The Family Vitiligo Impact Scale (FVIS) is the first reliable and valid instrument to evaluate the psychological and social impact on family members with vitiligo. However, the FVIS has not yet been validated in China.

This study aimed to adapt the FVIS across cultures and utilize a cross-sectional design to validate its reliability and validity in evaluating the quality of life of family members with vitiligo in China.

The original version scale was first translated into Chinese using Brislin back- translation method. This study was conducted among adult individuals in China (N = 348). The participants were aged 18 to 70 years, with a mean age of 33.6 years (SD = 11.3). The sample consisted of 50.9% females (n = 177) and 49.1% males (n = 171). Respondents completed the Chinese versions of the FVIS and Family Dermatology Life Quality Index (FDLQI). Exploratory factor analysis (EFA) and confrmatory factor analysis (CFA) were used to test the construct validity of the scale, and the content validity of the scale was assessed through the content validity index. The internal consistency of the scale was assessed by calculating Cronbach's alpha coefcient, Omega coefcient, split-half reliability, and test-retest reliability.

EFA supported a three-factor structure, explaining 79.208% of cumulative variance. CFA demonstrated satisfactory construct validity for the FVIS, with excellent model fit: chi-square degree of freedom (χ2/df) = 2.019, root mean square error of approximation (RMSEA) = 0.072, standardized root mean square residual (SRMR) = 0.0145, Comparative Fit Index (CFI) = 0.983, and Tucker Lewis Index (TLI) = 0.978. The content validity index of the scale was 0.979. The Cronbach's alpha coefcient was 0.975, Omega coefcient was 0.964, the split-half reliability coefcient was 0.977, and the test-retest reliability was 0.959.

The Chinese FVIS showed satisfactory reliability and validity for assessing vitiligo's psychosocial impact on family membersin Chinese clinical and research settings.

Nurses have been at the forefront of the battle against the COVID-19 pandemic, facing extended work hours and heightened stress, predisposing them to psychological distress. This study aims to investigate the prevalence and correlates of severe anxiety among frontline nurses in China during and after the COVID-19 pandemic.

A large-scale multi-center survey was conducted from November to December 2022 and from April to July 2023. Data were collected using online surveys, covering demographic characteristics, job-related factors, anxiety, depression, and sleep disorders. Statistical analyses, including chi-square tests, t-tests, and logistic regression, were performed to assess the incidence and factors influencing severe anxiety.

The study included 816 nurses during the pandemic and 763 nurses after the pandemic. The prevalence of severe anxiety during the pandemic (52.3%) was significantly higher than after the pandemic (8.0%). Factors such as nursing title, night shift frequency, educational level, exercise frequency, COVID-19 infection status, economic pressure, and work pressure showed significant differences between the two periods. Binary logistic regression revealed associations between severe anxiety and factors such as night shift frequency, COVID-19 infection status, nursing title, depression, and sleep disorders. Receiver Operating Characteristic analysis demonstrated good predictive value for severe anxiety.

The study underscores the importance of understanding and addressing severe anxiety among frontline nurses during and after the COVID-19 pandemic. Future research should delve into long-term psychological effects and implement effective intervention measures to support nurses' mental health.

The COVID-19 pandemic has led to increased depressive symptoms and diminished sleep quality among nurses. This study explores the relationships among social support, sleep quality, and depressive symptoms among Chinese nurses during the COVID-19 outbreak, with a focus on the mediating role of sleep quality.

A cross-sectional study involving 2140 nurses was conducted from August to September 2022. The participants completed the Social Support Rating Scale, the Hospital Anxiety and Depression Scale, and the Pittsburgh Sleep Quality Index. The data were analyzed via serial multiple mediation analysis with the PROCESS macro in SPSS.

