Psychological Distress of International Students during the COVID-19 Pandemic in China: Multidimensional Effects of External Environment, Individuals' Behavior, and Their Values

Bibliometric study of the scientific productivity of the COVID-19 impact on constructs affecting happiness in university students

COVID-19 has caused a wide range of psychological problems, such as panic disorders, anxiety, and depression. Knowing what others have researched on, what constructs they have focused on, will (a) summarize published information, (b) help identify research gaps, and (c) encourage future research that addresses these gaps. The aim of the study was to analyze the bibliometric indicators of scientific productivity of the impact of COVID-19 on constructs affecting undergraduate happiness. A bibliometric study was conducted. The PubMed database was used. Data summarized were: authors, year of publication, journal name, country, language of publication, and subtopic addressed. A total of 16 English-language studies were identified between April 2022 and December 2022. There were 12 countries that have published on the impact of COVID-19 on constructs affecting college students' happiness. Most of the studies were developed in the United States (n = 4, 25%) and China (n = 2, 12.5%). Thirteen journals publishing these topics were detected. The subtopics considered were organized into nine categories (e.g., a: Psychological impact, b: Adverse childhood experiences, c: Stress, d: Personality traits, e: Perception of the educational environment, f: Spiritual health, g: Distress, h: Uncertainty and socioemotional learning, i: Satisfaction with life). This study suggests that the number of countries and scientific journals that have published on the impact of COVID-19 on constructs affecting college students' happiness is small. In addition, the most discussed subtopics during the pandemic were related to constructs such as psychological impact and stress affecting college students' happiness.

The impact of empathy, sensation seeking, anxiety, uncertainty, and mindfulness on the intercultural communication in China during the COVID-19

Objective

This study seeks to explore factors that have shaped the intercultural communication effectiveness (ICE) of international students (IS) during the COVID-19 pandemic. Theoretical predictions of anxiety uncertainty management (AUM) are considered to assess the ICE of IS who stayed in China throughout the COVID-19 pandemic. The prime causal factors of AUM theory (anxiety, uncertainty, and mindfulness) are included with empathy and sensation, seeking to examine their impact on ICE among IS in China.

Methods

A quantitative research design was designed to survey IS via convenience samples from across China with a total of 261 IS from 42 different cultural backgrounds responding to invitations to participate in a Chinese-English survey. Well-established measurement tools were adopted to measure empathy (Cultural Empathy scale), sensation seeking (Brief Sensation Seeking Scale), anxiety (Intercultural Anxiety scale), uncertainty (Intercultural Uncertainty scale), mindfulness (Cognitive and Affective Mindfulness Scale-Revised), and ICE (Perceived Effectiveness of Communication scale).

Findings

The findings revealed that anxiety (t = -3.61, p < 0.05) and uncertainty (t = -2.51, p < 0.05) had a negative impact on ICE. However, mindfulness (t = 3.93, p < 0.05), empathy (t = 3.60, p < 0.05), and sensation seeking (t = 7.93, p < 0.05) had a positive influence on ICE. Furthermore, the moderating effect of mindfulness is affirmed in this study.

Conclusion

This study has reconfirmed the theoretical reasonings and applicability of AUM theory with the addition of empathy and sensation seeking by IS in the cultural context of China during the COVID-19 pandemic.

Perceptions of the Sense of Security, Belonging, and Acculturative Stress among International Students in China during COVID-19 Outbreak-An Empirical Analysis

Understanding the cross-cultural adaptation of students studying in foreign countries by exploring acculturative stress factors is crucial to ensure the smooth academic performance of the students and, in turn, to enhance the global reputation of their universities. Therefore, it is an area of interest for the authorities (Ministry) and the corresponding management of universities. Using a random sample of 138 international students in China, descriptive and logistic regressions were conducted to assess the levels and influence of acculturative stress factors on cross-cultural adaptation, specifically on international students' sense of security and belonging during the COVID-19 pandemic outbreak. The results revealed that students were most concerned about homesickness, which obtained the highest mean score. The regression results indicated that the perception of fear and discrimination significantly impacted international students' sense of security. The perception of fear, guilt, and how long the student stayed in China also significantly affected the sense of belonging. We argue that the reflections provided herein are essential for universities to improve how they manage and handle international students to mitigate the effects of acculturative stress, particularly when additional stressful conditions are present, such as the COVID-19 pandemic.

