Table 2 Cross-sectional stepwise multivariable linear regression modelling for homoarginine (hArg) (n = 2057).

From: The biomarker and causal roles of homoarginine in the development of cardiometabolic diseases: an observational and Mendelian randomization analysis

Explanatory variable

β

95% CI

P-value

Male sex

0.14

[0.10, 0.17]

4.1 × 10−13

Body mass index (kg/m2)

0.014

[0.0093, 0.018]

1.2 × 10−9

Daily smoking

−0.089

[−0.12, −0.056]

1.3 × 10−7

Age (years)

−0.0067

[−0.0097, −0.0038]

7.8 × 10−6

lnSHBG (nmol/L)

0.061

[0.032, 0.089]

3.2 × 10−5

lnTriglycerides (mmol/L)

0.045

[0.019, 0.072]

8.2 × 10−4

LDL cholesterol (mmol/L)

0.022

[0.0045, 0.040]

0.014

lnCRP (mg/L)

0.016

[0.0023, 0.029]

0.021

  1. Statistics: In the bi-directional stepwise regression modelling applied, serum hArg was used as a dependent variable and all the variables shown in Table 1 and lnSHBG as explanatory variables. Those variables that were selected by Akaike’s information criterion (AIC) using the stepAIC R function with the default settings and had a p-value < 0.05 are shown above. HArg, SHBG, triglycerides and CRP were natural log-transformed. For the continuous variables, β (95% CI) are shown for each 1‐unit change in the variable. Abbreviations: SHBG, sex hormone-binding globulin; LDL, low-density lipoprotein; CRP, C-reactive protein.
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