Table 4.
Multivariate logistic regression analysis assessing the relationship between different independent variables and elevated BMI
| Variables (N = 1185) | Adjusted OR (95% CI) | p-value |
|---|---|---|
| Type of school | ||
| Government | 1 | |
| Aided | 1.17 (0.66–2.07) | 0.57 |
| Unaided/private | 2.87 (1.55–5.31) | 0.001* |
| Gender | ||
| Male | 1 | |
| Female | 0.84 (0.60–1.17) | 0.32 |
| Religion | ||
| Hindu | 1 | |
| Muslim | 2.26 (1.39–3.67) | 0.001* |
| Christian | 1.60 (1.07–2.38) | 0.02* |
| Education of father | ||
| Illiterate | 1 | |
| Primary | 0.78 (0.34–1.76) | 0.55 |
| Secondary | 0.77 (0.34–1.71) | 0.52 |
| Higher and above | 0.83 (0.36–1.90) | 0.67 |
| Education of mother | ||
| Illiterate | 1 | |
| Primary | 0.91 (0.38–2.19) | 0.84 |
| Secondary | 1.12 (0.48–2.63) | 0.78 |
| Higher and above | 0.94 (0.39–2.28) | 0.90 |
| Occupation of father | ||
| Professional | 2.50 (1.00–6.29) | 0.05* |
| Skilled | 1.35 (0.59–3.10) | 0.46 |
| Unskilled | 1.33 (0.58–3.00) | 0.49 |
| Business | 2.43 (1.05–5.62) | 0.03* |
| Unemployed | 1 | |
| Occupation of mother | ||
| Professional | 1.01 (0.54–1.87) | 0.97 |
| Skilled | 0.87 (0.30–2.50) | 0.80 |
| Unskilled | 0.62 (0.34–1.14) | 0.13 |
| Business | 1.77 (0.31–9.91) | 0.51 |
| Housewife | 1 | |
| Frequency of junk food consumption | ||
| No consumption | 1 | |
| Occasionally | 1.20 (0.58–2.47) | 0.61 |
| Frequently | 1.34 (0.60–2.96) | 0.46 |
| Hosmer and lemeshow test | 0.483 | |
Multiple Logistic Regression was used for multivariate statistical analyses.
OR: Odds Ratio, CI: Confidence Interval, 1: Reference Category.
*
Statistically significant (p < 0.05).