Association between triglyceride glucose index and total bone mineral density: a cross-sectional study from NHANES 2011–2018

Tian, Ningsheng; Chen, Shuai; Han, Huawei; Jin, Jie; Li, Zhiwei

doi:10.1038/s41598-024-54192-9

Cited by 4 publications

(1 citation statement)

References 88 publications

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“…Two large nationally representative datasets from China [China Health and Aging Longitudinal Study (CHARLS)] and the United States [National Health and Nutrition Examination Survey (NHANES)] were used. For China, we use CHARLS 2011-2012 survey data, and for the U.S., we aggregate data from 10 NHANES cycles from 1999-2018.The details of CHARLS and NHANES have been described elsewhere ( 29 , 30 ). CHARLS is a nationally representative survey being conducted in China.…”

Section: Methodsmentioning

confidence: 99%

Association between triglyceride glucose index and hyperuricemia: a new evidence from China and the United States

Gou,

Dou,

Tian

et al. 2024

Front. Endocrinol.

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BackgroundHyperuricemia (HUA) is a glo\bal public health problem. The etiology of HUA is complex and efficient and accurate assessment metrics are still lacking when conducting large-scale epidemiologic screening. The aim of this study was to evaluate the association of the triglyceride glucose (TyG) index, TyG-body mass index (BMI), TyG-waist-to-height ratio (WHtR) with the risk of HUA.MethodsBased on data collected from the National Health and Nutrition Examination Survey (NHANES) in the United States and the China Health and Aging Longitudinal Study (CHARLS) in China, a total of 14,286 U.S. adults and 4,620 Chinese adults were included in the analysis. The study examined the levels of TyG, TyG-BMI, TyG-WHtR, and TyG-WC. Multivariate logistic regression was utilized to investigate the relationships between these variables and hyperuricemia (HUA), separately. Additionally, the study used restricted cubic splines (RCS) to explore the linear associations of TyG, TyG-BMI, TyG-WHtR, TyG-WC, and HUA, separately.ResultsThe NHANES results showed that TyG [Q2, 1.58(1.26, 1.98); Q3, 2.36 (1.94, 2.88); Q4, 3.21 (2.61, 3.94)], TyG-BMI [Q2, 2.14 (1.74, 2.65); Q3, 3.38 (2.74, 4.17); Q4, 6.70 (5.55, 8.02)], TyG-WHtR [Q2, 1.92 (1.56, 2.36); Q3, 3.14 (2.56, 3.85); Q4, 6.28 (5.12, 7.69)], TyG-WC [Q2, 2.32 (1.85, 2.90); Q3, 3.51 (2.84, 4.34); Q4, 7.32 (5.95, 9.02)] were identified as risk factors for hyperuricemia (HUA). Similarly, the CHARLS results, when fully adjusted for covariates, indicated that TyG [Q4, 2.36 (1.08, 5.15)], TyG-BMI [Q3, 2.60 (1.05, 6.41); Q4, 3.70 (1.64, 8.32)], TyG-WHtR (Q4, 2.84 (1.23, 6.55), TyG-WC [Q4, 2.85 (1.23, 6.5)] were also risk factors for HUA. The predictive ability of each indicator for the risk of developing HUA was stronger in women than in men. Furthermore, there was an observed nonlinear relationship between TyG, TyG-BMI, TyG-WHtR, TyG-WC, and HUA in both the NHANES and CHARLS datasets (P-nonlinearity < 0.05).ConclusionThese findings suggest that TyG, TyG-BMI, TyG-WHtR and TyG-WC are associated with an increased risk of HUA. They are potential indicators for screening HUA status in the general population in China and the United States.

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Section: Methodsmentioning

confidence: 99%

Association between triglyceride glucose index and hyperuricemia: a new evidence from China and the United States

Gou,

Dou,

Tian

et al. 2024

Front. Endocrinol.

