Predictors Of Mental Health Symptoms Research Articles

Covid 19’s Social Quarantine-Moderated Self-Reported Mental Health and Substance Use Among US Adults

In 2019 the novel coronavirus spread quickly throughout the world. It was easily transmitted, resulting in a sudden increase in infection and death rates that overwhelmed hospitals. This sudden pandemic resulted in government and health officials mandating physical and social quarantines to decrease the spread of COVID-19. All these unexpected factors induced traumatic stress across the world. The impact of this trauma is seen to date, as many studies reported adverse mental health effects in an array of populations and researchers speculate these effects will continue long after COVID-19. The role of social quarantine as a moderating factor to these adverse mental health symptoms was assessed in a Qualtrics sample of 596 US adults. Participants completed a demographic survey, Adverse Childhood Experiences (ACEs) Questionnaire, COVID-19 Pandemic Mental Health Questionnaire, Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale-7, International Trauma Questionnaire, Brief Resiliency Scale, and the Tobacco, Alcohol, Prescription Medication and Other Substances Tool. Hierarchical regressions with demographic and risk factors as predictors assessed the role of social quarantine as a moderator in predicting mental health symptoms. ACEs and risk factors were stronger predictors of mental health symptoms, but social quarantine added significant incremental variance in self-reported anxiety, depression, PTSD, complex PTSD, and substance use; β<em> </em>ranged for 0.24 to 0.30. Quarantine had a significant adverse impact on mental health symptoms among these adults. Fostering resilience and distress tolerance is a proposed clinical intervention.

Daily life affective dynamics as transdiagnostic predictors of mental health symptoms: An ecological momentary assessment study

BackgroundAffective dynamics have been identified as a correlate of a broad span of mental health issues, making them key candidate transdiagnostic factors. However, there remains a lack of knowledge about which aspects of affective dynamics – especially as they manifest in the course of daily life – relate to a general risk for mental health issues versus specific symptoms. MethodsWe leverage an ecological momentary assessment (EMA) study design with four measures per day over a two-week period to explore how negative affect levels, inertia, lability, and reactivity to provocation and stress in the course of daily life relate to mental health symptoms in young adults (n = 256) in the domains of anxiety, depression, psychosis-like symptoms, behaviour problems, suicidality, and substance use. ResultsDynamic structural equation modelling (DSEM) suggested that negative affect levels in daily life were associated with depression, anxiety, indirect and proactive aggression, psychosis, anxiety, and self-injury; negative affective lability was associated with depression, physical aggression, reactive aggression, suicidal ideation, and ADHD symptoms; negative affective inertia was associated with depression, anxiety, physical aggression, and cannabis use; and emotional reactivity to provocation was related to physical aggression. LimitationsThe cross-sectional design, the limited span of mental health issues included, and the convenience nature and small size of the sample are limitations. ConclusionsFindings suggest that a subset of mental health symptoms have shared negative affective dynamics patterns. Longitudinal research is needed to rigorously examine the directionality of the effects underlying the association between affective dynamics and mental health issues.

Depression, anxiety, and poor well-being at discharge from psychiatric hospitals: prevalence and risk factors.

Being ready for discharge is vital to successful hospital-to-home transitions. For many patients, however, the transition from psychiatric hospital care to outpatient care can be challenging. An in-depth understanding of the mental health conditions of patients at discharge is crucial and instructive for recovery research. The purpose of this study was to determine the prevalence and risk factors of depression, anxiety, and poor well-being symptoms among patients who are about to be discharged from psychiatric units in Alberta, Canada. Our aim was to help determine the prevalence of anxiety, depression, and overall well-being among the general psychiatric inpatient population in Alberta before discharge and the potential factors which may influence this. This epidemiological study used a cross-sectional quantitative survey from March 8, 2022, to November 5, 2023, to assess depression, anxiety, and well-being. Participants were invited to complete an online questionnaire that contained demographics, clinical information, and responses to the PHQ-9, GAD-7, and WHO-5 questionnaires. SPSS version 25 was used to analyze the data. Descriptive, univariate, and multivariate regression analyses were employed. The study found that the prevalence of likely depression, anxiety, and poor well-being among patients about to be discharged was 37.1%, 56.4%, and 48.3%, respectively. Based on a logistic regression model, there was a statistically significant association between anxiety, depression, and poor well-being diagnoses and multiple socio-demographic and clinical factors such as ethnicity, primary mental health diagnoses, education level, housing status, depression, anxiety, and well-being at baseline. Mental health assessment at discharge is a critical step in the recovery and transition of care. There is still a need for further research to identify the underlying causes and robust predictors of mental health symptoms in patients about to be discharged and to provide appropriate interventions and supportive resources both before and following discharge. Future research utilizing these findings may help identify key opportunities to improve outcomes for patients after discharge.