Depressive symptoms affected an estimated 40.4% of the participants, with 69.2% reporting poor sleep quality. The present study revealed a significant negative correlation between social support and sleep quality and depressive symptoms (r = -0.229, p < 0.001; r = -0.322, p < 0.001, respectively). Furthermore, a substantial positive correlation was observed between sleep quality and depressive symptoms (r = 0.514, p < 0.001). Additionally, social support had a significant indirect effect on depressive symptoms through sleep quality (standardized effect = -0.0535, 95% CI = [-0.0648, -0.0424]). Sleep quality was found to mediate the relationship between social support and depressive symptoms in all subgroups, with variations based on years of experience, education levels, and hospital type.

Depressive symptoms were inversely associated with social support, which was moderated by sleep quality. Interventions targeting social support provision and sleep quality promotion are suggested for managing depressive symptoms among nurses during the COVID-19 pandemic.

Cyberchondria is a hybrid term signifying a state in which individuals compulsively search for health-related information online because of health distress or anxiety, further aggravating their worries. This study develops a Cyberchondria Severity Scale (CSS) to assess the current situation of university students. Exploratory factor analysis (EFA) was conducted using 145 valid questionnaires. Subsequently, a nationwide survey was conducted at various universities in Taiwan, and 802 questionnaires were used for confirmatory factor analysis (CFA). The EFA led to the development of a CSS for college students with four constructs: increased anxiety (α = 0.91), obsessive-compulsive hypochondria (α = 0.87), perceived controllability (α = 0.88), and online physician-patient interaction (α = 0.86), with a Cronbach's alpha of 0.92 and variance of 66.81%. The CFA indicated that item reliability ranged from 0.50 to 0.86, factor loadings ranged from 0.71 to 0.93, and the composite reliability for latent variables ranged from 0.83 to 0.90 (p < .001). The extracted average variance ranged from 0.46 to 0.60. There were significant differences in various dimensions: perceived controllability had the highest score and obsessive-compulsive hypochondria had the lowest (F3,2403=256.26, p < .001). Therefore, CSS has emerged as a reliable and valid measure. Future studies should explore the factors that influence cyberchondria, promote online health information searches, and enhance reading comprehension skills.

While MOOC platforms allow universities to implement various strategies such as brand promotion and student recruitment, the alarmingly low retention rate suggests a need to explore the critical factors that influence students' course retention. So far, studies on MOOC platforms focus either on the students' individual factors (i.e., students' personal factors such as perceived value) or situational factors (i.e., external influences shaping students' behavior, such as system quality) for students' learning, thus lacking a complete view of those determinant factors. This study integrates the TAM model with the TRA model to analyze the roles of three important antecedents (learning goal orientation; LGO, instructor reputation; IR, & parasocial interaction; PI) on university students' perceived value (PU) and learning attitude (LA), two critical predictors of MOOC retention (CR). Using data from an online survey of 449 Chinese university students, the hypothesis model was tested using PLS. We found that LGO, IR, and PI each positively affect PU; LGO, IR, and PI each positively affect LA; PU and LA each positively influence course retention (CR), with each impact enhanced by tutor intervention (TI). The theoretical and practical implications of such findings are presented.

Traumatic experiences and stressful life events have crippling outcomes on individuals' psychiatric disorders and are also frequently comorbid with addictive behaviors. This study aims to propose a mediation model to examine the association between coronavirus disease-2019 (COVID-19)-related post-traumatic stress disorder (PTSD) and social media addiction (SMA) among university students, and the mediating role of fear of missing out (FoMO).

A cross-sectional study with 856 university students (mean age 19.2 years; 67.9% female) was conducted in China. The COVID-19-related PTSD scale, the FoMO scale, and the Bergen Social Media Addiction Scale were used, in addition to an online questionnaire addressing participants' sociodemographic information. Descriptive statistics and correlations were conducted with SPSS 21.0. The Structural Equation Model (SEM) with AMOS 21.0 was performed to assess the hypothesized mediation mode. The bootstrap with the 95% confidence interval (CI) was computed to test the significance of the mediating effect.

SEM demonstrated that COVID-19-related PTSD symptoms significantly and negatively influenced SMA (β=0.247, p<0.001), FoMO significantly and positively affected university students' SMA (β=0.341, p<0.001), and FoMO partially mediated the association between COVID-19-related PTSD symptoms and SMA. The mediation effect of FoMO was 0.176, with bootstrapping 95% CI=0.123, 0.235.

