The Impact of Event Scale – Revised: Examining its cutoff scores among Arab psychiatric patients and healthy adults within the context of COVID-19 as a collective traumatic event (preprint)

The Impact of Event Scale-Revised (IES-R) is the most popular measure of post-traumatic stress disorder (PTSD), which has been recently validated in Arabic. This instrumental study aimed to determine optimal cutoff scores of the IES-R and its subscales in Arab samples of psychiatric patients (N = 168, 70.8% females) and healthy adults (N = 992, 62.7% females) from Saudi Arabia during the COVID-19 pandemic as an ongoing collective traumatic event. Based on a cutoff score of 14 of the Depression Anxiety Stress Scale 8-items (DASS-8), receiver operator curve (ROC) analysis revealed two optimal points of 39.5 and 30.5 for the IES-R in the samples (area under the curve (AUC) = 0.86 & 0.91, p values = 0.001, 95% CI: 0.80-0.92 & 0.87 to 0.94, sensitivity = 0.85 & 0.87, specificity = 0.73 & 0.83, Youden index = 0.58 & 0.70, respectively). Different cutoffs were detected for the six subscales of the IES-R, with numbing and avoidance expressing the lowest predictivity for distress. Meanwhile, hyperarousal followed by the irritability expressed stronger predictive capacity for distress than all subscales in both samples. In path analysis, pandemic-related irritability resulted from direct and indirect effects of key PTSD symptoms (intrusion, hyperarousal, and numbing). Irritability contributed to traumatic symptoms of sleep disturbance in both samples while the opposite was not true. The findings suggest usefulness of the IES-R at a score of 30.5 for detecting adults prone to trauma related distress, with higher scores needed for screening in psychiatric patients. Various PTSD symptoms may induce dysphoric mood, which represents a considerable burden that may induce circadian misalignment and more noxious psychiatric problems/ co-morbidities (sleep disturbance) in both healthy and diseased groups.

Prevalence of anxiety and depression among Palestinian university students: a cross-sectional study during COVID-19 pandemic

Background Anxiety and depression are more common among university students than in the general population. It is reported internationally that the COVID-19 pandemic increased the prevalence of anxiety and depression among students. This study aimed to measure the prevalence of anxiety and depression among university students in Palestine and to explore the association between anxiety and depression during the COVID-19 pandemic. A cross-sectional questionnaire-based descriptive study was carried out on university students. The Generalized Anxiety Disorder Scale (GAD-7) and the Center for Epidemiological Studies Depression (CES-D) scale were used to evaluate anxiety and depression, respectively. Chi-square was used to evaluate the risk factors associated with the levels of anxiety and depression. The association between anxiety and depression was evaluated using Pearson correlation. Results A total of 1049 students were enrolled in the study. The prevalence of depression among them was 55.8%, 26.4%, and 9.8% for severe, moderate, and mild depression, respectively. Depression symptoms were significantly variable based on students’ field and year of study, sleeping period, smoking, and food source. The prevalence of anxiety was 16.1%, 30.7%, and 36.1% for severe, moderate, and mild anxiety, respectively. Anxiety symptoms were significantly variable based on students’ gender, year of study, sleeping period, smoking, and place of residence. A strong positive correlation was observed between the CES-D and GAD-7 scores (R = 0.707). Conclusion Palestinian university students suffer from elevated levels of anxiety and depression during the COVID-19 pandemic. This necessitates the need for strategies by stakeholders to take immediate and appropriate interventions.

The Nine-Item Internet Gaming Disorder Scale (IGDS9-SF): Its Psychometric Properties Among Sri Lankan Students and Measurement Invariance Across Sri Lanka, Turkey, Australia, and the USA (preprint)

The prevalence of internet gaming disorders (IGD) is considerably high among youth, especially with social isolation imposed by the ongoing COVID-19 pandemic. IGD adversely affects mental health, quality of life, and academic performance. The Internet Gaming Disorder Scale (IGDS9-SF) is designed to detect IGD according to DSM-IV diagnostic criteria. However, inconsistent results are reported on its capacity to diagnose IGD evenly across different cultures. To ensure the suitability of the IGDS9-SF as a global measure of IGD, this study examined the psychometric properties of the IGDS9-SF in a sample of Sri Lankan university students (N = 322, mean age =17.2 ± 0.6, range = 16-18 years, 56.5% males) and evaluated its measurement invariance across samples from Sri Lanka, Turkey, Australia, and the USA. Among Sri Lankan students, a unidimensional structure expressed good fit, invariance across different groups (e.g., gender, ethnicity, and income), adequate criterion validity (strong correlation with motives of internet gaming, daily gaming duration, and sleep quality), and good reliability (alpha = 0.81). Males and online multiplayers expressed higher IGD levels, greater time spent gaming, and more endorsement of gaming motives (e.g., Social and Coping) than females and offline players. Across countries, the IGDS9-SF was invariant at the configural, metric, and scalar levels, albeit strict invariance was not maintained. The lowest and highest IGD levels were reported among Turkish and American respondents, respectively. In conclusion, the IGDS9-SF can be reliably used to measure IGD among Sri Lankan youth. Because the scale holds scalar invariance across countries, its scores can be used to compare IGD levels in the studied countries.