Table 2.
Associations between leucocyte telomere length and stroke in the first case/control study of Southern Chinese population.
Variables | Highest tertile (>2.06) | Middle tertile (1.52–2.06) | Lowest tertile (<1.52) | P trend | Per 1-S.D. decrease in Ln-transformed telomere length | P |
---|---|---|---|---|---|---|
Controls (n = 616) | 206 | 205 | 205 | |||
Total cases (n = 543) | 179 | 147 | 217 | |||
ORs (95% CI) | ||||||
No adjustment | 1.0 | 0.83 (0.62–1.11) | 1.22 (0.92–1.61) | 0.03 | 1.11 (1.00–1.22) | 0.048 |
Model I | 1.0 | 0.79 (0.55–1.13) | 1.04 (0.74–1.47) | 0.23 | 1.07 (0.95–1.21) | 0.27 |
Model II | 1.0 | 0.82 (0.56–1.20) | 1.05 (0.72–1.51) | 0.38 | 1.07 (0.94–1.22) | 0.33 |
Hemorrhagic stroke (n = 94) | 33 | 21 | 40 | |||
ORs (95% CI) | ||||||
No adjustment | 1.0 | 0.64 (0.36–1.14) | 1.22 (0.74–2.01) | 0.08 | 1.16 (0.96–1.42) | 0.13 |
Model I | 1.0 | 0.82 (0.34–1.97) | 0.91 (0.40–2.07) | 0.91 | 1.08 (0.80–1.46) | 0.61 |
Model II | 1.0 | 0.73 (0.27–1.97) | 0.89 (0.36–2.20) | 0.82 | 1.05 (0.75–1.46) | 0.78 |
Atherothrombotic stroke (n = 224) | 51 | 67 | 106 | |||
ORs (95% CI) | ||||||
No adjustment | 1.0 | 1.32 (0.87–1.99) | 2.09 (1.42–3.07) | 0.001 | 1.39 (1.21–1.60) | <0.001 |
Model I | 1.0 | 1.47 (0.90–2.40) | 2.39 (1.50–3.80) | 0.001 | 1.49 (1.26–1.75) | <0.001 |
Model II | 1.0 | 1.43 (0.84–2.41) | 2.33 (1.42–3.83) | 0.003 | 1.48 (1.24–1.76) | <0.001 |
Lacunar infarction (n = 225) | 95 | 59 | 71 | |||
ORs (95% CI) | ||||||
No adjustment | 1.0 | 0.62 (0.43–0.91) | 0.75 (0.52–1.08) | 0.04 | 0.87 (0.75–1.00) | 0.053 |
Model I | 1.0 | 0.50 (0.31–0.79) | 0.51 (0.32–0.80) | 0.003 | 0.74 (0.61–0.88) | 0.001 |
Model II | 1.0 | 0.52 (0.31–0.85) | 0.49 (0.30–0.81) | 0.007 | 0.72 (0.59–0.88) | 0.001 |
The cut-off values of tertile of leucocyte telomere length (relative T/S ratio) were derived from the control group, with <1.52 for the lowest, 1.52–2.06 for the middle and >2.06 for the highest tertile (as the reference). OR (95% CI) was obtained with multivariate logistic regression analysis.
Model I: adjustment for age, gender, systolic and diastolic BP, fasting glucose, total cholesterol, triglycerides, plasma uric acid, and body mass index.
Model II: adjustment for the covariates mentioned above plus smoking status, alcohol intake, history of hypertension, diabetes, and previous CHD.