Economic strain, parental education and psychotic experiences among college students in the United States: Findings from the Healthy Minds Study 2020

Exposure profiles of social-environmental neighborhood factors and psychotic-like experiences

Importance

Recent research has demonstrated that domains of social determinants of health (SDOH) (e.g., air pollution and social context) are associated with psychosis. However, SDOHs have often been studied in isolation.

Objective

To identify distinct exposure profiles, estimate their associations with persistent distressing psychotic-like experiences (PLE), and evaluate whether involvement with physical activities partially explains this association.

Design Setting and Participants

This population-based study used data from the Adolescent Brain and Cognitive Development (ABCD) Study. Participants were recruited from 22 US sites between September 2016 and January 2022. Data from baseline and three follow-ups were included.

Exposures

Area-level geocoded variables spanning various domains of SDOH, including socioeconomic status (SES), education, crime, built environment, social context, and crime, were clustered using a self-organizing map method to identify exposure profiles.

Main Outcomes and Measures

Persistent distressing PLE was derived from the Prodromal Questionnaire-Brief Child Version across four years. Generalized linear mixed modeling tested the association between exposure profiles and persistent distressing PLE as well as physical activities (i.e., team and individual sports), adjusting for individual-level covariates including age, sex, race/ethnicity, highest level of parent education, family-relatedness, and study sites.

Results

Among 8,145 participants (baseline mean [SD] age, 9.92 [0.63] years; 3,868 (47.5%) females; 5,566 (68.3%) White, 956 (11.7%) Black, 159 (2.0%) Asian, and 1,480 (18.4%) Hispanic participants), five exposure profiles were identified. Compared to the reference Profile 1 (suburban affluent areas, 2521 children, 30.9%), Profile 3 (rural areas with low walkability and high ozone; 1459 children, 17.9%; adjusted OR: 1.34, 95% CI: 1.09-1.64) and Profile 4 (urban areas with high SES deprivation, high crime, and high pollution; 715 children, 8.8%; adjusted OR: 1.40, 95% CI: 1.08-1.81), were associated with persistent distressing PLE. Team sports mediated 6.14% of the association for Profile 3.

Conclusion and Relevance

This study found that neighborhoods characterized by rural areas with low walkability and urban areas with high socioeconomic deprivation, air pollutants, and crime were associated with persistent distressing PLE. Further research is needed to explore the pathways through which different environmental factors may impact the development of psychosis.

The association between neighborhood-level social fragmentation and distressing psychotic-like experiences in early adolescence: the moderating role of close friends

BACKGROUND

Early exposure to neighborhood social fragmentation has been shown to be associated with schizophrenia. The impact of social fragmentation and friendships on distressing psychotic-like experiences (PLE) remains unknown. We investigate the relationships between neighborhood social fragmentation, number of friends, and distressing PLE among early adolescents.

METHODS

Data were collected from the Adolescent Brain Cognitive Development Study. Generalized linear mixed models tested associations between social fragmentation and distressing PLE, as well as the moderating role of the number of total and close friends.

RESULTS

Participants included 11 133 adolescents aged 9 to 10, with 52.3% being males. Greater neighborhood social fragmentation was associated with higher levels of distressing PLE (adjusted β = 0.05; 95% CI: 0.01-0.09). The number of close but not total friends significantly interacted with social fragmentation to predict distressing PLE (adjusted β = -0.02; 95% CI: -0.04 to <-0.01). Among those with fewer close friends, the association between neighborhood social fragmentation and distressing PLE was significant (adjusted β = 0.07; 95% CI: 0.03-0.11). However, among those with more close friends, the association was non-significant (adjusted β = 0.03; 95% CI: -0.01 to 0.07).

CONCLUSIONS

Greater neighborhood social fragmentation is associated with higher levels of distressing PLE, particularly among those with fewer close friends. Further research is needed to disentangle aspects of the interaction between neighborhood characteristics and the quality of social interactions that may contribute to psychosis, which would have implications for developing effective interventions at the individual and community levels.

Food insecurity in adults with severe mental illness: A systematic review with meta-analysis

INTRODUCTION

Food insecurity in adults living with Severe Mental Illness (SMI) is an underresearched area worldwide.

