北京大学学报(医学版) ›› 2023, Vol. 55 ›› Issue (3): 465-470. doi: 10.19723/j.issn.1671-167X.2023.03.012

• 论著 • 上一篇    下一篇

中国中老年人群抑郁症状、缺血性心血管疾病10年风险对心血管疾病的联合影响

张紫薇,花语蒙,刘爱萍*()   

  1. 北京大学公共卫生学院社会医学与健康教育系,北京 100191
  • 收稿日期:2023-02-28 出版日期:2023-06-18 发布日期:2023-06-12
  • 通讯作者: 刘爱萍 E-mail:apingliu@bjmu.edu.cn

Joint association of depression symptoms and 10-year risk of ischemic cardiovascular disease with the cardiovascular disease in middle-aged and elderly people in China

Zi-wei ZHANG,Yu-meng HUA,Ai-ping LIU*()   

  1. Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
  • Received:2023-02-28 Online:2023-06-18 Published:2023-06-12
  • Contact: Ai-ping LIU E-mail:apingliu@bjmu.edu.cn

摘要:

目的: 探讨抑郁症状与缺血性心血管疾病10年风险对心血管疾病(cardiovascular disease, CVD)发生的联合影响。方法: 基于中国健康与养老追踪调查(China Health and Retirement Longitudinal Study, CHARLS)数据库中的2011年基线数据和2013年、2015年、2018年随访队列数据,对2011年基线抑郁症状、缺血性心血管疾病10年风险分布特征进行描述,采用Cox生存分析模型分析抑郁症状和缺血性心血管疾病10年风险对CVD的单独、独立和联合关联。结果: 共纳入研究对象9 412例,基线抑郁症状检出率为44.7%,缺血性心血管疾病10年中高风险比例为13.62%。平均随访6.19(6.19±1.66)年中,总计观察58 258人年,1 401例中老年人发生了心血管疾病,发病密度为24.048/千人年。调整因素后,单独影响中,有抑郁症状者的CVD发生危险高(HR=1.263,95%CI: 1.133~1.408),缺血性心血管疾病10年中高风险者的CVD发生危险高(HR=1.892,95%CI: 1.662~2.154)。独立影响因素中,有抑郁症状者CVD发生危险高(HR=1.269,95%CI: 1.138~1.415),缺血性心血管疾病10年中高风险者的CVD发生危险高(HR=1.898,95%CI: 1.668~2.160)。联合影响结果显示有抑郁症状且缺血性心血管疾病10年低风险、无抑郁症状且缺血性心血管疾病10年中高风险、抑郁症状合并缺血性心血管疾病10年中高风险人群发生CVD分别是无抑郁症状且缺血性心血管疾病10年低风险人群的1.390、2.149、2.339倍(P < 0.001)。结论: 缺血性心血管疾病10年中高风险人群叠加抑郁症状会加剧中老年人心血管疾病发生的风险,结合实际开展生活方式干预和生理指标健康管理的同时,应重视中老年人群的心理健康干预。

关键词: 抑郁症状, 缺血性心血管病, 心血管疾病, 联合影响

Abstract:

Objective: To explore joint association of depression symptoms and 10-year risk of ischemic cardiovascular disease (CVD) in middle-aged and elderly people in China. Methods: Based on China Health and Retirement Longitudinal Study(CHARLS)database using 2011 baseline data and the follow-up cohort data of 2013, 2015 and 2018, describe the distribution characteristics of baseline depressive symptoms and 10-year risk of ischemic cardiovascular disease in 2011. Cox survival analysis model was used to analyze the individual, independent and joint association of depression symptoms and 10-year risk of ischemic cardiovascular disease with cardiovascular disease. Results: A total of 9 412 subjects were enrolled. The detection rate of depressive symptoms at baseline was 44.7%, and the 10-year middle and high risk of ischemic cardiovascular disease was 13.62%. During an average follow-up of 6.19 (6.19±1.66) years, 1 401 cases of cardiovascular disease were diagnosed in 58 258 person-years, revealing an overall incidence density of 24.048/1 000 person-years. After adjusting the factors, in terms of individual impact, the participants with depressive symptoms had a higher risk of developing CVD (HR=1.263, 95%CI: 1.133-1.408), while medium to high risk of ischemic cardiovascular disease had a higher risk of developing CVD (HR=1.892, 95%CI: 1.662-2.154). Among independent influences, participants with depressive symptoms had a higher risk of developing CVD (HR=1.269, 95% CI: 1.138-1.415), while medium to high risk of 10-year risk of ischemic cardiovascular disease had a higher risk of developing CVD (HR=1.898, 95%CI: 1.668-2.160). Joint impact result showed the incidence of cardiovascular disease in the low risk of 10-year risk of ischemic cardiovascular disease with depressive symptoms group, middle and high risk of 10-year risk of ischemic cardiovascular disease without depressive symptoms group, and 10-year middle and high risk of ischemic cardiovascular disease with depressive symptoms group were 1.390, 2.149, and 2.339 times higher than that of low risk of 10-year risk of ischemic cardiovascular disease without depressive symptoms (P < 0.001). Conclusion: The superimposed depression symptoms of the middle and high-risk population at the 10-year risk of ischemic cardiovascular disease will aggravate the risk of cardiovascular disease in middle-aged and elderly people. In combination with the actual lifestyle intervention and physical index health management, attention should be paid to mental health intervention.

Key words: Depressive symptoms, Ischemic cardiovascular disease, Cardiovascular disease, Joint association

