The Role of Total White Blood Cell Count in Antipsychotic Treatment for Patients with Schizophrenia.

BACKGROUND: Total white blood cell count (TWBCc), an index of chronic and low-grade inflammation, is associated with clinical symptoms and metabolic alterations in patients with schizophrenia. The effect of antipsychotics on TWBCc, predictive values of TWBCc for drug response, and role of metabolic alterations require further study. METHODS: Patients with schizophrenia were randomized to monotherapy with risperidone, olanzapine, quetiapine, aripiprazole, ziprasidone, perphenazine or haloperidol in a 6-week pharmacological trial. We repeatedly measured clinical symptoms, TWBCc, and metabolic measures (body mass index, blood pressure, waist circumference, fasting blood lipids and glucose). We used mixed-effect linear regression models to test whether TWBCc can predict drug response. Mediation analysis to investigate metabolic alteration effects on drug response. RESULTS: At baseline, TWBCc was higher among patients previously medicated. After treatment with risperidone, olanzapine, quetiapine, perphenazine, and haloperidol, TWBCc decreased significantly (p < 0.05). Lower baseline TWBCc predicted greater reductions in Positive and Negative Syndrome Scale (PANSS) total and negative scores over time (p < 0.05). We found significant mediation of TWBCc for effects of waist circumference, fasting low-density lipoprotein cholesterol, and glucose on reductions in PANSS total scores and PANSS negative subscale scores (p < 0.05). CONCLUSION: TWBCc is affected by certain antipsychotics among patients with schizophrenia, with decreases observed following short-term, but increases following long-term treatment. TWBCc is predictive of drug response, with lower TWBCc predicting better responses to antipsychotics. It also mediates the effects of certain metabolic measures on improvement of negative symptoms. This indicates that the metabolic state may affect clinical manifestations through inflammation.

Childhood Adversity Determines the Syndemic Effects of Violence, Substance Misuse, and Sexual Behavior on Psychotic Spectrum Disorder Among Men.

BACKGROUND AND HYPOTHESIS: Childhood adversity (CA) increases the risk for several adult psychiatric conditions. It is unclear why some exposed individuals experience psychotic symptoms and others do not. We investigated whether a syndemic explained a psychotic outcome determined by CA. STUDY DESIGN: We used self-reported cross-sectional data from 7461 British men surveyed in different population subgroups. Latent class analysis (LCA) identified categorical psychopathological outcomes. LCs were tested by interaction analysis between syndemic factors derived from confirmatory factor analysis according to CA experiences. Pathway analysis using partial least squares path modeling. RESULTS: A 4-class model with excellent fit identified an LC characterized by both psychotic and anxiety symptoms (class 4). A syndemic model of joint effects, adducing a 3-component latent variable of substance misuse (SM), high-risk sexual behavior (SH), violence and criminality (VC) showed synergy between components and explained the psychotic outcome (class 4). We found significant interactions between factor scores on the multiplicative scale, specific only to class 4 (psychosis), including SM × SH, SH × VC, and SM × VC (OR > 1, P < .05); and on the additive scale SM × SH (relative excess risk due to interaction >0, P < .05), but only for men who experienced CA. CONCLUSION: Multiplicative synergistic interactions between SM, SH, and VC constituted a mechanism determining a psychotic outcome, but not for anxiety disorder, mixed anxiety disorder/depression, or depressive disorder. This was specific to men who had experienced CA along direct and syndemic pathways. Population interventions should target SM and VC in adulthood but prioritize primary prevention strategies for CA.

Association of elevated levels of peripheral complement components with cortical thinning and impaired logical memory in drug-naïve patients with first-episode schizophrenia.

Schizophrenia has been linked to polymorphism in genes encoding components of the complement system, and hyperactive complement activity has been linked to immune dysfunction in schizophrenia patients. Whether and how specific complement components influence brain structure and cognition in the disease is unclear. Here we compared 52 drug-naïve patients with first-episode schizophrenia and 52 healthy controls in terms of levels of peripheral complement factors, cortical thickness (CT), logical memory and psychotic symptoms. We also explored the relationship between complement factors with CT, cognition and psychotic symptoms. Patients showed significantly higher levels of C1q, C4, factor B, factor H, and properdin in plasma. Among patients, higher levels of C3 in plasma were associated with worse memory recall, while higher levels of C4, factor B and factor H were associated with thinner sensory cortex. These findings link dysregulation of specific complement components to abnormal brain structure and cognition in schizophrenia.

