
Journal of Shanghai Jiao Tong University (Medical Science) ›› 2022, Vol. 42 ›› Issue (3): 282-289.doi: 10.3969/j.issn.1674-8115.2022.03.004
• Management of chronic cardiovascular and cerebrovascular diseases colum • Previous Articles Next Articles
JIANG Huiru1(
), LI Zheng1(
), MA Zhuoran2, WEI Lin1, YUAN Ancai1, HU Liuhua1, CHEN Xiaoyu3, GUO Yunyue3, ZHANG Wei1(
), PU Jun1(
)
Received:2022-01-29
Online:2022-03-28
Published:2022-05-09
Contact:
ZHANG Wei,PU Jun
E-mail:sunnyjiang1011@163.com;schoenlz@126.com;zhangwei050080@renji.com;pujun310@hotmail.com
Supported by:CLC Number:
JIANG Huiru, LI Zheng, MA Zhuoran, WEI Lin, YUAN Ancai, HU Liuhua, CHEN Xiaoyu, GUO Yunyue, ZHANG Wei, PU Jun. Baseline characteristics and lifestyle factors of single and co-morbidity of cardio-cerebrovascular diseases in Shanghai Community Elderly Cohort[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(3): 282-289.
Add to citation manager EndNote|Ris|BibTeX
URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2022.03.004
| Characteristic | Control group (n=14 905) | Single coronary heart disease group (n=2 050) | Single stroke group (n=724) | Cardio-cerebrovascular disease group (n=269) | F/χ2 value | P value |
|---|---|---|---|---|---|---|
| Age/year | 68.3±5.9 | 70.4±6.2① | 71.8±7.1①② | 73.2±7.0①②③ | 181.8 | 0.000 |
| Gender/n (%) | 105.4 | 0.000 | ||||
| Male | 7 088 (47.5) | 755 (36.8)① | 339 (46.8)② | 86 (32.0)①③ | ||
| Female | 7 817 (52.5) | 1 295 (63.2)① | 385 (53.2)② | 183 (68.0)①③ |
Tab 1 Baseline characteristics of Shanghai Community Elderly Cohort
| Characteristic | Control group (n=14 905) | Single coronary heart disease group (n=2 050) | Single stroke group (n=724) | Cardio-cerebrovascular disease group (n=269) | F/χ2 value | P value |
|---|---|---|---|---|---|---|
| Age/year | 68.3±5.9 | 70.4±6.2① | 71.8±7.1①② | 73.2±7.0①②③ | 181.8 | 0.000 |
| Gender/n (%) | 105.4 | 0.000 | ||||
| Male | 7 088 (47.5) | 755 (36.8)① | 339 (46.8)② | 86 (32.0)①③ | ||
| Female | 7 817 (52.5) | 1 295 (63.2)① | 385 (53.2)② | 183 (68.0)①③ |
| Comorbidity | Control group (n=14 905) | Single coronary heart disease group (n=2 050) | Single stroke group (n=724) | Cardio-cerebrovascular disease group (n=269) | F value | P value |
|---|---|---|---|---|---|---|
| Hypertension/n (%) | 8 136 (54.6) | 1 494 (72.9)① | 537 (74.2)① | 206 (76.6)① | 372.6 | 0.000 |
| Diabetes/n (%) | 2 302 (15.4) | 445 (21.7)① | 187 (25.8)① | 70 (26.0)① | 113.8 | 0.000 |
| Hyperlipidemia/n (%) | 1 295 (8.7) | 432 (21.1)① | 194 (26.8)①② | 103 (38.3)①④ | 666.9 | 0.000 |
| Digestive system disease/n (%) | 3 589 (24.1) | 765 (37.3)① | 286 (39.5)① | 148 (55.0)①③④ | 341.4 | 0.000 |
| Respiratory system disease/n (%) | 746 (5.0) | 215 (10.5)① | 62 (8.6)① | 49 (18.2)①③④ | 179.7 | 0.000 |
| Malignant tumor/n (%) | 396 (2.7) | 59 (2.9) | 27 (3.7) | 8 (3.0) | 3.3 | 0.350 |
Tab 2 Comorbidities of Shanghai Community Elderly Cohort
| Comorbidity | Control group (n=14 905) | Single coronary heart disease group (n=2 050) | Single stroke group (n=724) | Cardio-cerebrovascular disease group (n=269) | F value | P value |
|---|---|---|---|---|---|---|
| Hypertension/n (%) | 8 136 (54.6) | 1 494 (72.9)① | 537 (74.2)① | 206 (76.6)① | 372.6 | 0.000 |
| Diabetes/n (%) | 2 302 (15.4) | 445 (21.7)① | 187 (25.8)① | 70 (26.0)① | 113.8 | 0.000 |
| Hyperlipidemia/n (%) | 1 295 (8.7) | 432 (21.1)① | 194 (26.8)①② | 103 (38.3)①④ | 666.9 | 0.000 |
| Digestive system disease/n (%) | 3 589 (24.1) | 765 (37.3)① | 286 (39.5)① | 148 (55.0)①③④ | 341.4 | 0.000 |
