The COVID-19 pandemic continues to affect the daily life of college students, impacting their social life, education, stress levels and overall mental well-being. We study and assess behavioral changes of N=180 undergraduate college students one year prior to the pandemic as a baseline and then during the first year of the pandemic using mobile phone sensing and behavioral inference. We observe that certain groups of students experience the pandemic very differently. Furthermore, we explore the association of self-reported COVID-19 concern with students' behavior and mental health. We find that heightened COVID-19 concern is correlated with increased depression, anxiety and stress. We evaluate the performance of different deep learning models to classify student COVID-19 concerns with an AUROC and F1 score of 0.70 and 0.71, respectively. Our study spans a two-year period and provides a number of important insights into the life of college students during this period.
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http://dx.doi.org/10.1145/3491102.3502043 | DOI Listing |
BMC Psychol
December 2024
Mental Health Education and Counseling Center, Nanchang Hangkong University, 696, Fenghe South Avenue, Nanchang, 330063, China.
Purpose: This study aims to examine how college students' information literacy affects their online learning engagement and what factors contribute to this relationship.
Method: The research adopted the method of cluster sampling to deliver a questionnaire survey to a sample of 1421 students' representative of four colleges. Information Literacy Scale, Online Learning Engagement Scale, Information Literacy Self-Efficacy Scale, and Psychological Resilience Scale were utilized in this study.
BMC Med Inform Decis Mak
December 2024
Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Background: High triglyceride (TG) affects and is affected of other hematological factors. The determination of serum fasted triglycerides concentrations, as part of a lipid profile, is crucial key point in hematological factors and significantly affect various systemic diseases. This study was carried out to assess the potential relation between the concentration of TG and hematological factors.
View Article and Find Full Text PDFBMC Med Educ
December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFBMC Infect Dis
December 2024
Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Background: Mucocutaneous leishmaniasis (MCL) is a severe form of leishmaniasis causing chronic and destructive lesions. Accurate diagnosis is crucial for effective treatment. Traditional methods, such as the Montenegro skin test is delayed hypersensitivity test.
View Article and Find Full Text PDFPhysiol Behav
December 2024
Department of Physical Education, Shanghai Jiao Tong University, Shanghai, China. Electronic address:
Objective: This study aimed to examine the associations between different types and duration of sedentary behaviors and depressive symptoms among college students.
Methods: A cross-sectional study was conducted at a university in Shanghai, China, utilizing convenience sampling to recruit 3,190 participants (mean age 20.06 ± 1.
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