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. 2022 Jan 12;8:799095. doi: 10.3389/fnut.2021.799095

Table 5.

Threshold effect analysis of iron, zinc and copper on the prevalence of total CVD risk using piecewise binary logistic regression models.

Inflection point group Mean difference (95% CI) P- value P for log likelihood ratio test
Iron (mg) 7.71 ≤7.71 0.83 (0.71–0.97) 0.018 0.221
>7.71 0.90 (0.84–0.97) 0.007
Zinc (mg) 6.61 ≤6.61 0.75 (0.66–0.86) <0.001 0.019
>6.61 0.90 (0.83–0.98) 0.012
Copper (mg) 0.74 ≤0.74 0.71 (0.61–0.83) <0.001 0.025
>0.74 0.86 (0.80–0.94) <0.001

OR, Odd ratio; CI, confidence interval.

Iron, zinc and copper were log 2 transformed for fitting the piecewise binary logistic regression model.

Analyses was adjusted for age, sex, race, education levels, poverty, smoking, drinking, BMI, total cholesterol, dietary supplement use, diabetes and hypertension.