| Respiratory system disease/n (%) | 746 (5.0) | 215 (10.5)① | 62 (8.6)① | 49 (18.2)①③④ | 179.7 | 0.000 |
| Malignant tumor/n (%) | 396 (2.7) | 59 (2.9) | 27 (3.7) | 8 (3.0) | 3.3 | 0.350 |
| Psychological status | Control group (n=14 905) | Single coronary heart disease group (n=2 050) | Single stroke group (n=724) | Cardio-cerebrovascular disease group (n=269) | F value | P value |
|---|---|---|---|---|---|---|
| Anxiety status/n (%) | 249.9 | 0.000 | ||||
| No-anxiety symptom | 14 600 (98.0) | 1 952 (95.2)① | 676 (93.4)①③ | 234 (87.0)①③⑨ | ||
| Mild-anxiety symptom | 237 (1.6) | 64 (3.1)① | 35 (4.8)①④ | 23 (8.6)①③⑩ | ||
| Moderate-anxiety symptom | 57 (0.4) | 32 (1.6)① | 9 (1.2)② | 8 (3.0)① | ||
| Severe-anxiety symptom | 11 (0.1) | 2 (0.1) | 4 (0.6)⑤ | 4 (1.5)⑥ | ||
| Depression status/n (%) | 291.3 | 0.000 | ||||
| No-depressive symptom | 14 406 (96.6) | 1 888 (92.1)① | 651 (89.9)① | 226 (84.0)①⑨ | ||
| Mild-depressive symptom | 410 (2.8) | 123 (6.0)① | 53 (7.3)① | 29 (10.8)①④⑦ | ||
| Moderate-depressive symptom | 88 (0.6) | 37 (1.8)① | 18 (2.5)② | 12 (4.5)①⑤⑧ | ||
| Major-depressive symptom | 1 (0.0) | 2 (0.1) | 2 (0.3) | 2 (0.7) |
Tab 3 Anxiety and depression levels of Shanghai Community Elderly Cohort
| Psychological status | Control group (n=14 905) | Single coronary heart disease group (n=2 050) | Single stroke group (n=724) | Cardio-cerebrovascular disease group (n=269) | F value | P value |
|---|---|---|---|---|---|---|
| Anxiety status/n (%) | 249.9 | 0.000 | ||||
| No-anxiety symptom | 14 600 (98.0) | 1 952 (95.2)① | 676 (93.4)①③ | 234 (87.0)①③⑨ | ||
| Mild-anxiety symptom | 237 (1.6) | 64 (3.1)① | 35 (4.8)①④ | 23 (8.6)①③⑩ | ||
| Moderate-anxiety symptom | 57 (0.4) | 32 (1.6)① | 9 (1.2)② | 8 (3.0)① | ||
| Severe-anxiety symptom | 11 (0.1) | 2 (0.1) | 4 (0.6)⑤ | 4 (1.5)⑥ | ||
| Depression status/n (%) | 291.3 | 0.000 | ||||
| No-depressive symptom | 14 406 (96.6) | 1 888 (92.1)① | 651 (89.9)① | 226 (84.0)①⑨ | ||
| Mild-depressive symptom | 410 (2.8) | 123 (6.0)① | 53 (7.3)① | 29 (10.8)①④⑦ | ||
| Moderate-depressive symptom | 88 (0.6) | 37 (1.8)① | 18 (2.5)② | 12 (4.5)①⑤⑧ | ||
| Major-depressive symptom | 1 (0.0) | 2 (0.1) | 2 (0.3) | 2 (0.7) |
| Lifestyle factor | Control group (n=14 905) | Single coronary heart disease group (n=2 050) | Single stroke group (n=724) | Cardio-cerebrovascular disease group (n=269) | F value | P value |
|---|---|---|---|---|---|---|
| Regular exercise/n (%) | 5 839 (39.2) | 765 (37.3) | 257 (35.5) | 79 (29.5)① | 15.9 | 0.010 |
| Sedentary habit/n (%) | 70 (0.5) | 10 (0.5) | 16 (2.2)②④ | 6 (2.2)③⑤ | 50.5 | 0.000 |
| Self-reported sleep status/n (%) | 442.8 | 0.000 | ||||
| Very good | 6 314 (42.4) | 527 (25.7)② | 179 (24.7)② | 49 (18.2)②④⑦ | ||
| Fairly good | 6 131 (41.1) | 970 (47.3)② | 348 (48.1)② | 116 (43.1)② | ||
| Fairly poor | 2 224 (14.9) | 484 (23.6)② | 168 (23.2)② | 87 (32.3)②④⑧ | ||
| Poor | 236 (1.6) | 69 (3.4)② | 29 (4.0)② | 17 (6.3)②⑥ |
Tab 4 Lifestyles of Shanghai Community Elderly Cohort
| Lifestyle factor | Control group (n=14 905) | Single coronary heart disease group (n=2 050) | Single stroke group (n=724) | Cardio-cerebrovascular disease group (n=269) | F value | P value |
|---|---|---|---|---|---|---|
| Regular exercise/n (%) | 5 839 (39.2) | 765 (37.3) | 257 (35.5) | 79 (29.5)① | 15.9 | 0.010 |
| Sedentary habit/n (%) | 70 (0.5) | 10 (0.5) | 16 (2.2)②④ | 6 (2.2)③⑤ | 50.5 | 0.000 |
| Self-reported sleep status/n (%) | 442.8 | 0.000 | ||||
