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. 2014 Apr 7;14:320. doi: 10.1186/1471-2458-14-320

Table 4.

Multivariate binary logistic regression analysis with overweight/obesity (BMI), abdominal overweight/obesity (WC) and high body fat/obesity (%BF) as dependent variable

  Overweight/obesity (BMI)
Abdominal overweight/obesity (WC)
High body fat/obesity (%BF)
OR (95% CI) p -value OR (95% CI) p -value OR (95% CI) p -value
Socioeconomic status
 
 
 
 
 
 
   High
8.3 (3.9 - 15.4)
< 0.001
2.5 (1.2 - 5.6)
0.017
0.2 (0.1 - 0.6)
0.003
   Medium
3.7 (1.8 - 7.3)
< 0.001
2.1 (1.8 - 7.3)
< 0.001
0.1 (0.05 - 0.4)
< 0.001
   Low
ref.
 
ref.
 
ref.
 
Quartiles of height SDS
 
 
 
 
 
 
   Fourth quartile
9.1 (3.4 - 16.7)
< 0.001
4.1 (1.9 - 8.7)
< 0.001
0.3 (0.1 - 0.7)
0.010
   Third quartile
2.1 (1.0 - 4.1)
0.041
3.8 (1.8 - 8.1)
< 0.001
0.4 (0.2 - 0.9)
0.041
   Second
3.7 (1.7 - 7.9)
0.001
ref.
 
0.2 (0.05 - 0.7)
0.014
   First
ref.
 
 
 
ref.
 
High birth weight (>4 kg)
 
 
 
 
 
 
   Yes
0.1 (0.06 - 0.2)
< 0.001
0.2 (0.1 - 0.4)
< 0.001
7.1 (3.2 - 15.9)
< 0.001
   No ref.   ref.   ref.  

OR, odds ratio; CI, confidence interval; (odds ratios adjusted for age and gender). Overweight/obesity, abdominal overweight/obesity and high body fat/obesity are defined by BMI, waist circumference and% body fat respectively.