Background: University students experience high rates of stress and mental illness; however, few studies have comprehensively examined the impact of academic and non-academic stressors on student mental health. Similarly, there has been little focus on the role of social groups in protecting against mental distress in this young adult group. Aim: To identify the key social determinants of mental health symptoms in a student population. Methods: Using an online survey, we administered measures of social connectedness and mental health symptoms alongside academic and non-academic stressors to a large sample of UK university students. Results: Loneliness was the strongest overall predictor of mental distress, while assessment stress was the most important academic predictor. Strong identification with university friendship groups was most protective against distress relative to other social identities, and the beneficial impact of identification on symptoms was mediated by reduced loneliness. Conclusions: The study highlights the benefits of establishing strong social connections at university and the importance of minimising stress associated with assessment tasks.

Significance: Pathogens, and antipathogen behavioral strategies, affect myriad aspects of human behavior. Recent findings suggest that antipathogen strategies relate to political attitudes, with more ideologically conservative individuals reporting more disgust toward pathogen cues, and with higher parasite stress nations being, on average, more conservative. However, no research has yet adjudicated between two theoretical accounts proposed to explain these relationships between pathogens and politics. We find that national parasite stress and individual disgust sensitivity relate more strongly to adherence to traditional norms than they relate to support for barriers between social groups. These results suggest that the relationship between pathogens and politics reflects intragroup motivations more than intergroup motivations.

There is widespread interest in whether psychosis exists on a continuum with healthy functioning. Previous research has implied that paranoia, a common symptom of psychosis, exists on a continuum but this has not been investigated using samples including both patients and non-patients and up-to-date taxometric methods. To assess the latent structure of paranoia in a diverse sample using taxometric methods. We obtained data from 2836 participants, including the general population as well as at-risk mental state and psychotic patients using the P-scale of the Paranoia and Deservedness Scale. Data were analysed using three taxometric procedures, MAMBAC, MAXEIG and L-MODE (Ruscio, 2016), and two sets of paranoia indicators (subscales and selected items from the P scale), including and excluding the patient groups. Eleven of the twelve analyses supported a dimensional model. Using the full sample and subscales as indicators, the MAMBAC analysis was ambiguous. Overall, the findings converged on a dimensional latent structure. A dimensional latent structure of paranoia implies that the processes involved in sub-clinical paranoia may be similar to those in clinical paranoia.

Humans possess a basic need to belong and will join groups even when they provide no practical benefit. Paranoid symptoms imply a disruption of the processes involved in belonging and social trust. Past research suggests that joining social groups and incorporating those groups into one’s identity (social identification) promotes positive self-views and better physical and mental health. However, no research has investigated whether social identity is associated with paranoia, nor the mechanisms by which this effect may emerge. Here, we examined the relationship between social identity and mental health (paranoia, auditory verbal hallucinations [AVHs], and depression), and tested the mediating role of self-esteem. In study 1, we analyzed data collected from 4319 UK residents as part of the NIHR CLAHRC NWC Household Health Survey. Study 2 comprised data collected from 1167 students attending a large UK university. The studies provided convergent evidence that social identification reduces symptoms of paranoia and depression by furnishing people with self-esteem. There was no consistent effect of social identification on AVHs. People developing mental health assessments, treatments, and policies are encouraged to consider the notion that joining and identifying with social groups may reduce people’s risk of paranoia and depression.

Different aspects of the neighborhood social environment have been linked with mental ill health; however, the mechanisms underlying these associations remain poorly understood because of the number and complexity of the components involved. We used a novel statistical approach, network analysis, to explore the complex associations between neighborhood social cohesion, social disorder, and mental-health symptoms in a sample of 3,670 adults from an economically deprived region of the United Kingdom (mean age = 49.34 years, SD = 18.87; 57% female). Elasso regularized networks were estimated, and network comparisons were conducted by level of deprivation. Mental-health symptoms and neighborhood components formed relatively distinct clusters of items. These domains were linked primarily by paranoia, although only in the most deprived group. Drunken/rowdy behavior was particularly influential within the neighborhood cluster; therefore, policies aimed at reducing such disruptive behavior could have positive knock-on effects for social cohesion and mental health.

Although it has been well established that cyberbullying leads to mental health problems, less is known about the factors that confer resilience to the adverse effects of cyberbullying among young people. To address this gap, adolescents aged 13–19 years (n = 476) completed a survey measuring cyberbullying victimisation, attachment styles, perceived social support, coping styles, and mental distress. Compared to non-victims, victims of cyberbullying experienced higher levels of depression and anxiety and endorsed more self-statements indicative of attachment anxiety. Peer support, security in attachment relationships, and the endorsement of positive coping strategies attenuated the positive relationship between cyberbullying victimisation and mental health difficulties. Family support did not appear to buffer adolescents from mental distress in this context. However, family support was the strongest bivariate predictor of reduced mental distress. Although peer relations should be the target of intervention programmes within school settings, the findings highlight the importance of including families in cyberbullying prevention programmes.