| Very good | 6 314 (42.4) | 527 (25.7)② | 179 (24.7)② | 49 (18.2)②④⑦ | ||
| Fairly good | 6 131 (41.1) | 970 (47.3)② | 348 (48.1)② | 116 (43.1)② | ||
| Fairly poor | 2 224 (14.9) | 484 (23.6)② | 168 (23.2)② | 87 (32.3)②④⑧ | ||
| Poor | 236 (1.6) | 69 (3.4)② | 29 (4.0)② | 17 (6.3)②⑥ |
| 1 | VISSEREN F L J, MACH F, SMULDERS Y M, et al. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice[J]. Eur Heart J, 2021, 42(34): 3227-3337. |
| 2 | 国家统计局, 生态环境部. 中国环境统计年鉴(2020)[M]. 北京: 中国统计出版社, 2021. |
| 3 | 中国心血管健康与疾病报告编写组. 中国心血管健康与疾病报告2020概要[J]. 中国循环杂志, 2021, 36(6): 521-545. |
| 4 | 上海市统计局. 上海统计年鉴[M]. 北京: 中国统计出版社, 2010. |
| 5 | 《中国循环杂志》编辑部. 缺血性脑卒中是冠心病等危症[J]. 中国循环杂志, 2013, 28(1): 76. |
| 6 | PENNELLS L, KAPTOGE S, WOOD A, et al. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies[J]. Eur Heart J, 2019, 40(7): 621-631. |
| 7 | FUCHS F D, WHELTON P K. High blood pressure and cardiovascular disease[J]. Hypertension, 2020, 75(2): 285-292. |
| 8 | HERTTUA K, MARTIKAINEN P, BATTY G D, et al. Poor adherence to statin and antihypertensive therapies as risk factors for fatal stroke[J]. J Am Coll Cardiol, 2016, 67(13): 1507-1515. |
| 9 | RASHEED A, HABIB S, DAR M I, et al. Effect of risk factors like age, gender, hypertension, diabetes, smoking, dyslipidemia on coronary artery disease in Karachiites with angiographical data of local population: number, site, severity of coronary lesion[J]. Pak J Pharm Sci, 2014, 27(6 Spec No.): 2207-2212. |
| 10 | BARTNIK M, Rydén L, Ferrari R, et al. The prevalence of abnormal glucose regulation in patients with coronary artery disease across Europe: the Euro Heart Survey on diabetes and the heart[J]. Eur Heart J, 2004, 25(21): 1880-1890. |
| 11 | MOSENZON O, ALGUWAIHES A, et al. CAPTURE: a multinational, cross-sectional study of cardiovascular disease prevalence in adults with type 2 diabetes across 13 countries[J]. Cardiovasc Diabetol, 2021, 20(1): 154. |
| 12 | COLLABORATION E R F, SARWAR N, GAO P, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies[J]. Lancet, 2010, 375(9733): 2215-2222. |
| 13 | COLLABORATION E R F, ANGELANTONIO E D, KAPTOGE S, et al. Association of cardiometabolic multimorbidity with mortality[J]. JAMA, 2015, 314(1): 52-60. |
| 14 | OH H G, RHEE E J, KIM T W, et al. Higher glycated hemoglobin level is associated with increased risk for ischemic stroke in non-diabetic Korean male adults[J]. Diabetes Metab J, 2011, 35(5): 551-557. |
| 15 | LIND M, IMBERG H, COLEMAN R L, et al. Historical HbA1c values may explain the type 2 diabetes legacy effect: ukpds 88[J]. Diabetes Care, 2021, 44(10): 2231-2237. |
| 16 | GUASCH-FERRÉ M, BABIO N, MARTÍNEZ-GONZÁLEZ M A, et al. Dietary fat intake and risk of cardiovascular disease and all-cause mortality in a population at high risk of cardiovascular disease[J]. Am J Clin Nutr, 2015, 102(6): 1563-1573. |
| 17 | 中华医学会心血管病学分会动脉粥样硬化与冠心病学组, 中华心血管病杂志编辑委员会. 超高危动脉粥样硬化性心血管疾病患者血脂管理中国专家共识[J]. 中华心血管病杂志, 2020, 48(4): 280-286. |
| 18 | HARSHFIELD E L, PENNELLS L, SCHWARTZ J E, et al. Association between depressive symptoms and incident cardiovascular diseases[J]. JAMA, 2020, 324(23): 2396-2405. |
| 19 | SONG H, FANG F, ARNBERG F K, et al. Stress related disorders and risk of cardiovascular disease: population based, sibling controlled cohort study[J]. BMJ, 2019, 365: l1255. |
| 20 | ROSENGREN A, HAWKEN S, OUNPUU S, et al. Association of psychosocial risk factors with risk of acute myocardial infarction in 11 119 cases and 13 648 controls from 52 countries (the INTERHEART study): case-control study[J]. Lancet, 2004, 364(9438): 953-962. |
