Perceived need for care and mental health service utilization among college students with suicidal ideation

Sociodemographic Correlates of Mental Health Treatment Seeking Among College Students: A Systematic Review and Meta-Analysis

OBJECTIVE

College students have high rates of mental health problems and low rates of treatment. Although sociodemographic disparities in student mental health treatment seeking have been reported, findings have not been synthesized and quantified. The extent to which differences in perceived need for treatment contribute to overall disparities remains unclear.

METHODS

A systematic search of PubMed, PsycInfo, and Embase was conducted. Studies published between 2007 and 2022 were included if they reported treatment rates among college students with mental health problems, stratified by sex, gender, race-ethnicity, sexual orientation, student type, student year, or student status. Random-effects models were used to calculate pooled prevalence ratios (PRs) of having a perceived need for treatment and of receiving treatment for each sociodemographic subgroup.

RESULTS

Twenty-one studies qualified for inclusion. Among students experiencing mental health problems, consistent and significant sociodemographic differences were identified in perceived need for treatment and treatment receipt. Students from racial-ethnic minority groups (in particular, Asian students [PR=0.49]) and international students (PR=0.63) reported lower rates of treatment receipt than White students and domestic students, respectively. Students identifying as female (sex) or as women (gender) (combined PR=1.33) reported higher rates of treatment receipt than students identifying as male or as men. Differences in perceived need appeared to contribute to some disparities; in particular, students identifying as male or as men reported considerably lower rates of perceived need than students identifying as female or as women.

CONCLUSIONS

Findings highlight the need for policy makers to address barriers throughout the treatment-seeking pathway and to tailor efforts to student subgroups to reduce treatment disparities.

Hope for the future protects against suicidal ideation among adolescents and young adults affected by perinatal HIV

Hope for the future has been found protective against suicidal ideation (SI) in adolescents and young adults (AYA) yet has not been examined in AYA with perinatal HIV-infection (PHIV) or AYA who were perinatally HIV-exposed but uninfected (PHEU), who are at higher risk for SI than general populations. Using data from a New York City-based longitudinal study of AYAPHIV and AYAPHEU enrolled when 9-16 years old, we examined associations between hope for the future, psychiatric disorders, and SI over time using validated measures. Generalized estimating equations were used to estimate differences in mean hope for the future scores by PHIV-status and to estimate adjusted odds ratios for associations between hope for the future and SI. AYA reported high hope for the future scores and low SI across visits, irrespective of PHIV-status. Higher hope for the future scores were associated with lower odds of SI (AOR = 0.48, 95% CI: 0.23, 0.996). Mood disorder was associated with increased odds of SI (AOR = 13.57, 95% CI: 5.11, 36.05) in a model including age, sex, follow-up, PHIV-status, mood disorder, and hope for the future. Understanding how hope can be cultivated and how it protects against SI can help to inform preventive interventions for HIV-affected AYA.

Individual Capital Structure and Health Behaviors among Chinese Middle-Aged and Older Adults: A Cross-Sectional Analysis Using Bourdieu's Theory of Capitals

This study draws on Bourdieu’s theory of capitals to analyze the relative importance of economic, cultural, and social capital on health behaviors in Chinese middle-aged and older adults. Based on data from the China Family Panel Studies of 2016 (N = 15,147), we first harnessed a binary logistic regression model to discuss the associations between the three capitals and four types of health behaviors (i.e., physical exercise, smoking, binge drinking and stay-up). Using the sheaf coefficients technique, we then compared the relative effects of three of the capitals on health behaviors. The results suggest that cultural capital is the most influential one, which would significantly increase physical exercise and stay-up behaviors, and reduce smoking and binge drinking behaviors. Economic capital is also an important predictor, that may reduce smoking behavior but increase binge drinking and stay-up behaviors. Social capital has shown the least importance, although it would still be saliently associated with physical exercise, smoking and stay-up behaviors. In addition, some significant group disparities are also identified. This article is one of the first to explain health behavior inequalities through a Bourdieusian capital-based approach in Chinese contexts.