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Frontiers | Non-alcoholic Fatty Liver Disease Is Associated With Aortic Calcification: A Cohort Study With Propensity Score Matching

Abstract Objectives: Non-alcoholic fatty liver disease (NAFLD) greatly affects cardiovascular disease, but evidence on the associations between NAFLD and markers of aortic calcification is limited. We aim to evaluate the association between NAFLD and aortic calcification in a cohort of Chinese adults using propensity score-matching (PSM) analysis. Methods: This prospective cohort study involved adults who underwent health-screening examinations from 2009 to 2016. NAFLD was diagnosed by abdominal ultrasonography at baseline, and aortic calcification was identified using a VCT LightSpeed 64 scanner. Analyses included Cox proportional-hazards regression analysis and PSM with predefined covariates (age, gender, marital and smoking status, and use of lipid-lowering drugs) to achieve a 1:1 balanced cohort. Results: Of 6,047 eligible participants, 2,729 (45.13%) were diagnosed with NAFLD at baseline, with a median age of 49.0 years [interquartile range: 44.0–55.0]. We selected 2,339 pairs of participants with and without NAFLD at baseline for the PSM subpopulation. Compared with those without NAFLD, patients with NAFLD were at a higher risk of developing aortic calcification during follow-up; significant results were observed before and after matching, with the full-adjusted hazard ratios and corresponding 95% confidence intervals being 1.19 (1.02–1.38) and 1.18 (1.01–1.38), respectively (both p < 0.05). In subgroup analyses, no interaction was detected according to age, gender, smoking status, body mass index, total cholesterol, low-density lipoprotein cholesterol, use of lipid-lowering drugs, hypertension, or type 2 diabetes. Conclusions: NAFLD may be independently associated with aortic calcification. Further studies are warranted to elucidate the possible underlying mechanisms.

United-states , Xiao-tang-shan , Beijing , China , Daur , Nei-mongol , Jinan , Shandong , Fangshan , Sichuan , Zhejiang , Degu

Frontiers | E-Learning Adoption in Higher Education Institutions During the COVID-19 Pandemic: A Multigroup Analysis

Using the DeLone and McLean (D&M) Model, the study explains the differences between female and male students’ accessibility to E-learning portals. This study compares female and male student groups regarding the usage of the E-learning portal in the higher education context. Using an online google survey, the data were collected from 254 students, including males and females. The study utilized PLS-SEM to perform a multi-group analysis examining female and male student groups. The multi-group analysis followed the MICOM procedure, and SmartPLS three was utilized to analyze the data. The study found a significant and direct relationship of E-service quality with system use and user satisfaction. System quality also supported the relationship with user satisfaction. The study further revealed a significant and positive relationship between system use and user satisfaction with E-learning portal success. This study found a direct relationship between system quality and user satisfaction with the E-learning portal success in the female model. This study also concluded that a difference exists in using the E-learning portal between female and male student in higher education institutions. Keywords – COVID-19, E-learning portal success, Gender, Higher education institutions, Afghanistan, PLS-MGA

New-york , United-states , Malaysia , Afghanistan , Urbana , Bacao , Minas-gerais , Brazil , China , Vietnam , Republic-of , South-africa

References - The 2000 Presidential Election and the Foundations of Party Politics

References - The 2000 Presidential Election and the Foundations of Party Politics
cambridge.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from cambridge.org Daily Mail and Mail on Sunday newspapers.

New-york , United-states , Australia , Ann-arbor , Michigan , Urbana , University-of-chicago , Illinois , United-kingdom , Texas , Philadelphia , Pennsylvania