Xu Jie, Cui Jiaming, Xiong Jingwen, Jiang Xiatian, Chen Meng, Luo Xiaobing
Department of Sports Medicine, Sichuan Provincial Orthopedics Hospital, Chengdu, China.
Beijing Sport University, Beijing, China.
Sci Rep. 2025 Jul 1;15(1):21244. doi: 10.1038/s41598-025-04359-9.
This study investigated the relationship between periodontitis and the Conicity Index (C-index) in the United States. The National Health and Nutrition Examination Survey (NHANES), conducted from 2009 to 2014, found that 5233 out of 10,327 respondents aged 30 years or older had periodontitis. After adjusting for all confounding variables, the likelihood of periodontitis prevalence increased by 13% for every unit rise in the C-index (OR 1.13, 95% CI 1.05, 1.21). A three-category sensitivity analysis of the C-index revealed that the highest group had a 24% greater prevalence of periodontitis compared to the lowest group (OR 1.24, 95% CI 1.07, 1.43). There was no gender difference in the linear and positive correlation between the C-index and the prevalence of periodontitis. Subgroup analyses demonstrated no significant interactions in most subgroups. Additionally, sensitivity analyses that adjusted for missing covariates and physical activity further validated the robustness of the results, confirming that the C-index is independently associated with periodontitis prevalence. Finally, Receiver Operating Characteristic (ROC) analysis indicated that the C-index outperformed Body Mass Index (BMI) and Waist Circumference (WC) in predicting periodontitis, suggesting its potential for early screening. Overall, the C-index, as an indicator of abdominal obesity, reflects not only generalized obesity but is also independently associated with periodontitis prevalence, providing a new and potentially valuable tool for early screening. Notably, the predictive ability of the C-index for periodontitis was significantly superior to that of traditional BMI and WC, indicating higher sensitivity in the early diagnosis and assessment of periodontitis. The clinical application of the C-index can assist healthcare professionals in identifying high-risk individuals at an early stage, enabling timely interventions that may reduce the incidence of periodontitis and subsequent oral health issues.
本研究调查了美国牙周炎与锥度指数(C指数)之间的关系。2009年至2014年进行的美国国家健康与营养检查调查(NHANES)发现,在10327名30岁及以上的受访者中,有5233人患有牙周炎。在对所有混杂变量进行调整后,C指数每升高一个单位,牙周炎患病率的可能性增加13%(比值比1.13,95%置信区间1.05,1.21)。对C指数进行的三类敏感性分析显示,最高组的牙周炎患病率比最低组高24%(比值比1.24,95%置信区间1.07,1.43)。C指数与牙周炎患病率之间的线性正相关不存在性别差异。亚组分析表明,大多数亚组中不存在显著的相互作用。此外,对缺失协变量和身体活动进行调整的敏感性分析进一步验证了结果的稳健性,证实C指数与牙周炎患病率独立相关。最后,受试者工作特征(ROC)分析表明,在预测牙周炎方面,C指数优于体重指数(BMI)和腰围(WC),表明其具有早期筛查的潜力。总体而言,C指数作为腹部肥胖的指标,不仅反映全身性肥胖,还与牙周炎患病率独立相关,为早期筛查提供了一种新的、可能有价值的工具。值得注意的是,C指数对牙周炎的预测能力明显优于传统的BMI和WC,表明在牙周炎的早期诊断和评估中具有更高的敏感性。C指数的临床应用可以帮助医疗保健专业人员在早期识别高危个体,从而能够及时进行干预,可能降低牙周炎的发病率以及随后的口腔健康问题。