Multivariate classification based on large-scale brain networks during early abstinence predicted lapse among male detoxified alcohol-dependent patients.

Identifying biomarkers to predict lapse of alcohol-dependence (AD) is essential for treatment and prevention strategies, but remains remarkably challenging. With an aim to identify neuroimaging features for predicting AD lapse, 66 male AD patients during early-abstinence (baseline) after hospitalized detoxification underwent resting-state functional magnetic resonance imaging and were then followed-up for 6 months. The relevance-vector-machine (RVM) analysis on baseline large-scale brain networks yielded an elegant model for differentiating relapsing patients (n = 38) from abstainers, with the area under the curve of 0.912 and the accuracy by leave-one-out cross-validation of 0.833. This model captured key information about neuro-connectome biomarkers for predicting AD lapse.

Decreased plasma neuropeptides in first-episode schizophrenia, bipolar disorder, major depressive disorder: associations with clinical symptoms and cognitive function.

Background: There is an urgent need to identify differentiating and disease-monitoring biomarkers of schizophrenia, bipolar disorders (BD), and major depressive disorders (MDD) to improve treatment and management. Methods: We recruited 54 first-episode schizophrenia (FES) patients, 52 BD patients, 35 MDD patients, and 54 healthy controls from inpatient and outpatient clinics. α-Melanocyte Stimulating Hormone (α-MSH), ß-endorphin, neurotensin, orexin-A, oxytocin, and substance P were investigated using quantitative multiplex assay method. Psychotic symptoms were measured using the Brief Psychiatric Rating Scale (BPRS) and Positive and Negative Syndrome Scale (PANSS), manic symptoms using the Young Mania Rating Scale (YMRS), and depressive symptoms using 17 item-Hamilton Depression Rating Scale (HAMD). We additionally measured cognitive function by using a battery of tests given to all participants. Results: α-MSH, neurotensin, orexin-A, oxytocin, and substance P were decreased in the three patient groups compared with controls. Neurotensin outperformed all biomarkers in differentiating patient groups from controls. There were no significant differences for 6 neuropeptides in their ability to differentiate between the three patient groups. Higher neurotensin was associated with better executive function across the entire sample. Lower oxytocin and higher substance p were associated with more psychotic symptoms in FES and BD groups. ß-endorphin was associated with early morning wakening symptom in all three patient groups. Conclusion: Our research shows decreased circulating neuropeptides have the potential to differentiate severe mental illnesses from controls. These neuropeptides are promising treatment targets for improving clinical symptoms and cognitive function in FES, BD, and MDD.

Status of mandatory treatment of mentally ill offenders without criminal responsibility in China: Information from 5,262 mandatory treatment judgments.

Background: To avoid public health risks, all governments ensure monitoring and treatment of mentally ill persons if they offend and assess their level of criminal responsibility. The Criminal Procedure Law of the People's Republic of China (2013) instituted special procedures. However, there are few articles in English which explain the implementation of mandatory treatment procedures in China. Methods: We collected 5,262 qualified documents from 2013 to 2021 from the China Judgments Documents Online. We analyzed social demographic characteristics, trial-related information as well as the mandatory treatment-related content, to investigate the mandatory treatment of China's mentally ill offenders without criminal responsibility, from 2013 to 2021. Simple descriptive statistics and chi-square tests were used to compare differences among several types of documents. Results: There was an overall change trend of the number of documents: increasing year by year from 2013 to 2019 after the implementation of the new law, but with sharp decrease in 2020 and 2021 during covid-19 pandemic. From 2013 to 2021, a total of 3,854 people had applications made for mandatory treatment, of whom 3,747 (97.2%) were given mandatory treatment, 107 (2.8%) had applications rejected. "Schizophrenia and other psychotic disorders" was the most common diagnosis in both groups and all offenders receiving mandatory treatment (3,747, 100.0%) were considered to have no criminal responsibility. A total of 1,294 patients had applications made for relief of mandatory treatment, of whom 827 (63.9%) were subsequently approved for relief, 467 (36.1%) were rejected. A total of 118 patients had applications for relief two or more times, and 56 (47.5%) were finally relieved. Conclusion: Our study presents the Chinese model of a criminal mandatory treatment system to the international community which has been in operation since the implementation of the new law. Legislatory changes and covid-19 pandemic can have effect on the number of mandatory treatment cases. Patients, their close relatives and mandatory treatment institutions have the right to apply for relief from mandatory treatment, but the final decision in China is taken by the court.

