Pain perception and physiological correlates in body-focused repetitive behavior disorders.

BACKGROUND: Behaviors typical of body-focused repetitive behavior disorders such as trichotillomania (TTM) and skin-picking disorder (SPD) are often associated with pleasure or relief, and with little or no physical pain, suggesting aberrant pain perception. Conclusive evidence about pain perception and correlates in these conditions is, however, lacking. METHODS: A multisite international study examined pain perception and its physiological correlates in adults with TTM (n = 31), SPD (n = 24), and healthy controls (HCs; n = 26). The cold pressor test was administered, and measurements of pain perception and cardiovascular parameters were taken every 15 seconds. Pain perception, latency to pain tolerance, cardiovascular parameters and associations with illness severity, and comorbid depression, as well as interaction effects (group × time interval), were investigated across groups. RESULTS: There were no group differences in pain ratings over time (P = .8) or latency to pain tolerance (P = .8). Illness severity was not associated with pain ratings (all P > .05). In terms of diastolic blood pressure (DBP), the main effect of group was statistically significant (P = .01), with post hoc analyses indicating higher mean DBP in TTM (95% confidence intervals [CI], 84.0-93.5) compared to SPD (95% CI, 73.5-84.2; P = .01), and HCs (95% CI, 75.6-86.0; P = .03). Pain perception did not differ between those with and those without depression (TTM: P = .2, SPD: P = .4). CONCLUSION: The study findings were mostly negative suggesting that general pain perception aberration is not involved in TTM and SPD. Other underlying drivers of hair-pulling and skin-picking behavior (eg, abnormal reward processing) should be investigated.

Epidemiology of non-fatal suicidal behavior among first-year university students in South Africa.

Supplemental data for this article can be accessed on the publisher's website.We used a cross-sectional web-based survey and discrete-time survival analysis with person-year as unit of analysis and retrospective age-of-onset reports to estimate prevalence and predictors of suicidal ideation, plan, and attempt, and transitions from ideation to plan and attempt among South African university students (n = 1402). The lifetime prevalence of ideation, plan, and attempt were 46.4% (n = 650), 26.5% (n = 372), and 8.6% (n = 120), respectively. Multiple temporally primary mental disorders predicted subsequent onset of suicidality and transitions from ideation to plan and attempt. Results highlight the need for campus-based suicide prevention in South Africa, vulnerability of historically disadvantaged students, and the importance of promoting mental health in suicide prevention.

Prevalence and sociodemographic correlates of common mental disorders among first-year university students in post-apartheid South Africa: implications for a public mental health approach to student wellness.

BACKGROUND: There is growing awareness of the need for effective prevention, early detection, and novel treatment approaches for common mental disorders (CMDs) among university students. Reliable epidemiological data on prevalence and correlates are the cornerstones of planning and implementing effective health services and adopting a public health approach to student wellness. Yet, there is a comparative lack of sound psychiatric epidemiological studies on CMDs among university students in low- and middle-income countries, like South Africa (SA). It is also unclear if historically marginalised groups of students are at increased risk for mental health problems in post-apartheid SA. The objective of the study was to investigate the prevalence and sociodemographic correlates of lifetime and 12-month CMDs among university students in SA, with a particular focus on vulnerability among students in historically excluded and marginalised segments of the population. METHODS: Data were collected via self-report measures in an online survey of first-year students registered at two large universities (n = 1402). CMDs were assessed with previously-validated screening scales. Data were weighted and analysed using multivariate statistical methods. RESULTS: A total of 38.5% of respondents reported at least one lifetime CMD, the most common being major depressive disorder (24.7%). Twelve-month prevalence of any CMD was 31.5%, with generalised anxiety disorder being the most common (20.8%). The median age of onset for any disorder was 15 years. The median proportional annual persistence of any disorder was 80.0%. Female students, students who reported an atypical sexual orientation, and students with disabilities were at significantly higher risk of any lifetime or 12-month disorder. Female gender, atypical sexual orientation, and disability were associated with elevated risk of internalising disorders, whereas male gender, identifying as White, and reporting an atypical sexual orientation were associated with elevated risk of externalising disorders. Older age, atypical sexual orientation, and disability were associated with elevated risk of bipolar spectrum disorder. CONCLUSIONS: Despite advances to promote greater social inclusion in post-apartheid SA, students who identify as female, students with atypical sexual orientations, and students with disabilities are nonetheless at increased risk of CMDs, although students who identify as Black and first-generation students are not.

The relationship between childhood adversity, recent stressors, and depression in college students attending a South African university.