AIM

This systematic review and meta-analysis aimed to identify and collate evidence on food insecurity in adults with SMI, in high- and upper-middle income countries.

METHOD

A comprehensive electronic search was completed up to August 2022. Random effects meta-analysis was undertaken to determine the prevalence and the odds ratio for food insecurity in adults with SMI. Narrative synthesis explored the data further.

RESULTS

Sixteen publications were included (13 in the meta-analysis). The prevalence estimate of food insecurity in adults with SMI was 41% (95% CI: 29% to 53%, I2  = 99.9%, n = 13). Adults with SMI were 3.31 (95% CI: 2.03 to 5.41) times more likely to experience food insecurity than comparators without SMI (z = 6.29, p < .001, I2  = 98.9%, n = 6). Food insecurity appears to be a risk factor for developing SMI.

DISCUSSION

This review suggests adults with SMI living in high- or upper-middle income countries are more likely to experience food insecurity than the general population and that this relationship may be inverse.

IMPLICATIONS FOR PRACTICE

Mental health practitioners should be aware of food insecurity and support individuals with SMI to access sufficient food.

Sexual Minority Status and Psychotic Experiences Among Young Adult College Students in the United States

2020-2021 Healthy Minds Study, and used multivariable logistic regression to examine the associations between sexual minority status and psychotic experiences, adjusting for age, gender, and race/ethnicity. We then tested whether psychosocial factors accounted for the association. Sexual minority status was associated with 1.87 times greater odds of having psychotic experiences over the past 12 months (aOR: 1.87; 95% CI: 1.77-1.99; N = 110,551). Several factors mediated the association between sexual orientation and psychotic experiences such as loneliness (26.93%), anxiety (30.90%), depression (33.18%), and marijuana use (13.95%); all factors together accounted for 59.01% of the association between sexual minority status and psychotic experiences. Food insecurity, recent abuse, and discrimination did not significantly mediate the association. Findings should raise clinical awareness that psychotic experiences are more common among sexual minorities than among heterosexuals, which is largely explained by mental health factors, calling for targeted outreach and intervention.

An egocentric network analysis of U.S. college students' recollection of mental health symptoms and social connections during the COVID-19 pandemic

Objective: This study analyzes pandemic-era diminished mental health and social connections among college students. Participants: Students of a large public university completed an online survey measuring self-reported mental health symptoms for themselves and that of their closest social connections. Methods: Three regression models were used to understand if pandemic-era diminished mental health was associated with mental health characteristics present among their social networks: (1) depressive symptoms, (2) loneliness, and (3) hopelessness. Results: Students experiencing depressive symptoms (R2 = 0.13, F = 3.685, p < 0.001) perceived depressive symptoms (β = 0.32, p = 0.01) among their social connections. Students experiencing loneliness (R2 = 0.13, F = 3.867, p < 0.001) perceived loneliness (β = 0.39, p = 0.02) among their social connections. Students experiencing hopelessness (R2 = 0.14, F = 4.223, p < 0.001) perceived depressive symptoms (β = 0.35, p = 0.01) among their social connections. Conclusion: Social connections may influence mental health symptoms and could be a social determinant of certain mental health outcomes.

The association of social inequality with the onset, persistence, and progression of psychotic experiences along the extended psychosis phenotype: a 6-year follow-up study in a community-based sample

PURPOSE

This paper aims to investigate associations between early childhood and current indicators of socioeconomic inequality and the onset (incident), persistence and progression (increase in severity) of psychotic experiences (PEs) in a longitudinal follow-up of a community-based population.

METHODS

Households in the metropolitan area of Izmir, Turkey were contacted in a multistage clustered probability sampling frame, at baseline (T1, n = 4011) and at 6-year follow-up (T2, n = 2185). Both at baseline and follow-up, PEs were assessed using Composite International Diagnostic Interview 2.1. The associations between baseline socioeconomic features and follow-up PEs were analysed using logistic regression models. Indicators of social inequality included income, educational level, current socioeconomic status (SES), social insurance, the area resided, ethnicity, parental educational level, and SES at birth.