Association of the plasma complement system with brain volume deficits in bipolar and major depressive disorders.

BACKGROUND: Inflammation plays a crucial role in the pathogenesis of major depressive disorder (MDD) and bipolar disorder (BD). This study aimed to examine whether the dysregulation of complement components contributes to brain structural defects in patients with mood disorders. METHODS: A total of 52 BD patients, 35 MDD patients, and 53 controls were recruited. The human complement immunology assay was used to measure the levels of complement factors. Whole brain-based analysis was performed to investigate differences in gray matter volume (GMV) and cortical thickness (CT) among the BD, MDD, and control groups, and relationships were explored between neuroanatomical differences and levels of complement components. RESULTS: GMV in the medial orbital frontal cortex (mOFC) and middle cingulum was lower in both patient groups than in controls, while the CT of the left precentral gyrus and left superior frontal gyrus were affected differently in the two disorders. Concentrations of C1q, C4, factor B, factor H, and properdin were higher in both patient groups than in controls, while concentrations of C3, C4 and factor H were significantly higher in BD than in MDD. Concentrations of C1q, factor H, and properdin showed a significant negative correlation with GMV in the mOFC at the voxel-wise level. CONCLUSIONS: BD and MDD are associated with shared and different alterations in levels of complement factors and structural impairment in the brain. Structural defects in mOFC may be associated with elevated levels of certain complement factors, providing insight into the shared neuro-inflammatory pathogenesis of mood disorders.

Relationships Between Psychopathy and DSM Personality Disorders in Men and Women.

The current investigation asseses the relationship between DSM personality disorders (PDs) and PCL psychopathy in a community study: the Cambridge Study in Delinquent Development (CSDD). The children (Generation 3) of the original CSDD males (Generation 2) were assessed for PDs and psychopathy in early adulthood. Generation 3 consisted of both males (n = 291) and females (n = 260) and allowed for analyses separately for each gender. Cluster B PDs showed the strongest relationships with psychopathy, especially Borderline and Antisocial PD. Histrionic PD did not appear to have strong relationships with psychopathy, and there were no indications that histrionic PD overlaps with psychopathy in females as past research has hypothesized. There were however some other gender-specific relationships in the analyses, most notably between psychopathy and schizoid and schizotypal PDs for females, and between psychopathy and paranoid PD in males. Implications for the understanding of psychopathy in males and females are discussed.

Effects of Stress in Adaptation to Undergraduate Life on Psychiatric Morbidity: Mediating Effects of Early Trauma and Adverse Family Factors.

Purpose: University students experience high levels of stress, and the prevalence of depression is higher than in the general population. The reason is not clear. More effective interventions and better prevention are needed. Methods: We did annual cross-sectional surveys of Chinese undergraduates 2014-2018 (mean age 18.7 [SD 2.1], N = 39,573). We measured adaptation to university life using the Adolescent Self-rating Life Events Checklist (ASLEC) and common mental disorders using standardized self-report instruments. Regression analyses identified associations between childhood maltreatment, current family problems, stress in adaptation to undergraduate life, and psychiatric morbidity. Mediation analyses further tested relationships between these factors. Results: Childhood maltreatment, current family problems, stress in adaptation, and psychiatric morbidity were all significantly associated with each other. The strongest association between childhood experiences and psychiatric morbidity was for sexual abuse and depression (OR = 3.39, 95%CI: 2.38-4.83, p < 0.001) and between stress from adaptation and somatic disorder (OR = 4.54, 95%CI: 3.62-5.68, p < 0.001). Associations between childhood maltreatment and stress from university life were partly mediated by psychiatric morbidity. Associations between family problems and psychiatric morbidity were mediated by stress from university life. Conclusions: Stress from adaptation to university life and pressures from academic study exert stronger effects on psychiatric morbidity among students than childhood traumatic experiences and current family problems, although these factors are closely interrelated. Mental health services for students should focus on adaptation to university life and pressures from academic study as well as external factors of childhood trauma and family problems.

