Chinese General Practice ›› 2023, Vol. 26 ›› Issue (14): 1703-1708.DOI: 10.12114/j.issn.1007-9572.2022.0658
• Original Research • Previous Articles Next Articles
Received:
2022-09-11
Revised:
2022-12-25
Published:
2023-05-15
Online:
2023-02-02
Contact:
WANG Zhizhong
通讯作者:
王志忠
作者简介:
基金资助:
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2022.0658
组别 | 例数 | 性别 | 民族 | 文化程度 | 独居 | 再婚 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
女 | 男 | 汉族 | 少数民族 | 小学及以下 | 初中及以上 | 是 | 否 | 是 | 否 | |||
55~64岁组 | 459 | 313(68.2) | 146(31.8) | 283(61.7) | 176(38.3) | 239(52.1) | 220(47.9) | 62(13.5) | 397(86.5) | 23(5.0) | 436(95.0) | |
≥65岁组 | 587 | 330(56.2) | 257(43.8) | 416(70.9) | 171(29.1) | 317(54.0) | 270(46.0) | 144(24.5) | 443(75.5) | 45(7.7) | 542(92.3) | |
χ2值 | 15.593 | 9.862 | 0.387 | 19.793 | 2.988 | |||||||
P值 | <0.001 | 0.002 | 0.534 | <0.001 | 0.084 | |||||||
组别 | 吸烟 | 饮酒 | 中心性肥胖 | 高胆固醇血症 | 高三酰甘油血症 | 高低密度脂蛋白血症 | ||||||
是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | |
55~64岁组 | 85(18.5) | 374(81.5) | 54(11.8) | 405(88.2) | 268(58.4) | 191(41.6) | 49(10.7) | 410(89.3) | 125(27.2) | 334(72.8) | 46(10.0) | 413(90.0) |
≥65岁组 | 162(27.6) | 425(72.4) | 85(14.5) | 502(85.5) | 337(57.4) | 250(42.6) | 47(8.0) | 540(92.0) | 104(17.7) | 483(82.3) | 63(10.7) | 524(89.3) |
χ2值 | 11.772 | 1.649 | 0.101 | 2.201 | 13.640 | 0.139 | ||||||
P值 | 0.001 | 0.199 | 0.751 | 0.138 | <0.001 | 0.709 | ||||||
组别 | 低高密度脂蛋白血症 | 高血压 | 糖尿病 | 高尿酸血症 | NAFLD | 随访结局 | ||||||
是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | 存活 | 死亡 | |
55~64岁组 | 158(34.4) | 301(65.6) | 233(50.8) | 226(49.2) | 102(22.2) | 357(77.8) | 26(5.7) | 433(94.3) | 150(32.7) | 309(67.3) | 446(97.2) | 13(2.8) |
≥65岁组 | 136(23.2) | 451(76.8) | 276(47.0) | 311(53.0) | 181(30.8) | 406(69.2) | 72(12.3) | 515(87.7) | 136(23.2) | 451(76.8) | 494(84.2) | 93(15.8) |
χ2值 | 16.145 | 1.445 | 9.681 | 13.219 | 11.729 | 47.882 | ||||||
P值 | <0.001 | 0.229 | 0.002 | <0.001 | 0.001 | <0.001 |
Table 1 The socio-demographical characteristics,cardiometabolic risk factor cluster,and all-cause mortality in participants by age group
组别 | 例数 | 性别 | 民族 | 文化程度 | 独居 | 再婚 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
女 | 男 | 汉族 | 少数民族 | 小学及以下 | 初中及以上 | 是 | 否 | 是 | 否 | |||
