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Table 4 Linear mixed regression models with the pooled dataset

From: Education differences in cardiometabolic risk in England, Scotland and the United States between 1992 and 2019

Variable

SBP

DBP

BMI

Intercept

121.650 [120.998; 122.302]

63.852 [63.509; 64.194]

25.482 [25.329; 25.635]

Degree (ref. other qualification)

− 1.450 [− 1.804; − 1.096]

0.586 [0.353; 0.818]

− 0.549 [− 0.669; − 0.430]

No qualification

2.788 [2.529; 3.047]

3.050 [2.880; 3.220]

0.591 [0.504; 0.679]

Year

− 0.557 [− 0.571; − 0.544]

− 0.090 [− 0.099; − 0.081]

0.110 [0.106; 0.115]

Degree x Year

− 0.009 [− 0.029; 0.011]

− 0.022 [− 0.036; − 0.009]

− 0.038 [− 0.045; − 0.031]

No qualification x Year

− 0.106 [− 0.122; − 0.089]

− 0.179 [− 0.190; − 0.168]

− 0.017 [− 0.022; − 0.011]

HSE (ref. NHANES)

5.063 [3.649; 6.477]

3.771 [3.068; 4.473]

− 2.245 [− 2.542; − 1.949]

SHS

5.837 [4.134; 7.540]

4.235 [3.385; 5.085]

− 1.869 [− 2.230; − 1.508]

n

356766

356766

341099

m

201

201

201

  1. Coefficients \(\beta\) and 99% confidence intervals. m and n: number of random-effect strata levels and sample size, respectively. SBP, DBP systolic and diastolic blood pressure, BMI body-mass-index