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. 2022 Aug 12;9:941926. doi: 10.3389/fnut.2022.941926

TABLE 5.

Threshold effect analysis of BMI and WC on albuminuria using a two-piecewise linear regression model.

BMI WC
Fitting by standard linear model
OR1 (95% CI2), 1.00 (0.99, 1.01) 11.00 (1.00, 1.01)
P-value 0.4177 0.1674
Fitting by two-piecewise linear model
Breakpoint (K) 22.57 80.30
OR1 (< 11.11) 0.80 (0.75, 0.84) < 0.0001 0.91 (0.88, 0.93) < 0.0001
OR2 (> 11.11) 1.02 (1.01, 1.03)
0.0007
1.01 (1.00, 1.01)
0.0001
OR2/OR1 1.28 (1.20, 1.36) < 0.0001 1.11 (1.08, 1.14) < 0.0001
Logarithmic likelihood ratio test P-value < 0.001 < 0.001

BMI, body mass index; WC, waist circumference. Age, race, education level, body mass index, serum creatinine, serum uric acid, SBP, DBP, total cholesterol, triglycerides, fasting plasma glucose, hemoglobin A1c, HDL-C, LDL-C, ALT, AST, smoking, hypertension, and diabetes status were adjusted.

1OR: Odds ratio.

295% CI: 95% confidence interval.