55~64岁组 | 459 | 313(68.2) | 146(31.8) | 283(61.7) | 176(38.3) | 239(52.1) | 220(47.9) | 62(13.5) | 397(86.5) | 23(5.0) | 436(95.0) | |
≥65岁组 | 587 | 330(56.2) | 257(43.8) | 416(70.9) | 171(29.1) | 317(54.0) | 270(46.0) | 144(24.5) | 443(75.5) | 45(7.7) | 542(92.3) | |
χ2值 | 15.593 | 9.862 | 0.387 | 19.793 | 2.988 | |||||||
P值 | <0.001 | 0.002 | 0.534 | <0.001 | 0.084 | |||||||
组别 | 吸烟 | 饮酒 | 中心性肥胖 | 高胆固醇血症 | 高三酰甘油血症 | 高低密度脂蛋白血症 | ||||||
是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | |
55~64岁组 | 85(18.5) | 374(81.5) | 54(11.8) | 405(88.2) | 268(58.4) | 191(41.6) | 49(10.7) | 410(89.3) | 125(27.2) | 334(72.8) | 46(10.0) | 413(90.0) |
≥65岁组 | 162(27.6) | 425(72.4) | 85(14.5) | 502(85.5) | 337(57.4) | 250(42.6) | 47(8.0) | 540(92.0) | 104(17.7) | 483(82.3) | 63(10.7) | 524(89.3) |
χ2值 | 11.772 | 1.649 | 0.101 | 2.201 | 13.640 | 0.139 | ||||||
P值 | 0.001 | 0.199 | 0.751 | 0.138 | <0.001 | 0.709 | ||||||
组别 | 低高密度脂蛋白血症 | 高血压 | 糖尿病 | 高尿酸血症 | NAFLD | 随访结局 | ||||||
是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | 是 | 否 | 存活 | 死亡 | |
55~64岁组 | 158(34.4) | 301(65.6) | 233(50.8) | 226(49.2) | 102(22.2) | 357(77.8) | 26(5.7) | 433(94.3) | 150(32.7) | 309(67.3) | 446(97.2) | 13(2.8) |
≥65岁组 | 136(23.2) | 451(76.8) | 276(47.0) | 311(53.0) | 181(30.8) | 406(69.2) | 72(12.3) | 515(87.7) | 136(23.2) | 451(76.8) | 494(84.2) | 93(15.8) |
χ2值 | 16.145 | 1.445 | 9.681 | 13.219 | 11.729 | 47.882 | ||||||
P值 | <0.001 | 0.229 | 0.002 | <0.001 | 0.001 | <0.001 |
变量 | 赋值 | 变量 | 赋值 |
---|---|---|---|
死亡 | 1=是,0=否 | 中心性肥胖 | 1=是,0=否 |
年龄 | 1=55~64岁,2=≥65岁 | 高胆固醇血症 | 1=是,0=否 |
性别 | 1=男性,0=女性 | 高三酰甘油血症 | 1=是,0=否 |
民族 | 1=汉族,0=少数民族 | 高低密度脂蛋白血症 | 1=是,0=否 |
吸烟 | 1=是,0=否 | 低高密度脂蛋白血症 | 1=是,0=否 |
饮酒 | 1=是,0=否 | 高血压 | 1=是,0=否 |
文化程度 | 1=小学及以下,0=初中及以上 | 糖尿病 | 1=是,0=否 |
独居 | 1=是,0=否 | 高尿酸血症 | 1=是,0=否 |
再婚 | 1=是,0=否 | NAFLD | 1=是,0=否 |
心血管代谢危险因素危险总评分 | 实测值 | 心血管代谢危险因素危险总评分分组 | 0=<P50组 1=P50~P75组 2=>P75组 |
Table 2 Variable assignment table for associated factors of all-cause mortality risk incorporated in the Cox regression model
变量 | 赋值 | 变量 | 赋值 |
---|---|---|---|
死亡 | 1=是,0=否 | 中心性肥胖 | 1=是,0=否 |
年龄 | 1=55~64岁,2=≥65岁 | 高胆固醇血症 | 1=是,0=否 |
性别 | 1=男性,0=女性 | 高三酰甘油血症 | 1=是,0=否 |
民族 | 1=汉族,0=少数民族 | 高低密度脂蛋白血症 | 1=是,0=否 |
吸烟 | 1=是,0=否 | 低高密度脂蛋白血症 | 1=是,0=否 |
饮酒 | 1=是,0=否 | 高血压 | 1=是,0=否 |
