Xie Feng, Xiao Yuan, Li Xiaozhong, Wu Yanqing
Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Department of Ultrasonic, Jiangxi Pingxiang People's Hospital, Pingxiang, Jiangxi, China.
Front Cardiovasc Med. 2022 Sep 14;9:948194. doi: 10.3389/fcvm.2022.948194. eCollection 2022.
Abdominal aortic calcification (AAC) is recognized as a strong predictor of cardiovascular disease (CVD) events. This study aimed to evaluate the association between weight-adjusted-waist index (WWI) and AAC in United States adults aged ≥ 40 years.
Data were derived from the 2013-2014 National Health and Nutrition Examination Survey (NHANES). WWI was calculated as waist circumference divided by the square root of weight. AAC scores were quantified by the Kauppila scoring system, and severe AAC was defined as an AAC score ≥ 6. Weighted multivariable regression analysis and subgroup analysis were performed to evaluate the relationship between WWI with AAC scores and severe AAC. The restricted cubic spline model was used for the dose-response analysis.
A total of 2,772 participants were included with the mean WWI of 11.17 ± 0.73 cm/√kg and mean AAC score of 1.48 ± 3.27. The prevalence of severe AAC was 9.64%. WWI was positively associated with higher AAC scores [β = 0.95, 95% confidence interval (CI): 0.65-1.25, < 0.001] and increased risk of severe AAC [odds ratio (OR) = 1.82; 95% CI: 1.20-2.75; = 0.005]. A nearly linear relationship between the WWI and the odds of severe AAC was found after adjustment for multiple potential covariates ( for non-linear = 0.625). Subgroup analysis indicated that the association between WWI and AAC was similar in different population settings.
Higher WWI was associated with higher AAC score and increased risk of severe AAC in United States adults. Further studies are needed to confirm this relationship.
腹主动脉钙化(AAC)被认为是心血管疾病(CVD)事件的有力预测指标。本研究旨在评估体重调整腰围指数(WWI)与美国40岁及以上成年人AAC之间的关联。
数据来源于2013 - 2014年国家健康与营养检查调查(NHANES)。WWI计算为腰围除以体重的平方根。AAC分数通过考皮拉评分系统进行量化,严重AAC定义为AAC分数≥6。进行加权多变量回归分析和亚组分析以评估WWI与AAC分数及严重AAC之间的关系。采用受限立方样条模型进行剂量反应分析。
共纳入2772名参与者,平均WWI为11.17±0.73 cm/√kg,平均AAC分数为1.48±3.27。严重AAC的患病率为9.64%。WWI与较高的AAC分数呈正相关[β = 0.95,95%置信区间(CI):0.65 - 1.25,P < 0.001],且严重AAC风险增加[比值比(OR) = 1.82;95% CI:1.20 - 2.75;P = 0.005]。在调整多个潜在协变量后,发现WWI与严重AAC的比值之间存在近似线性关系(非线性检验P = 0.625)。亚组分析表明,在不同人群背景下,WWI与AAC之间的关联相似。
在美国成年人中,较高的WWI与较高的AAC分数及严重AAC风险增加相关。需要进一步研究来证实这种关系。