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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).