文化程度 | 1=小学及以下,0=初中及以上 | 糖尿病 | 1=是,0=否 |
独居 | 1=是,0=否 | 高尿酸血症 | 1=是,0=否 |
再婚 | 1=是,0=否 | NAFLD | 1=是,0=否 |
心血管代谢危险因素危险总评分 | 实测值 | 心血管代谢危险因素危险总评分分组 | 0=<P50组 1=P50~P75组 2=>P75组 |
变量 | β | SE | Wald χ2值 | P值 | HR(95%CI) |
---|---|---|---|---|---|
年龄 | 1.629 | 0.300 | 29.567 | <0.001 | 5.10(2.84,9.17) |
性别 | 0.677 | 0.247 | 7.538 | 0.006 | 1.97(1.21,3.19) |
民族 | 0.245 | 0.232 | 1.118 | 0.290 | 1.28(0.81,2.01) |
吸烟 | 0.176 | 0.260 | 0.457 | 0.499 | 1.19(0.72,1.98) |
饮酒 | -0.246 | 0.310 | 0.632 | 0.427 | 0.78(0.43,1.44) |
独居 | 0.476 | 0.220 | 4.695 | 0.030 | 1.61(1.05,2.48) |
文化程度 | 0.544 | 0.214 | 6.489 | 0.011 | 1.72(1.13,2.62) |
再婚 | -0.063 | 0.373 | 0.028 | 0.866 | 0.94(0.45,1.95) |
Table 3 Multivariate Cox proportional risk regression analysis of associated factors of of all-cause mortality risk
变量 | β | SE | Wald χ2值 | P值 | HR(95%CI) |
---|---|---|---|---|---|
年龄 | 1.629 | 0.300 | 29.567 | <0.001 | 5.10(2.84,9.17) |
性别 | 0.677 | 0.247 | 7.538 | 0.006 | 1.97(1.21,3.19) |
民族 | 0.245 | 0.232 | 1.118 | 0.290 | 1.28(0.81,2.01) |
吸烟 | 0.176 | 0.260 | 0.457 | 0.499 | 1.19(0.72,1.98) |
饮酒 | -0.246 | 0.310 | 0.632 | 0.427 | 0.78(0.43,1.44) |
独居 | 0.476 | 0.220 | 4.695 | 0.030 | 1.61(1.05,2.48) |
文化程度 | 0.544 | 0.214 | 6.489 | 0.011 | 1.72(1.13,2.62) |
再婚 | -0.063 | 0.373 | 0.028 | 0.866 | 0.94(0.45,1.95) |
变量 | β | SE | Wald χ2值 | P值 | HR(95%CI) |
---|---|---|---|---|---|
中心性肥胖 | 0.257 | 0.210 | 1.499 | 0.221 | 1.29(0.86,1.95) |
高胆固醇血症 | 0.146 | 0.353 | 0.172 | 0.678 | 1.16(0.58,2.31) |
高三酰甘油血症 | -0.193 | 0.269 | 0.512 | 0.474 | 0.83(0.49,1.40) |
高低密度脂蛋白血症 | 0.132 | 0.323 | 0.167 | 0.683 | 1.14(0.61,2.15) |
低高密度脂蛋白血症 | -0.062 | 0.201 | 0.094 | 0.760 | 0.94(0.63,1.39) |
高血压 | 0.129 | 0.196 | 0.434 | 0.510 | 1.14(0.78,1.67) |
糖尿病 | 0.071 | 0.216 | 0.107 | 0.744 | 1.07(0.70,1.64) |
高尿酸血症 | 0.486 | 0.266 | 3.331 | 0.068 | 1.63(0.97,2.74) |
NAFLD | -0.440 | 0.260 | 2.865 | 0.090 | 0.64(0.38,1.07) |
心血管代谢危险因素危险总评分 | 1.113 | 0.344 | 16.292 | 0.001 | 3.04(1.55,5.97) |
心血管代谢危险因素危险总评分分组a | |||||
P50~P75组 | 0.398 | 0.273 | 2.124 | 0.145 | 1.49(0.87,2.54) |
>P75组 | 0.702 | 0.281 | 6.235 | 0.013 | 2.02(1.16,3.50) |
Table 4 Multivariate Cox proportional risk regression analysis the association of cardiometabolic risk factors and cardiometabolic risk factor cluster with all-cause mortality risk