RESULTS

The risk of onset of PEs was significantly higher in lower education, lower SES, and slum-semi-urban areas. The persistence of PEs was significantly associated with the lowest levels of education and current SES, and rural residency. Persistent PEs were significantly and negatively associated with paternal SES at birth. Progression of PEs was significantly higher among respondents with educational achievements lower than university level and lower levels of SES, who have no social insurance and who reside in slum-semi-urban areas. Parental education and paternal SES at birth were not associated with the persistence of PEs.

CONCLUSION

Indicators of social inequality (low education, low SES, low income, and poverty in the neighbourhood) were associated with the onset and persistence of PEs and progression along the extended psychosis phenotype. The early indicators seem to have a modest life-long impact on the psychosis phenotype.

Integrating wellness into curricula using the ten dimensions of wellness as a framework

Burnout is a public health crisis that persists at the expense of clinician well-being, the healthcare workforce, and the quality of care provided. Clinician well-being is a professional imperative, yet nursing students still report higher levels of burnout than non-nursing students. Cultivating an academic learning environment that supports the development of resiliency, well-being, and improved student mental health requires a coordinated and sustained effort from nurse educators and academic leaders. This article aims to inspire nurse educators to take the first or next steps toward integrating wellness into nursing curricula. The ten dimensions of wellness provide a framework for wellness programming. Practical strategies aligned with each dimension are offered. As an exemplar, the Banding Together for Wellness program is summarized, including innovative incentives for student participation. Over the past five years, 426 (approximately 54 %) undergraduate nursing students voluntarily completed the program. While best practices may vary by institution, the strategies and resources offered herein can support nurse educators in the classroom, lab, and clinical setting as we all work to foster personal and professional well-being in nursing students. Nurse educators can be instrumental in cultivating the knowledge, skills, and attitudes required for life-long self-care, well-being, and nursing practice.

Single-label machine learning classification revealed some hidden but inter-related causes of five psychotic disorder diseases

Psychotic disorder diseases (PDD) or mental illnesses are group of illnesses that affect the minds and impair the cognitive ability, retard emotional ability and obstruct the process of communication and relationship with others and are characterized by delusions, hallucinations and disoriented or disordered pattern of thinking. Prognosis of PDD is not sufficient because of the nature of the diseases and as such adequate form of diagnosis is required to detect, manage and treat the illness. This paper applied the single-label classification (SLC) machine learning approach in mining of electronic health records of people with PDD in Nigeria using eleven independent (demographic) variables and five PDD as target variables. The five PDDs are Insomnia, Schizophrenia, Minimal Brain dysfunction (MBD), which is also known as Attention-Deficit/Hyperactivity Disorder (ADHD), Vascular Dementia (VD) and Bipolar Disorder (BD). The aim of using SLC is that it would be easier to detect some PDDs that are related to each other without the loss of information, which is a plus over multi-label classification (MLC). ReliefF algorithm was used at each experiment to precipitate the order of importance of the independent variables and redundant variables were excluded from the analysis. The order of the variables in feature selection was matched with feature importance after the classifications and quantified using the Spearman rank correlation coefficient. The data was divided into: 70% for training and 30% for testing. Four new performance metrics adapted from the root mean square (RMSE) were proposed and used to measure the differences between the performance results of the 10 Machine learning models in terms of the training and testing and secondly, feature and without feature selection. The new metrics are close to zero which is an indication that the use of feature selection and cross validation may not greatly affects the accuracy of the SLC. When the PDDs are included as predictors for classifying others, there was a tremendous improvement as revealed by the four new metrics for classification accuracy (CA), precision and recall. Analysis of variance showed the four different metrics differs significantly for classification accuracy (CA) and precision. However, there were no significant difference between the CA and precision when the duo are compared together across the four evaluation metrics at p value less than 0.05.

Childhood family environment predicting psychotic disorders over a 37-year follow-up - A general population cohort study

BACKGROUND

Childhood adverse effects and traumatic experiences increase the risk for several psychiatric disorders. We now investigated whether prospectively assessed childhood family environment per se contributes to increased risk for psychotic disorders in adulthood, and whether these family patterns are also relevant in the development of affective disorders.

