Research Article
Prediction of the Influential Factors on Eating Behaviors: A Hybrid Model of Structural Equation Modelling-Artificial Neural Networks
Table 4
Results of bootstrapping for path analysis.
| Path | BSC | BA | EES | EBP categories | Beta | values | Beta | values | Beta | values |
| Eating out | 0.198 | ≤0.01 | −0.327 | ≤0.01 | 0.113 | 0.07 | Emotional eating | 0.239 | ≤0.01 | −0.119 | ≤0.05 | 0.447 | ≤0.01 | Healthy eating | −0.099 | 0.101 | 0.259 | ≤0.01 | −0.395 | ≤0.01 | Low fat | −0.154 | ≤0.01 | 0.432 | ≤0.01 | −0.126 | ≤0.05 | Meal skipping | 0.194 | ≤0.01 | −0.425 | ≤0.01 | 0.211 | ≤0.01 | Planning ahead | −0.079 | 0.212 | 0.472 | ≤0.01 | −0.122 | 0.08 | Snacking | 0.385 | ≤0.01 | −0.244 | ≤0.01 | 0.056 | 0.34 | Sweets | 0.173 | ≤0.01 | −0.236 | ≤0.01 | 0.218 | ≤0.01 |
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BSC: body shape concern, BA: body appreciation, and EES: emotional eating scale.
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