Financial difficulties and psychosis risk in British undergraduate students: a longitudinal analysis

Student loan debt and mental health: a comprehensive review of scholarly literature from 1900 to 2019

PURPOSE

The review had two purposes. The first was to examine the nature and extent of published literature on student loan and the second was to systematically review the literature on student loans and mental health.

MATERIALS AND METHODS

Data from academic databases (1900-2019) were analyzed using two methods. First, topic modeling (a text-mining tool that utilized Bayesian statistics to extract hidden patterns in large volumes of texts) was used to understand the topical coverage in peer-reviewed abstracts (n = 988) on student debt. Second, using PRISMA guidelines, 46 manuscripts were systematically reviewed to synthesize literature linking student debt and mental health.

RESULTS

A model with 10 topics was selected for parsimony and more accurate clustered representation of the patterns. Certain topics have received less attention, including mental health and wellbeing. In the systematic review, themes derived were categorized into two life trajectories: before and during repayment. Whereas stress, anxiety, and depression dominated the literature, the review demonstrated that the consequences of student loans extend beyond mental health and negatively affect a person's wellbeing. Self-efficacy emerged as a potential solution.

DISCUSSION AND CONCLUSION

Across countries and samples, the results are uniform and show that student loan burdens certain vulnerable groups more. Findings indicate diversity in mental health measures has resulted into a lack of a unified theoretical framework. Better scales and consensus on commonly used terms will strengthen the literature. Some areas, such as impact of student loans on graduate students or consumers repaying their loans, warrant attention in future research.

COVID-19-Related Stressors and Psychophysical Health Conditions among Italian University Students: A Post Pandemic Insight

The COVID-19 medical emergency has ended worldwide, yet the psychological impact of these years of unprecedented changes on students' lives still needs to be deepened.

METHODS

This study aims to assess and compare COVID-19-related stressors (relationships and academic life; isolation; and fear of contagion) and psychophysical symptoms reported by 637 university students at three times, i.e., April 2020 (n = 197), April 2021 (n = 200), and April 2022 (n = 240). The impact of COVID-19-related stressors on psychophysical symptoms within each time was also tested.

RESULTS

In April 2022, perceived isolation and fear of contagion decreased from the peak registered in April 2021, but stress related to relationships and academic life remained high. An ongoing increase in psychophysical symptoms was found. More than 50% of students reported clinical levels of sleep disorders, depression, psychoticism, and interpersonal sensitivity. In April 2022, students still perceiving stress related to relationships and academic life and isolation were at risk for anxiety, somatization, and sleep disorders. Students still perceiving stress related to fear of contagion were also at risk for depression, obsessive-compulsive symptoms, and psychoticism.

CONCLUSION

The findings emphasized the long-lasting effects of COVID-19-related stress on students' psychophysical health. Interventions must aim at supporting students in dealing with the complex post-pandemic adjustment process.

COVID-19 Pandemic: What We Have Learned on Stress, Technology Use, and Psychological Health Among University Students

Nowadays, the medical COVID-19 emergency is ending worldwide, whereas there is an increasing need to understand the marks and the lessons learned from over two years of unprecedented changes in all life domains. Recent research has highlighted growing rates of psychological suffering among the general population as well as among university students, who were yet well-recognized as a vulnerable population even before the pandemic. The present work drives from university students' experience, and it aims to provide an overview of the key dimensions to take into account, in terms of main risks, changes, challenges, and resources, to develop updated tailored research and interventions promoting psychological health conditions in the current time within and beyond the educational context/university students' population. Implications for research and interventions are highlighted and discussed.

Comparing Naturalistic Mental Health Expressions on Student Loan Debts Using Reddit and Twitter

PURPOSE

The primary objective of this study was to identify patterns in users' naturalistic expressions on student loans on two social media platforms. The secondary objective was to examine how these patterns, sentiments, and emotions associated with student loans differ in user posts indicating mental illness.

MATERIAL AND METHOD

Data for this study were collected from Reddit and Twitter (2009-2020, n = 85,664) using certain key terms of student loans along with first-person pronouns as a triangulating measure of posts by individuals. Unsupervised and supervised machine learning models were used to analyze the text data.

RESULTS

Results suggested 50 topics in reddit finance and 40 each in reddit mental health communities and Twitter. Statistically significant associations were found between mental illness statuses and sentiments and emotions. Posts expressing mental illness showed more negative sentiments and were more likely to express sadness and fear.

