The association of changes in the Chinese visceral adiposity index and cardiometabolic diseases: a cohort study

IF 3.4 3区医学 Q2 ENDOCRINOLOGY & METABOLISM

Diabetology & Metabolic Syndrome Pub Date : 2024-09-14 DOI:10.1186/s13098-024-01460-3

Song Wen, Xingjie Huang, Zehan Huang, Xinjie Zhang, Chang Dai, Feihuang Han, Weidong Zheng, Feng Wang, Shubo Chen, Bin Zhang, Yuqing Huang

{"title":"The association of changes in the Chinese visceral adiposity index and cardiometabolic diseases: a cohort study","authors":"Song Wen, Xingjie Huang, Zehan Huang, Xinjie Zhang, Chang Dai, Feihuang Han, Weidong Zheng, Feng Wang, Shubo Chen, Bin Zhang, Yuqing Huang","doi":"10.1186/s13098-024-01460-3","DOIUrl":null,"url":null,"abstract":"The relationship between changes in Chinese visceral adiposity index (CVAI) and cardiometabolic diseases (CMD) in middle-aged and elderly individuals remains unclear. This study aimed to explore whether changes in the CVAI were associated with CMD incidence. This study included 3,243 individuals aged over 45 years from the China Health and Retirement Longitudinal Study. The exposures were changes in the CVAI and cumulative CVAI from 2012 to 2015. Changes in the CVAI were classified using K-means clustering analysis, and the cumulative CVAI was calculated as follows: (CVAI2012 + CVAI2015)/2 × time (2015–2012). Multivariable logistic regression models were used to assess the relationship between different CVAI change classes and CMD incidence. Restricted cubic splines regression was used to assess the dose–response relationship between cumulative CVAI and CMD incidence. To investigate the relationship between combined exposure to each component of CAVI and CMD incidence, a weighted quantile sum regression analysis was employed. During the 5 years of follow-up, 776 (24%) incident CMD cases were identified. Changes in CVAI and cumulative CVAI were independently and positively associated with CMD. After adjusting for potential confounders, compared with Class 1, the adjusted ORs (95% CIs) for incident CMD were 1.18 (0.90–1.57) for Class 2, 1.40 (1.03–1.92) for Class 3, and 1.56 (1.04–2.34) for Class 4. When cumulative CVAI was categorized into quartiles, compared with Q1, the adjusted ORs (95% CIs) for incident CMD were 1.30 (1.00–1.70) for Q2, 1.34 (1.01–1.79) for Q3, and 1.63 (1.15–2.31) for Q4. In addition, cumulative CVAI in the overall population exhibited a linear association with CMD (Poverall = 0.012, Pnon-linearity = 0.287), diabetes (Poverall = 0.022, Pnon-linearity = 0.188), and stroke (Poverall = 0.002, Pnon-linearity = 0.978), but showed no significant association with heart disease (Poverall = 0.619, Pnon-linearity = 0.442). Participants with higher baseline CVAI level and a change of elevating CVAI level may suffer an increased incidence of CMD. Furthermore, our findings elucidate the underlying mechanisms of the CVAI by highlighting TG as the primary contributor to the observed associations. Long-term CVAI monitoring is of significant importance for early identification and prevention of CMD, with significant implications for clinical practice.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"44 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetology & Metabolic Syndrome","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13098-024-01460-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}