Evaluating the mental health status, help-seeking behaviors, and coping strategies of Canadian essential workers versus non-essential workers during COVID-19: a longitudinal study

ABSTRACT Objective This study examined mental health symptoms, help-seeking, and coping differences between Canadian essential workers (EWs) versus non-EWs, as well as common COVID-related concerns and longitudinal predictors of mental health symptoms among EWs only. Design An online, longitudinal survey (N = 1260; response rate (RR) = 78.5%) assessing mental health and psychosocial domains amongst Canadian adults was administered during the first wave of COVID-19 with a six-month follow-up (N = 821; RR = 53.7%). Methods Cross tabulations and chi-square analyses examined sociodemographic, mental health, and coping differences between EWs and non-EWs. Frequencies evaluated common COVID-related concerns. Linear regression analyses examined associations between baseline measures with mental health symptoms six months later amongst EWs. Results EWs reported fewer mental health symptoms and avoidance coping than non-EWs, and were most concerned with transmitting COVID-19. Both groups reported similar patterns of help-seeking. Longitudinal correlates of anxiety and perceived stress symptoms among EWs included age, marital status, household income, accessing a psychologist, avoidant coping, and higher COVID-19-related distress. Conclusions COVID-19 has had a substantial impact on the mental health of Canadian EWs. This research identifies which EWs are at greater risk of developing mental disorders, and may further guide the development of pandemic-related interventions for these workers.

Predictors of Adults’ Mental Health During Initial Stage of Covid-19 Pandemic in Croatia

Besides causing serious threats to people’s physical health and lives, pandemics can lead to psychological distress. This study aimed to investigate the relationship between the COVID-19 pandemic and mental health among adults in Croatia and its association with sociodemographic factors, perceptions of pandemic, locus of control, coping with stress and perceived social support. A cross-sectional, observational study was conducted using a snowball sampling technique. The online survey collected information on sociodemographics, chronic health conditions, self-isolation measure, perception of COVID-19, mental health status, locus of control, coping with stress and perception of social support. Mental health status was assessed by the Depression, Anxiety and Stress Scale (DASS-21). A total of 1482 participants (252 males and 1230 females) completed the study. The mean age of the participants was 33.3 ± 12.2 years, 43 % of the participants had elevated levels of anxiety and 18 % suffered from severe and extremely severe anxiety, 33 % had elevated levels of depression and 12 % suffered from severe and extremely severe depression, and 55 % had elevated levels of stress with 13 % suffering from severe and extremely severe stress. The strongest predictors of mental health symptoms were coping with stress, locus of control, and perceived social support. These results highlight the necessity of implementing psychological interventions during the pandemic to improve the mental health of the adults and vulnerable groups in particular that should include identified factors associated with better mental health status such as coping with stress focused on problem, social diversion and social support.

