In this study the levels of experienced burnout of Finnish and Chinese university students are compared using School Burnout Inventory (SBI). This study is motivated by earlier studies, which suggest that the level of student burnout is different in the culturally distinct Finnish and Chinese university systems, but which are based on different research instruments for the two groups. The sample studied consisted of 3,035 Finnish students and 2,309 Chinese students. Because of the cross-cultural nature of this study the level of structural equivalence of SBI between the cultural groups was examined and the effect of different response styles on the results was taken into account. Both standard and robust statistical methods were used for the analyses. The results showed that SBI with two extracted components is suitable for cross-cultural analysis between Finnish and Chinese university students. Virtually no difference was found in experienced overall burnout between the Finnish and Chinese students, which means that both university systems contain factors causing similar levels of student burnout. This study also verified that controlling for the response styles is important in cross-cultural studies as it was found to have a distinct effect on the results obtained from mean-level comparisons.
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http://dx.doi.org/10.1111/sjop.12380 | DOI Listing |
J Otol
October 2024
Department of Otolaryngology-Head and Neck Surgery, University of Colorado School of Medicine, Aurora, CO, USA.
Objective: To better understand the clinical phenotype of Ménière's disease (MD), we examined family history, thyroid disorder, migraine, and associated disorders in complaints of people living with MD.
Method: We designed the study as a retrospective and examined data gathered from 912 participants with MD. Their data were originally collected by the Finnish Ménière Federation (FMF).
Hereditas
January 2025
The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, No. 182 Chunhui Road, Longmatan District, Luzhou, Sichuan, 646000, China.
Background: Alzheimer's disease (AD) is a prevalent neurodegenerative disorder, with antibody-mediated immune responses to infectious diseases agents potentially playing a decisive role in its pathophysiological process. However, the causal relationship between antibodies and AD remains unclear.
Methods: A two-sample Mendelian randomization (MR) analysis was conducted to investigate the causal link between antibody-mediated immune responses to infectious diseases agents and the risk of AD.
Hereditas
December 2024
Department of Pediatric Spine Surgery, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou, China.
Background: Previous studies have shown that bone mineral density (BMD) has a certain impact on scoliosis. However, up to now, there is no clear evidence that there is a causal association between the two. The aim of this study is to investigate whether there is a causal association between BMD at different body positions and scoliosis by two-sample Mendelian randomization (MR).
View Article and Find Full Text PDFBMC Urol
December 2024
First Hospital of Shanxi Medical University, No. 85 Jiefang South Road, Taiyuan, Shanxi Province, 030001, China.
Objective: To identify therapeutic protein targets for bladder cancer (BCa) using Mendelian randomization (MR) and assess potential adverse effects of these targets.
Methods: A proteome-wide MR study was conducted to determine causal relationships between plasma proteins and BCa risk. In the discovery stage, the plasma proteins (Exposure) were sourced from the R10 of Finnish database, Olink (619 samples across 2925 proteins) and SomaScan (828 samples across 7596 proteins), and Iceland database.
J Psychosom Obstet Gynaecol
December 2024
Department of Obstetrics and Gynecology, The Sixth Medical Center of PLA General Hospital, Beijing, China.
Objective: Observational studies suggest a link between blood lipid levels and endometriosis risk, but clinical evidence is limited and causality has not been established. This study aims to clarify this relationship using NHANES data (1999-2006) and bidirectional Mendelian Randomization (MR) analysis.
Methods: We analyzed NHANES data to explore the relationship between blood lipids and endometriosis risk using multivariable logistic regression, nonlinear testing, and trend analysis.
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