Perceived discrimination and relative deprivation in Chinese migrant adolescents: the mediating effect of locus of control and moderating effect of duration since migration

Background Associations between perceived discrimination and relative deprivation have been observed among both general and migrant populations. However, it is unclear how, and under what conditions, perceived discrimination relates to relative deprivation, a subjective cognition and affective experience in which individuals or groups perceive themselves as disadvantaged, compared to their peers. Therefore, this study aimed to construct a moderated mediation model to examine the roles of locus of control and duration since migration in the relationship between perceived discrimination and relative deprivation among Chinese rural-to-urban migrant adolescents. Methods We conducted a cross-sectional study using a convenience sampling method in three coastal cities in southeast China. We recruited 625 Chinese rural-to-urban migrant adolescents, who completed a battery of questionnaires assessing perceived discrimination, relative deprivation, locus of control, and demographic variables. Regression-based statistical mediation and moderation were conducted using the PROCESS macro for SPSS. Results After controlling for sex and age, perceived discrimination was positively associated with migrant adolescents’ relative deprivation, and external locus of control partially mediated this connection. Furthermore, the mediating effect was moderated by the duration of the migration. In relatively recently migrated adolescents, perceived discrimination was significantly related to relative deprivation through a greater external locus of control; however, this indirect association was not significant for adolescents with long-term migratory duration. Conclusion The results of our analysis expand our understanding of the link between perceived discrimination and relative deprivation. Moreover, these findings may provide practical guidance for interventions among Chinese rural-to-urban migrant adolescents to raise their social status and improve their mental health by addressing the macro-social psychological causes of relative deprivation.

Perceived Discrimination and Students’ Behavioural Changes: The Role of Cultural Background and Societal Influence

Discrimination among students in educational institutes is one of the key reasons for their behavioural changes. Research has increasingly recognized the discriminating behaviour of teachers, but the impact of perceived discrimination by teachers on students’ behavioural changes has not been investigated enough. Applying a theoretical model based on Phenomenological Variant of Ecological Systems Theory (PVEST), the present study aimed to investigate the manner in which students’ behavioural changes were determined by their teachers’ perceived discrimination, after knowing family background and how this relationship was moderated by societal influence and cultural background. A sample survey of 215 class 8 to class 10 students studying in rural and urban schools located in Krishnagiri district in Tamil Nadu, India was administered through questionnaires and partial least squares-structural equation modeling (PLS-SEM) was used to evaluate the gathered data. Overall, perceived teacher discrimination of students based on their caste, creed, and financial background significantly influenced students behaviour. The association between students’ behavioural changes and perceived discrimination was significantly influenced by cultural background. However, societal influence did not significantly change the effect of perceived students’ discrimination on their behavioural changes.

A Machine Learning Approach to Identify Predictors of Frequent Vaping and Vulnerable Californian Youth Subgroups

Introduction Machine learning presents a unique opportunity to improve electronic cigarette (vaping) monitoring in youth. Here we built a random forest model to predict frequent vaping status among Californian youth and to identify contributing factors and vulnerable populations. Methods In this prospective cohort study, 1,281 ever-vaping twelfth-grade students from metropolitan Los Angeles were surveyed in Fall and in 6-month in Spring. Frequent vaping was measured at the 6-month follow-up as nicotine-containing vaping on 20 or more days in past 30 days. Predictors (n=131) encompassed sociodemographic characteristics, substance use and perceptions, health status, and characteristics of the household, school and neighborhood. A random forest was developed to identify the top ten predictors of frequent vaping and interactions by sociodemographic variables. Results Forty participants (3.1%) reported frequent vaping at the follow-up. The random forest outperformed a logistic regression model in prediction (C-Index=0.87 vs. 0.77). Higher past-month nicotine concentration in vape, more daily vaping sessions, and greater nicotine dependence were the top three of the ten most important predictors of frequent vaping. Interactions were found between age and perceived discrimination, and between age and race/ethnicity, as those who were younger than their classmates and either reported experiencing discrimination frequently or identified as Asian or Native American/Pacific Islander were at increased risk of becoming frequent vapers. Conclusions Machine learning can produce models that accurately predict progression of vaping behaviours among youth. The potential association between frequent vaping and perceived discrimination warrants more in-depth analyses to confirm if discrimination constitutes a cause of increased vaping.

Effect of perceived discrimination on depression and suicidal ideation during the COVID-19 pandemic: a large-scale, repeated-measures study in the All of Us Research Program

ObjectiveThe COVID-19 pandemic has coincided with an increase in depressive symptoms as well as a growing awareness of health disparities and discrimination against racial and ethnic minority communities in the United States. Here, we examine the mental health impact of perceived discrimination during the pandemic in a large and diverse cohort of the All of Us Research Program.MethodsUsing repeated assessments of 62,651 participants in May to July of 2020, we fitted mixed-effects models to assess the effect of perceived discrimination on moderate to severe depression (Patient Health Questionnaire (PHQ)-9 ≥ 10) and suicidal ideation (PHQ-9 item 9 > 0), and applied inverse probability weights to account for non-random probabilities of completing the voluntary survey.ResultsPerceived discrimination was associated with an increased odds of depression (adjusted odds ratio (aOR) [95% CI]: 1.21 [1.20 -1.22]) and suicidal ideation (1.17 [1.16-1.18]). For depression, the effects were larger in earlier phases of the pandemic (interaction p=8.2×10−5), which varied by main reason for discrimination and self-reported race. Among those who identified race or ancestry as a primary reason for discrimination, Asian and Black participants had 24% and 17% increase in the odds of depression in May of 2020 (1.24 [1.17-1.31] and 1.17 [1.12-1.22]), respectively, versus a 3% and 7% increase in July (1.03 [0.96-1.10] and 1.07 [1.02-1.12]).ConclusionIn this large and diverse sample, increased levels of perceived discrimination were associated with higher odds of depression, particularly during the early phase of the pandemic among participants self-identifying as Asian or Black.