---|---|---|---|---|
| Gender | Female (n=453) | 242 (53.4) | — | — |
| Male (n=412) | 228 (55.3) | 1.12 (0.84–1.49) | 1.07 (0.79–1.45) | |
|
| ||||
| Age group (years) | <20 (n=664) | 343 (51.7) | — | — |
| ≥20 (n=201) | 127 (63.2) | 1.58 (1.09–2.27) | 1.54 (1.05–2.27) | |
|
| ||||
| Subject/stream | Computer applications and science (n=146) | 057 (39.0) | — | — |
| Nonscience (n=719) | 413 (57.4) | 1.87 (1.27–2.75) | 1.51 (1.01–2.25)∗ | |
|
| ||||
| School management | Government (n=490) | 277 (56.5) | 1.09 (0.21–5.74) | 1.16 (0.29–4.62) |
| Private (n=375) | 193 (51.5) | — | — | |
|
| ||||
| Predominant diet | Vegetarian (n=390) | 188 (48.2) | — | — |
| Nonvegetarian (n=475) | 282 (59.4) | 1.73 (1.30–2.31) | 1.74 (1.29–2.35)∗ | |
|
| ||||
| Usual tendency to skip any meal | Yes (n=464) | 324 (69.8) | 3.12 (2.27–4.16) | 2.94 (2.17–4.00)∗∗ |
| No (n=401) | 146 (36.4) | — | — | |
∗ p value significant at 0.05 cutoff level; ∗∗ p < 0.0001; deviance = 74.32.