Adverse childhood experiences exacerbate the association between day-to-day discrimination and mental health symptomatology in undergraduate students

Prevalence and associated factors of adverse childhood experiences (ACE) in a sample of Brazilian university students

BACKGROUND

Adverse childhood experiences (ACEs) have long been associated with health risk behaviors, but they are poorly studied in Brazilian university students.

OBJECTIVE

To estimate the prevalence of ACEs and investigate their association with sociodemographic data, health risk factors and self-related health in a sample of university students.

PARTICIPANTS AND SETTING

A cross-sectional study conducted with 546 students from a Brazilian public university.

METHOD

The self-reported 10-ACE Study questionnaire (ACE-Q) and sociodemographic information (age, sex, family income), health risk factors (body mass index, physical exercise, alcohol and tobacco use) and self-related health were assessed. Chi-square Test and multivariate logistic regression were used to evaluate the association between the cumulative occurrence of ACE (ACE ≥4) and the studied factors.

RESULTS

Of the 546 participants, 464 responded to all ACE-Q questions; 74.4% reported at least one ACE, and 13.1 % reported four or more. Lower family income (OR = 2.02; 95%CI = 1.13-3.61; p = 0.01) and self-related poor health (OR = 2.29; 95%CI = 1.28-4.08; p = 0.00) were associated with the occurrence of ACE ≥4.

CONCLUSION

Most students reported at least one ACE, while a minority reported ≥4 ACEs associated with lower family income and poor self-health. The data suggest that preventive actions should be considered to mitigate the problem, with lower-income students being treated as a priority.

Mediational pathways exploring the link between adverse childhood experiences and physical health in a transgender population

BACKGROUND

Adverse childhood experiences (ACEs) consist of instances of abuse, neglect, or household dysfunction occurring before adulthood. Prevalence rates of ACEs are higher among specific populations, including gender minorities. In addition to ACEs, transgender individuals (TG) face many personal, social, and structural factors that have the potential to negatively impact their physical health.

OBJECTIVE

This study examines exploratory mediational pathways between ACEs and two health outcomes (i.e., general health and days physically ill) in TG. Mediators include everyday discrimination, social support, gender non-affirmation, and mental distress.

METHODS

Cross-sectional data from the U.S. Transgender Population Health Survey (TransPop) was used to conduct a serial/parallel mediation analysis. The TransPop survey included a total of 274 TG.

RESULTS

For both outcome variables, the same three indirect pathways were significant. First, ACEs were associated with increased mental distress, which was associated with a decrease in general health and an increase in days physically ill. Second, ACEs were associated with increased discrimination, which was associated with increased mental distress, and this was associated with a decrease in general health and an increase in days physically ill. Finally, ACEs were associated with discrimination, which was associated with increased gender non-affirmation which was associated with increased mental distress, and this was associated with a decrease in general health and an increase in days physically ill.

CONCLUSION

Interventions focused on reducing discrimination, gender non-affirmation, and poor mental health may be vital to improving the health of TG and to mitigating the indirect role of ACEs on TG health.

Anxiety and Depression Symptoms among Youth Survivors of Childhood Sexual Abuse: A Network Analysis

BACKGROUND

Previous studies have frequently reported a high prevalence of co-occurring anxiety and depression among people who experienced stressful events in childhood. However, few have noted the symptomatic relationship of this comorbidity among childhood sexual abuse (CSA) survivors. Therefore, this study's objectives were as follows: (1) to examine the relationship across symptoms between anxiety and depression among CSA survivors; (2) to compare differences between male and female network structures among CSA survivors.

METHODS

A total of 63 Universities and Colleges in Jilin Province, China, covered 96,218 participants in this study, a sub-set data of which met the criteria of CSA was analyzed with the network analysis. The Childhood Trauma Questionnaire-Short Form (CTQ-SF), measured CSA. Anxiety was measured by the seven-item Generalized Anxiety Disorder Scale (GAD-7), and depression was measured by the Patient Health Questionnaire (PHQ-9). The sex difference between anxiety and depression among CSA survivors was compared.

RESULTS

3,479 college students reported the experience of CSA (CTQ-SF total scores ≥ 8), with a prevalence of 3.62% (95% CI: 3.50-3.73%). Among CSA survivors, control worry, sad mood, and energy were central and bridge symptoms of the anxiety and depression network. Meanwhile, male CSA survivors appeared to have a stronger correlation between guilt and suicide, but female CSA survivors seemed to have a stronger correlation between control worry and suicide. Moreover, the edge of control worry-relax-afraid was stronger in the male network, while the edge of restless-relax was stronger in the female network.

CONCLUSION

Control worry, sad mood, and energy are crucial to offer targeted treatment and to relieve anxiety and depression symptoms for CSA survivors. Guilt needs more attention for male CSA survivors, while control worry remains more important for female CSA survivors to reduce suicidal ideation and suicide attempts.