The main effects of COVID-19-related PTSD symptoms and FoMO on SMA among university students were identified, providing intervention strategies for mental health professionals on how to reduce the risk of SMA when confronting future traumatic events and public health crises.

The COVID-19 pandemic impacted college student learning both globally and nationally. Current literature points to decreases in social connectedness, adverse mental health outcomes, and decreased overall learning outcomes; however, there are limited findings from higher education institutions within the Bay Area, California. There are also limited studies that examine the COVID-19 impact among public health graduate students, especially to understand how the pandemic renewed their interest in the field. The purpose of this study was to investigate the effects of COVID-19 on graduate student learning experiences, social connectedness and mental health within the Master of Public Health program at San José State University in San Jose, California.

We employed a convergent mixed-methods design using a survey that quantitatively assessed student learning experiences through a retrospective pre-and post-design, and a semi-structured interview guide that qualitatively assessed student learning experiences and its relationship with mental health and social connectedness using a phenomenological design. Data were collected between September 2022 and June 2023 and analysis was performed using descriptive statistics and thematic analysis.

A total of 22 students completed the survey and four participated in follow-up semi-structured interviews. Of the 22, 12(54%) were among the 18-29-year age group, 9(41%) identified as Asian, 21(95%) identified as female, and 9(41%) identified as a first-generation college student. When comparing survey responses, the median change in learning experiences pre and during-pandemic were statistically significant across several areas such as student ability to stay organized (p < 0.0001), participate actively in class (p < 0.001), retain course material (p < 0.0001), collaborate with peers (p < 0.0001), and maintain a sense of connection with their cohort (p = 0.0001) and broader campus community (p < 0.0001). Semi-structured interviews further revealed the following six themes: (1) Consistent faculty support; (2) Sense of community; (3) Reduced social connectedness; (4) Impact on mental health; (5) Deeper public health understanding; and (6) Facilitators and barriers.

Educational practitioners are encouraged to offer hybrid academic programs and establish resource infrastructures that provide students with social and mental wellness support when transitioning to different learning modalities.

The coronavirus disease-2019 (COVID-19) pandemic has impaired the quality of life (QoL) for many due to its extensive impacts. However, few studies have addressed the specific impact of COVID-19 on the mental health of adolescents, particularly post-traumatic stress disorder (PTSD). This study considered the impact of COVID-19-related PTSD on the QoL of adolescents in China, the mediating effects of insomnia, and the moderating effects of resilience. Participants included 50,666 adolescents aged 12-18 years selected using a comprehensive sampling method. We performed data collection from January 8th to January 18th, 2023, using the Children's Revised Impact of Event Scale, Pittsburgh Sleep Quality Index, Ten-item Connor-Davidson Resilience Scale, and Screening for and Promotion of Health-related QoL in Children and Adolescents Questionnaire for data collection. Male adolescents exhibited significantly lower levels of PTSD and insomnia compared to females and scored significantly higher in psychological resilience and overall QoL. Insomnia played a mediating role between PTSD and QoL. Psychological resilience moderated the impact of COVID-19-related stress on adolescents' QoL through its influence on insomnia. PTSD resulting from the COVID-19 pandemic affects the QoL of adolescents through the presence of insomnia. Psychological resilience plays a moderating role in this process. Cultivating psychological resilience in adolescents can effectively enhance their ability to cope with the impacts of sudden public events.

The problems of students' social interaction and psychological well-being associated with online learning dependent on self-directed learning have become an important topic of research in recent years worldwide due to the COVID-19 pandemic, affecting their Social Emotional Learning. This paper aimed to compare the students' loneliness, social anxiety, social interaction, and general psychological well-being at different stages of online learning (at the beginning and the height of the pandemic), considering their criteria (presence/absence of a job and own family).

