ArticleBMC oral health2024
Association between cardiometabolic index (CMI) and periodontitis in US adults: analysis of NHANES data (2009-2014).
Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A Cross-Sectional Study Based on Deep Learning to Explore the Effect of Triglyceride/Glucose Index on Periodontitis: An Analysis Based on the Large NHANES Database.Oral health & preventive dentistry · 2026Article
- Association of eight anthropometric indexes related to obesity with the prevalence of clinical osteoarthritis among American adults: a national cross-sectional study.European journal of medical research · 2025Article
- Association between conicity index and prevalence of periodontitis in US adults: the 2009-2014 NHANES cross-sectional study.Scientific reports · 2025Article
- Association between cardiometabolic index and infertility risk: a cross-sectional analysis of NHANES data (2013-2018).BMC public health · 2025Article
- Association Between Cardiometabolic Index and Blood Pressure: A Cross-Sectional Analysis of the NHANES 2015-2018 Data.Reviews in cardiovascular medicine · 2025Article
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8 authors.
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Abstract
backgroundThe cardiometabolic index (CMI) is a new predictor of obesity-related diseases, but its link to periodontitis is under-researched. This study aims to examine the potential association between the CMI and periodontitis.
methodsWe conducted a cross-sectional study using the National Health and Nutrition Examination Survey (NHANES) database (2009-2014) to examine the potential association between CMI and periodontitis. The study utilized a weighted multivariate logistic model to assess the association between TG, HDL-C, TG/HDL-C, obesity indices (BMI, WC, WHtR, CMI), and periodontitis, employing the area under the receiver operating characteristic curves (ROC) to estimate areas under the curve (AUC). Furthermore, generalized smooth curve fitting was conducted to examine the relationship between CMI and periodontitis. Finally, the study incorporated subgroup analysis and interaction tests to examine consistency across different populations.
resultsTG/HDL-C, WHtR, and CMI were positively associated with periodontitis in the fully adjusted classification model. It was observed that for each unit increase in CMI, there was a corresponding 17.8% increase in the prevalence of periodontitis [1.178 (1.049, 1.322) 0.00562] and 18.7% increase in the prevalence of moderate/severe [1.187 (1.057, 1.334) 0.00376] in the fully adjusted model. When CMI was used as a categorical variable, the adjusted OR for periodontitis prevalence increased significantly with increasing CMI after adjusting for all potential covariates (T3 vs. T1: OR, 1.28 [1.06, 1.55], p < 0.05). The ROC analysis indicated that a larger area under the curve was found in the CMI [0.554 (0.538-0.570)] than in the WC [0.544 (0.528-0.560)] and WHtR [0.544 (0.528-0.561)]. Nonetheless, the discrepancy observed did not reach statistical significance (all p > 0.05). Further generalized smooth curve fitting and threshold effect models indicated a positive linear correlation between CMI and periodontitis. Moreover, there is no interactive association between TG/HDL-C, WHtR, CMI, and periodontitis.
conclusionsThis cross-sectional study revealed a positive relationship between CMI and periodontitis. Further prospective studies are warranted to validate our findings.
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