变量 | β | SE | Wald χ2值 | P值 | HR(95%CI) |
---|---|---|---|---|---|
中心性肥胖 | 0.257 | 0.210 | 1.499 | 0.221 | 1.29(0.86,1.95) |
高胆固醇血症 | 0.146 | 0.353 | 0.172 | 0.678 | 1.16(0.58,2.31) |
高三酰甘油血症 | -0.193 | 0.269 | 0.512 | 0.474 | 0.83(0.49,1.40) |
高低密度脂蛋白血症 | 0.132 | 0.323 | 0.167 | 0.683 | 1.14(0.61,2.15) |
低高密度脂蛋白血症 | -0.062 | 0.201 | 0.094 | 0.760 | 0.94(0.63,1.39) |
高血压 | 0.129 | 0.196 | 0.434 | 0.510 | 1.14(0.78,1.67) |
糖尿病 | 0.071 | 0.216 | 0.107 | 0.744 | 1.07(0.70,1.64) |
高尿酸血症 | 0.486 | 0.266 | 3.331 | 0.068 | 1.63(0.97,2.74) |
NAFLD | -0.440 | 0.260 | 2.865 | 0.090 | 0.64(0.38,1.07) |
心血管代谢危险因素危险总评分 | 1.113 | 0.344 | 16.292 | 0.001 | 3.04(1.55,5.97) |
心血管代谢危险因素危险总评分分组a | |||||
P50~P75组 | 0.398 | 0.273 | 2.124 | 0.145 | 1.49(0.87,2.54) |
>P75组 | 0.702 | 0.281 | 6.235 | 0.013 | 2.02(1.16,3.50) |
变量 | β | SE | Wald χ2值 | P值 | HR(95%CI) |
---|---|---|---|---|---|
55~64岁(n=459) | |||||
心血管代谢危险因素危险总评分 | 2.005 | 1.029 | 3.797 | 0.051 | 7.43(0.98,55.84) |
心血管代谢危险因素危险总评分分组a | |||||
P50~P75组 | 0.869 | 0.818 | 1.127 | 0.288 | 2.38(0.48,11.85) |
>P75组 | 1.441 | 0.844 | 2.941 | 0.088 | 1.36(0.81,22.12) |
≥65岁(n=587) | |||||
心血管代谢危险因素危险总评分 | 1.026 | 0.368 | 7.780 | 0.005 | 2.79(1.36,5.74) |
心血管代谢危险因素危险总评分分组a | |||||
P50~P75组 | 0.327 | 0.290 | 1.267 | 0.260 | 1.39(0.79,2.45) |
>P75组 | 0.605 | 0.298 | 4.137 | 0.042 | 1.83(1.02,3.28) |
Table 5 Multivariate Cox proportional risk regression analysis for all-cause mortality risk and the total cardiometabolic risk score stratified by age
变量 | β | SE | Wald χ2值 | P值 | HR(95%CI) |
---|---|---|---|---|---|
55~64岁(n=459) | |||||
心血管代谢危险因素危险总评分 | 2.005 | 1.029 | 3.797 | 0.051 | 7.43(0.98,55.84) |
心血管代谢危险因素危险总评分分组a | |||||
P50~P75组 | 0.869 | 0.818 | 1.127 | 0.288 | 2.38(0.48,11.85) |
>P75组 | 1.441 | 0.844 | 2.941 | 0.088 | 1.36(0.81,22.12) |
≥65岁(n=587) | |||||
心血管代谢危险因素危险总评分 | 1.026 | 0.368 | 7.780 | 0.005 | 2.79(1.36,5.74) |
心血管代谢危险因素危险总评分分组a | |||||
P50~P75组 | 0.327 | 0.290 | 1.267 | 0.260 | 1.39(0.79,2.45) |
>P75组 | 0.605 | 0.298 | 4.137 | 0.042 | 1.83(1.02,3.28) |
[1] |
Emerging Risk Factors Collaboration,
|
[2] |
|
[3] |
王志宏,张兵,王惠君,等. 中国15省份18~59岁成年人心血管代谢危险因素现状及人口经济因素的影响[J]. 中华流行病学杂志,2018,39(7):904-908. DOI:10.3760/cma.j.issn.0254-6450.2018.07.008.
