Journal of Shanghai Jiao Tong University (Medical Science) ›› 2023, Vol. 43 ›› Issue (11): 1366-1373.doi: 10.3969/j.issn.1674-8115.2023.11.004
• Cardiovascular and cerebrovascular chronic diseases column • Previous Articles
ZHAO Qian1(), WANG Ying1, HAMULATI Xieyire1, TUERXUN Gulijiehere1, LI Xiaomei1, YANG Yining1,2()
Received:
2023-04-03
Accepted:
2023-08-27
Online:
2023-11-28
Published:
2023-11-28
Contact:
YANG Yining
E-mail:tina0627@126.com;yangyn5126@163.com
Supported by:
CLC Number:
ZHAO Qian, WANG Ying, HAMULATI Xieyire, TUERXUN Gulijiehere, LI Xiaomei, YANG Yining. Correlation analysis between sleep quality and carotid atherosclerosis in low and moderate risk individuals for cardiovascular and cerebrovascular diseases[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(11): 1366-1373.
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URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2023.11.004
Characteristic variable | Total (n=1 528) | Carotid intima-media thickening/plaque formation (n=732) | |||
---|---|---|---|---|---|
685 (44.8) | 359 (49.0) | 326 (40.9) | 10.088 | 0.001 | |
49.4±8.2 | 52.4±7.4 | 46.6±7.9 | 14.948 | 0.000 | |
1 237 (81.0) | 558 (76.2) | 679 (85.4) | 20.872 | 0.000 | |
25.1±3.5 | 25.3±3.4 | 24.9±3.5 | 2.276 | 0.022 | |
283 (18.5) | 142 (19.4) | 141 (17.7) | 0.717 | 0.397 | |
83.8±10.5 | 84.9±9.8 | 82.7±10.9 | 4.064 | 0.000 | |
714 (46.7) | 361 (49.3) | 353 (44.3) | 3.884 | 0.049 | |
60 (3.9) | 40 (5.5) | 20 (2.5) | 8.808 | 0.003 | |
126.3±15.2 | 128.7±15.3 | 124.1±14.9 | 5.941 | 0.000 | |
79.4±10.9 | 78.7±10.8 | 80.2±10.9 | 2.613 | 0.009 | |
707 (46.3) | 377 (51.5) | 330 (41.4) | 15.478 | 0.000 | |
1.33 (0.95, 1.95) | 1.44 (1.06, 2.04) | 1.24 (0.89, 1.85) | 5.342 | 0.000 | |
5.03±0.98 | 5.18±1.02 | 4.90±0.93 | 5.621 | 0.000 | |
3.32±0.77 | 3.44±0.79 | 3.21±0.73 | 5.735 | 0.000 | |
1.23±0.28 | 1.22±0.28 | 1.24±0.28 | 1.030 | 0.303 | |
159 (21.7) | 127 (15.9) | 8.334 | 0.004 | ||
164 (22.4) | 111 (13.9) | 18.491 | 0.000 | ||
83 (11.3) | 51 (6.4) | 11.592 | 0.001 | ||
37 (5.1) | 18 (2.3) | 8.574 | 0.003 | ||
22 (3.0) | 13 (1.6) | 3.208 | 0.073 | ||
22 | 29 | 0.480 | 0.488 | ||
7.43±2.51 | 7.06±2.13 | 3.135 | 0.001 | ||
89 (12.1) | 52 (6.5) | 14.409 | 0.001 | ||
904 (59.2) | 444 (60.6) | 460 (57.7) | 1.297 | 0.255 | |
2.969 | 0.227 | ||||
High level | 110 (7.2) | 59 (8.1) | 51 (6.4) | ||
Moderate level | 1 138 (74.5) | 549 (75.0) | 589 (74.0) | ||
Low level | 280 (18.3) | 124 (16.9) | 156 (19.6) | ||
4.88±1.22 | 4.97±1.20 | 4.81±1.23 | 2.557 | 0.010 |
Tab 1 Baseline analysis of carotid atherosclerosis in low and moderate risk individuals for cardiovascular and cerebrovascular diseases
Characteristic variable | Total (n=1 528) | Carotid intima-media thickening/plaque formation (n=732) | |||
---|---|---|---|---|---|
685 (44.8) | 359 (49.0) | 326 (40.9) | 10.088 | 0.001 | |
