High-density lipoprotein cholesterol trajectory and new-onset metabolic dysfunction-associated fatty liver disease incidence: a longitudinal study.

BACKGROUND: Although high-density lipoprotein cholesterol (HDL-C) exerts a significant influence on the development of metabolic dysfunction-associated fatty liver disease (MAFLD), the association of dynamic changes in HDL-C levels with the risk of MAFLD remains unclear. Thus, the aim of the current study was to explore the association between the changing trajectories of HDL-C and new-onset MAFLD. The findings of this study may provide a theoretical basis for future personalized intervention and prevention targeting MAFLD. METHODS: A total of 1507 participants who met the inclusion criteria were recruited from a community-based physical examination population in Nanjing, China from 2017 to 2021. Group-based trajectory models were constructed to determine the heterogeneous HDL-C trajectories. The incidence of MAFLD in each group in 2022 was followed up, and the Cox proportional hazards regression model was applied to investigate the associations between different HDL-C trajectories and the risk of new-onset MAFLD. RESULTS: The incidences of MAFLD in the low-stable, moderate-stable, moderate-high-stable, and high-stable groups of HDL-C trajectory were 26.5%, 13.8%, 7.2% and 2.6%, respectively. The incidence rate of MAFLD in the order of the above trajectory groups exhibited a decreasing trend (χ2 = 72.55, Ptrend<0.001). After adjusting for confounders, the risk of MAFLD onset in HDL-C low-stable group was still 5.421 times (95%CI: 1.303-22.554, P = 0.020) higher than that in the high-stable group. Subgroup analyses of the combined (moderate high-stable and high-stable groups combined), moderate-stable and low-stable groups showed that sex, age, and overweight/obesity did not affect the association between HDL-C trajectory and MAFLD risk. CONCLUSIONS: Persistently low HDL-C level is a risk factor for the onset of MAFLD. Long-term monitoring of HDL-C levels and timely intervention for those experiencing persistent declines are crucial for early prevention of MAFLD.

Understanding hepatitis E vaccination intention among women of childbearing-age: A theory-based cross-sectional study.

OBJECTIVES: The purpose of this study was to investigate the HEV vaccination intention, its determinants, and overall influence mechanisms among childbearing-age women. METHOD: The current study was cross-sectional and conducted online from June 25, 2023 to September 25, 2023 in Nanjing, China. Logistic regression models were constructed to identify the intention-associated background factors. Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) were integrated and expanded as TAM-TPB model to further investigate the determinants and overall influence mechanism of HEV vaccination intention among this population using structural equation modeling. RESULTS: A total of 423 eligible participants were included in this study. High general HEV knowledge was independently associated with an increased intention to get HEV vaccination (OR = 1.97, 95 % CI: 1.11-3.58, P = 0.023). All the hypotheses proposed in the theoretical TAM-TPB model were supported, with perceived ease of use, perceived usefulness, attitude, subjective norm, and perceived behavioral control positively affecting the intention of HEV vaccination (all P values <0.05), while perceived risk (P = 0.003) exhibited an inverse association with HEV vaccination intention. The model achieved an acceptable fit, and the total explained variance of HEV vaccination intention was as high as 86.20 %. Moreover, no significant common method bias was observed. CONCLUSION: This is the first theory-based study that explored the HEV vaccination intention, its determinants, and overall influence mechanism among childbearing-age women. The results of the current study are of great importance for improving the understanding of the HEV vaccination intention among females of childbearing age.

Association of volatile organic compound exposure with metabolic syndrome and its components: a nationwide cross-sectional study.

BACKGROUND: Metabolic syndrome (MetS) is a health issue consisting of multiple metabolic abnormalities. The impact of exposure to volatile organic compounds (VOCs) on MetS and its components remains uncertain. This study aimed to assess the associations of individual urinary metabolites of VOC (mVOCs) and mVOC mixtures with MetS and its components among the general adult population in the United States. METHODS: A total of 5345 participants with eligible data were filtered from the 2011-2020 cycles of the National Health and Nutrition Examination Survey. Multivariate logistic regression models were applied to assess the associations of individual mVOCs with MetS and its components. The least absolute shrinkage and selection operator (LASSO) regression models were constructed to identify more relevant mVOCs. The weight quantile sum regression model was applied to further explore the links between mVOC co-exposure and MetS and its components. RESULTS: The results indicated positive associations between multiple mVOCs and MetS, including CEMA, DHBMA, and HMPMA. CEMA was found to be positively correlated with all components of MetS. HMPMA was associated with elevated triglyceride (TG), reduced high-density lipoprotein, and fasting blood glucose (FBG) impairment; 3HPMA was associated with an elevated risk of high TG and FBG impairment; and DHBMA had positive associations with elevated TG and high blood pressure. The co-exposure of LASSO-selected mVOCs was associated with an increased risk of elevated TG, high blood pressure, and FBG impairment. CONCLUSION: Positive associations of certain individual urinary mVOCs and mVOC mixtures with MetS and its components were observed by utilizing multiple statistical models and large-scale national data. These findings may serve as the theoretical basis for future experimental and mechanistic studies and have important implications for public health.

The burden of HEV-related acute liver failure in Bangladesh, China and India: a systematic review and meta-analysis.

BACKGROUND: Hepatitis E can potentially progress to HEV-related acute liver failure (HEV-ALF). East and South Asia bear a substantial burden of HEV infection, with Bangladesh, China, and India facing the most severe threat in this region. Therefore, we conducted a systematic review and meta-analysis to evaluate the burden of HEV-ALF in these three high-risk countries. METHODS: A systematic literature search was performed utilizing PubMed, the Cochrane Library, Medline, Embase, and Web of Science databases. Studies in English or Chinese that reported data on the burden of HEV-ALF in Bangladesh, China and India were included. Outcomes were pooled with meta-analysis utilizing R software. Estimates were calculated with random-effects models, and subgroup analysis and sensitivity analysis were conducted to address heterogeneity. Egger's test and Begg's test were performed to assess publication bias. RESULTS: A total of 20 eligible studies were included in this study. The pooled HEV-attributable proportion of viral-related acute liver failure was estimated to be 40.0% (95% CI: 0.28-0.52), 30.0% (95% CI: 0.18-0.44), and 61.0% (95% CI: 0.49-0.72) among non-pregnant individuals in India, China and Bangladesh, while in Indian pregnant females, it was 71.0% (95% CI: 0.62-0.79). The combined prevalence among non-pregnant HEV-infected participants was 28.0% (95% CI: 0.20-0.37) and 10.0% (95% CI: 0.01-0.28) in India and China, and it was 34.0% (95% CI: 0.27-0.42) in Indian pregnant females with HEV infection. The overall mortality of HEV-ALF was estimated to be 32.0% (95% CI: 0.23-0.42) and 64.0% (95% CI: 0.50-0.77) among the non-pregnant and the pregnant participants in India, and it was 23.0% (95% CI: 0.14-0.34) in Chinese non-pregnant participants. CONCLUSIONS: The burden of HEV-ALF in Bangladesh, China, and India is non-negligible despite geographic and population heterogeneity. The prevention of HEV infection and early recognition of HEV-ALF are of great significance, especially in high-risk countries and populations. REGISTRATION: PROSPERO registration ID is CRD42022382101.