Association Between Triglyceride-Glucose Index and Risk of Periodontitis: A Cross-Sectional Study.

NHANES periodontitis propensity score matching triglyceride-glucose index

Journal

International journal of general medicine
ISSN: 1178-7074
Titre abrégé: Int J Gen Med
Pays: New Zealand
ID NLM: 101515487

Informations de publication

Date de publication:
2021
Historique:
received: 17 09 2021
accepted: 01 12 2021
entrez: 23 12 2021
pubmed: 24 12 2021
medline: 24 12 2021
Statut: epublish

Résumé

The purpose of this study was to investigate the TyG index in the occurrence of periodontitis among the United States (US) population. We analyzed clinical data from 4813 participants in the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2014. the TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Dose-response curves, univariate and multivariate logistic analyses were used to analyze the adjusted odds ratio (aOR) and 95% confidence interval (CI) between TyG index and periodontitis. In addition, we performed 1:1 propensity score matching (PSM) for periodontitis and no periodontitis participants to further explore the relationship between TyG and periodontitis. A total of 4813 participants were included in our study, of which 1353 (28.1%) reported periodontitis and 3460 (71.9%) no periodontitis. The dose-response curves showed a non-linear positive association between TyG and periodontitis, with the risk of periodontitis increased with increasing TyG. In addition, similar results were still observed after subgroup analysis and PSM analysis. After adjusting for confounding variables, multivariate logistic analysis showed that TyG was associated with an increased risk of periodontitis (aOR =1.153; 95% CI 1.006-1.322, p=0.034). Elevated TyG index was significantly associated with a high risk of periodontitis, and people with a high TyG index should be aware of the risk of periodontitis progression in order to establish lifestyle changes at an early stage.

Sections du résumé

BACKGROUND BACKGROUND
The purpose of this study was to investigate the TyG index in the occurrence of periodontitis among the United States (US) population.
METHODS METHODS
We analyzed clinical data from 4813 participants in the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2014. the TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Dose-response curves, univariate and multivariate logistic analyses were used to analyze the adjusted odds ratio (aOR) and 95% confidence interval (CI) between TyG index and periodontitis. In addition, we performed 1:1 propensity score matching (PSM) for periodontitis and no periodontitis participants to further explore the relationship between TyG and periodontitis.
RESULTS RESULTS
A total of 4813 participants were included in our study, of which 1353 (28.1%) reported periodontitis and 3460 (71.9%) no periodontitis. The dose-response curves showed a non-linear positive association between TyG and periodontitis, with the risk of periodontitis increased with increasing TyG. In addition, similar results were still observed after subgroup analysis and PSM analysis. After adjusting for confounding variables, multivariate logistic analysis showed that TyG was associated with an increased risk of periodontitis (aOR =1.153; 95% CI 1.006-1.322, p=0.034).
CONCLUSION CONCLUSIONS
Elevated TyG index was significantly associated with a high risk of periodontitis, and people with a high TyG index should be aware of the risk of periodontitis progression in order to establish lifestyle changes at an early stage.

Identifiants

pubmed: 34938103
doi: 10.2147/IJGM.S339863
pii: 339863
pmc: PMC8687520
doi:

Types de publication

Journal Article

Langues

eng

Pagination

9807-9816

Informations de copyright

© 2021 Li et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest in this work.

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Auteurs

Lili Li (L)

Department of Periodontology, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, Jiangsu Province, People's Republic of China.

Lu Li (L)

Department of Periodontology, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, Jiangsu Province, People's Republic of China.

Yi Zhou (Y)

Department of Periodontology, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, Jiangsu Province, People's Republic of China.

Xu Chen (X)

Department of Periodontology, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, Jiangsu Province, People's Republic of China.

Yan Xu (Y)

Department of Periodontology, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, Jiangsu Province, People's Republic of China.

Classifications MeSH