中图分类号: 

  • R193.3

表1

基线抑郁症状与ICVD风险的人群分布特征"

Characteristics nDepressive symptoms ICVD risk level
No, n(%) Yes, n(%) χ2 P Low risk, n(%) Moderately-high-risk, n(%) χ2 P
Age/years
  45- 3 734 2 114 (56.61) 1 620 (43.39) 7.186 0.066 3 552 (95.13) 182 (4.87) 483.120 < 0.001
  55- 3 451 1 906 (55.23) 1 545 (44.77) 2 886 (83.63) 565 (16.37)
  65- 1 644 883 (53.71) 761 (46.29) 1 275 (77.55) 369 (22.45)
  75- 583 302 (51.80) 281 (48.20) 417 (71.53) 166 (28.47)
Gender
  Male 4 526 2 819 (62.3) 1 707 (37.7) 171.980 < 0.001 4 058 (89.7) 468 (10.3) 79.753 < 0.001
  Female 4 886 2 386 (48.8) 2 500 (51.2) 4 072 (83.3) 814 (16.7)
Area
  Rural 5 846 3 048 (52.1) 2 798 (47.9) 62.470 < 0.001 5 088 (87.0) 758 (13.0) 5.623 0.018
  Urban 3 566 2 157 (60.5) 1 409 (39.5) 3 042 (85.3) 524 (14.7)
Education
  Primary school and below 6 181 3 156 (51.1) 3 025 (48.9) 166.770 < 0.001 5 193 (84.0) 988 (16.0) 85.914 < 0.001
  Junior middle school 1 999 1 189 (59.5) 810 (40.5) 1 811 (90.6) 188 (9.4)
  Senior high school 995 683 (68.6) 312 (31.4) 909 (91.4) 86 (8.6)
  Junior college and above 237 177 (74.7) 60 (25.3) 217 (91.6) 20 (8.4)
Marital status
  Married 8 312 4 726 (56.9) 3 586 (43.1) 69.640 < 0.001 7 289 (87.7) 1 023 (12.3) 104.274 < 0.001
  Divorced/unmarried/widowed 1 100 479 (43.5) 621 (56.5) 841 (76.5) 259 (23.5)
Smoking status
  Never 5 687 2 972 (52.3) 2 715 (47.7) 57.170 < 0.001 4 898 (86.1) 789 (13.9) 18.889 < 0.001
  Quit 719 453 (63.0) 266 (37.0) 659 (91.7) 60 (8.3)
  Smoke 3 006 1 780 (59.2) 1 226 (40.8) 2 573 (85.6) 433 (14.4)
Disability
  No 9 111 5 081 (55.8) 4 030 (44.2) 25.029 < 0.001 7 868 (86.4) 1 243 (13.6) 0.117 0.733
  Yes 301 124 (41.2) 177 (58.8) 262 (87.0) 39 (13.0)
BMI/(kg/m2)
  Normal 5 065 2 792 (55.1) 2 273 (44.9) 27.339 < 0.001 4 659 (92.0) 406 (8.0) 618.576 < 0.001
  Lighter 586 267 (45.6) 319 (54.4) 534 (91.1) 52 (8.9)
  Overweight 2 711 1 551 (57.2) 1 160 (42.8) 2 267 (83.6) 444 (16.4)
  Obesity 1 050 595 (56.7) 455 (43.3) 670 (63.8) 380 (36.2)
Sleep
  ≥6 h 6 865 4 266 (62.1) 2 599 (37.9) 480.087 < 0.001 5 969 (86.9) 896 (13.1) 6.986 0.008
   < 6 h 2 547 939 (36.9) 1 608 (63.1) 2 161 (84.8) 386 (15.2)
Hypertension
  No 5 958 3 281 (55.1) 2 677 (44.9) 0.356 0.551 5 856 (98.3) 102 (1.7) 1 956.999 < 0.001
  Yes 3 454 1 924 (55.7) 1 530 (44.3) 2 274 (65.8) 1 180 (34.2)
Diabetes
  No 7 254 3 996 (55.1) 3 258 (44.9) 0.591 0.442 6 667 (91.9) 587 (8.1) 821.975 < 0.001
  Yes 2 158 1 209 (56.0) 949 (44.0) 1 463 (67.8) 695 (32.2)
Dyslipidemia
  No 6 793 3 784 (55.7) 3 009 (44.3) 1.601 0.206 6 046 (89.0) 747 (11.0) 142.896 < 0.001
  Yes 2 619 1 421 (54.3) 1 198 (45.7) 2 084 (79.6) 535 (20.4)