引用次数: 0

Abstract

The relationship between changes in Chinese visceral adiposity index (CVAI) and cardiometabolic diseases (CMD) in middle-aged and elderly individuals remains unclear. This study aimed to explore whether changes in the CVAI were associated with CMD incidence. This study included 3,243 individuals aged over 45 years from the China Health and Retirement Longitudinal Study. The exposures were changes in the CVAI and cumulative CVAI from 2012 to 2015. Changes in the CVAI were classified using K-means clustering analysis, and the cumulative CVAI was calculated as follows: (CVAI2012 + CVAI2015)/2 × time (2015–2012). Multivariable logistic regression models were used to assess the relationship between different CVAI change classes and CMD incidence. Restricted cubic splines regression was used to assess the dose–response relationship between cumulative CVAI and CMD incidence. To investigate the relationship between combined exposure to each component of CAVI and CMD incidence, a weighted quantile sum regression analysis was employed. During the 5 years of follow-up, 776 (24%) incident CMD cases were identified. Changes in CVAI and cumulative CVAI were independently and positively associated with CMD. After adjusting for potential confounders, compared with Class 1, the adjusted ORs (95% CIs) for incident CMD were 1.18 (0.90–1.57) for Class 2, 1.40 (1.03–1.92) for Class 3, and 1.56 (1.04–2.34) for Class 4. When cumulative CVAI was categorized into quartiles, compared with Q1, the adjusted ORs (95% CIs) for incident CMD were 1.30 (1.00–1.70) for Q2, 1.34 (1.01–1.79) for Q3, and 1.63 (1.15–2.31) for Q4. In addition, cumulative CVAI in the overall population exhibited a linear association with CMD (Poverall = 0.012, Pnon-linearity = 0.287), diabetes (Poverall = 0.022, Pnon-linearity = 0.188), and stroke (Poverall = 0.002, Pnon-linearity = 0.978), but showed no significant association with heart disease (Poverall = 0.619, Pnon-linearity = 0.442). Participants with higher baseline CVAI level and a change of elevating CVAI level may suffer an increased incidence of CMD. Furthermore, our findings elucidate the underlying mechanisms of the CVAI by highlighting TG as the primary contributor to the observed associations. Long-term CVAI monitoring is of significant importance for early identification and prevention of CMD, with significant implications for clinical practice.

查看原文本刊更多论文

中国人内脏脂肪指数变化与心血管代谢疾病的关系：一项队列研究

中国人内脏脂肪指数（CVAI）的变化与中老年人心血管代谢疾病（CMD）之间的关系尚不清楚。本研究旨在探讨内脏脂肪指数的变化是否与 CMD 发病率相关。该研究纳入了中国健康与退休纵向研究中 3,243 名 45 岁以上的中老年人。研究对象为2012年至2015年间CVAI和累积CVAI的变化。CVAI的变化采用K均值聚类分析法进行分类，累积CVAI的计算方法如下：(CVAI2012 + CVAI2015)/2 × 时间（2015-2012）。多变量逻辑回归模型用于评估不同 CVAI 变化等级与 CMD 发病率之间的关系。限制性三次样条回归用于评估累积 CVAI 与 CMD 发病率之间的剂量-反应关系。为了研究CAVI各组成部分的综合暴露与CMD发病率之间的关系，采用了加权量子和回归分析。在 5 年的随访期间，共发现了 776 例（24%）CMD 病例。CVAI和累积CVAI的变化与CMD呈独立正相关。在调整了潜在的混杂因素后，与 1 级相比，2 级发生 CMD 的调整 ORs（95% CIs）为 1.18（0.90-1.57），3 级为 1.40（1.03-1.92），4 级为 1.56（1.04-2.34）。如果将累积 CVAI 划分为四分位，与 Q1 相比，Q2、Q3 和 Q4 发生 CMD 的调整 ORs（95% CIs）分别为 1.30（1.00-1.70）、1.34（1.01-1.79）和 1.63（1.15-2.31）。此外，总体人群的累积 CVAI 与慢性阻塞性肺病（Poverall = 0.012，Pnon-linearity = 0.287）、糖尿病（Poverall = 0.022，Pnon-linearity = 0.188）和中风（Poverall = 0.002，Pnon-linearity = 0.978）呈线性相关，但与心脏病（Poverall = 0.619，Pnon-linearity = 0.442）无显著关联。基线 CVAI 水平较高的参与者和 CVAI 水平升高的变化可能会增加 CMD 的发病率。此外，我们的研究结果还阐明了 CVAI 的潜在机制，强调 TG 是导致所观察到的关联的主要因素。长期监测 CVAI 对早期识别和预防慢性阻塞性肺病具有重要意义，对临床实践也有重大影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-

CiteScore

6.20

自引率

0.00%

发文量

170

审稿时长

7.5 months

期刊介绍： Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.