For this, the researchers conducted an electronic survey of students (n = 320) twice, in February and May 2020, using four questionnaires: UCLA loneliness scale-3, Social Anxiety Scale for E-Learning Environments, Social Interaction Scale, and Brief Adjustment Scale. The responses at different stages of online learning were compared using Student's t-test. Differences between employed and unemployed students with or without their own families were determined using the analysis of variance (ANOVA).

The findings showed that unemployed students without their families suffered the most from loneliness. Social interaction online was rated higher by students with their own families; psychological well-being at the beginning of the distance period and social anxiety at the height of the distance period were higher among unemployed students.

This research can become a theoretical basis for a phase-by-phase study of social predictors for the psychological well-being of higher education students and is of practical value for teachers and administrators of online learning aimed at students' socialization. In addition, it provides education officials with information about how students perceive psychological well-being, anxiety, social interaction, and loneliness during distance learning, which can help officials direct their decisions and reforms to improve interaction in the online environment.

Online Interaction is a critical characteristic of distance learning, and effective online communication models empower students.

This research aimed to explain students' experiences on the quality of interpersonal interactions in e-learning.

This study was conducted from November 2021 to October 2022. The qualitative descriptive design via conventional content analysis was utilized. Purposeful and maximum variation methods recruited sixteen participants from three medical science universities in Iran. The data were collected through semi-structured, in-depth, face-to-face, or online interviews. Interviews were recorded through a digital recorder, and analysis was achieved simultaneously with data collection using Graneheim and Lundman (2004). The Lincoln and Guba criteria, including credibility, dependability, transferability, and confirmability, were used to improve the trustworthiness of the findings.

The results indicated the importance of different dimensions related to teaching-learning. It seems crucial to develop a comfortable and safe environment to improve interpersonal interactions. Educators should be provided with pedagogical skills to support interactions. In addition, focusing on some learners' soft skills is also vital. In addition to the significance of the teacher's inclusive role, the educational content must have critical standards. Constructive feedback and the proper use of simultaneous and non-simultaneous communication tools and social networks are other important issues in strengthening interpersonal relationships. Ultimately, comprehensive and ongoing support of learners improves the quality of interpersonal interactions.

The results indicated the significance of different dimensions of teaching-learning as facilitating factors of interpersonal interactions. The proper use of simultaneous and non-simultaneous communication tools and social networks are other important issues in strengthening interpersonal relationships. Ultimately, comprehensive and ongoing support of learners improves the quality of interpersonal interactions.

The results of this study give teachers the insight to keep essential issues in mind when developing their online courses and students to be aware of their roles in the online learning process. Also, the characteristics of simultaneous and non-synchronous platforms, social messaging networks, and learner support are crucial.

A considerable number of individuals infected with COVID-19 experience residual symptoms after the acute phase. However, the correlation between residual symptoms and psychological distress and underlying mechanisms are scarcely studied. We aim to explore the association between residual symptoms of COVID-19 and psychological distress, specifically depression, anxiety, and fear of COVID-19, and examine the role of risk perception and intolerance of uncertainty in the association.

A cross-sectional survey was conducted by online questionnaire-based approach in mid-January 2023. Self-reported demographic characteristics, COVID-19-related information, and residual symptoms were collected. Depression, anxiety, fear, risk perception and intolerance of uncertainty were evaluated using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Fear of COVID-19 Scale (FCV-19S), COVID-19 Risk Perception Scale and Intolerance of Uncertainty Scale-12 (IUS-12), respectively. Linear regression analyses were conducted to explore the associations. A moderated mediation model was then constructed to examine the role of risk perception of COVID-19 and intolerance of uncertainty in the association between residual symptoms and psychological distress.

1735 participants effectively completed the survey. 34.9% of the patients experienced residual symptoms after acute phase of COVID-19. Psychological distress was markedly increased by COVID-19 infection, while residual symptoms had a significant impact on psychological distress (Ps < 0.001), including depression (β = 0.23), anxiety (β = 0.21), and fear of COVID-19 (β = 0.14). Risk perception served as a mediator between residual symptoms and all forms of psychological distress, while intolerance of uncertainty moderated the effect of risk perception on depression and anxiety.

