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Table 9 Multinomial logistic regression of predictors of obesity

From: The association between dietary consumption, anthropometric measures and body composition of rural and urban Ghanaian adults: a comparative cross-sectional study

waist circumference categoryExplanatory variablesOdds ratios
Model 1
 Normal+Energy0.999 (0.999–1.000)**
Protein1.008 (0.997–1.019)
Fat0.996 (0.987–1.005)
Sugar0.998 (0.992–1.004)
Community 
Rural1.684 (1.039–2.729)*
Urbana 
Gender 
Male21.968 (10.876–44.373)***
Femalea 
 OverweightEnergy0.999 (0.999–1.000)**
Protein1.004 (0.994–1.015)
Fat0.999 (0.990–1.007)
Sugar1.002 (0.995–1.008)
Community 
Rural1.198 (0.741–1.936)
Urbana 
Gender 
Male1.991 (0.790–5.018)
Femalea 
Model 2
 Normal+Energy0.999 (0.999–1.000)*
Protein1.008 (0.997–1.019)
Fat0.996 (0.987–1.005)
Sugar0.998 (0.992–1.004)
Community 
Rural1.449 (0.881–2.385)
Urbana 
Gender 
Male19.715 (9.723–39.978)***
Femalea 
Metabolic equivalent category 
Not meeting WHO recommendation0.585 (0.363–0.943)*
Meeting WHO recommendationa 
 OverweightEnergy0.999 (0.999–1.000)*
Protein1.004 (0.994–1.016)
Fat0.999 (0.990–1.007)
Sugar1.001 (0.995–1.008)
Community 
Rural1.109 (0.675–1.823)
Urbana 
Gender 
Male1.903 (0.753–4.810)
Femalea 
Metabolic equivalent category 
Not meeting WHO recommendation0.729 (0.449–1.182)
Meeting WHO recommendationa 
  1. Multinomial logistic regression of the predictors of obesity
  2. model 1 *p < 0.05, **p < 0.01, ***p < 0.001. aVariable set as reference. +Reference for weight category is obesity. Cox and Snell R-Squared is 0.243 and Nagelkerke R-Squared is 0.277
  3. model 2 *p < 0.05, **p < 0.01, ***p < 0.001. aVariable set as reference. +Reference for weight category is obesity. Cox and Snell R-Squared is 0.248 and Nagelkerke R-Squared is 0.283