Introduction: Journaling and Mental Health during COVID-19: Insights from the Pandemic Journaling Project

In this article, we introduce the SSM-MH Special Issue "Journaling and Mental Health during COVID-19: Insights from the Pandemic Journaling Project," which presents findings from the Pandemic Journaling Project (PJP). PJP is an online journaling platform and mixed-methods research study created in May 2020 to provide ordinary people around the world an opportunity to chronicle the impact of the COVID-19 pandemic in their lives-for themselves and for posterity. The essays in this collection demonstrate how journaling via an online platform can help illuminate experiences of mental wellbeing and distress, with important implications for both research and clinical practice. We begin by introducing the Pandemic Journaling Project and describing our procedures for generating the data subsets analyzed in the papers collected here. We then outline the principal interventions of the special issue as a whole, introduce the papers, and identify a number of cross-cutting themes and broader contributions. Finally, we point toward key questions for future research and therapeutic practice by highlighting the three-fold value of online journaling as a research method, a therapeutic strategy, and a tool for advancing social justice. We focus in particular on how this innovative methodological approach holds promise as both a modality for psychotherapeutic intervention and a form of grassroots collaborative ethnography. We suggest that our methods create new opportunities for confronting the impact of pandemics and other large-scale events that generate radical social change and affect population-level mental health.

The psychological impact of COVID-19 on university students in China and Africa

The COVID-19 pandemic is alarmingly a global health catastrophe that has created an unprecedented mental health decline especially in young adults, who have been noted to be a vulnerable population. In this study, we investigated the prevalence of depression and anxiety in university students in China and Africa during the COVID-19 pandemic, the significant factors contributing to the prevalence of anxiety and depression, the differences in factors affecting the different groups being investigated and to emphasize that psychological intervention are as important as the physical interventions during and after the pandemic. The study was conducted through online surveys, with 684 participants using Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 standardized scales. Comparing all groups combined, of the 636 participants, 361 (56.8%) had depression and 227 (35.7%) had anxiety. Chi squared tests at significance level (P<0.05) showed that country of citizenship, religion, parents’ educational background, household monthly income and, having family members with COVID-19 variables were strongly associated with depression and anxiety. In contrast, age, gender, educational background, and major showed no significant association. Comparing the individual groups separately using chi square (P<0.05), the Chinese students in China group had 35.6% with depression and 13.1% with anxiety. The variable associated with both depression and anxiety was education major, with depression only was parent’s educational background and with anxiety only was gender. The African students in China group had 70.3% with depression and 45.0% with anxiety. Gender was strongly associated with both depression and anxiety, and religion and having family members with COVID-19 with anxiety only. Africans in Africa had 66.0% with depression and 50.5% with anxiety. Educational background was strongly associated with depression. There was no statistically significant variable for anxiety. Chi square test showed a statistically significant difference in depression and anxiety levels with the Chinese group compared to both African groups, and no significant difference between both African groups. Our findings demonstrated that COVID-19 had a negative psychological impact on university students. Therefore, more attention should be put on youth’s mental health during this pandemic.

Online learning satisfaction and its associated factors among international students in China

The outbreak of the COVID-19 pandemic has caused a substantial transition of Chinese international education to online learning. This article discusses the impact of online learning from international students’ perspectives. Data were collected from exploratory interviews with a small group of international students at a research university and a nationwide survey involving 1,010 international students at 41 universities in China. A synthesis of the two studies’ findings pointed to low levels of online learning satisfaction, particularly among international students from Africa, those in undergraduate programs, those in life sciences and medical disciplines, and those studying at research-centered universities. Moreover, both studies revealed low emotional engagement significantly predicted international students’ online learning dissatisfaction. To enhance international students’ satisfaction, it is suggested that universities and teachers prioritize the building of student-centered online learning environments supporting international students’ emotional involvement and helping them feel a greater sense of belonging in online intercultural learning.

COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare

In the recent pandemic, accurate and rapid testing of patients remained a critical task in the diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of the sudden increase in cases, most countries have faced scarcity and a low rate of testing. Chest X-rays have been shown in the literature to be a potential source of testing for COVID-19 patients, but manually checking X-ray reports is time-consuming and error-prone. Considering these limitations and the advancements in data science, we proposed a Vision Transformer-based deep learning pipeline for COVID-19 detection from chest X-ray-based imaging. Due to the lack of large data sets, we collected data from three open-source data sets of chest X-ray images and aggregated them to form a 30 K image data set, which is the largest publicly available collection of chest X-ray images in this domain to our knowledge. Our proposed transformer model effectively differentiates COVID-19 from normal chest X-rays with an accuracy of 98% along with an AUC score of 99% in the binary classification task. It distinguishes COVID-19, normal, and pneumonia patient's X-rays with an accuracy of 92% and AUC score of 98% in the Multi-class classification task. For evaluation on our data set, we fine-tuned some of the widely used models in literature, namely, EfficientNetB0, InceptionV3, Resnet50, MobileNetV3, Xception, and DenseNet-121, as baselines. Our proposed transformer model outperformed them in terms of all metrics. In addition, a Grad-CAM based visualization is created which makes our approach interpretable by radiologists and can be used to monitor the progression of the disease in the affected lungs, assisting healthcare.