A considerable proportion of patients experience residual symptoms after acute phase of COVID-19, which have a significant impact on psychological distress. Risk perception and intolerance of uncertainty play a moderated-mediation role in the association between residual symptoms and depression/anxiety. It highly suggests that effective treatment for residual symptoms, maintaining appropriate risk perception and improving intolerance of uncertainty are critical strategies to alleviate COVID-19 infection-associated psychological distress.

The coronavirus disease 2019 (COVID-19) epidemic disrupted education systems by forcing systems to shift to emergency online leaning. Online learning satisfaction affects academic achievement. Many factors affect online learning satisfaction. However there is little study focused on personal characteristics, mental status, and coping style when college students participated in emergency online courses.

To assess factors related to satisfaction with emergency online learning among college students in Hebei province during the COVID-19 pandemic.

We conducted a cross-sectional survey of 1600 college students. The collected information included demographics, psychological aspects of emergent public health events, and coping style. Single factor, correlation, and multiple linear regression analyses were performed to identify factors that affected online learning satisfaction.

Descriptive findings indicated that 62.9% (994/1580) of students were satisfied with online learning. Factors that had significant positive effects on online learning satisfaction were online learning at scheduled times, strong exercise intensity, good health, regular schedule, focusing on the epidemic less than one hour a day, and maintaining emotional stability. Positive coping styles were protective factors of online learning satisfaction. Risk factors for poor satisfaction were depression, neurasthenia, and negative coping style.

College students with different personal characteristics, mental status, and coping style exhibited different degrees of online learning satisfaction. Our findings provide reference for educators, psychologists, and school administrators to conduct health education intervention of college students during emergency online learning.

Even though the innovation of COVID-19 vaccination effectively protects against the virus, practicing preventative behaviors is still essential. However, public adherence to preventive behaviors relies mainly on the individuals' knowledge, attitudes, and practices (KAP) toward COVID-19 preventative behaviors. Therefore, it is crucial to evaluate these aspects. Nevertheless, there is no validated scale that assesses KAP toward COVID-19 preventative behaviors. To evaluate the psychometric properties of the Arabic version of knowledge, attitudes, and practices toward coronavirus disease 2019 (COVID-19) preventative behaviors.

A quantitative descriptive cross-sectional design was used to develop and evaluate the psychometric properties of KAP through specific stages: item development, face, content, convergent and construct validity evaluation, and internal consistency. Data were collected online through "google forms" from June 2020 to July 2020. Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to assess the construct validity.

A total of 1,363 participants completed the scale. The overall Cronbach's alpha was 0.83, indicating good internal consistency. Exploratory factor analysis supported structural validity for all the scale items with KMO 0.78, 0.60, and 0.81, respectively, and Bartlett's Test of Sphericity = (p < 0.05). Convergent validity was confirmed by a moderate correlation between the KAP scale items, knowledge ranging from r = 0.11 (p < 0.01) to r = 0.62 (p < 0.01), attitude ranging from r = 0.158 (p < 0.01) to r = 0.584 (p < 0.01), and practice ranging from r = 0.383 (p < 0.01) to r = 0.774 (p < 0.01).

The psychometric properties of the scale indicate that the KAP is a valid and reliable scale that can be utilized to evaluate the level of KAP toward COVID-19 preventative behaviors among the population in Saudi Arabia.

Gaming addiction is a compulsive mental health condition that can have severe negative consequences on a person's life. As online gaming has increased during the COVID-19 pandemic, studies have shown a heightened risk of mental health issues. This study aims to assess the prevalence of severe phobia and addiction to online gaming among Arab adolescents and identify risk factors associated with these disorders.

This cross-sectional study was conducted across 11 Arab nations. Participants were recruited using convenience sampling through an online survey distributed on social media platforms in 11 Arab countries. The survey included demographic questions, the Nine-item Internet Gaming Disorder Scale-Short Form (IGDS-SF9) to measure participants' online gaming addiction, the Social Phobia Scale (SPS), and questions assessing the impact of the COVID-19 pandemic on the prevalence of internet gaming addiction. The data were analyzed using SPSS win statistical package version 26.