Data-driven study on resting-state functional magnetic resonance imaging during early abstinence of alcohol dependence in male patients and its predictive value for relapse.

BACKGROUND: Alcohol dependence is a mental disorder with a high relapse rate. However, specific neuroimaging biomarkers have not been determined for alcohol dependence and its relapse. We conducted data-driven research to investigate resting-state functional magnetic resonance imaging (rs-fMRI) during early abstinence from alcohol dependence and its potential ability to predict relapse. METHODS: Participants included 68 alcohol-dependent patients and 68 healthy controls (HCs). The regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF) were compared between the alcohol dependence group and the HCs and between the relapse group and the nonrelapse group. The brain regions that presented significantly different ReHo and/or fALFF between the alcohol-dependent patients and HCs and/or between the relapsed and nonrelapsed patients were selected as the seeds to calculate the functional connectivities (FCs). RESULTS: During a 6-month follow-up period, 52.24% of alcohol-dependent patients relapsed. A regression model for differentiating alcohol-dependent patients and HCs showed that reductions in ReHo in the left postcentral region, fALFF in the right fusiform region, and FC in the right fusiform region to the right middle cingulum were independently associated with alcohol dependence, with an area under the receiver operating characteristic curve (AUC) of 0.841. The baseline FC of the left precentral to the left cerebellum of the relapse group was significantly lower than that of the nonrelapse group. The AUC of this FC to predict relapse was 0.774. CONCLUSIONS: Our findings contribute to advancing research on the neurobiological etiology and predictive biomarkers for relapse associated with alcohol dependence.

A bidirectional association between internet addiction and depression: A large-sample longitudinal study among Chinese university students.

BACKGROUND: Internet addiction (IA) is associated with adverse consequences, especially for younger people. Evidence indicates that IA is associated with depression, but no studies have yet investigated potential common vulnerability between them. METHODS: IA (measured by the Young's 20-item Internet Addiction Test Scale) and depressive symptoms (measured by the Patient Health Questionnaire-9 Scale) among 12 043 undergraduates were surveyed at baseline and at a respective 12 month follow-up for each participant. Application of a cross-lagged panel model approach (CLPM) revealed an association between IA and depression after adjusting for demographic variables. RESULTS: Rates of baseline IA and depression were 5.47% (95% CI: 5.07%, 5.88%) and 3.85% (95% CI: 3.51%, 4.20%), respectively; increasing to 9.47% (95% CI: 8.94%, 9.99%) and 5.58% (95% CI: 5.17%,5.99%), respectively, at follow-up. Rates of new-incidences of IA and depression over 12 months were 7.43% (95% CI: 6.95%, 7.91%) and 4.47% (95% CI: 4.09%, 4.84%), respectively. Models in the present analysis revealed that baseline depression had a significant net-predictive effect on follow-up IA, and baseline IA had a significant net-predictive effect on follow-up depression. LIMITATIONS: The follow-up survey response rate was moderate (54.69%) in this analysis of university students. Moreover, the IAT-20 scale did not allow differentiate between specific forms of Internet activity. CONCLUSIONS: Common vulnerability and bidirectional cross-causal effects may both contribute to the association between IA and depression, with common vulnerability likely playing a more significant role than cross-causal effects.

Intergenerational transmission of personality disorder severity and the role of psychosocial risk factors.

BACKGROUND: Familial influences on the development of many psychopathologies are well recognised, yet the psychosocial risk factors that could help explain apparently intergenerational continuities of personality disorder (PD) are less well understood. AIMS: To establish whether there is an association between the severity of PD in men and their offspring in a community cohort, and whether factors recognised as having the potential to increase risk of psychopathology mediate this. METHODS: Participants in the Cambridge Study in Delinquent Development (n = 452 dyads) were assessed using the Tyrer and Johnson model of PD severity. Severe PD was defined as antisocial PD plus at least one other PD from a different cluster. Original participants were assessed by interview and their offspring by screening questionnaire. Chi-square tests and mediation models were used to investigate the intergenerational continuity of PD severity and its relationship with psychosocial risk factors. RESULTS: An association between severe PD in fathers and severe PD in their offspring was confirmed, regardless of whether the offspring were male or female. Whilst preliminary tests suggested that employment problems, poor parental supervision and family disruption we associated with severe PD in daughters, mediation analysis suggested that these variables had very little effect once severity of father's disorder was in the model. CONCLUSIONS: Psychosocial risk factors appear to play a limited role in the intergenerational transmission of PD severity, although future studies should take account of interaction data, for example, quality and quantity of paternal interaction given a child's temperamental traits.

