Introduction: The COVID-19 pandemic brought about unprecedented problems for contemporary society. Among the numerous challenges faced following the spread of the virus, the need to provide assessment tools and remote psychological assistance certainly deserves particular attention. Indeed, this profound paradigm shift in psychological assessment and care occurred during a period of fragility for people already suffering from the restrictions imposed to stem the spread of the virus. One population particularly affected by the pandemic was students, including university students. The latter faced the pandemic in a particularly critical formative period.
Methods: For these reasons, our systematic review has two main objectives: (i) identify the assessment tools and psychological dimensions most used/investigated during the pandemic in Italian university students; (ii) systematize and deepen our knowledge about the impact of the pandemic on the psychological wellbeing of Italian university students. Our search used PRISMA 2020 guidelines on Web of Science, Pubmed, Scopus, and EBSCOHost.
Results: The results indicated that the psychological dimensions most investigated in university students during the pandemic were anxiety and depression. At the same time, the most used assessment instruments were the State-Trait Anxiety Inventory (STAI-Y) and the Beck Depression Inventory-II (BDI-II). Furthermore, it is clear from the results that the pandemic has harmed the psychological wellbeing of university students. Finally, we dedicated a section to discuss the interventions implemented by university counseling services during the pandemic.
Discussion: This review could improve the work of university counseling services in this post-pandemic period and contribute to developing specific screening and assessment programs for future emergencies.
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http://dx.doi.org/10.3389/fpsyg.2024.1388419 | DOI Listing |
Sci Rep
December 2024
School of Physical Education, Southwest Petroleum University, Chengdu, 610500, China.
Stroke is one of the leading causes of death in developing countries, and China bears the largest global burden of stroke. This study aims to investigate the relationship between different dimensions of physical activity levels and stroke risk using a nationally representative database. We performed a cross-sectional analysis using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020.
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December 2024
Trauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran.
This study aimed to investigate comfort and its related factors in clinical nurses working in teaching hospitals of Kashan University of Medical Sciences in Iran. In this cross-sectional study, 300 nurses were selected by stratified random sampling method (2022). Data were collected using the Persian version of the nurse comfort questionnaire and a questionnaire of possible related factors.
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December 2024
Department of Orthopedics, The Second Affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
The DNA cross-link repair 1B (DCLRE1B) gene is involved in repairing cross-links between DNA strands, including those associated with Hoyeraal-Hreidarsson syndrome and congenital dyskeratosis. However, its role in tumours is not well understood. DCLRE1B expression profiles were examined in tumour tissues and normal tissues using TCGA, GTEx, and TARGET datasets.
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December 2024
School of Psychology, Inner Mongolia Normal University, Hohhot, China.
The purpose of this study was to evaluate the psychometric properties of the Chinese version of the Revised Indebtedness Scale (IS-R-C) in mainland China. A total of 1057 university students participated in this study using a two-wave whole-group sampling method. Sample 1, consisting of 537 participants, was used for item analysis and exploratory factor analysis (EFA) of the Revised Indebtedness Scale (IS-R).
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December 2024
School of Physical Education, Shanghai University of Sport, Shanghai, 200438, China.
Objective: This study aimed to examine the levels of physical activity (PA), sleep, and mental health (MH), specifically depression, anxiety, and stress, among Chinese university students. It also aimed to analyze the influencing factors of MH, providing a theoretical foundation for developing intervention programs to improve college students' mental health.
Methods: A stratified, clustered, and phased sampling method was employed.
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