Out of 2,458 participants, 2,237 were included in the sample due to non-response and missing data. The average age of the participants was 19.9 ± 4.8 years, and the majority were Egyptian and unmarried. 69% of the participants reported playing more than usual since the COVID-19 pandemic, as they were confined to their homes. Higher social phobia scores were associated with being single, male, and Egyptian. Participants from Egypt and those who felt that the pandemic significantly increased their gaming time had higher scores for online gaming addiction. Several major criteria, such as playing hours per day and beginning gaming at an early age, were associated with a higher level of online gaming addiction with social phobia.

The study's findings suggest that there is a high prevalence of internet gaming addiction among Arab adolescents and young adults who play online games. The results also indicate a significant association between social phobia and several sociodemographic factors, which may inform future interventions and treatments for individuals with gaming addiction and social phobia.

Young adults, particularly university students might be at greater risk of developing psychological distress, and exhibiting symptoms of anxiety and depression during the COVID-19 pandemic. The primary objective of this study was to explore and compare the determinants and predictors of mental health (anxiety and depression) during and after the COVID-19 lockdown among university students.

This was an observational, cross-sectional study with a sample size of 417 students. An online survey utilizing International Physical Activity Questionnaire-Short Form (IPAQ-SF), General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) was distributed to Universiti Tunku Abdul Rahman students via Google forms.

During lockdown, family income [χ2 (1, n = 124) = 5.155, p = 0.023], and physical activity (PA) [χ2 (1, n = 134) = 6.366, p = 0.012] were associated with anxiety, while depression was associated with gender [χ2 (1, n = 75) = 4.655, p = 0.031]. After lockdown, family income was associated with both anxiety [χ2 (1, n = 111) = 8.089, p = 0.004], and depression [χ2 (1, n = 115) = 9.305, p = 0.002]. During lockdown, family income (OR = 1.60, p = 0.018), and PA (OR = 0.59, p = 0.011) were predictors for anxiety, while gender (OR = 0.65, p = 0.046) was a predictor for depression. After lockdown, family income was a predictor for both anxiety (OR = 1.67, p = 0.011), and depression (OR = 1.70, p = 0.009).

Significant negative effects attributed to the COVID-19 lockdown, and certain factors predisposed to the worsening of mental health status in university students. Low family income, PA, and female gender were the major determinants and predictors linked to anxiety and depression.

This study aimed to elucidate the impact of media trust on epidemic prevention motivation and behaviors based on the Protection Motivation Theory (PMT) and to evaluate the moderation effect of personal epidemic experience, which focused on the differences in two groups with or without epidemic experience.

The exogenous constructs and PMT model and scale were constructed through literature analysis, and a web-based questionnaire survey was conducted among 428 individuals aged above 18 years in China. Statistical analysis and hypothesis testing were performed in SPSS 26 and SmartPLS 3.

Traditional media trust accounted for the largest weight in media trust (w = 0.492, p-value < 0.001), followed by social media (w = 0.463, p-value < 0.001), and interpersonal communication (w = 0.290, p-value < 0.001). Media trust was positively and significantly related to both threat appraisal (β = 0.210, p-value < 0.001) and coping appraisal (β = 0.260, p-value < 0.001). Threat appraisal (β = 0.105, p-value < 0.05) and coping appraisal (β = 0.545, p-value < 0.001) were positively and significantly related to epidemic prevention motivation, which positively and significantly related to epidemic prevention behaviors (β = 0.492, p-value < 0.001). The R² values of epidemic prevention motivation and behavior are 0.350 and 0.240, respectively, indicating an acceptable explanation. Multiple-group analysis revealed five significant differences in paths between the two groups, indicating personal epidemic experience acting as a slight moderator on these paths.

Traditional media trust and social media trust were the important elements in COVID-19 prevention and control, and public health departments and governments should ensure the accuracy and reliability of information from traditional and social media. Simultaneously, the media should balance threat information and efficacy information in order to generate the public's prevention motivation and behaviors.