DISCUSSION AND CONCLUSION

Patterns in social media discussions indicate both academic and non-academic consequences of having student debt, including users' desire to know more about their debts. Interventions should address the skill and information gaps between what is desired by the borrowers and what is offered to them in understanding and managing their debts. Cognitive burden created by student debts manifest itself on social media and can be used as an important marker to develop a nuanced understanding of people's expressions on a variety of socioeconomic issues. Higher volumes of negative sentiments and emotions of sadness, fear, and anger warrant immediate attention of policymakers and practitioners to reduce the cognitive burden of student debts.

The prevalence of depression among students in higher education institution: a repeated cross-sectional study

Purpose

Undergraduate students are known to be a high-risk group for mental health problems. The purpose of this paper is to constitute a repeated cross-sectional study on the trend of depression over the years and factors associated with depression among undergraduates.

Design/methodology/approach

Cross-sectional data from five surveys between 2013 and 2020 (N = 1,578) among the undergraduates of Universiti Tunku Abdul Rahman, a private university in Kampar Malaysia, were combined. The Depression Anxiety and Stress Scale-21 was used to screen for depression. Cochran’s Armitage test was used to detect trend in depression. Logistic regression, random forest regression and extra gradient boosting regression were used to identify risk factors and classification.

Findings

The prevalence of depressive symptoms was found to be between 26.4% and 36.8% between the years with an average of 29.9%. There was no significant time trend in the prevalence. The risk of depressive symptoms was higher among female students, those who were dependent on family for financial support and those who were stressed.

Practical implications

Periodical screening for depression is warranted for the identification of students at risk for depression. Professional cognitive-behavioral therapies, peer support and consulting services should be made available to the students in need.

Originality/value

Depression among students had been studied widely, but the trend over years remains unexplored, especially in developing countries.

Factors that influence mental health of university and college students in the UK: a systematic review

Background

Worsening mental health of students in higher education is a public policy concern and the impact of measures to reduce transmission of COVID-19 has heightened awareness of this issue. Preventing poor mental health and supporting positive mental wellbeing needs to be based on an evidence informed understanding what factors influence the mental health of students.

Objectives

To identify factors associated with mental health of students in higher education.

Methods

We undertook a systematic review of observational studies that measured factors associated with student mental wellbeing and poor mental health. Extensive searches were undertaken across five databases. We included studies undertaken in the UK and published within the last decade (2010–2020). Due to heterogeneity of factors, and diversity of outcomes used to measure wellbeing and poor mental health the findings were analysed and described narratively.

Findings

We included 31 studies, most of which were cross sectional in design. Those factors most strongly and consistently associated with increased risk of developing poor mental health included students with experiences of trauma in childhood, those that identify as LGBTQ and students with autism. Factors that promote wellbeing include developing strong and supportive social networks. Students who are prepared and able to adjust to the changes that moving into higher education presents also experience better mental health. Some behaviours that are associated with poor mental health include lack of engagement both with learning and leisure activities and poor mental health literacy.

Conclusion

Improved knowledge of factors associated with poor mental health and also those that increase mental wellbeing can provide a foundation for designing strategies and specific interventions that can prevent poor mental health and ensuring targeted support is available for students at increased risk.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13943-x.

A study in University of Ruhuna for investigating prevalence, risk factors and remedies for psychiatric illnesses among students

There is no comprehensive study on the mental health of Sri Lankan undergraduate in higher education, as most existing studies have been done for medical students only. It is unknown how academic and environmental factors contribute for the prevalence of psychiatric illnesses. Further, there is no sufficient information on the student/university based remedies to reduce the psychological distress of students. This research is carried out to find the overall psychological distress, well-being, prevalence percentages of psychiatric illnesses, associated risk factors, and student/university remedies to overcome them. We use standard questionnaires to screen for psychiatric illnesses, and we analyze the responses for our own questionnaire using Binary logistic regression analysis to identify demographic factors, academic factors, and environmental factors causing each mental disorder. We use Pearson correlation coefficient to identify correlation between prevalence of each psychiatric illnesses. All 13 psychiatric illnesses were found with a moderate correlation among diseases having a mean prevalence percentage of 28 and a standard deviation of 14.36, despite the prevalence of well-being factors among students and only 8% are clinically diagnosed. 89% of the students were suffering from at least one psychiatric illness and 68% were found to be psychologically distressed. Sets of overall and individual demographic, academic, and environmental risk factors contributing for the prevalence of a psychiatric illness in general and in particular were identified respectively after a binary logistic regression analysis. 61% of the students don't receive psychiatric help from the university and are using their own remedies. The universities must consider the environmental and academic risk factors associated with psychiatric illnesses and design curriculum, expand resources, and provide counseling services to reduce the impact of risk factors.

