Table 4 Linear regression analysis for the associations between uric acid (UA) and the risk of biological age acceleration, weighted.

From: Association of uric acid to high-density cholesterol ratio (UHR) with biological age acceleration: evidence from NHANES 2009–2018

 

Model 1

Model 2

Model 3

β (95%CI)

p-value

β (95%CI)

p-value

β (95%CI)

p-value

Phenotypic age acceleration

Continuous†

1.52 (1.46,1.58)

< 0.001

1.09 (1.02,1.15)

< 0.001

0.90 (0.84,0.96)

< 0.001

Categories

Tertiles 1

Reference

Reference

Reference

Tertiles 2

2

1.62 (1.47,1.76)

< 0.001

0.92 (0.77,1.06)

< 0.001

0.75 (0.62,0.89)

< 0.001

Tertiles 3

3.33 (3.19,3.48)

< 0.001

2.14 (1.98,2.30)

< 0.001

1.74 (1.59,1.89)

< 0.001

p for trend

< 0.001

< 0.001

< 0.001

KDM age acceleration

Continuous†

1.88 (1.78,1.98)

< 0.001

2.18 (2.07,2.29)

< 0.001

1.99 (1.88,2.10)

< 0.001

Categories

Tertiles 1

Reference

Reference

Reference

Tertiles 2

1.04 (0.80,1.29)

< 0.001

1.29 (1.04,1.54)

< 0.001

1.12 (0.88,1.37)

< 0.001

Tertiles 3

3.67 (3.41,3.92)

< 0.001

4.10 (3.83,4.38)

< 0.001

3.68 (3.41,3.95)

< 0.001

p for trend

< 0.001

< 0.001

< 0.001

  1. Model 1 was crude model. Model 2 was adjusted for age, sex, and race. Model 3 was further adjusted for education level, alcohol consumption, smoking status, cardiovascular disease, hypertension, diabetes, cancer, and physical activity. Continuous†, standardized uric acid. p for trend was tested by incorporating the variables of the median of each quartile into the regression model.
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