Table 3.
The association of different risk factors with ASCVD by logistic regression analysis among individuals without established CVD and stratified by sex.a
| Characteristic | Overall | Men | Women | P two-way interaction b | P three-way interaction c | |||
|---|---|---|---|---|---|---|---|---|
| OR (95%CIs) | P-value | OR (95%CIs) | P-value | OR (95%CIs) | P-value | |||
| Age, year | 0.002 | − | ||||||
| 18 < 25 | 1.00 | 1.00 | 1.00 | |||||
| 25 < 35 | 1.71 (0.82–3.57) | 0.147 | 1.46 (0.63–3.36) | 0.370 | 2.96 (0.82–10.70) | 0.097 | ||
| 35 < 45 | 3.65 (1.64–8.13) | 0.002 | 3.71 (1.45–9.50) | 0.007 | 4.10 (1.20–13.97) | 0.025 | ||
| 45 < 55 | 12.63 (6.02–26.52) | <0.001 | 14.24 (5.95–34.10) | <0.001 | 15.71 (4.80–51.43) | <0.001 | ||
| 55 < 65 | 19.89 (9.23–42.86) | <0.001 | 18.12 (7.31–44.92) | <0.001 | 39.78 (12.14–130.41) | <0.001 | ||
| ≥65 | 24.43 (11.27–52.99) | <0.001 | 19.22 (7.76–47.58) | <0.001 | 58.15 (17.32–195.21) | <0.001 | ||
| Residence | 0.009 | 0.99 | ||||||
| Urban | 1.00 | 1.00 | 1.00 | |||||
| Rural | 1.25 (1.05–1.48) | 0.014 | 1.33 (0.99–1.77) | 0.055 | 0.77 (0.57–1.03) | 0.080 | ||
| Education level | 0.03 | 1.00 | ||||||
| Primary school or less | 1.00 | 1.00 | 1.00 | |||||
| Middle school/High school | 1.18 (0.95–1.47) | 0.124 | 0.84 (0.67–1.05) | 0.119 | 1.02 (0.78–1.32) | 0.904 | ||
| College or higher | 0.84 (0.60–1.18) | 0.308 | 0.48 (0.32–0.71) | 0.000 | 1.08 (0.69–1.69) | 0.741 | ||
| BMI | 0.56 | 0.96 | ||||||
| <24 | 1.00 | 1.00 | 1.00 | |||||
| 24 < 28 | 1.39 (1.15–1.68) | 0.001 | 1.38 (1.09–1.76) | 0.009 | 1.24 (1.02–1.51) | 0.028 | ||
| ≥28 | 2.26 (1.74–2.95) | <0.001 | 2.38 (1.63–3.46) | <0.001 | 1.92 (1.49–2.47) | <0.001 | ||
| Abdominal obesity | 1.35 (1.14–1.60) | 0.001 | 1.35 (1.07–1.69) | 0.012 | 1.41 (1.18–1.68) | <0.001 | 0.79 | 0.53 |
| Over drinking | 2.90 (1.94–4.33) | <0.001 | 2.29 (1.49–3.50) | <0.001 | 0.34 (0.10–1.19) | 0.091 | 0.003 | 0.91 |
| Sleep-debt | 1.27 (1.08–1.51) | 0.006 | 1.49 (1.13–1.97) | 0.006 | 0.97 (0.73–1.28) | 0.814 | 0.08 | 0.06 |
| Second-hand smoke exposure | 1.49 (1.25–1.78) | <0.001 | 1.56 (1.22–2.00) | 0.001 | 1.14 (0.92–1.40) | 0.223 | 0.003 | 0.16 |
| Abnormal HCY | 1.29 (1.10–1.52) | 0.002 | 1.03 (0.86–1.23) | 0.780 | 0.94 (0.76–1.17) | 0.592 | 0.12 | 0.99 |
| Renal function damage | 1.18 (0.97–1.45) | 0.105 | 1.05 (0.79–1.39) | 0.751 | 1.43 (1.23–1.66) | <0.001 | 0.04 | 0.05 |
| CVD family history | 1.06 (0.86–1.32) | 0.572 | 1.23 (0.88–1.72) | 0.225 | 0.93 (0.72–1.21) | 0.588 | 0.46 | 1.00 |
ASCVD, atherosclerotic cardiovascular disease; CVD, cardiovascular diseases; established CVD, including stroke, myocardial infarction, angina pectoris, heart bypass surgery, heart stent surgery; SE, standard error; OR, odds ratio; CIs, confidence intervals; BMI: body mass index; TG: triglycerides.
Using unconditional logistic regression based on complex sampling designs. The model was adjusted for age, residence, education level, BMI (<24/24 < 28/ ≥ 28), abdominal obesity, over drinking, sleep-debt, second-hand smoke exposure, abnormal HCY, renal function damage, CVD family history.
The interaction between sex and the risk of ASCVD was evaluated by multiplicative models by including the product term in multivariate logistic regression to test the variations in the associations between each risk factor and high 10-year ASCVD risk among men and women.
The interaction between sex, age group, and associated risk factors was evaluated by multiplicative models by including the product term in multivariate logistic regression to test the variations in the associations between risk factors with high 10-year ASCVD risk among men and women differed by age groups.