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Table 2 Naïve ordinary least squares regression results

From: Mendelian randomization: estimation of inpatient hospital costs attributable to obesity

Covariate Continuous BMI Binary BMI
Coefficient SE P-value 95% CI Coefficient SE P-value 95% CI
Low High Low High
BMI 21.611 0.652 < 0.001 20.333 22.889 205.527 7.183 < 0.001 191.449 219.604
Age −49.341 5.492 < 0.001 −60.106 −38.577 −47.531 5.493 < 0.001 −58.297 −36.765
Age squared 0.619 0.050 < 0.001 0.522 0.716 0.608 0.050 < 0.001 0.511 0.705
Sex − 644.472 43.352 < 0.001 − 729.441 − 559.502 − 606.837 43.339 < 0.001 −691.779 − 521.895
Sex and Age Interaction 11.591 0.758 < 0.001 10.104 13.077 11.155 0.758 < 0.001 9.669 12.641
Townsend index 8.979 1.034 < 0.001 6.952 11.005 9.544 1.034 < 0.001 7.518 11.571
Smoking Status 126.316 10.150 < 0.001 106.423 146.209 120.019 10.147 < 0.001 100.131 139.907
Black 104.144 25.287 < 0.001 54.583 153.706 116.879 25.284 < 0.001 67.324 166.435
Mixed 26.561 43.427 0.541 −58.555 111.676 25.539 43.440 0.557 −59.601 110.680
Asian 36.939 20.968 0.078 −4.157 78.036 32.292 20.972 0.124 −8.813 73.396
Other 30.554 28.049 0.276 −24.422 85.530 32.230 28.057 0.251 −22.761 87.222
Intercept 778.239 151.054 < 0.001 482.178 1074.300 1250.700 150.661 < 0.001 955.409 1545.990
R2 0.012 0.012
Adjusted R2 0.012 0.012
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Health Economics Review

ISSN: 2191-1991

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