Table 2.
Quartiles of BMI D-Value | Range (kg/m2) | Hypertension Cases (n) | No. of Subjects (n) | OR (95% CI) | |
---|---|---|---|---|---|
Model 1 a | Model 2 b | ||||
Men (n 1441) | |||||
Quartile 1 | <−0.4783 | 75 | 360 | 1.000 | 1.000 |
Quartile 2 | −0.4783–0.4920 | 77 | 360 | 1.460 (0.989–2.156) | 1.448 (0.979–2.141) |
Quartile 3 | 0.4921–1.6977 | 68 | 361 | 1.165 (0.783–1.731) | 1.138 (0.764–1.696) |
Quartile 4 | ≥1.6978 | 92 | 360 | 2.289 (1.552–3.376) c | 2.303 (1.560–3.401) c |
p for trend | <0.001 | 0.004 | |||
Women (n 1774) | |||||
Quartile 1 | <−0.5953 | 73 | 443 | 1.000 | 1.000 |
Quartile 2 | −0.5953–0.4732 | 68 | 444 | 1.091 (0.741–1.606) | 1.095 (0.743–1.613) |
Quartile 3 | 0.4733–1.5054 | 66 | 444 | 1.157 (0.783–1.711) | 1.152 (0.778–1.706) |
Quartile 4 | ≥1.5055 | 87 | 443 | 1.755 (1.207–2.552) c | 1.745 (1.199–2.540) c |
p for trend | <0.001 | 0.004 |
Notes: BMI, body mass index; D-value, difference value between follow-up and baseline; OR, odds ratio; CI, confidence interval. a Logistic regression models were used, adjusting for age, BMI, SBP and DBP at baseline; b Logistic regression models were used, adjusting for variables in model 1 as well as smoking habits, alcohol consumption and place of residence at baseline; c Significantly greater odds, p < 0.05.