The relationship between mental and physical health: a longitudinal analysis with British student

Purpose

Previous studies in the field have highlighted a bidirectional link between mental health and physical health. Students may be at a higher risk of both mental and physical health problems because of unhealthy lifestyle behaviours and the commencement of university occurring at the same mean age of onset for many psychiatric disorders. This study aims to examine how physical health variables influence changes in mental health symptoms, and vice versa, over time, in a sample of British undergraduate students.

Design/methodology/approach

A longitudinal design over a one-year time period. A national sample of 430 British undergraduate students completed measures of mental health and physical health online at up to four time-points across their first two years of university.

Findings

General physical health and energy and fatigue predicted more severe depression, anxiety, stress and poorer general mental health over time. Depression and stress predicted poorer physical functioning over time. Greater anxiety predicted poorer general health and more severe pain over time. General mental health was not predictive of general physical health. Overall, poor general physical health appears to exacerbate mental health symptoms in students to a greater extent than mental health problems lead to a deterioration in physical health.

Originality/value

This study adds a longitudinal design to a field that is usually cross-sectional, as well as a lack of consideration of how this relationship may differ within student samples. Early interventions should integrate physical and mental well-being rather than focus on any single health-related behaviour.

The Acceptability and Initial Effectiveness of “Space From Money Worries”: An Online Cognitive Behavioral Therapy Intervention to Tackle the Link Between Financial Difficulties and Poor Mental Health

Background

Previous research has shown a strong relationship between financial difficulties and mental health problems. Psychological factors such as hope and worry about finances appear to be an important factor in this relationship.

Objective

To develop an online based psychological intervention (Space from Money Worries) to tackle the psychological mechanisms underlying the relationship between poor mental health and financial difficulties, and to conduct an initial evaluation of the acceptability and preliminary efficacy of the intervention.

Materials and Methods

30 participants accessing Increasing Access to Psychological Therapies (IAPT) services completed GAD-7 to measure anxiety and PHQ-9 to measure depression upon signing up to the online intervention and again 4 to 8 weeks after this. Participants also completed a measure of perceived financial distress/wellbeing and a “Money and Mental Health Scale” constructed for the evaluation.

Results

Overall, 77% (n = 23) completed the intervention and follow-up assessments. Intent to Treat Analysis showed that there were statistically significant improvements in symptoms of depression, anxiety, improved perceived financial wellbeing and reduced scores on the money and mental health scale. The vast majority of participants rated each module positively.

Conclusions

Space from Money Worries appears to be acceptable and may lead to improvements in mental health, perceived financial wellbeing and a reduced relationship between financial difficulties and poor mental health. However, future research with a larger sample and a control group are needed to confirm that these changes are due to the intervention.

Prevalence and risk factors for mental health problems in university undergraduate students: A systematic review with meta-analysis

BACKGROUND

Effective targeting of services requires that we establish which undergraduates are at increased risk of mental health problems at university. We aimed to conduct a systematic review and meta-analysis of the prevalence and risk factors for mental health problems in undergraduates.

METHODS

We searched MEDLINE, PsycInfo, EMBASE and the Cochrane Central Register. Eligible studies were assessed using the Quality of Prognostic Studies checklist and narratively synthesised. Pooled prevalence of depression and suicide-related outcomes, and associated risk factors (odds ratios) were estimated using random-effects meta-analyses.

RESULTS

Sixty-six eligible studies of varying quality were included in a narrative synthesis. The pooled prevalence of depression (eight studies; 13,790 participants) was 25% (95% CI 17%, 35%) and the pooled prevalence of suicide-related outcomes (four studies; 2,586 participants) was 14% (95% CI 0%, 44%). Thirteen studies contributed to meta-analytic syntheses of 12 depression-related and four suicide-related risk factors. Presenting with a current mental health problem, negative rumination, parent separation, experiences of sexual harassment and parental depression significantly predicted depression outcomes. Childhood adversity, baseline mental health problems and financial difficulties significantly predicted suicide-related outcomes.

