Table 3.
Association detection with logistic regression models and causal inference after propensity score weighting analysis
| Cut value (mmol/l) | Odds ratio by multivariate logistic regression | P value | Before or after propensity score weighting | |
|---|---|---|---|---|
| Model 1a | 0.96–1.14 | reference | before | |
| < 0.96 | 1.28 (1.14 ~ 1.41) | <.001 | ||
| 1.14–1.35 | 0.91 (0.80 ~ 1.03) | 0.15 | ||
| > 1.35 | 0.75 (0.64 ~ 0.85) | <.001 | ||
| Model 2b | < 1.03 vs ≥ 1.03 | 1.40 (1.27 ~ 1.52) | <.001 | before |
| Model 3c | < 1.03 vs ≥ 1.03 | 1.32 (1.21–1.46) | <.001 | after |
a: multivariate logistic regression model without propensity score weighting, the HDL was cut by quantile
b: multivariate logistic regression model without propensity score weighting, the HDL was cut by 1.03 mmol/l.
c: multivariate logistic regression model after propensity score weighting, the HDL was cut by 1.03 mmol/l.