|
[4] |
王柳森,张兵,王惠君,等. 中国15个省份农民心血管代谢性危险因素分析[J]. 中华流行病学杂志,2018,39(9):1239-1243. DOI:10.3760/cma.j.issn.0254-6450.2018.09.018.
|
[5] |
马万瑞,姜敏,马乾凤,等. 社区年龄>55岁人群非酒精性脂肪性肝病合并代谢综合征的现况分析[J]. 中华高血压杂志,2018,26(6):572-576. DOI:10.16439/j.cnki.1673-7245.2018.06.021.
|
[6] |
|
[7] |
中华医学会,中华医学会杂志社,中华医学会全科医学分会,等. 血脂异常基层诊疗指南(2019年)[J]. 中华全科医师杂志,2019(5):406-416.
|
[8] |
中国老年医学学会高血压分会,国家老年疾病临床医学研究中心中国老年心血管病防治联盟. 中国老年高血压管理指南2019[J]. 中国心血管杂志,2019,24(1):1-23. DOI:10.3969/j.issn.1007-5410.2019.01.001.
|
[9] |
中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2020年版)[J]. 中华糖尿病杂志,2021,13(4):315-409. DOI:10.3760/cma.j.cn115791-20210221-00095.
|
[10] |
中华医学会内分泌学分会. 中国高尿酸血症与痛风诊疗指南(2019)[J]. 中华内分泌代谢杂志,2020,36(1): 1-13. DOI:10.3760/cma.j.issn.1000-6699.2020.01.001.
|
[11] |
中华医学会肝病学分会脂肪肝和酒精性肝病学组,中国医师协会脂肪性肝病专家委员会.非酒精性脂肪性肝病防治指南(2018更新版) [J].中华肝脏病杂志,2018,26(3):195-203. DOI:10.3760/cma.j.issn.1007-3418.2018.03.008.
|
[12] |
|
[13] |
|
[14] |
陈伟伟,高润霖,刘力生,等. 《中国心血管病报告2016》概要[J]. 中国循环杂志,2017,32(6): 521-530.
|
[15] |
韩雨廷,孙至佳,吕筠,等. 生活方式与心血管代谢性共病关联研究进展[J]. 中华疾病控制杂志,2021,25(3):266-270. DOI:10.16462/j.cnki.zhjbkz.2021.03.004.
|
[16] |
胡盛寿,高润霖,刘力生,等. 《中国心血管病报告2018》概要[J]. 中国循环杂志,2019,34(3):209-220. DOI:10.3969/j.issn.1000-3614.2019.03.001.
|
[17] | |
[18] |
|
[19] |
|
[20] |
|
[21] |
陈海,钱云,董昀球,等. 1990年与2017年中国居民期望寿命的性别差异分析[J]. 中国卫生统计,2020,37(6): 883-887. DOI:10.3969/j.issn.1002-3674.2020.06.021.