Race moderates the impact of intolerance of uncertainty on mental health symptoms in Black and White community adults

Racism increases the amount of uncertainty in daily life, which may differentially affect the mental health of individuals from racial minority groups who score high on trait intolerance of uncertainty (IU), or the tendency to experience uncertainty as highly aversive. We examined associations between trait IU and current symptoms of common mental disorders in community samples of Black (N = 125) and White (N = 125) adults ages 18–55 who were matched on age, gender, and educational attainment. Given that data were collected between 2017 and 2021, we also examined pandemic exposure as a moderator of these associations. No mean differences emerged between Black and White adults on trait IU measured with the Intolerance of Uncertainty Scale-12 or on current psychiatric symptoms assessed with the Structured Clinical Interview for DSM-5. Trait IU was more strongly associated with current psychiatric symptoms in Black than White adults, a racial difference that dissipated following pandemic exposure. Present results extend prior work by suggesting the dispositional tendency to find uncertainty aversive is a stronger predictor of mental health symptoms in Black than White adults outside the context of pandemic-related stress. Implications of these findings for understanding the impact of racial- and pandemic-related environmental uncertainty on mental health is discussed.

The Role of Psychological Inflexibility and Experiential Approach on Mental Health in Children and Adolescents: An Exploratory Study.

The prevalence of mental health problems during childhood and adolescence is on the rise. There is a growing interest in the examination of personal variables that may function as risk factors and that may be targeted for effective intervention. This study explores the relationships amongst different aspects of psychological inflexibility (one, typically studied, focusing on the individual’s responding to unwanted emotions and cognitions, and another, more recently explored, focusing on the individual’s responding to desired thoughts and affective states), emotional intelligence, and mental health symptoms. A total of 129 school-going children (mean age: 11.16 years old) completed a battery of instruments comprising the Avoidance and Fusion Questionnaire-Youth (AFQ-Y17), the Experiential Approach Scale (EAS), the Emotional Intelligence Quotient Inventory (EQi-YV), and the Revised Child Anxiety and Depression Scale (RCADS-30). Results showed that both the AFQ-Y17 score and an EAS subscale score (Anxious Clinging) were significant independent predictors of mental health symptoms in general. Emotional intelligence was predictive only for depression, and both the AFQ-Y17 and the Anxious Clinging EAS subscale significantly incremented the predictive power of a hierarchical linear regression model including all three variables. These results underscore the relevance of psychological inflexibility for child/adolescent mental health, and the need to further explore a specific aspect of inflexibility regarding positive emotions and other appetitive private events.

Cross-sectional survey of COVID-19-related impacts on mental health of nurses: occupational disruption, organisational preparedness, psychological harm, and moral distress

Background: The COVID-19 pandemic has presented unprecedented levels of prolonged strain on healthcare systems and healthcare workers (HCWs) globally, with nurses at the forefront. Objectives: To describe types and prevalence of occupational disruptions and exposure to COVID-19, and their impacts on mental health, moral distress, coping strategies, and help-seeking behaviours of Australian nurses. Design: A cross-sectional online anonymous survey distributed amongst Australian HCWs between 27 August and 23 October 2020. Methods: Data was collected on demographics, workplace disruption, personal relationships, and mental health. Predictors of mental health impacts and coping strategies were identified through multivariate regression analyses. Results: 7845 complete responses were returned, of which 3082 (39.3%) were from nurses and 4763 (60.7%) were from all other professions (‘other HCWs’). Occupational disruption was common, with nurses specifically reporting additional paid hours (p < 0.001). Nurses were exposed to, and infected with, COVID-19 more frequently than other HCWs (p < 0.001) and were more likely to report concerns around stigmatisation from the broader community (p < 0.001). Symptoms of mental illness (anxiety, depression, PTSD and burnout) were significantly more prevalent in nurses than other HCWs, despite both groups scoring high on resilience. Common predictors of mental health symptoms included exposure to COVID-19 and worsening of personal relationships. Nurses reported a variety of coping strategies and were more likely than other HCWs to increase alcohol consumption. Engagement with formal support services was low for both groups. Personal and professional predictors for coping strategy use were identified. Conclusions: Urgent action is needed to address staff shortages and burnout which have been exacerbated by COVID-19. Initiatives that recognise the importance of nursing staff and incentivise current and future nurses to join and remain in the workforce are essential.