METHODS

We used the Young Finns Data (n = 3502). Childhood family environment was assessed in 1980/1983 with previously constructed risk scores: (1) disadvantageous emotional family atmosphere (parenting practices, parents' life satisfaction, parents' mental disorder, parents' alcohol intoxication), (2) adverse socioeconomic environment (overcrowded apartment, home income, parent's employment, occupational status, educational level), and (3) stress-prone life events (home movement, school change, parental divorce, death, or hospitalization, and child's hospitalization). Psychiatric diagnoses (ICD-10 classification) over the lifespan were collected up to 2017 from the national registry of hospital care. Non-affective psychotic disorder and affective disorder groups were formed.

RESULTS

Frequent stress-prone life events predicted higher likelihood of non-affective psychotic disorders (OR = 2.401, p = 0.001). Adverse socioeconomic environment or emotional family atmosphere did not predict psychotic disorders. Only disadvantageous emotional family atmosphere predicted modestly higher likelihood of affective disorders (OR = 1.583, p = 0.013).

CONCLUSIONS

Our results suggest that childhood family environment and atmosphere patterns as such contribute to the risk for developing adulthood mental disorders with relative disorder specificity. The results emphasize the importance of both individual and public health preventive initiatives, including family support interventions.

Schizotypal traits in a large sample of high-school and university students from Tunisia: correlates and measurement invariance of the arabic schizotypal personality questionnaire across age and sex

BACKGROUND

The main goal of the present study was to examine the characteristics of schizotypal traits and their correlations with genetic (i.e., family history of mental illness), demographic (i.e., age, sex), environmental (e.g., income, urbanicity, tobacco/alcohol/cannabis use), and psychological (i.e., personal history of mental illness other than psychosis) factors in Tunisian high-school and university students. Our secondary goal was to contribute the literature by examining the factor structure and factorial invariance of the Arabic Schizotypal Personality Questionnaire (SPQ) across sex and age (adolescents [12-18 years] vs. young adults [18-35 years]) groups.

METHOD

This was a cross-sectional study involving 3166 students: 1160 (36.6%) high-school students (53.0% females, aged 14.9 ± 1.8); and 2006 (63.4%) university students (63.9% females, aged 21.8 ± 2.3). All students were asked to complete a paper-and-pencil self-administered questionnaire containing sociodemographic characteristics as well as the Arabic version of the SPQ.

RESULTS

The total sample yielded total SPQ scores of 24.1 ± 16.6 out of 74. The SPQ yielded good composite reliability as attested by McDonald's omega values ranging from .68 to .80 for all nine subscales. Confirmatory Factor Analysis indicated that fit of the 9-factor model of SPQ scores was acceptable. This model is invariant (at the configural, metric and structural levels) across sex and age. Except for "Odd or eccentric behavior", all schizotypy features were significantly higher among female students compared to males. Multivariable analyses showed that female sex, being a university student, lowest family incomes, tobacco use, and having a personal history of psychiatric illness were significantly associated with higher positive, negative and disorganized schizotypy subscales scores.

CONCLUSION

Future research still needs to confirm our findings and investigate the contribution of the identified factors in the development of clinical psychosis. We can also conclude that the Arabic SPQ is appropriate for measuring and comparing schizotypy across age and sex in clinical and research settings. These findings are highly relevant and essential for ensuring the clinical utility and applicability of the SPQ in cross-cultural research.

Distress related to psychotic experiences: Enhancing the world health organization composite international diagnostic interview psychosis screen

BACKGROUND

The abbreviated version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) psychosis screen tends to yield high prevalence in online samples. Psychotic Experiences (PE) may not necessarily indicate current or imminent psychopathology; however, distressing PE appear to be more clinically informative.

METHODS

We analyzed data collected from an online survey administered to a Qualtrics panel (N = 2522 adults). Using multivariable logistic regression, we examined the association between PE (with and without associated distress) and several mental health outcomes, adjusting for age, gender, and race/ethnicity.

RESULTS

Individuals with distressing PE had greater odds of most mental health outcomes when compared with individuals with non-distressing PE. This was true for being in mental health treatment, loneliness, probable mental illness, suicidal ideation, and suicide attempt, adjusting for age, gender, race/ethnicity, and education level. The only exception was for hazardous alcohol use, for which there was no significant association with distressing PE.

CONCLUSION

As screening for PE gains traction in public health and preventive medicine, using an abbreviated version of the WHO CIDI psychosis screen may be clinically informative, especially when eliciting the distressful nature of PE.

