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Table 3 Odds ratios of ordered logistic regression on overweight and obesity in selected African countries

From: Overweight and obesity in urban Africa: A problem of the rich or the poor?

 

(Overweight or obese) vs Not overweight/obese

Obese vs (overweight or not overweight/obese)

 

Odds Ratio

95% Confidence Interval

Odds Ratio

95% Confidence Interval

Time lap (Continuous)

1.05**

[1.04; 1.06]

 

aSame

Household wealth (Ref: Poorest)

    

   Middle

1.97 **

[1.80; 2.16 ]

 

Same

   Richest

3.20 **

[2.92; 3.51 ]

 

Same

Education (Ref: None)

    

   Primary

1.40 **

[1.27; 1.53 ]

 

Same

   Secondary+

1.59 **

[1.44; 1.76 ]

 

Same

Working status (Ref: Not working)

    

   Working

1.13 **

[1.05; 1.22 ]

 

Same

Age (Ref: 20-24)

    

   15-19

0.61 **

[0.53; 0.70 ]

0.50 **

[0.43; 0.59 ]

   25-29

1.52 **

[1.36; 1.69 ]

 

Same

   30-34

2.49 **

[2.19; 2.82 ]

 

Same

   35+

3.28 **

[2.87; 3.74 ]

3.57 **

[3.12; 4.08 ]

Marital status (Ref: Current married)

    

   Never married

0.62 **

[0.55; 0.70 ]

 

Same

   Other

0.91 †

[0.82; 1.02 ]

 

Same

Parity (Ref: <2)

    

   2-3

1.22 **

[1.10; 1.36 ]

 

Same

   4-5

1.26 **

[1.10; 1.43 ]

 

Same

   6+

1.22 **

[1.05; 1.41 ]

 

Same

Country (Ref: Burkina)

    

   Ghana

1.40 **

[1.24; 1.58 ]

 

Same

   Kenya

1.54 **

[1.37; 1.74 ]

 

Same

   Malawi

0.79 **

[0.69; 0.91 ]

 

Same

   Niger

1.49 **

[1.32; 1.67 ]

 

Same

   Senegal

1.21 **

[1.07; 1.36 ]

 

Same

   Tanzania

1.19 **

[1.05; 1.34 ]

 

Same

  1. †p < .10;*p < .05; **p < .01
  2. aEstimates for (Overweight or obese) vs Not overweight/obese are the same as for Obese vs (overweight or not overweight/obese).