Heterogeneity in COVID-19 pandemic-induced lifestyle stressors predicts future mental health in adults and children in the US and UK

IntroductionIdentifying predictors of mental health symptoms after the initial phase of the pandemic may inform the development of targeted interventions to reduce its negative long-term mental health consequences. In the current study, we aimed to simultaneously evaluate the prospective influence of life change stress, personal COVID-19 impact, prior mental health, worry about COVID-19, state-level indicators of pandemic threat, and socio-demographic factors on mood and anxiety symptoms in November 2020 among adults and children in the US and UK. MethodsWe used a longitudinal cohort study using the Coronavirus Health Impact Survey (CRISIS) collected at 3 time points: an initial assessment in April 2020 (“April”), a reassessment 3 weeks later (“May”), and a 7-month follow-up in November 2020 (“November”). Online surveys were collected in the United States and United Kingdom by Prolific Academic, a survey recruitment service, with a final sample of 859 Adults and 780 children (collected via parent report). We found subtypes of pandemic-related life change stress in social and economic domains derived through Louvain Community Detection. We assessed recalled mood and perceived mental health prior to the pandemic, worries about COVID-19, personal and family impacts of COVID-19, and socio-demographic characteristics. We used a conditional random forest approach to predict November mood states using these data from April and May and to rank the variable importance of each of the predictor items. ResultsLevels of mood symptoms in November 2020 measured with the circumplex model of affect. We found 3 life change stress subtypes among adults and children: Lower Social/Lower Economic (adults and children), Higher Social/Higher Economic (adults and children), Lower Social/Higher Economic (adults), and Intermediate Social/Lower Economic (children). Overall, mood symptoms decreased between April and November 2020, but shifting from lower to higher-stress subtypes between time points was associated with increasing symptoms. For both adults and children, the most informative predictors of mood symptoms in November identified by conditional random forest models were prior mood and perceived mental health, worries about COVID, and sources of life change. DiscussionThe relative importance of these predictors was the most prominent difference in findings between adults and children, with lifestyle changes stress regarding friendships being more predictive of mood outcomes than worries about COVID in children. In the US, objective state-level indicators of COVID-19 threat were less predictive of November mood than these other predictors. We found that in addition to the well-established influences of prior mood and worry, heterogeneous subtypes of pandemic-related stress were differentially associated with mood after the initial phase of the pandemic. Greater research on diverse patterns of pandemic experience may elucidate modifiable targets for treatment and prevention.

Trajectory and Predictors of Mental Health Symptoms and Wellbeing in Newly Admitted Nursing Home Residents

ABSTRACT Objectives This study determined changes in multiple aspects of mental health and wellbeing in newly admitted nursing home residents, and identified risk and protective factors. Methods Participants were 204 residents recently admitted to one of 42 nursing homes in Melbourne, Australia. A subgroup of 82 participants were followed up eight months post-admission. Depression, anxiety, stress, adjustment, and quality of life were assessed at baseline and follow-up. Predictive factors (demographics, health, transition factors, nursing home characteristics) were examined in multiple regression analyses. Results Rates of depression and anxiety were high at both baseline and follow-up. Low self-rated health and medical comorbidity predicted poor wellbeing at baseline. Higher perceived control in the relocation to the nursing home and engagement in meaningful activities were associated with better post-admission outcomes. Baseline psychotropic medication use predicted lower anxiety at follow-up but did not impact depressive symptoms. Conclusions There were no significant changes in mental health and wellbeing from one to eight months post-admission. The negative effect of residing in a for-profit nursing home requires further investigation. Clinical Implications Individual activity scheduling and an opportunity to participate in relocation decision-making and planning may support resident wellbeing post-admission.