LIMITATIONS

Student mental health is a heterogeneous research area and is hampered by the use of imprecise terms, both for describing risk factors and mental health outcomes. These inconsistencies limit the extent to which datasets can be meaningfully synthesised.

CONCLUSIONS

This review evidences the importance of a range of risk factors for poor undergraduate mental health. Interventions should be developed to target modifiable risk factors and prevent poor mental health outcomes. Systematic review registration: PROSPERO registration CRD42019144927.

How is paranoia experienced in a student population? A qualitative study of students scoring highly on a paranoia measure

OBJECTIVES

Recent studies have suggested that students may experience high levels of paranoia. This study aimed to explore both experiences of paranoia and coping strategies in students scoring at high levels on a measure of paranoia.

DESIGN

This was a qualitative study which utilized a quantitative measure to identify potential participants.

METHODS

From an overall sample of 174 London-based university students in the United Kingdom, a sub-sample of 31 students with the highest total scores on the Green et al. Paranoid Thoughts Scale were invited to interview resulting in interviews with seven students (six female and one male) aged between 20 and 36 (M = 28.14). A thematic analysis of the interview transcripts was conducted from a critical realist standpoint.

RESULTS

Two key foci structured the analysis: perceived causal influences on paranoia (comprised of 'historical contexts fostering mistrust'; 'finding a social situation strange'; 'anticipating threat'; and 'evaluating the concern') and living with paranoia (comprised of 'effects on everyday life' and 'trying to minimize the effects of paranoia and regaining control').

CONCLUSIONS

Key aspects of the findings discussed in the context of the literature include paranoia as a threat heuristic; the role of internal and external dialogues; the influence of gender on content; and the importance of meaning in life as a coping resource.

PRACTITIONER POINTS

Paranoia may be a significant issue for some students. Paranoia needs to be seen in the context of past aversive experiences. Dialogical approaches may be useful in developing new therapeutic narratives. Valued social roles, activities, and responsibilities may be an important coping resource.

Financial stress and mental health among higher education students in the UK up to 2018: rapid review of evidence

Introduction

In the United Kingdom and many other countries, debt accrued during higher education has increased substantially in recent decades. The prevalence of common mental health problems has also increased alongside these changes. However, it is as yet unclear whether there is an association between financial stress and mental health among higher education students.

Methods

We conducted a rapid review of the peer-reviewed scientific literature. Eligible studies were English-language publications testing the association between any indicator of financial stress and mental health among higher education students in the UK. Papers were located through a systematic search of PsychINFO, PubMed and Embase up to November 2018.

Results

The search strategy yielded 1272 studies—9 met the inclusion criteria. A further two were identified through hand-searching. The median sample size was 408. Only three of seven studies found an association between higher debt and worse mental health. There was a consistent cross-sectional relationship between worse mental health and both experience of financial difficulties (seven of seven studies) and debt worry/financial concern (four of five studies), though longitudinal evidence was mixed and limited to six studies.

Conclusion

Among higher education students in the UK, there is little evidence that the amount of debt is associated with mental health. However, more subjective measures of increased financial stress were more consistently associated with worse mental health outcomes. Nevertheless, the identified evidence was judged to be weak; further research is required to examine whether links between financial stress and mental health outcomes are robust and causal in nature.

Financial difficulties in bipolar disorder part 2: psychological correlates and a proposed psychological model

OBJECTIVES

A number of psychological variables have been shown to be prominent in bipolar disorder. However, no research has looked at the relationship between financial difficulties and psychological factors in bipolar disorder.

AIMS

This study aims to look at the relationship between financial difficulties and psychological factors in bipolar disorder.

METHOD

Fifty-four participants with diagnosis of bipolar disorder in an adult secondary care NHS mental health service completed the questionnaire pack which included measures examining financial variables including difficulty paying bills and perceived financial wellbeing. Questionnaires measured self-esteem, impulsivity, mindfulness and dysfunctional attitudes.

RESULTS

Financial difficulties cross-sectionally were related to a number of psychological variables such as mindfulness and impulsivity. Over time, the strongest effects were for compulsive spending which was increased over time by higher dependency and achievement cognitions, lower mindfulness and lower self-esteem. Poor perceived financial wellness lower self-esteem over time. A psychological model incorporating these and related findings is presented.

CONCLUSION

Psychological factors appear to be related to financial difficulties in bipolar disorder. Future research is needed to confirm the model presented here and develop interventions.