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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 category

Explanatory variables

Odds ratios

Model 1

 Normal+

Energy

0.999 (0.999–1.000)**

Protein

1.008 (0.997–1.019)

Fat

0.996 (0.987–1.005)

Sugar

0.998 (0.992–1.004)

Community

 

Rural

1.684 (1.039–2.729)*

Urbana

 

Gender

 

Male

21.968 (10.876–44.373)***

Femalea

 

 Overweight

Energy

0.999 (0.999–1.000)**

Protein

1.004 (0.994–1.015)

Fat

0.999 (0.990–1.007)

Sugar

1.002 (0.995–1.008)

Community

 

Rural

1.198 (0.741–1.936)

Urbana

 

Gender

 

Male

1.991 (0.790–5.018)

Femalea

 

Model 2

 Normal+

Energy

0.999 (0.999–1.000)*

Protein

1.008 (0.997–1.019)

Fat

0.996 (0.987–1.005)

Sugar

0.998 (0.992–1.004)

Community

 

Rural

1.449 (0.881–2.385)

Urbana

 

Gender

 

Male

19.715 (9.723–39.978)***

Femalea

 

Metabolic equivalent category

 

Not meeting WHO recommendation

0.585 (0.363–0.943)*

Meeting WHO recommendationa

 

 Overweight

Energy

0.999 (0.999–1.000)*

Protein

1.004 (0.994–1.016)

Fat

0.999 (0.990–1.007)

Sugar

1.001 (0.995–1.008)

Community

 

Rural

1.109 (0.675–1.823)

Urbana

 

Gender

 

Male

1.903 (0.753–4.810)

Femalea

 

Metabolic equivalent category

 

Not meeting WHO recommendation

0.729 (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