Bullying has been identified as the most common form of aggression experienced by school-age youth. However, it is still unclear about the family's influence on school bullying. Therefore, the current study aimed to explore the associations between sibling bullying and school bullying, sibling victimization and school victimization, and parental acceptance-rejection and school bullying victimization. The study was cross-sectional and conducted on a sample of students aged between 11 and 20 years recruited from middle schools in Algeria. The study used a survey adopted from the scale of Sibling Bullying, Student Survey of Bullying Behavior-Revised 2, and the Survey of parental acceptance-rejection in collecting the data. The model's results assessing the association between sibling bullying and school bullying demonstrated that the effect of sibling physical and sibling verbal victims on school victimization was statistically significant. Despite the non-significant effect of sibling emotional victims on school victimization, the effect of sibling physical and sibling verbal bullying on school bullying was statistically significant. However, the effect of sibling emotional bullying on school bullying was not statistically significant. The direct effect of parental acceptance on school victimization was not statistically significant, whereas the effect of parental rejection on school victimization was statistically significant. The direct effect of parental acceptance on school bullying was not statistically significant, while the effect of parental rejection on school bullying was statistically significant. Based on the results, this study provides insights into the understanding of how the family and siblings contribute to school bullying. In particular, sibling victimization, sibling bullying, and parental acceptance-rejection are predictive factors of school bullying among adolescents. Future research should take into account factors based on family to explore the risks of school bullying.

Although the psychological impact of coronavirus disease 2019 (COVID-19) has been evaluated in the literature, further research is needed, particularly on post-traumatic stress disorder (PTSD) and psychological outcomes, is needed. This study aims to investigate the effect of the COVID-19 pandemic on psychological outcomes (depression, anxiety, and insomnia). A cross-sectional study using an online survey was conducted using the following instruments: Impact of Event Scale-Revised (IES-R), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder (GAD-7), and Insomnia Severity Index (ISI). Confirmatory factor analysis (CFA), structural equation model (SEM), multiple indicators and multiple causes (MIMIC) modeling, and differential item functioning (DIF) were performed to analyze the collected data. According to the results, participants with PTSD (n = 360) showed a higher level of depression, anxiety, and insomnia than those without PTSD (n = 639). Among the participants, 36.5% experienced moderate to severe symptoms of depression, and 32.6% had mild depressive symptoms. Moreover, 23.7% of participants experienced moderate to severe anxiety symptoms, and 33.1% had mild anxiety symptoms. In addition, 51.5% of participants experienced symptoms of insomnia. In conclusion, the PTSD caused by COVID-19 is significantly associated with depression, anxiety, and insomnia at the level of latent constructs and observed variables.

Several instruments are currently used to assess Coronavirus Disease 2019 (COVID-19) -induced psychological distress, including the 22-item Impact of Event Scale-Revised (IES-R). The IES-R is a self-administered scale used to assess post-traumatic stress disorder (PTSD). The current study aimed to examine the construct validity of the IES-R, based on the Rasch model, with COVID-19-related data, as well as to test the multilevel construct validity of the IES-R within and among countries during the pandemic crisis.

A multi-country web-based cross-sectional survey was conducted utilizing the 22-item IES-R. A total of 1020 participants enrolled in our survey, of whom 999 were included in the analyses. Data were analyzed using Rasch modeling and multilevel confirmatory factor analysis (MCFA).

The Rasch modeling results of the IES-R demonstrated that the IES-R is a satisfactory instrument with the five-point Likert scale, asserting that its 22 items are significant contributors to assessing PTSD as a unidimensional construct covered by the items of the IES-R. The MCFA confirmed that the 22-item IES-R, with its three factors, including intrusion, avoidance, and hyperarousal, demonstrates adequate construct validity at the within- and among-country levels. However, the results of the Akaike information criterion (AIC) model determined that the 16-item IES-R is better than the 22-item IES-R.

The results suggested that the 22-item IES-R is a reliable screening instrument for measuring PTSD related to the COVID-19 pandemic, and can be utilized to provide timely psychological health support, when needed, based on the screening results.