| 21 | LI H B, ZHENG D Q, LI Z W, et al. Association of depressive symptoms with incident cardiovascular diseases in middle-aged and older Chinese adults[J]. JAMA Netw Open, 2019, 2(12): e1916591. |
| 22 | CARNEY R M, FREEDLAND K E. Depression and coronary heart disease[J]. Nat Rev Cardiol, 2017, 14(3): 145-155. |
| 23 | VACCARINO V, BADIMON L, BREMNER J D, et al. Depression and coronary heart disease: 2018 position paper of the ESC working group on coronary pathophysiology and microcirculation[J]. Eur Heart J, 2020, 41(17): 1687-1696. |
| 24 | LANDAU W M, WILLEY J Z, ELKIND M S V. Physical activity and risk of ischemic stroke in the Northern Manhattan study[J]. Neurology, 2010, 75(1): 94. |
| 25 | CHOMISTEK A K, COOK N R, RIMM E B, et al. Physical activity and incident cardiovascular disease in women: is the relation modified by level of global cardiovascular risk?[J]. J Am Heart Assoc, 2018, 7(12): e008234. |
| 26 | TIKKANEN E, GUSTAFSSON S, INGELSSON E. Associations of fitness, physical activity, strength, and genetic risk with cardiovascular disease: longitudinal analyses in the UK biobank study[J]. Circulation, 2018, 137(24): 2583-2591. |
| 27 | ALVES A J, VIANA J L, CAVALCANTE S L, et al. Physical activity in primary and secondary prevention of cardiovascular disease: overview updated[J]. World J Cardiol, 2016, 8(10): 575-583. |
| 28 | KATZMARZYK P T, CHURCH T S, CRAIG C L, et al. Sitting time and mortality from all causes, cardiovascular disease, and cancer[J]. Med Sci Sports Exerc, 2009, 41(5): 998-1005. |
| 29 | MATTHEWS C E, GEORGE S M, MOORE S C, et al. Amount of time spent in sedentary behaviors and cause-specific mortality in US adults[J]. Am J Clin Nutr, 2012, 95(2): 437-445. |
| 30 | HELD C, IQBAL R, LEAR S A, et al. Physical activity levels, ownership of goods promoting sedentary behaviour and risk of myocardial infarction: results of the INTERHEART study[J]. Eur Heart J, 2012, 33(4): 452-466. |
| 31 | SALTIN B, BLOMQVIST G, MITCHELL J H, et al. Response to exercise after bed rest and after training[J]. Circulation, 1968, 38(5 Suppl): VII1-VII78. |
| 32 | LIPMAN R L, RASKIN P, LOVE T, et al. Glucose intolerance during decreased physical activity in man[J]. Diabetes, 1972, 21(2): 101-107. |
| 33 | BEY L, HAMILTON M T. Suppression of skeletal muscle lipoprotein lipase activity during physical inactivity: a molecular reason to maintain daily low-intensity activity[J]. J Physiol, 2003, 551(Pt 2): 673-682. |
| 34 | SABANAYAGAM C, SHANKAR A. Sleep duration and cardiovascular disease: results from the National Health Interview Survey[J]. Sleep, 2010, 33(8): 1037-1042. |
| 35 | AMAGAI Y, ISHIKAWA S, GOTOH T, et al. Sleep duration and incidence of cardiovascular events in a Japanese population: the Jichi Medical School cohort study[J]. J Epidemiol, 2010, 20(2): 106-110. |
| 36 | GANGWISCH J E. A review of evidence for the link between sleep duration and hypertension[J]. Am J Hypertens, 2014, 27(10): 1235-1242. |
| [1] | XU Tongtong, RUAN Huitong. Effects of hydrogel microspheres loaded with interleukin-4 on neural functional recovery by modulating the immune microenvironment after stroke [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2025, 45(9): 1161-1170. |
| [2] | LI Yaomin, XU Jianguo, YU Xia. Brugada phenocopy induced by heatstroke: a case report [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2025, 45(4): 523-528. |