49.4±8.2 | 52.4±7.4 | 46.6±7.9 | 14.948 | 0.000 | |
1 237 (81.0) | 558 (76.2) | 679 (85.4) | 20.872 | 0.000 | |
25.1±3.5 | 25.3±3.4 | 24.9±3.5 | 2.276 | 0.022 | |
283 (18.5) | 142 (19.4) | 141 (17.7) | 0.717 | 0.397 | |
83.8±10.5 | 84.9±9.8 | 82.7±10.9 | 4.064 | 0.000 | |
714 (46.7) | 361 (49.3) | 353 (44.3) | 3.884 | 0.049 | |
60 (3.9) | 40 (5.5) | 20 (2.5) | 8.808 | 0.003 | |
126.3±15.2 | 128.7±15.3 | 124.1±14.9 | 5.941 | 0.000 | |
79.4±10.9 | 78.7±10.8 | 80.2±10.9 | 2.613 | 0.009 | |
707 (46.3) | 377 (51.5) | 330 (41.4) | 15.478 | 0.000 | |
1.33 (0.95, 1.95) | 1.44 (1.06, 2.04) | 1.24 (0.89, 1.85) | 5.342 | 0.000 | |
5.03±0.98 | 5.18±1.02 | 4.90±0.93 | 5.621 | 0.000 | |
3.32±0.77 | 3.44±0.79 | 3.21±0.73 | 5.735 | 0.000 | |
1.23±0.28 | 1.22±0.28 | 1.24±0.28 | 1.030 | 0.303 | |
159 (21.7) | 127 (15.9) | 8.334 | 0.004 | ||
164 (22.4) | 111 (13.9) | 18.491 | 0.000 | ||
83 (11.3) | 51 (6.4) | 11.592 | 0.001 | ||
37 (5.1) | 18 (2.3) | 8.574 | 0.003 | ||
22 (3.0) | 13 (1.6) | 3.208 | 0.073 | ||
22 | 29 | 0.480 | 0.488 | ||
7.43±2.51 | 7.06±2.13 | 3.135 | 0.001 | ||
89 (12.1) | 52 (6.5) | 14.409 | 0.001 | ||
904 (59.2) | 444 (60.6) | 460 (57.7) | 1.297 | 0.255 | |
2.969 | 0.227 | ||||
High level | 110 (7.2) | 59 (8.1) | 51 (6.4) | ||
Moderate level | 1 138 (74.5) | 549 (75.0) | 589 (74.0) | ||
Low level | 280 (18.3) | 124 (16.9) | 156 (19.6) | ||
4.88±1.22 | 4.97±1.20 | 4.81±1.23 | 2.557 | 0.010 |
Item | aOR | 95%CI | P value |
---|---|---|---|
Age | 1.10 | 1.085-1.120 | 0.000 |
Gender | 1.58 | 1.201-2.085 | 0.001 |
Education level | 0.76 | 0.505-1.132 | 0.174 |
BMI | 1.01 | 0.972-1.058 | 0.521 |
Abdominal obesity | 0.88 | 0.668-1.164 | 0.373 |
Diabetes | 1.72 | 0.958-3.094 | 0.069 |
Smoking | 1.22 | 0.875-1.687 | 0.245 |
High blood pressure | 1.14 | 0.906-1.428 | 0.269 |
LDL-C | 1.41 | 0.846-2.353 | 0.187 |
TAG | 1.05 | 0.943-1.181 | 0.352 |
TC | 0.89 | 0.591-1.341 | 0.578 |
Dietary diversity score | 1.10 | 0.999-1.201 | 0.052 |
Poor sleep quality | 1.22 | 1.001-1.492 | 0.040 |
Tab 2 Multivariate Logistic regression analysis of carotid atherosclerosis in low and moderate risk individuals for cardiovascular and cerebrovascular diseases
Item | aOR | 95%CI | P value |
---|---|---|---|
Age | 1.10 | 1.085-1.120 | 0.000 |
Gender | 1.58 | 1.201-2.085 | 0.001 |
Education level | 0.76 | 0.505-1.132 | 0.174 |
BMI | 1.01 | 0.972-1.058 | 0.521 |
Abdominal obesity | 0.88 | 0.668-1.164 | 0.373 |
Diabetes | 1.72 | 0.958-3.094 | 0.069 |
Smoking | 1.22 | 0.875-1.687 | 0.245 |
High blood pressure | 1.14 | 0.906-1.428 | 0.269 |
LDL-C | 1.41 | 0.846-2.353 | 0.187 |
TAG | 1.05 | 0.943-1.181 | 0.352 |
TC | 0.89 | 0.591-1.341 | 0.578 |
Dietary diversity score | 1.10 | 0.999-1.201 | 0.052 |
Poor sleep quality | 1.22 | 1.001-1.492 | 0.040 |
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