Gang Members, Gang Affiliates, and Violent Men: Perpetration of Social Harms, Violence-Related Beliefs, Victim Types, and Locations.

Adult gang involvement attracts little empirical attention, so little is known about how they compare to nongang violent men in social harms beyond gang contexts. This study, based on unpublished data of 1,539 adult males, aged 19 to 34, from the Coid et al. national survey, compared gang members' (embedded in a gang; n = 108), affiliates' (less embedded in a gang; n = 119), and violent men's (no gang association; n = 1,312) perpetration of social harms by assessing their violence-related dispositions and beliefs, victim types, and locations of violence. Results showed that compared with violent men, gang members and affiliates were equally more likely to: cause social harms to a wider range of victims, including family and friends; seek violence; be excited by violence; and carry weapons. Gang members and affiliates were equally more likely than violent men to be violent at home, in friends' homes, and at work; they also thought about hurting people, but felt regret for some of their violence. A decreasing gradient was identified in gang members' (highest), affiliates' (next highest) and violent men's (lowest) beliefs in violent retaliation when disrespected, the use of violence instrumentally and when angry, and worry about being violently victimized. Implications of findings are that interventions need to address anger issues across all levels of adult gang membership. Importantly, adult gang members' regrets regarding violence and anxiety about being violently victimized could be key factors that interventions could use to help them relinquish their gang involvement.

Testing extra-linearity across a psychosis continuum.

BACKGROUND: It is unclear whether psychotic experiences (PEs) gradually merge into states of clinical psychosis along a continuum which correspond to a dimensional classification or whether latent classes appear above a certain severity threshold which correspond better to diagnostic categories of psychosis. METHODS: Annual cross-sectional surveys, 2014-19, among Chinese undergraduates (N = 47,004) measured PEs, depression and etiological risk factors using standardized self-report instruments. We created a psychosis continuum with five levels and tested linear and extra-linear contrasts in associated etiological risk factors, before and after adjustment for depression. We carried out latent class analysis. RESULTS: Categorical expression of psychosis, including hallucinations and delusions, nuclear symptoms, and nuclear symptoms and depression were found at severe level 5. Etiological risk factors which impacted linearly across the continuum were more common for depression. Child maltreatment impacted extra-linearly on both psychosis and depression. Family history of psychosis impacted linearly on psychosis; male sex and urban birth impacted extra-linearly and were specific for psychosis. Four latent classes were found, but only at level 5. These corresponded to nuclear schizophrenia symptoms, nuclear schizophrenia and depressive symptoms, severe depression, and an unclassified category with moderate prevalence of PEs. CONCLUSION: Quantitative and qualitative changes in the underlying structure of psychosis were observed at the most severe level along a psychosis continuum, where four latent classes emerged. These corresponded to existing categorical classifications but require confirmation with clinical interview. PEs are non-specific and our findings suggest some are on a continuum with depression, whilst others are on a continuum with non-affective psychosis. Differing patterns of impact from etiological risk factors across the spectrum of psychopathology determine outcome at the most severe level of these continua.

Impact of urban birth and upbringing on expression of psychosis in a Chinese undergraduate population.

