Background. Chronic pruritus is a common and distressing condition that has serious emotional and psychosocial consequences. Due to its subjective nature, self‐report questionnaires are widely implemented as cost‐effective measures to gauge the severity of chronic pruritus. The current study is aimed at validating the 5‐D itch scale in three ethnic groups—Black, Asian, and Hispanic—with the well‐validated Itch Numerical Rating Scale (NRS) and Worst Itch NRS (WI‐NRS) and developing its cutoff value using receiver operating characteristics (ROC) and inspection of the area under the curve (AUC) across ethnic groups. At the same time, it is aimed at comparing the concurrent prevalence of itch and depression in these populations, who often form ethnic minorities in many countries. The current study addresses the knowledge gap of cultural adaptation of the 5‐D pruritus scale for greater usage. Methods. Community samples of three ethnic groups were recruited from an online platform of Qualtrics and administered the self‐report questionnaires of Itch‐NRS, 5‐D itch scale, and Patient Health Questionnaire‐9 (PHQ‐9) to measure their pruritus domains, itch intensity, depression screening, and its severity. Informed consent was obtained from all participants. Subgroup analysis was conducted, including concurrent validity and cutoff values compared between each ethnic group. Concurrent prevalence of itch and depression was evaluated using the cutoff value of Itch‐NRS and PHQ‐9. Result. A total of 2323 participants were included in the study. A significant positive correlation (p < 0.001) was found between the Itch‐NRS, WI‐NRS, and 5‐D itch scale. The cutoff value of the 5‐D itch scale was established for the three ethnic groups using ROC, with a cutoff value of Itch‐NRS as a reference. Conclusions. The 5‐D itch scale has demonstrated sound psychometric properties in three ethnic groups and is closely related to Itch‐NRS. The analysis of the cutoff value of the 5‐D itch scale suggests that different cutoff values should be considered to reduce the inflation of pruritus severity.

Pregnancy involves physiological changes in reproductive and endocrine systems, and social role changes that can increase the risk of mental health problems. In China, greater emphasis has been given to postpartum depression and its negative impact on infant development. This study examined depression in pregnant women in Inner Mongolia, who are under the influence of cultural values of collectivism and social factors specific to China. Chinese society adheres firmly to traditional values, while market reform, birth-control policy, together with high parental investment in childcare and rearing construct a unique and sometimes unfavorable environment for Chinese women that may influence their depression expression. First, it validated the Chinese Multidimensional Depression Assessment Scale (MDAS), a holistic self-report questionnaire measuring depression severity in four domains of depression-emotional, somatic, cognitive and interpersonal in pregnant women in Inner Mongolia; second, it examined the influences of demographic characteristics (including age, education and employment), pregnancy characteristics (week of gestation, first pregnancy), self-esteem, social support, social activity, work stress, and work-family balance on depression. A total of 234 pregnant women, mostly in their third trimester, were recruited in an antenatal hospital in Inner Mongolia and self-reported questionnaires were completed. Using Confirmatory factor analysis (CFA), MDAS gave rise to a best-fit four-factor model corresponding to each subscale when it was first developed. MDAS also reported high Cronbach’s alpha (0.96) and good convergent validity. Using hierarchical multiple linear regressions with significant demographic variables controlled for, self-esteem, work-family conflict, and social support were found to be significant predictors for depression. MDAS is a valid scale to be used with Chinese pregnant women, especially in more collectivistic geographical areas. Risk factors specific to the Chinese context add insights to the experience of antenatal depression in China and contribute to understanding depression in from a global mental health perspective.

Who will turn to chatbots for emotional disclosure? This research contributes to ongoing scientific efforts to understand chatbot usage behaviors among adolescents. Specifically, we examined the relationships between self-disclosure to chatbots and levels of self-compassion and existential meaninglessness, as well as whether gender and culture moderate these preferences. A cross-cultural survey study was conducted to pursue this goal. A total sample of 2272 adolescents (M age = 15.53 years) from the United States and Hong Kong was collected. A major finding was that the preference for self-disclosure with chatbots was positively correlated with levels of self-compassion and negatively correlated with levels of existential meaninglessness. These correlations were moderated by gender and culture. The results also indicated that adolescents who exclusively self-disclose to chatbots may experience a higher level of existential meaninglessness. These new findings present opportunities for future studies that will enhance our understanding of the relationship among self-disclosure to chatbots, self-compassion and existential meaninglessness.

Background: Major Depressive Disorder (MDD) poses a significant global health challenge, with symptom presentation potentially varying between adolescents and adults. Adolescence is a critical period marked by heightened vulnerability to interpersonal stresses, yet the impact of these stresses on the structure of depressive symptoms is not well understood. Recognizing the cultural nuances in how depression manifests among adolescents is crucial. To this end, this paper employs a network analysis approach, utilizing a comprehensive symptom checklist from the Multidimensional Depression Assessment Scale (MDAS). Our study investigates the role of interpersonal symptoms within the broader cluster of emotional, cognitive, and somatic symptoms and explores variations in adolescent groups in four Asian and European regions. Methods: We recruited a diverse sample of 6,348 adolescents aged 12 to 18 from Hong Kong, Taiwan, the UK, China, and the Netherlands using the Qualtrics platform. Employing the Gaussian Graphical Model, we established a network model of depressive symptoms as measured by the MDAS, segregating the sample into Asian and European regions to examine the interconnections between them. The study focused on identifying central symptom nodes and comparing the network structures between the two groups. Results: The analysis identified feeling worthless, low energy, being a burden to others, and low mood as central symptoms of depression. Notably, there were significant differences in the connections between depressive symptoms among Asian (Hong Kong, China and Taiwan) and European (UK and the Netherlands) adolescents, highlighting cultural variations in how interpersonal symptoms interact with emotional, cognitive, and somatic symptoms. Conclusion: This study is pioneering in applying network analysis to include interpersonal symptoms in examining depression among a diverse adolescent population. It demonstrates that interpersonal symptoms are integral to the central features of depressive symptoms. Furthermore, our findings suggest that, compared to their UK and Dutch peers, interpersonal symptoms in Asian adolescents are uniquely connected to other symptom clusters, reflecting distinct cultural patterns. Limitations: The study engaged a broad community sample; however, future research could benefit from including a larger sample size to allow for a more detailed analysis of a greater number of symptom nodes.