表2

中国中老年人群随访期间的CVD发病密度"

Characteristics n Person-years of observations Cases of CVD, n Incidence density/per 1 000 person-years (95%CI)
Depressive symptoms
  No 5 205 32 421 693 21.375 (19.25-23.735)
  Yes 4 207 25 837 708 27.403 (24.678-30.428)
ICVD risk level
  Low risk 8 130 50 681 1 099 21.685 (19.092-24.630)
  Moderately-high-risk 1 282 7 577 302 39.857 (35.092- 45.270)

图1

基线抑郁症状、ICVD风险与随访CVD发生情况"

表3

抑郁症状、ICVD风险与CVD发生的Cox生存分析"

Characteristics n CVD, n Crude HR (95%CI) Adjust HRa (95%CI) Adjust HRb (95%CI)
Individual impact
  Depressive symptoms
    No 5 205 693 1.000
    Yes 4 207 708 1.301(1.172-1.445)* 1.314(1.182-1.461)* 1.263(1.133-1.408)*
  ICVD risk level
    Low risk 8 130 1 099 1.000
    Moderately-high-risk 1 282 302 1.928(1.697-2.190)* 1.899(1.669-2.161)* 1.892(1.662-2.154)*
Independent influence
  Depressive symptoms
    No 5 205 693 1.000
    Yes 4 207 708 1.295(1.167-1.438)* 1.318(1.186-1.466)* 1.269(1.138-1.415)*
  ICVD risk level
    Low risk 8 130 1 099 1.000
    Moderately-high-risk 1 282 302 1.922(1.692-2.183)* 1.904(1.673-2.167)* 1.898(1.668-2.160)*
Interactive item
  Depressive symptoms×ICVD risk level 0.793(0.615-1.025)# 0.783(0.607-1.011)# 0.778(0.602-1.004)#
Joint influence
  Depression symptoms and ICVD risk
    No depressive symptoms and low risk of ICVD 4 499 533 1.000
    Symptoms of depression and low risk of ICVD 3 631 566 1.361(1.210-1.532)* 1.339(1.185-1.512)* 1.390(1.233-1.566)
    No depressive symptoms and medium to high risk of ICVD 706 160 2.09(1.806-2.571)* 2.149(1.799-2.567)* 2.149(1.799-2.567)*
    Depression symptoms combined with high risk of ICVD 576 142 2.329(1.935-2.802)* 2.239(1.850-2.710)* 2.339(1.936-2.825)*
1 Al-Mallah MH , Sakr S , Al-Qunaibet A .Cardiorespiratory fitness and cardiovascular disease prevention: An update[J].Curr Atheroscler Rep,2018,20(1):1.
doi: 10.1007/s11883-018-0711-4
2 马丽媛, 王增武, 樊静, 等.《中国心血管健康与疾病报告2021》要点解读[J].中国全科医学,2022,25(27):3331-3346.
3 Harshfield EL , Pennells L , Schwartz JE , et al.Association between depressive symptoms and incident cardiovascular diseases[J].JAMA,2020,324(23):2396-2405.
doi: 10.1001/jama.2020.23068
4 北京高血压防治协会, 北京糖尿病防治协会, 北京慢性病防治与健康教育研究会, 等.基层心血管病综合管理实践指南2020[J].中国医学前沿杂志(电子版),2020,12(8):1-73.
5 Chia CW , Egan JM , Ferrucci L .Age-related changes in glucose metabolism, hyperglycemia, and cardiovascular risk[J].Circ Res,2018,123(7):886-904.
doi: 10.1161/CIRCRESAHA.118.312806
6 Kondo T , Nakano Y , Adachi S , et al.Effects of tobacco smoking on cardiovascular disease[J].Circ J,2019,83(10):1980-1985.
doi: 10.1253/circj.CJ-19-0323
7 张曾航, 郭晓雷, 殷召雪, 等.血压在体质指数与心血管疾病发生风险间的中介效应[J].中国公共卫生,2023,39(3):330-334.
8 Glovaci D , Fan W , Wong ND .Epidemiology of diabetes mellitus and cardiovascular disease[J].Curr Cardiol Rep,2019,21(4):21.
doi: 10.1007/s11886-019-1107-y
9 Kaze AD , Santhanam P , Musani SK , et al.Metabolic dyslipidemia and cardiovascular outcomes in type 2 diabetes mellitus: Findings from the look ahead study[J].J Am Heart Assoc,2021,10(7):e016947.
doi: 10.1161/JAHA.120.016947
10 李贤, 赵连成, 李莹, 等.缺血性心脑血管病10年发病预测模型的验证[J].中华心血管病杂志,2007,35(8):761-764.
doi: 10.3760/j.issn:0253-3758.2007.08.018
11 国家"十五"攻关"冠心病、脑卒中综合危险度评估及干预方案的研究"课题组.国人缺血性心血管病发病危险的评估方法及简易评估工具的开发研究[J].中华心血管病杂志,2003,31(12):16-24.
12 Andresen EM , Malmgren JA , Carter WB , et al.Screening for depression in well older adults: Evaluation of a short form of the CES-D (center for epidemiologic studies depression scale)[J].Am J Prev Med,1994,10(2):77-84.
doi: 10.1016/S0749-3797(18)30622-6
13 Bragg F , Li L , Bennett D , et al.Association of random plasma glucose levels with the risk for cardiovascular disease among Chinese adults without known diabetes[J].JAMA Cardiol,2016,1(7):813-823.
14 Iso H , Cui R , Takamoto I , et al.Risk classification for metabolic syndrome and the incidence of cardiovascular disease in japan with low prevalence of obesity: A pooled analysis of 10 prospective cohort studies[J].J Am Heart Assoc,2021,10(23):e020760.
15 Talaei M , Sarrafzadegan N , Sadeghi M , et al.Incidence of cardio-vascular diseases in an iranian population: The isfahan cohort study[J].Arch Iran Med,2013,16(3):138-144.
16 Sun Y , Zhang H , Wang B , et al.Joint exposure to positive affect, life satisfaction, broad depression, and neuroticism and risk of cardiovascular diseases: A prospective cohort study[J].Atherosclerosis,2022,359,44-51.
17 Li H , Zheng D , Li Z , 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.
18 Hamieh N , Meneton P , Wiernik E , et al.Depression, treatable cardiovascular risk factors and incident cardiac events in the gazel cohort[J].Int J Cardiol,2019,284,90-95.
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