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. 2018 Nov 13;13(10-11):1072–1087. doi: 10.1080/15592294.2018.1543503

Table 1.

Comparisons of covariates between the participants included in and excluded from this study.

  Included (N = 265)
Excluded (N = 1863)
   
Covariates N Mean (SD)
or N (%)
N Mean (SD)
or N (%)
P-valuea Effect sizeb
Maternal characteristics at enrollment            
Education 265   1839   0.26 0.02
 ≥ College graduate   180 (67.9)   1180 (64.2)    
 < College graduate   85 (32.1)   659 (35.8)    
Smoking during pregnancy 265   1842   0.34 0.03
 Never   188 (70.9)   1255 (68.1)    
 Former   51 (19.2)   347 (18.8)    
 During pregnancy   26 (9.8)   240 (13.0)    
Parity (nulliparous) 265   1863   2.0e-2 0.05
 No   156 (58.9)   955 (51.3)    
 Yes   109 (41.1)   908 (48.7)    
Age (years) 265 32.9 (5.3) 1863 31.7 (5.2) 2.3e-4 0.24
Pre-pregnancy BMI (kg/m2) 265 24.9 (5.2) 1847 24.9 (5.6) 0.90 0.01
Child characteristics            
Sex 265   1863   0.79 0.01
 Boys   134 (50.6)   962 (51.6)    
 Girls   131 (49.4)   901 (48.4)    
Race/ethnicity 265   1844   0.15 0.06
 White   163 (61.5)   1179 (63.9)    
 Black   46 (17.4)   309 (16.8)    
 Hispanic   16 (6.0)   112 (6.1)    
 Asian   7 (2.6)   88 (4.8)    
 Other   33 (12.5)   156 (8.5)    
Birthweight (grams) 265 3551 (548) 1862 3448 (597) 0.5e-2 0.19
Gestational age (weeks) 265 39.6 (1.6) 1863 39.4 (2.0) 0.17 0.09
Birthweight for gestational age z-score 265 0.31 (1.00) 1862 0.15 (0.97) 1.3e-2 0.16
Age at blood draw for DNAm (years) 265 7.7 (0.7) 195 8.2 (0.9) 2.0E-7 0.50
BMI in mid-childhood (kg/m2) 265 17.4 (3.2) 845 17.2 (2.9) 0.45 0.05
BMIz in mid-childhood 265 0.45 (1.06) 845 0.37 (0.98) 0.27 0.08
Age at the early adolescence visit (years) 265 12.9 (0.6) 773 13.3 (1.0) 4.4E-12 0.50
Cardio-metabolic in early adolescence 265 −0.03 (0.63) 334 0.02 (0.62) 0.30 0.09

Abbreviation: Standard deviation (SD); Body mass index (BMI); BMI z-score (BMIz); DNA methylation (DNAm).

a χ[2] test was used for categorical variables, t-test was used for continuous variables;

b Cramér’s V was used for the effect size analysis for categorical variables, Cohen’s d was used for the effect size analysis for continuous variables.