| [3] | ZHONG Jiaqi, CAO Wenfei, ZHOU Huizhong, YANG Jiajun. Research progress in systemic complications induced by autonomic dysfunction after acute ischemic stroke [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(7): 928-934. |
| [4] | LI Ping, JIANG Huiru, YE Mengyue, WANG Yayu, CHEN Xiaoyu, YUAN Ancai, XU Wenjie, DAI Huimin, CHEN Xi, YAN Xiaoxiang, TU Shengxian, ZHENG Yuanqi, ZHANG Wei, PU Jun. Analysis of epidemiological characteristics of risk factors for cardiovascular diseases and malignant tumors based on the Shanghai community elderly cohort [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(5): 617-625. |
| [5] | CHEN Xiaochang, ZHANG Chen. Progress in non-pharmacological interventions for weight gain in schizophrenia [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(5): 635-640. |
| [6] | LI Yang, MA Jun, DU Yihong, XU Li, CHEN Hanfen, QIU Xunhan, JIANG Meng, PU Jun. Correlation between body compositions and cardiopulmonary fitness in patients with coronary heart disease [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(1): 72-78. |
| [7] | DONG Haiping, XIE Haiyi, MA Xiaoxiao, WANG Zhenhong. Mechanism of blood-brain barrier damage caused by the inhibition of Wnt7/β-catenin pathway induced by endoplasmic reticulum stress in cerebrovascular endothelial cells after stroke [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(7): 829-838. |
| [8] | WANG Yayu, JIANG Huiru, YE Mengyue, LI Ping, YUAN Ancai, ZHANG Wei, PU Jun. Association between stroke and physical activities in Shanghai Community Elderly Cohort [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(11): 1348-1358. |
| [9] | NI Ruilong, ZHAO Fei, CAO Li, DENG Jiangshan. Analysis of early efficacy and safety of endovascular therapy for acute mild ischemic stroke with large vessel occlusion [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(10): 1268-1273. |
| [10] | JIANG Wenqun, HOU Pinpin, CHEN Yan, JIA Feng, ZHANG Xiaohua, GAO Li, HU Qin. Characteristics and clinical significance of serum renalase in patients with acute ischemic stroke [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(1): 29-35. |
| [11] | LIU Xia, WEN Fule, ZHANG Yaqing. Path analysis of influencing factors of outpatient cardiac rehabilitation program participation of patients with coronary heart disease in Shanghai [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(8): 1110-1115. |
| [12] | WEI Xuemin, GAO Chengjin. Research progress of clinical application of ASPECT score in acute ischemic stroke [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(7): 919-924. |
| [13] | ZHANG Mengji, HUANG Lin, LI Zheng, MA Zhuoran, WEI Lin, YUAN Ancai, HU Liuhua, ZHANG Wei, QIAN Kun, PU Jun. Plasma metabolic signature of cardiovascular and cerebrovascular diseases from a large cohort study [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(3): 259-266. |
| [14] | ZHANG Tong, TIAN Xue, ZUO Yingting, ZHENG Manqi, ZHANG Yijun, WU Shouling, CHEN Shuohua, MA Gaoting, TONG Xu, WANG Anxin, MO Dapeng. Association of triglyceride-glucose index with cardiovascular disease in people without traditional risk factors [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(3): 267-274. |
| [15] | LIANG Cunyu, ZHAO Qian, SONG Ning, MEN Li, CHEN Qingjie, CHU Junkun, PU Jun, LI Xiaomei, YANG Yining. Evaluation of the management effect of "Internet+"-based wearable ECG devices in coronary heart disease patients undergoing PCI [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(3): 275-281. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||