The role of discrimination and adverse childhood experiences in disordered eating

BACKGROUND

In clinical research, there has been a call to move beyond individual psychosocial factors towards identifying cultural and social factors that inform mental health. Similar calls have been made in the eating disorders (ED) field underscoring the need to understand larger sociocultural influences on EDs. Discrimination is a social stressor that may influence mental health in similar ways to traumatic or adverse childhood experiences (ACEs). Given the high rates of EDs and discrimination among marginalized groups, it is vital to understand the role of discrimination and ACEs as predictors of ED symptoms in these populations. The aim of this study is to examine how perceived discrimination predicts ED pathology when statistically adjusting for gender, race, and ACEs.

METHODS

The diverse study sample consisted of 331 undergraduate students from a longitudinal cohort study (ages 18-24; 66% female; 35% White/non-Hispanic). Participants completed measures of everyday discrimination, ACEs, and ED pathology.

RESULTS

Following adjustment for multiple statistical comparisons, the frequency of daily discrimination predicted all ED symptoms above and beyond history of ACEs. In follow-up analyses, number of reasons for discrimination predicted cognitive restraint and purging. Differences in ED symptomatology were found based on the reason for discrimination, gender, and race. Specifically, those who experienced weight discrimination endorsed higher scores on all ED symptoms, and those experiencing gender discrimination endorsed higher body dissatisfaction, cognitive restraint, and restriction. People of color endorsed higher restriction, while female participants endorsed higher scores on all ED symptom with the exception of cognitive restraint.

CONCLUSION

Discrimination is a salient risk factor for ED symptoms even when accounting for individuals' history of ACEs. Future research should utilize an intersectional approach to examine how perceived discrimination affects ED pathology over time. (Word count: 234).

The Mining Method of Ideological and Political Elements in University Public Mental Health Courses Based on Artificial Intelligence Technology

Artificial intelligence technology has become an important part of the development of Internet technology. Artificial intelligence technology can help colleges and universities optimize the network ideological and political teaching system. Artificial intelligence technology provides more accurate data resources and rich and reliable educational technology means for online public mental health education in colleges and universities. This paper comprehensively uses a variety of methods such as qualitative and quantitative analysis, case and empirical analysis, literature analysis, and artificial intelligence technology. Artificial intelligence technology has been closely integrated with online public mental health education in colleges and universities. The model systematically analyzes the optimization methods of artificial intelligence technology methods for the online public mental health education system in colleges and universities, and constructs an innovation system for online public mental health education in colleges and universities. Based on the comprehensive analysis of artificial intelligence and public health in colleges and universities, this paper further proposes the application of artificial intelligence technology in online public mental health education in colleges and universities. On this basis, the model conducts an in-depth analysis of artificial intelligence technology and the online public mental health innovation system. The model supports the development of ideological and political teaching in colleges and universities through various forms such as idea innovation, path innovation, carrier innovation, and mechanism innovation.

Patterns of adverse childhood experiences and depressive symptom trajectories in young adults: A longitudinal study of college students in China

BACKGROUND

Adverse childhood experiences (ACEs) tend to cluster together in daily life, and most studies focus on the level of depression at certain points, but the dynamic process of depression is often neglected. Thus, research is urgently needed to explore the relationship between ACEs pattern and trajectory of depressive symptom levels at multiple time points in order to provides early targeted interventions to those who are most at risk.

OBJECTIVE

We aimed to explore patterns of ACEs, including types and timing, associated with depression trajectories in college students.

METHODS

A school-based health survey was used to collect data as part of a longitudinal study in two medical college in Anhui province, China. Questionnaires were issued to 3,662 participants aged 17-22 and recorded details of ACEs (types and timing) and depression. Latent class analysis (LCA) was used to identify "patterns" of ACEs type and timing. Depressive symptom trajectories employed latent class growth analysis (LCGA). Multiple logistic regressions were employed to evaluate the relationships between ACEs patterns and depressive symptom trajectories.

RESULTS

We identified five ACEs patterns: "High neglect/emotional abuse/community violence," "High neglect/emotional abuse," "High neglect/family dysfunction," "High neglect," "Low ACEs." We traced three depression trajectories: "High depressive symptom" "Moderate depressive symptom," "Low depressive symptom." "High neglect/emotional abuse/community violence," "High neglect/emotional abuse" and "High neglect/family dysfunction" demonstrated a high risk for "High depressive symptom" and "Moderate depressive symptom." "High neglect" showed a high risk for "Moderate depressive symptom" but not for "High depressive symptom" (P < 0.05).

CONCLUSIONS

The findings address the need for a comprehensive consideration of exposure to childhood adversity associated with the risk of depression in young adults through identifying more problematic ACEs patterns amongst exposed children.