Personal, social and relational predictors of UK postgraduate researcher mental health problems

Background Emerging evidence demonstrates that postgraduate researchers have high rates of mental health problems. These problems are distressing, affect PhD studies, and have longer-term potential effects beyond the duration of the PhD. Yet large-scale studies of multiple risk and protective factors are rare. Aims We aimed to test the predictive validity of a comprehensive set of potential determinants of mental health symptoms (depression, anxiety and suicidality) among postgraduate researchers in the UK, including personal, study-related, and supervision characteristics. Method We used regression models applied to data obtained from a national online survey of UK postgraduate researchers (Understanding DOCtoral researcher mental health; U-DOC, 2018–2019) to test predictors of mental health symptoms. Results These models show that postgraduate researchers' mental health symptoms are predicted by demographic, occupational, psychological, social and supervisory relationship factors. Greater perfectionism, more impostor thoughts and reduced supervisory communion most strongly and consistently predict mental health symptoms. Conclusions Institutions training postgraduate researchers should focus interventions intended to improve depression, anxiety, suicidality, on self-beliefs and social connectedness. Moreover, supervisors should be provided with training that improves the degree of agency, and especially communion, in the relationships they form with postgraduate researchers.

The intersection of housing and mental well-being: Examining the needs of formerly homeless young adults transitioning to stable housing.

We examine the challenges formerly homeless young adults (FHYAs) face after they transition out of homelessness. Considering the adversities FHYAs face, it is unclear how transitioning to stable housing may affect their mental well-being or what types of stressors they may experience once housed. This study investigates the social environment young adults encounter in their transition to stable housing and examines trauma and social coping predictors of mental health symptoms in a sample of FHYAs to generate new knowledge for better intervening to meet their needs. Data were obtained from REALYST, a national research collaborative comprised of interdisciplinary researchers investigating young adults’ (ages 18–26) experiences with homelessness. Cross-sectional data for 1426 young adults experiencing homelessness were collected from 2016 to 2017 across seven cities in the United States (i.e., Los Angeles, Phoenix, Denver, Houston, San Jose, St. Louis, and New York City). The analytical sub-sample for this study consisted of 173 FHYAs who were housed in their own apartment (via voucher from Housing and Urban Development or another source) or in transitional living programs during their participation in the study. Ordinary Least Squares regression was used to examine the influence of trauma and social coping strategies on indicators of mental well-being. Findings indicated that higher adversity scores and higher mental health help-seeking intentions were positively associated with higher levels of stress, psychological distress, and depression severity. Higher level of social coping was associated with lower levels of depression severity. Logistic regression results showed that young adults with higher adversity scores had higher odds of reporting clinical levels of post-traumatic symptoms. The study implications suggest that FHYAs who transition to stable housing continue to need support navigating and coping with stressful life events; and interventions that help FHYAs develop strong networks of social supports are needed to promote positive mental well-being.

Risk and Protective Factors for Common Mental Disorders among Urban Somali Refugee Youth.

The purpose of this study was to explore exposure to trauma as well as demographic and psychosocial factors as predictors of mental health symptoms among Somali refugees in Kenya. Participants were recruited via snowball sampling to complete a survey and included 86 Somali refugee youth, aged 15 to 34years, who were living in Eastleigh. We measured trauma using a total traumas experienced variable as well as four trauma types categories (pre-migration/migration trauma, post-migration trauma, family trauma, and individual trauma). We measured anxiety and depression symptoms using the Hopkins Symptom Checklist-25 (HSCL-25) and PTSD using the PTSD Check List - Civilian Version (PCL-C). We ran descriptive statistics followed by multiple linear regression models with trauma exposure, education, gender, and willingness to share problems as predictors of mental health symptoms. Out of 12 possible traumatic events, most participants (83.7%) reported experiencing at least one trauma, and participants reported experiencing an average of 3.76 total traumas. The regression models predicted between 11.5% and 35.5% of the variance of the mental health symptoms. Willingness to share problems was a significant predictor of decreased mental health symptoms in most models. These findings highlight the role of trauma exposure and psychosocial factors in predicting Somali refugee mental health and indicate that implementing programs to encourage problem sharing may help address Somali refugee mental health needs. Further research is needed to explore the differential impact of trauma exposure and various psychosocial factors on Somali refugee mental health.