BACKGROUND: College students are at risk of depression. This risk may be increased by the experience of childhood adversity and/or recent stressors. This study examined the association between reported experiences of childhood adversity, recent stressors and depression during the last 12 months in a cohort of South African university students. METHODS: Six hundred and eighty-six first year students at Stellenbosch University in South Africa completed a health-focused e-survey that included items on childhood adversity, recent stressors and mood. Individual and population attributable risk proportions (PARP) between experiences of childhood adversity and 12-month stressful experiences and 12-month depression were estimated using multivariate binomial logistic regression analysis. RESULTS: About one in six students reported depression during the last 12 months. Being a victim of bullying and emotional abuse or emotional neglect during childhood were the strongest predictors of depression in the past year at both individual and population level. With regard to recent stressors, a romantic partner being unfaithful, serious ongoing arguments or break-ups with some other close friend or family member and a sexual or gender identity crisis were the strongest predictors of depression. The predictor effect of recent stressors was significantly reduced in the final model that adjusted for the type and number of childhood traumatic experiences. At a population level, academic stress, serious ongoing arguments or break-ups with a close friend or family member, and serious betrayal by someone close were the variables that yielded the highest PARP. CONCLUSIONS: Our findings suggest a significant relationship between early adversity, recent stressors, and depression here and throughout, consistent with the broader literature on predictors of depression. This study contributes to the limited data on college students' mental health in low and middle income countries including on the African continent. The findings provide information on the population level effect sizes of trauma as a risk factor for depression, as well as on the relationship between specific recent stressors and depression in college students.

The mental health of university students in South Africa: Results of the national student survey.

BACKGROUND: We estimate 30-day prevalence of 11 common mental disorders among a representative sample of university students in South Africa and explore disparities in student mental health across historically segregated institutions and marginalised groups. METHODS: Cross-sectional data collected in self-report surveys of students (n = 28,268) from 17 universities were weighted to adjust for differences in survey responses. Poisson regression was used to estimate risk ratios (RRs). RESULTS: Prevalence estimates were highest (21.0-24.5 %) for two anxiety disorders (social anxiety disorder, PTSD) and two disruptive behavior disorders (eating disorder, ADHD). Prevalence estimates were higher for any anxiety disorder (37.1 %) and any disruptive behavior disorder (38.7 %) than for any mood disorder (16.3 %) or any substance use disorder (6.6 %). Prevalence estimates varied significantly by historical segregation status of institutions (F3 = 221.6, p < .001), with prevalence consistently highest in Historically White Institutions (HWIs). Across all institutions, risk of any disorder was lower among oldest than younger students (RR = 0.7, 95%CI = 0.7-0.8), and elevated among gender non-conforming (RR = 1.3, 95%CI = 1.1-1.4), female (RR = 1.2, 95%CI = 1.1-1.2), and sexual minority (RR = 1.2, 95%CI = 1.2-1.3) students. Black students attending HWIs had elevated risk of any disorder relative to White students. LIMITATIONS: Reliance on self-report measures together with relatively low and variable response rates across institutions limit generalizability of results. CONCLUSIONS: Modest risks associated with sociodemographic factors suggest a need to focus on mental health of female, gender nonconforming and sexual minority students at all universities along with Black students attending HWIs.

Inequality and mental healthcare utilisation among first-year university students in South Africa.

BACKGROUND: Addressing inequalities in mental healthcare utilisation among university students is important for socio-political transformation, particularly in countries with a history of educational exclusion. METHODS: As part of the WHO World Mental Health International College Student Initiative, we investigated inequalities in mental healthcare utilisation among first-year students at two historically "White" universities in South Africa. Data were collected via a web-based survey from first-year university students (n = 1402) to assess 12-month mental healthcare utilisation, common mental disorders, and suicidality. Multivariate logistic regression models were used to estimate associations between sociodemographic variables and mental healthcare utilisation, controlling for common mental disorders and suicidality. RESULTS: A total of 18.1% of students utilised mental healthcare in the past 12 months, with only 28.9% of students with mental disorders receiving treatment (ranging from 28.1% for ADHD to 64.3% for bipolar spectrum disorder). Of those receiving treatment, 52.0% used psychotropic medication, 47.3% received psychotherapy, and 5.4% consulted a traditional healer. Treatment rates for suicidal ideation, plan and attempt were 25.4%, 41.6% and 52.9%, respectively. In multivariate regression models that control for the main effects of mental health variables and all possible joint effects of sociodemographic variables, the likelihood of treatment was lower among males (aOR = 0.57) and Black students (aOR = 0.52). An interaction was observed between sexual orientation and first generation status; among second-generation students, the odds of treatment were higher for students reporting an atypical sexual orientation (aOR = 1.55), while among students with atypical sexual orientations, the likelihood of mental healthcare utilisation was lower for first-generation students (aOR = 0.29). Odds of treatment were significantly elevated among students with major depressive disorder (aOR = 1.88), generalised anxiety disorder (aOR = 2.34), bipolar spectrum disorder (aOR = 4.07), drug use disorder (aOR = 3.45), suicidal ideation (without plan or attempt) (aOR = 2.00), suicide plan (without attempt) (aOR = 3.64) and suicide attempt (aOR = 4.57). Likelihood of treatment increased with level of suicidality, but not number of mental disorders. CONCLUSION: We found very low mental healthcare treatment utilisation among first-year university students in South Africa, with enduring disparities among historically marginalised groups. Campus-based interventions are needed to promote mental healthcare utilisation by first-year students in South Africa, especially among male and Black students and first-generation students with atypical sexual orientations.