Table 1.
Characteristics of the total study population.
| Characteristics | Total (n = 1,459) | Good sleep (n = 579) | General sleep (n = 649) | Poor sleep (n = 231) | P-value |
|---|---|---|---|---|---|
| Age, years | 57.4 (9.7) | 55.6 (9.0) | 58.0 (10.0) | 60.3 (9.6) | <0.001 |
| Male, n (%) | 598 (41%) | 271 (46.8%) | 264 (40.6%) | 63 (27.3%) | <0.001 |
| Education, years | 7.0 (4.9) | 8.0 (6.9) | 7.0 (4.9) | 6.0 (2.8) | <0.001 |
| Hypertendion, n (%) | 375 (24.7%) | 111 (19.2%) | 184 (28.4%) | 80 (34.6%) | <0.001 |
| Diabetes mellitus, n (%) | 171 (11.7%) | 59 (10.2%) | 83 (12.8%) | 29 (12.6%) | 0.247 |
| Cardiovascular disease, n (%) | 77 (5.3%) | 16 (2.8%) | 38 (5.9%) | 23 (10%) | 0.001 |
| Cerebrovascular disease, n (%) | 106 (7.3%) | 31 (5.4%) | 53 (8.2%) | 22 (9.5%) | 0.139 |
| Smoking, n (%) | 461 (31.6%) | 207 (35.8%) | 206 (31.7%) | 48 (20.8%) | 0.001 |
| Drinking, n (%) | 176 (12.1%) | 77 (13.3%) | 75 (11.6%) | 24 (10.4%) | 0.394 |
| Lack of physical activity, n (%) | 337 (19.8%) | 11 (16.7%) | 153 (20.5%) | 74 (25.3%) | 0.008 |
| BMI (kg/m2) | 25.3 (3.5) | 25.3 (3.1) | 25.2 (3.8) | 25.3 (3.3) | 0.402 |
| Pulse rate | 74.1 (10.4) | 73.9 (10.1) | 74.0 (10.9) | 74.9 (9.7) | 0.391 |
| Mean artery pressure, mmHg | 96.1 (12.0) | 95.5 (11.7) | 96.4 (11.8) | 96.5 (13.2) | 0.298 |
| Fasting blood glucose, mmol/l | 5.7 (1.5) | 5.7 (1.8) | 5.7 (1.4) | 5.7 (1.3) | 0.807 |
| Total cholesteral, mmol/l | 5.16 (1.06) | 5.13 (0.99) | 5.21 (1.10) | 5.11 (1.13) | 0.279 |
| TG, mmol/l | 1.60 (1.11) | 1.61 (0.92) | 1.56 (1.25) | 1.68 (1.17) | 0.369 |
| Low-density lipoprotein, mmol/l | 2.62 (0.74) | 2.64 (0.81) | 2.64 (0.68) | 2.53 (0.66) | 0.152 |
| High-density lipoprotein, mmol/l | 1.60 (0.38) | 1.58 (0.36) | 1.63 (0.42) | 1.60 (0.34) | 0.073 |
| APOE ε4 carriers, n (%) | 184(12.6%) | 68 (11.8%) | 80 (12.3%) | 36 (29.2%) | 0.322 |
One-way ANOVA or the Kruskal–Wallis test was used to compare the difference between the approximately normally distributed continuous variables among different sleep groups. The Kruskal–Wallis test and the median (quartile) were used for the skew distributional data and the Chi-square test, and the percentage was used for categorical variables. Data are mean (SD), median (interquartile range), or number (percentage). SD, standard deviation; BMI, body mass index; TG, triglyceride.