Roles of Positive Psychology for Mental Health in UK Social Work Students: Self-Compassion as a Predictor of Better Mental Health

Abstract Despite high shame about mental health symptoms among UK social work students, positive psychological approaches to their mental health have not been investigated in depth. Emotional resilience has been a core skill in social work practice; however, its relationship with mental health is still unclear. Therefore, the primary purposes of this cross-sectional study were to (i) examine the relationships between mental health and positive psychological constructs, namely resilience, self-compassion, motivation and engagement and (ii) determine predictors of mental health in UK social work students. An opportunity sampling of 116 UK social work students (102 females, 14 males; 96 undergraduates, 20 postgraduates) completed 5 measures about these constructs. Correlation and regression analyses were conducted. Mental health was associated with resilience, self-compassion and engagement. Self-compassion was a negative predictor, and intrinsic motivation was a positive predictor of mental health symptoms. Resilience did not predict mental health symptoms. The findings highlight the importance of self-compassion to the challenging mental health of UK social work students; they caution against the overuse and misunderstanding of resilience in the social work field.

Examining Bidirectional Associations Between School Engagement and Mental Health for Youth in Child Welfare

Children in contact with the child welfare system (CWS) represent a vulnerable population that is at an increased risk of poor mental health and academic outcomes. Although the majority of research has focused on the academic benefits of school engagement, studies have also found a negative association between school engagement and youth mental health outcomes. Surprisingly limited research, however, has considered the possibility of a bidirectional relationship between school engagement and youth mental health, and even fewer studies have examined this relationship in high-risk populations, such as children in contact with the CWS. The present study addresses this issue by utilizing longitudinal data from a national sample of 2633 children in contact with the CWS, the National Survey of Child and Adolescent Well-Being (NSCAW I), to examine the possible bidirectional relationship between school engagement and mental health symptoms. Data were collected from this sample (mean age = 10.04; 52.3% female) over three time points (18 months apart). Structural equation modeling results indicated that students’ mental health (externalizing/internalizing symptoms) predicted subsequent school engagement levels. School engagement, on the other hand, was not a predictor of mental health symptoms at later time points. Findings point to the existence of a unidirectional relationship from mental health symptoms to school engagement for children in contact with the CWS. Directions for future mental health interventions for this population are discussed.

Predictors of Mental Health Symptoms, Automatic Thoughts, and Self-Esteem Among University Students.

University youth is a risk group regarding mental health, and many mental health problems are frequent in this group. Sociodemographic factors such as level of income and familial factors such as relationship with father are reported to be associated with mental health symptoms, automatic thoughts, and self-esteem. Also, there are interrelations between mental health problems, automatic thoughts, and self-esteem. The extent of predictive effect of each of these variables on automatic thoughts, self-esteem, and mental health symptoms is not known. We aimed to determine the predictive factors of mental health symptoms, automatic thoughts, and self-esteem in university students. Participants were 530 students enrolled at a university in Turkey, during 2014-2015 academic year. Data were collected using the student information form, the Brief Symptom Inventory, the Automatic Thoughts Questionnaire, and the Rosenberg Self-Esteem Scale. Mental health symptoms, self-esteem, perception of the relationship with the father, and level of income as a student significantly predicted automatic thoughts. Automatic thoughts, mental health symptoms, participation in family decisions, and age had significant predictive effects on self-esteem. Finally, automatic thoughts, self-esteem, age, and perception of the relationship with the father had significant predictive effects on mental health symptoms. The predictive factors revealed in our study provide important information to practitioners and researchers by showing the elements that need to be screened for mental health of university students and issues that need to be included in counseling activities.

HPA-Axis Activation as a Key Moderator of Childhood Trauma Exposure and Adolescent Mental Health.

Individual differences in a child's sensitivity to stress may influence whether youth exposed to trauma develop symptoms of psychopathology. We examined the interaction between HPA-axis reactivity to an acute stressor and exposure to different types of childhood trauma as predictors of mental health symptoms in a sample of youth. Youth (n = 121, ages 9-16; 47% female) completed a standardized stress task, including 5 post-stress salivary cortisol samples. Parents also completed the Child Behavior Checklist as a measure of child internalizing and externalizing symptoms in the past month, and completed the Early Trauma Inventory (ETI) as a measure of their child's trauma exposure. More emotional abuse and non-intentional trauma were associated with greater internalizing symptoms. Youth exposed to physical abuse who demonstrated slower HPA-axis reactivity had elevated internalizing and externalizing symptoms. Youth exposed to emotional abuse or non-intentional traumatic events who demonstrated faster HPA-axis reactivity had elevated internalizing and externalizing symptoms. Profiles of exaggerated or attenuated HPA-axis reactivity to acute stress may be risk factors for psychopathology in children facing different stressful social environments.

