Genetic Predisposition and Salt Sensitivity in a Chinese Han Population: The EpiSS Study
Table 4
Effect size of risk factors associated with salt sensitivity.
SSH vs non-SSH
SSH vs SRH
SSN vs SRN
OR (95% CI)
OR (95% CI)
OR (95% CI)
Age (years)
1.019 (0.981, 1.058)
0.338
0.985 (0.949, 1.023)
0.442
0.986 (0.953, 1.020)
0.421
Sex (male)
1.453 (0.681, 3.101)
0.334
1.654 (0.840, 3.260)
0.146
0.505 (0.245, 1.043)
0.065
Smoking habits
2.243 (1.031, 4.880)
0.042
1.795 (0.797, 4.041)
0.158
1.348 (0.595, 3.054)
0.475
Dyslipidemia
1.427 (0.808, 2.521)
0.221
1.057 (0.599, 1.867)
0.848
1.057 (0.599, 1.867)
0.848
Diabetes
1.055 (0.552, 2.016)
0.870
0.789 (0.401, 1.553)
0.493
0.852 (0.487, 1.489)
0.574
BMI
1.072 (0.987, 1.165)
0.100
0.988 (0.908, 1.074)
0.775
1.020 (0.935, 1.112)
0.658
PRS, 1st tertile
Ref
—
Ref
—
Ref
—
PRS, 2nd tertile
0.954 (0.486, 1.872)
0.891
1.369 (0.703, 2.666)
0.356
2.179 (1.154, 4.116)
0.016
PRS, 3rd tertile
1.277 (0.657, 2.482)
0.470
1.654 (1.221, 6.314)
0.146
2.281 (1.189, 4.376)
0.013
SSH, salt sensitivity hypertension; SRH, salt resistance hypertension; SSN, salt sensitivity normotensives; SRN, salt resistance normotensives; BMI, Body Mass Index. Logistic regression was used. Independent variables were age, sex, smoking habits, diabetes, dyslipidemia, BMI, and PRS tertile. .
