Evidence map›Paper›PMID 38970059›Full record

ArticleLipids in health and disease2024

Associations between different triglyceride glucose index-related obesity indices and periodontitis: results from NHANES 2009-2014.

Liyuan Yang, Shiyan Fang, Runzhen Zhang, Rong Xia

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  15. Development of liver disease caused by chronic periodontitis in rats.Journal of applied oral science : revista FOB · 2025
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Liyuan YangDepartment of Stomatology, the Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Shiyan FangDepartment of Stomatology, the Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Runzhen ZhangDepartment of Stomatology, the Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Rong XiaDepartment of Stomatology, the Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China. xiarongqh@aliyun.com.

Funding

the Anhui Province Academic and Technical Leader Reserve Candidate Research Funding No. 2021H253
6 · The paper itself

Abstract

backgroundThis study aimed to explore the associations between triglyceride glucose (TyG) index-related obesity indices and periodontitis within the American population.

methodsThis cross-sectional investigation utilized data from the National Health and Nutrition Examination Survey (NHANES) for 2009-2014. The association between the TyG-waist-to-height ratio (TyG-WHtR), TyG-weight-adjusted-waist index (TyG-WWI), TyG-waist circumference (TyG-WC), or TyG-body mass index (TyG-BMI) and periodontitis was investigated utilizing multivariable logistic regression model, subgroup, and dose-response curve analyses.

resultsThis study enrolled 4,808 adult participants. Except for TyG-BMI, which did not exhibit a relationship with periodontitis, TyG-WHtR, [odds ratio (OR) (95% confidence interval (CI))] = 2.83 [1.58-5.10], P = 0.002], TyG-WWI [OR (95% CI) = 7.50 (3.06-18.34), P < 0.001], and TyG-WC [OR (95% CI) = 2.12 (1.23-3.64), P = 0.011] were all associated with periodontitis. Participants in the highest quartile displayed an elevated risk of periodontitis relative to their counterparts in the lowest quartile, as evidenced for TyG-WWI [OR (95% CI) = 1.72 (1.26-2.33), P = 0.001] and TyG-WC [OR (95% CI) = 1.50 (1.13-1.99), P = 0.009] in the full adjustment model. Subgroup analyses suggested more pronounced positive associations between these indices and periodontitis in participants who were < 60 years old, had a BMI ≥ 25, and did not have diabetes. The dose-response curve indicated linear responses in these associations.

conclusionsThis investigation identified a significant and stable association between TyG-WHtR, TyG-WWI, or TyG-WC and periodontitis, which implies a robust correlation between high insulin resistance and susceptibility to periodontitis in the American population.

Indexed as

Blood GlucoseBody Mass IndexNutrition SurveysObesityPeriodontitisTriglyceridesAdultAgedCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedOdds RatioRisk FactorsBlood GlucoseTriglyceridesInsulin resistanceNHANESPeriodontitisTyG indexTyG-related obesity index

Identifiers

PMID38970059
PMCPMC11225363

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.