The buffering role of social support on the associations among discrimination, mental health, and suicidality in a transgender sample

ABSTRACTIntroduction: Per the minority stress framework, trans individuals often experience psychological distress given the unique stress engendered by gender identity–related discrimination. Prior research has identified social support as particularly important for psychological distress and has suggested that social support may moderate this relationship. The purpose of the current study was to explore the patterns of connections among discrimination, mental health, and suicidal ideation in trans individuals and whether social support moderates these relationships. Methods: Participants (N = 78) completed measures of these constructs as part of a national online survey. Results: A series of simultaneous multiple regressions found that harassment/rejection discrimination was a unique positive predictor of mental health symptoms and suicidal ideation, with depression positively predicting suicidal ideation. A mediational model indicated that the association between harassment/rejection discrimination and suicidal ideation was fully mediated by depression. Three moderated meditational models were run, and one yielded a significant interaction, such that discrimination predicted suicidal ideation most strongly when participants had low social support from a significant other in comparison to participants who had moderate or high support. Further, conditional direct effects identified that discrimination led to ideation only for individuals with low support from friends or a significant other but not for those with moderate or high support. Conclusions: Helping trans individuals cope with harassment and rejection, particularly by drawing on social support, may promote better mental health, which could help reduce suicidality in this population.

HPA-axis activation as a key moderator of childhood trauma exposure and adolescent mental health

Individual differences in a child’s sensitivity to stress may influence whether youth exposed to trauma develop symptoms of psychopathology. We examined the interaction between HPA-axis reactivity to an acute stressor and exposure to different types of childhood trauma as predictors of mental health symptoms in a sample of youth. Youth (n = 121, ages 9–16; 47% female) completed a standardized stress task, including 5 post-stress salivary cortisol samples. Parents also completed the Child Behavior Checklist as a measure of child internalizing and externalizing symptoms in the past month, and completed the Early Trauma Inventory (ETI) as a measure of their child’s trauma exposure. More emotional abuse and non-intentional trauma were associated with greater internalizing symptoms. Youth exposed to physical abuse who demonstrated slower HPA-axis reactivity had elevated internalizing and externalizing symptoms. Youth exposed to emotional abuse or non-intentional traumatic events who demonstrated faster HPA-axis reactivity had elevated internalizing and externalizing symptoms. Profiles of exaggerated or attenuated HPA-axis reactivity to acute stress may be risk factors for psychopathology in children facing different stressful social environments.

Maltreatment Characteristics and Emotion Regulation (ER) Difficulties as Predictors of Mental Health Symptoms: Results from a Community-Recruited Sample of Female Adolescents

Mental health outcomes vary among maltreated youth, and the factors that impact variance need further investigation. The current study examined how maltreatment characteristics (age at onset, cumulative perpetrators, and cumulative types) and difficulties with emotion regulation (ER) predicted trauma-relevant symptoms among a community-recruited sample of female adolescents with histories of exposure to violence (N = 115; M(SD) age = 15.96 (1.56) years). To predict each trauma-relevant symptom (i.e. anger, anxiety, depression, dissociation, and posttraumatic stress (PTS)), a hierarchical two-step regression was conducted. For Step 1, maltreatment characteristics, taken together, predicted variance in four of five symptoms: anger, anxiety, dissociation, and posttraumatic stress (PTS). Above and beyond variance accounted for by maltreatment characteristics, age at onset predicted variance in anger, anxiety, and PTS symptoms. For Step 2, ER difficulties predicted variance in all symptoms. Findings highlight the need for further research about how maltreatment histories impact subsequent mental health. Results also suggest that ER difficulties should be increasingly considered in models of posttraumatic distress among maltreated youth.