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Table 4 Regression coefficients and variance partition coefficients for school and neighbourhood for models – year six

From: Understanding local ethnic inequalities in childhood BMI through cross-sectional analysis of routinely collected local data

 GirlsBoys
Null modelModel 1 aModel 2 bNull modelModel 1 aModel 2 b
FIXED EFFECTSCoefficient [95% credible intervals]Coefficient [95% credible intervals]Coefficient [95% credible intervals]Coefficient [95% credible intervals]Coefficient [95% credible intervals]Coefficient [95% credible intervals]
White British (reference)0.46 [0.43,0.50]0.48 [0.44,0.52]0.18 [0.09,0.27]0.59 [0.55,0.62]0.56 [0.52,0.60]0.39 [0.30,0.49]
Ethnicity CoefficientsCoefficients CoefficientsCoefficients
 White other −0.05 [−0.15,0.05]
P = 0.171
−0.08 [−0.18,0.03]
P = 0.072
 0.17 [0.07,0.27]
P < 0.001
0.15 [0.05,0.25]
P = 0.002
 Mixed ethnicity −0.00 [− 0.10,0.10]
P = 0.49
−0.02 [− 0.11,0.08]
P = 0.368
 0.11 [0.02,0.20]
P = 0.01
0.10 [0.00,0.19]
P = 0.02
 Indian −0.25 [− 0.33,-0.18]
P < 0.001
−0.26 [− 0.34,-0.18]
P < 0.001
 −0.03 [− 0.11,0.05]
P = 0.215
−0.03 [− 0.11,0.04]
P = 0.205
 Pakistani − 0.08 [− 0.19,0.03]
P = 0.065
−0.13 [− 0.23,-0.02]
P = 0.009
 −0.04 [− 0.14,0.06]
P = 0.214
−0.07 [− 0.17,0.034]
P = 0.09
 Bangladeshi 0.15 [−0.02,0.32]
P = 0.046
0.10 [− 0.07,0.27]
P = 0.111
 0.33 [0.16,0.50]
P < 0.001
0.29 [0.12,0.46]
P < 0.001
 Other Asian backgrounds −0.15 [− 0.28,-0.03]
P = 0.01
−0.17 [− 0.30,-0.05]
P = 0.004
 0.06 [− 0.06,0.17]
P = 0.168
0.04 [− 0.08,0.16]
P = 0.251
 Black Caribbean 0.41 [0.19,0.64]
P < 0.001
0.40 [0.17,0.62]
P < 0.001
 0.00 [−0.23,0.23]
P = 0.496
−0.02 [− 0.24,0.21]
P = 0.437
 Black African 0.19 [0.09,0.29]
P < 0.001
0.14 [0.04,0.23]
P = 0.004
 0.17 [0.08,0.27]
P < 0.001
0.14 [0.04,0.24]
P = 0.003
 Other Black Backgrounds 0.41 [0.14,0.68]
P = 0.001
0.37 [0.11,0.64]
P = 0.002
 0.27 [0.00,0.55]
P = 0.024
0.25 [−0.02,0.53]
P = 0.035
 Chinese −0.60 [−1.07,-0.26]
P = 0.001
− 0.66 [−1.07,-0.26]
P = 0.001
 0.10 [− 0.32,0.52]
P = 0.317
0.10 [− 0.31,0.52]
P = 0.312
 Any other ethnic group − 0.24 [− 0.46,0.00]
P = 0.022
−0.28 [− 0.50,-0.05]
P = 0.009
 −0.06 [− 0.28,0.16]
P = 0.302
−0.08 [− 0.30,0.14]
P = 0.234
School and neighbourhood covariates  Coefficient [95% credible intervals]  Coefficient [95% credible intervals]
 School IMD decile  0.02 [0.01,0.04]
P = 0.001
  0.01 [−0.01,0.02]
P = 0.188
 Neighbourhood IMD decile  0.02 [0.01,0.04]
P < 0.001
  0.02 [0.01,0.03]
P = 0.003
RANDOM EFFECTS
Decomposition of variance% variance% variance% variance% variance% variance% variance
 School level VPC1.4%1.2%0.6%0.4%0.5%0.4%
 Neighbourhood level VPC0.2%0.2%0.1%0.7%0.7%0.6%
 Child level VPC98.4%98.6%99.3%98.9%98.8%99.0%
MODEL FITDICDICDICDICDICDIC
 Bayesian DIC41,35241,27241,25442,61542,59142,585
Observations12,66712,66712,66713,09613,09613,096
  1. aModel 1 = Ethnicity only; bModel 2 =  ethnicity + school IMD + neighbourhood IMD