Jin Y C, Cheng Y Y, Zhou Y G, Zhang Y, Wang H, Xu X L
School of Public Health, Zhejiang University, Hangzhou 310058, China.
Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2024 Jul 10;45(7):923-931. doi: 10.3760/cma.j.cn112338-20231123-00314.
To estimate the longitudinal association between serum lipid biomarkers and the development of cardiometabolic multimorbidity (CMM) in middle-aged and old adults (≥45) in China, while examining effect differences among degree of dyslipidemia aggregation and various dyslipidemia combination patterns. Based on data from the China Health and Retirement Longitudinal Study (2011-2018), logistic regression analysis was used to evaluate the associations of TC, LDL-C, HDL-C, TG (4 forms of dyslipidemias), degree and pattern of dyslipidemia combination with CMM. We also used restricted cubic splines to show the dose-response associations between 4 lipid biomarkers and CMM development. Of the 6 522 participants included, 590 (9.05%) developed CMM. After adjusting for covariates, all 4 forms of dyslipidemias were positively associated with CMM development (high TC: =1.33, 95%: 1.03-1.71; high LDL-C: =1.35, 95%: 1.05-1.75; low HDL-C: =1.45, 95%: 1.19-1.77; high TG: =1.50, 95%: 1.20-1.88). The U-shaped dose-response relationship between LDL-C and CMM development was observed ( for non-linear =0.022). The odds of CMM increased with the increase of dyslipidemias forms, which was highest in those with ≥3 forms of dyslipidemias (=2.02, 95%: 1.33-3.06). In various dyslipidemia form combinations, the possibility of CMM development was highest in those with high TC, high LDL-C and low HDL-C (=3.54, 95%: 1.40-8.67). High TC and high LDL-C were significantly associated with CMM development in people without cardiometabolic diseases. Low HDL-C was positively associated with diabetes and CMM development in participants without cardiometabolic diseases, cardiovascular disease (CVD) followed by diabetes, and diabetes followed by CVD. High TG was positively associated with diabetes and CMM in participants without cardiometabolic diseases, and diabetes followed by CVD. A total of 4 forms of dyslipidemia were all independently associated with CMM development in middle-aged and old adults in China. The dose-response relationship between LDL-C level and CMM development was U-shaped. The aggregation of 4 forms of dyslipidemia were associated with the development of CMM. Low HDL-C and high TG were significantly associated with multiple patterns of cardiometabolic diseases development.
为了评估中国中老年(≥45岁)人群血清脂质生物标志物与心脏代谢多重疾病(CMM)发生之间的纵向关联,同时检验血脂异常聚集程度和各种血脂异常组合模式之间的效应差异。基于中国健康与养老追踪调查(2011 - 2018年)的数据,采用逻辑回归分析来评估总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)、甘油三酯(TG,4种血脂异常形式)、血脂异常组合的程度和模式与CMM之间的关联。我们还使用受限立方样条来展示4种脂质生物标志物与CMM发生之间的剂量反应关联。在纳入的6522名参与者中,590人(9.05%)发生了CMM。在调整协变量后,所有4种血脂异常形式均与CMM发生呈正相关(高TC:比值比 =1.33,95%置信区间:1.03 - 1.71;高LDL-C:比值比 =1.35,95%置信区间:1.05 - 1.75;低HDL-C:比值比 =1.45,95%置信区间:1.19 - 1.77;高TG:比值比 =1.50,95%置信区间:1.20 - 1.88)。观察到LDL-C与CMM发生之间呈U型剂量反应关系(非线性检验P值 =0.022)。CMM的发生几率随着血脂异常形式数量的增加而升高,在有≥3种血脂异常形式的人群中最高(比值比 =2.02,95%置信区间:1.33 - 3.06)。在各种血脂异常形式组合中,CMM发生的可能性在高TC、高LDL-C和低HDL-C的人群中最高(比值比 =3.54,95%置信区间:1.40 - 8.67)。高TC和高LDL-C与无心脏代谢疾病人群的CMM发生显著相关。低HDL-C与无心脏代谢疾病参与者的糖尿病和CMM发生呈正相关,其次是心血管疾病(CVD)伴糖尿病,然后是糖尿病伴CVD。高TG与无心脏代谢疾病参与者的糖尿病和CMM呈正相关,然后是糖尿病伴CVD。在中国中老年人群中,总共4种血脂异常形式均与CMM发生独立相关。LDL-C水平与CMM发生之间的剂量反应关系呈U型。4种血脂异常形式的聚集与CMM的发生相关。低HDL-C和高TG与多种心脏代谢疾病发生模式显著相关。