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. 2024 Jun 27;12:1418385. doi: 10.3389/fpubh.2024.1418385

Table 2.

Weighted multivariate linear analysis SII and senescence for phenotypic age acceleration.

Characteristics Model 1 Model 2 Model 3
β (95% CI) p value β (95% CI) p value β (95% CI) p value
Log (SII) 3.89 (3.49, 4.28) <0.0001 4.34 (3.94, 4.75) <0.0001 3.7 (3.32, 4.09) <0.0001
Stratified by SII quartiles
Q1 1.00 (1.00, 1.00) 1.00 (1.00, 1.00) 1.00 (1.00, 1.00)
Q2 1.46 (1.02, 1.90) <0.0001 1.87 (1.44, 2.30) <0.0001 1.55 (1.15, 1.94) <0.0001
Q3 2.59 (2.14, 3.05) <0.0001 3.07 (2.61, 3.53) <0.0001 2.61 (2.20, 3.01) <0.0001
Q4 5.58 (5.10, 6.06) <0.0001 6.22 (5.75, 6.69) <0.0001 5.28 (4.85, 5.71) <0.0001

Model 1: unadjusted mode; Model 2: adjusted for age, sex, race; Model 3: additionally adjusted for age, sex, BMI, race/ethnicity, marital status, education, smoking, alcohol intake, poverty, diabetes, hypertension, CVD, cancer, and physical activity. Q1 represents the range of SII within [7.1505, 347.885]. Q2 represents the range of SII within [347.885, 482]. Q3 represents the range of SII within [482, 676]. Q4 represents the range of SII within [676, 7290.9375].