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Insulin resistance and periodontitis: Mediation by blood pressure

Kalhan,

Romandini

et al. 2024

J of Periodontal Research

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AimThis study investigated the association between the triglyceride‐glucose (TyG) index, a surrogate marker of insulin resistance, and moderate/severe periodontitis and the role of blood pressure as a mediator in this association. A second aim was to assess the role of cardiometabolic conditions such as obesity, hypertension, and dyslipidemia as potential effect modifiers.MethodsData from 5733 US adults aged 30–64 years and with complete periodontal examination were analyzed (NHANES 2011–2014). Participants were classified as having moderate/severe periodontitis or mild/no periodontitis according to the CDC/AAP criteria as the outcome. The exposure was the TyG index, while both systolic (SBP), and diastolic (DBP) blood pressure were tested as mediators using parametric g‐formula. Analyses were adjusted for relevant confounders, namely, age, sex, ethnicity, poverty‐income ratio, and smoking, using inverse probability treatment weighting. Obesity status (based on a body mass index ≥30 kg/m2), self‐report of hypertension and dyslipidemia (calculated based on the thresholds provided by National Cholesterol Education Program‐Adult Treatment Panel‐III) were tested as effect modifiers.ResultsThe findings showed the TyG index to be associated with increased odds of moderate/severe periodontitis [odds ratio (OR), 95% confidence interval (CI) = 1.17 (1.11–1.23)], with 50% of the total effect mediated by SBP. Stratified analysis showed a stronger association in individuals with obesity, hypertension, and dyslipidemia compared to those without these conditions. However, in those taking anti‐hypertensive medications, the association was partially mitigated. Sensitivity analysis using imputed data showed consistent results.ConclusionThe TyG index was associated with increased odds of moderate/severe periodontitis, especially in individuals with obesity, hypertension, and dyslipidemia. SBP levels partially mediated this association.

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A causal relationship between sleep behaviour and osteoporosis: a two-sample reverse-mediated Mendelian randomisation study

Wang,

Li,

Liu

2024

Preprint

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Background In recent years, there have been more and more clinical observational studies on sleep behaviour and osteoporosis, but the causal relationship between sleep behaviour and osteoporosis at the genetic level, and whether there are mediating factors between the two is still unclear. Methods From the published GWAS data, seven sleep behaviours were selected as exposure factors: insomnia, sleep time, getting up in the morning, napping during the day, sleep type (early/late rise), narcolepsy and snoring. Bone mineral density of heel (H-BMD), forearm (FA-BMD), lumbar vertebra (LS-BMD) and femoral neck (FN-BMD) were the outcome factors. The causal relationship between low-density lipoprotein cholesterol (LDL-C) and triglyceride (TG) was analyzed through Mendelian randomization. Results The results of a two-sample Mendelian randomization study showed that snoring was positively correlated with lumbar bone density (OR = 1.555, 95%CI: 1.189–2.032, P = 0.001). The results of reverse Mendelian randomization showed that lumbar bone density was not the cause of snoring (P = 0.466). Mediating Mendelian randomization studies showed that both LDL cholesterol and triglycerides had mediating effects on sleep behaviour and bone density (OR = 0.92, 95%CI: 0.87–0.98, P = 5.56e-3) (OR = 1.17, 95%CI: 1.09–01.26, P = 3.72e-5). Conclusions Our study shows that snoring is a factor affecting lumbar bone density, and low-density lipoprotein cholesterol and triglyceride play an intermediary role in it. Therefore, correcting snoring and controlling low-density lipoprotein cholesterol and triglyceride index should be included in the clinical regimen for preventing and treating bone mineral density decline.

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Association between triglyceride glucose index and total bone mineral density: a cross-sectional study from NHANES 2011–2018

Cited by 4 publications

References 88 publications

Association between triglyceride glucose index and hyperuricemia: a new evidence from China and the United States

Association between triglyceride glucose index and hyperuricemia: a new evidence from China and the United States

Insulin resistance and periodontitis: Mediation by blood pressure

A causal relationship between sleep behaviour and osteoporosis: a two-sample reverse-mediated Mendelian randomisation study

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