|
[1] | ZHANG Aili, HOU Qiqi, HAN Quanle, ZHANG Boheng, ZHANG Jiawei, CAO Hongxia, ZHANG Chao, CHEN Shuohua, WU Shouling, LI Kangbo. Correlation between Atrial Fibrillation and the Risk of New-onset Chronic Kidney Disease in Northern Chinese Population [J]. Chinese General Practice, 2023, 26(36): 4521-4526. |
[2] | ZHANG Qian, LI Shu, LI Pengmei. Interpretation of the 2023 AGS Beers Criteria: Potentially Inappropriate Medication Use in Older Adults [J]. Chinese General Practice, 2023, 26(35): 4372-4381. |
[3] | ZHONG Pingping, NAN Yayun, PENG Linlin, ZHOU Yuting, CHEN Qiong. A Bibliometrics Analysis of Polypharmacy in the Elderly from 2003 to 2022 [J]. Chinese General Practice, 2023, 26(35): 4404-4411. |
[4] | XIE Xuemei, GAO Jing, BAI Dingxi, LU Xianying, HE Jiali, LI Yue. Current Status of Polypharmacy in the Elderly and Its Influencing Factors: a Meta-analysis [J]. Chinese General Practice, 2023, 26(35): 4394-4403. |
[5] | XU Man, AN Zhuoling, ZHANG Yuhui, MA Zhuo. Current Situation of Potentially Inappropriate Medication in Older Cancer Patients and Strategies to Address It [J]. Chinese General Practice, 2023, 26(35): 4382-4387. |
[6] | WANG Yue, CHEN Qing, LIU Lurong. Detection Rate of Depression and Its Influencing Factors in Chinese Elderly: a Meta-analysis [J]. Chinese General Practice, 2023, 26(34): 4329-4335. |
[7] | GU Hanxin, LIU Yang, LIU Yuanli. Falls Prevention Intervention for Community-dwelling Older Adults from the Perspective of Policy Tools: an International Comparative Study [J]. Chinese General Practice, 2023, 26(34): 4231-4238. |
[8] | FENG Xiaoyu, LI Wanling, LYU Siman, NI Cuiping, WANG Haocheng, LIU Yu. International Research Status and Hot Spot Analysis of InterRAI HC Based on Bibliometrics [J]. Chinese General Practice, 2023, 26(34): 4351-4358. |
[9] | XIN Gongkai, CONG Xin, YUAN Lei, CHENG Yuetong, NI Cuiping, ZHANG Weiwei, ZHANG Pingping, LIU Yu. Research Progress on Comprehensive Assessment Tools for the Elderly with Dementia [J]. Chinese General Practice, 2023, 26(33): 4103-4109. |
[10] | YU Xinyan, ZHAO Jun, ZHAO Xiaoye, JIANG Qingru, CHEN Yatian, WANG Yan, ZHANG Haicheng. Application of Mobile Smart Healthcare in the Prevention and Control of Cardiovascular Diseases in Elderly Patients with Chronic Diseases in Primary Care [J]. Chinese General Practice, 2023, 26(33): 4167-4172. |
[11] | JIAN Qiufeng, XU Ronghua, YAO Qian, ZHOU Yuanyuan. A Meta-analysis of the Prevalence and Influencing Factors of Post-stroke Cognitive Impairment in Chinese Elderly Patients [J]. Chinese General Practice, 2023, 26(32): 4070-4079. |
[12] | ZHANG Shuai, LI Qin, LI Dongfeng, XIAO Jinping, LI Yunpeng. A Prospective Cohort Study of Solid Fuels Use and Risk of Hypertension in Chinese Older Adults [J]. Chinese General Practice, 2023, 26(32): 4001-4006. |
[13] | CHEN Xi, ZHANG Juan, LI Lin, ZHANG Jiaqi, WU Yaoli, GUO Hui, WANG Chaoqun. Association between Physical Activity and Risk of All-cause Mortality in Middle-aged and Elderly People in China: a Prospective Cohort Study [J]. Chinese General Practice, 2023, 26(31): 3890-3895. |
[14] | ZHANG Peng, GAO Ying, YANG Hongxi, WAN Chunxiao. Association between Serum Uric Acid Level and the Risk of Chronic Kidney Disease among the Elderly in Longevity Areas of China [J]. Chinese General Practice, 2023, 26(31): 3884-3889. |
[15] | DUAN Yanqin, PENG Ying, LIU Shenglan, LIU Haijiao, YANG Huiqiong, HU Haiqing. Prevalence and Associated Factors of Potentially Inappropriate Medication among Elderly Outpatients [J]. Chinese General Practice, 2023, 26(31): 3902-3907. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||