Serum high-sensitivity C-reactive protein (hsCRP) and serum uric acid (SUA) are biomarkers that predict chronic inflammation and cardiovascular dysfunction. Therefore, we aimed to investigate the association between sleep duration, hsCRP, and SUA in Korean women. Cross-sectional data from the Seventh Korea National Health and Nutrition Examination Survey was analyzed. The odds ratio (OR) and 95% confidence intervals (CIs) for an association between higher hsCRP (>2.0 mg/L) or higher SUA (>5.6 mg/dL) and sleep duration were calculated using multiple logistic regression analyses after adjusting for potential confounders. In total, 6151 women were included in the analysis. There was a U-shaped relationship between continuous sleep duration, hsCRP, and SUA. Compared to those who slept for 7–8 h, the ORs (95% CIs) for higher hsCRP were 1.43 (0.95–2.16) in short sleepers and 1.64 (1.09–2.48) in long sleepers after adjusting for confounders. Compared with those who slept for 7–8 h, the ORs (95% CIs) for higher SUA were 1.54 (1.04–2.26) in short sleepers and 1.94 (1.27–2.96) in long sleepers after adjusting for confounders. We found a U-shaped association between sleep duration, hsCRP, and SUA in Korean women. 7–8 h sleep was associated with lower level of hsCRP and SUA in Korean women.
Background: Periodontitis is one of the most common diseases associated with the oral cavity. Previous studies have suggested that there is an association between periodontitis and metabolic dysfunction. Recently, the triglyceride glucose (TyG) index, high-density lipoprotein cholesterol (TG/HDL-C) ratio, and metabolic score for insulin resistance (METS-IR) index have been identified as useful markers for assessing insulin resistance. Objective: This study aimed to evaluate the relationship between periodontitis and non-insulin-based insulin resistance (IR) indices and compare the predictive values of these indices in the Korean population. Design: This is a cross-sectional study. Methods: A total of 13,584 participants were included in the 2013–2015 Korean National Health and Nutrition Examination Survey data. A community periodontal index score⩾3 was used to define periodontitis. Participants were divided into quartiles according to each index. Odds ratios (ORs) and 95% confidence intervals (CIs) for the prevalence of periodontitis and the TyG index, TG/HDL-C ratio, and METS-IR index quartiles were calculated using multiple logistic regression analysis. We estimated the areas under the receiver operating characteristic curves (AUCs) of the indices to compare the predictive values of the three indices. Results: Compared with quartile 1, the fourth quartile ORs (95% CIs) for periodontitis were 1.23 (1.01–1.49) for the TyG index, 1.23 (1.02–1.48) for the TG/HDL-C ratio, and 1.53 (1.25–1.88) for the METS-IR index after adjustment for confounders. The AUC (95% CIs) was 0.608 (0.598–0.618) for the TyG index, 0.600 (0.590–0.610) for the TG/HDL-C ratio, and 0.617 (0.608–0.627) for the METS-IR index to identify periodontitis. The predictive power of METS-IR was significantly higher than that of the TyG index and TG/HDL-C. Conclusion: Higher TG/HDL-C ratio, TyG, and METS-IR indices are associated with a higher prevalence of periodontitis. The METS-IR index is a more powerful predictor of periodontitis prevalence than the TyG index and TG/HDL-C ratio.
Aims The alcohol use disorders identification test (AUDIT) was developed to evaluate excessive drinking in primary care. The triglyceride (TG) glucose (TyG) index is a novel marker used for assessing insulin resistance. We sought to document relationships between high-risk drinking according to AUDIT and the TyG index and to evaluate whether the TyG index is more correlated with high-risk drinking than TG or fasting plasma glucose (FPG). Methods We analyzed data for 7014 participants in the 2013 and 2015 Korea National Health and Nutrition Examination Surveys. Excessive drinking risk groups were categorized according to AUDIT scores (low-risk, 0–7 in men and 0–6 in women; moderate-risk, 8–14 in men and 7–12 in women; and high-risk, ≥15 in men and ≥13 in women). Results In men, compared with low-risk individuals, the odds ratios (95% confidence intervals) for higher TyG index values were 1.84 (1.16–2.93) in the moderate- and 2.82 (1.86–4.30) in the high-risk groups. The correlation coefficient for the TyG index and AUDIT score was significantly higher than those for TG and FPG. No significant associations were noted in women. Conclusion High-risk drinking is significantly associated with higher TyG index values in men only. The TyG index can be a novel marker for assessing high-risk drinking in men.
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