Prevalence and risk factors of self-reported psychotic experiences among high school and college students: A systematic review, meta-analysis, and meta-regression

BACKGROUND

Adolescents are at high risk of incident psychopathology. Fleeting psychotic experiences (PEs) that emerge in young people in response to stress may be warning signs that are missed by research that fails to study stressed populations, such as late high school and college/university students. Our aim in this systematic review was to conduct a meta-analysis that estimates prevalence rates of PEs in students, and to assess whether these rates differ by gender, age, culture, and COVID-19 exposure.

METHOD

We searched nine electronic databases, from their inception until January 31, 2022 for relevant studies. We pooled the estimates using the DerSimonian-Laird technique and random-effects meta-analysis. Our main outcome was the prevalence of self-reported PEs in high school and college/university students. We subsequently analyzed our data by age, gender, population, country, culture, evaluation tool, and COVID-19 exposure.

RESULTS

Out of 486 studies retrieved, a total of 59 independent studies met inclusion criteria reporting 210' 024 students from 21 different countries. Nearly one in four students (23.31%; 95% CI 18.41%-29.05%), reported having experienced PEs (heterogeneity [Q = 22,698.23 (62), p = 0.001] τ²  = 1.4418 [1.0415-2.1391], τ = 1.2007 [1.0205-1.4626], I²  = 99.7%, H = 19.13 [18.59-19.69]). The 95% prediction intervals were 04.01%-68.85%. Subgroup analyses showed that the pooled prevalence differed significantly by population, culture, and COVID-19 exposure.

CONCLUSION

This meta-analysis revealed high prevalence rates of self-reported PEs among teen and young adult students, which may have significance for mental health screening in school settings. An important realization is that PEs may have very different mental health meaning in different cultures.

Psychotic experiences among Black college students in the United States: The role of socioeconomic factors and discrimination

BACKGROUND

Psychosis is more prevalent among Black individuals compared with White individuals. However, it is unknown whether this disparity exists among college populations in the United States, and if so, what factors contribute to the disparity.

METHODS

We analyzed data from Black and White young adult students using the Health Minds Study (2020-2021), which is a survey administered at 140 colleges in the U.S. Using mediation analysis, we examined the extent to which the relation between race and psychotic experiences was mediated by socioeconomic factors (past and current financial distress, food insecurity, parental education) and discrimination.

RESULTS

Approximately 38 % of Black students and 30 % of White students reported lifetime psychotic experiences. Including all socioeconomic factors together in the same model accounted for just over half (50.2 %) the association between race and psychotic experiences. We then conducted additional analyses examining discrimination, all the socioeconomic factors plus discrimination accounted for 81.5 % of the association between race and psychotic experiences. When disentangling the mediators, food insecurity and discrimination accounted for the largest percentages of the association. The effects of past financial distress and parental education were modified by race.

CONCLUSION

Black college students were more likely to report lifetime psychotic experiences than their White counterparts. Moreover, socioeconomic factors and discrimination made significant contributions to this racial difference.

COVID-19 dimensions and psychotic experiences among US college students: Findings from the Healthy Mind Study 2020

BACKGROUND

The COVID-19 pandemic has caused tremendous changes in daily living, which may be related to mental health problems, including psychotic experiences, though research has only begun to assess these associations.

METHODS

We analyzed data from the Healthy Minds Survey (Fall Semester Cohort 2020), which is a non-probability sample of students attending one of 36 universities in the United States, who completed an online survey during the COVID-19 pandemic (September-December 2020). We used multivariable logistic regression to examine the associations between several COVID-19 dimensions (anxiety, discrimination, financial distress, infection, illness of loved one, death of loved one, caregiving) and 12-month psychotic experiences, adjusting for age, gender, race/ethnicity, and international student status.

RESULTS

Each individual COVID-19 dimension was significantly associated with greater odds of having 12-month psychotic experiences, with the exception of being a caregiver. When accounting for all COVID-19 dimensions simultaneously in the same model, only COVID-19 related anxiety, financial distress, and infection were associated with psychotic experiences.

CONCLUSION

COVID-19 dimensions were linked to psychotic experiences among university students, which may also apply to the larger population. This can potentially inform assessment and treatment during the pandemic.