BACKGROUND: Urban birth and upbringing show consistent associations with psychotic illness but the key urban exposures remain unknown. Associations with psychotic-like experiences (PEs) are inconsistent. These could be confounded by common mental disorders associated with PEs. Furthermore, associations between PEs and urban exposures may not extrapolate to psychotic disorders such as schizophrenia. METHODS: Annual cross-sectional surveys among first year Chinese undergraduates 2014-2019 (n = 47,004). Self-reported, hierarchical categorisation of psychosis: from psychoticism, paranoid ideation, schizotypal symptoms, nuclear syndrome using SCL-90-R, to clinical diagnosis of schizophrenia. Depressive symptoms using PHQ 9. Dissociative symptoms and posttraumatic stress disorder (PTSD) measured using PCL-C. Etiological factors of family history and childhood disadvantage. We studied effects of urban birth, urban living and critical times of exposure in childhood on psychosis phenotypes. RESULTS: Associations with urbanicity were found only after adjustments for depression. Urban birth was associated with paranoia (AOR 1.34, 1.18-1.53), schizotypal symptoms (AOR 1.59, 1.29-1.96), and schizophrenia (AOR 2.07, 1.10-3.87). The same phenotypes showed associations with urban residence > 10 years. Only schizophrenia showed an association with urban exposure birth-3 years (AOR 7.01, 1.90-25.86). Child maltreatment was associated with both psychosis and depression. Urbanicity measured across the total sample did not show any associations with demography, family history of psychosis, or child maltreatment. Sensitivity analysis additionally adjusting for dissociative symptoms and PTSD showed the same pattern of findings. CONCLUSIONS: Urban birth and urban living showed a hierarchical pattern of increasing associations from paranoid ideation to schizotypal disorder to schizophrenia, confirming that associations for psychotic experiences could be extrapolated to schizophrenia, but only after adjusting for confounding from depression, dissociative symptoms and PTSD. Several etiological factors were the same for psychosis and depression. Future studies of PEs should adjust for confounding from common mental disorders and dissociative symptoms. Effects of urbanicity on psychosis were not explained by demography, family history of mental disorder, or child maltreatment.

Assessing protective factors to prevent post-discharge violent behaviour: Towards an assets-based approach for clinical risk management.

Medium secure forensic psychiatric units (MSUs) in the UK aim to be recovery-oriented to enable discharge to community-based services. Risk assessments are key to discharge planning, but clinical practice tends to focus on risk factors for violence rather than protective factors associated with a decrease in risk. The aims of this study were to investigate the reliability and validity of the Structured Assessment of Protective Factors (SAPROF) as a useful measure to support an assets-based approach when planning discharge from MSUs. A prospective cohort follow-up design was chosen for this study using a confidential inquiry design to ensure a total sample of all discharges. All forensic patients discharged from 32 NHS MSUs over a 12-month period were assessed at discharge and followed-up at six and 12 months post discharge. The occurrence and frequency of post-discharge violence were compared with discharge SAPROF scores. The inter-rater reliability between SAPROF raters was very high and the SAPROF significantly predicted community violence and scores were strongly correlated with violence frequency. The higher the SAPROF score the higher the protection against violence and the risk significantly diminished. Assessing protective factors is essential to identify assets and prevent violence with a focus on what makes somebody safe. This study supports the use of the SAPROF to inform discharge planning. Cultivating protective factors is likely to be motivating for patients and the SAPROF can provide an objective, reliable measure of internal, motivational and external assets that reduce risk and support defensible decision making at discharge.

Using epidemiological evidence to forecast population need for early treatment programmes in mental health: a generalisable Bayesian prediction methodology applied to and validated for first-episode psychosis in England.

Background: Mental health policy makers require evidence-based information to optimise effective care provision based on local need, but tools are unavailable. Aims: To develop and validate a population-level prediction model for need for early intervention in psychosis (EIP) care for first-episode psychosis (FEP) in England up to 2025, based on epidemiological evidence and demographic projections. Method: We used Bayesian Poisson regression to model small-area-level variation in FEP incidence for people aged 16-64 years. We compared six candidate models, validated against observed National Health Service FEP data in 2017. Our best-fitting model predicted annual incidence case-loads for EIP services in England up to 2025, for probable FEP, treatment in EIP services, initial assessment by EIP services and referral to EIP services for 'suspected psychosis'. Forecasts were stratified by gender, age and ethnicity, at national and Clinical Commissioning Group levels. Results: A model with age, gender, ethnicity, small-area-level deprivation, social fragmentation and regional cannabis use provided best fit to observed new FEP cases at national and Clinical Commissioning Group levels in 2017 (predicted 8112, 95% CI 7623-8597; observed 8038, difference of 74 [0.92%]). By 2025, the model forecasted 11 067 new treated cases per annum (95% CI 10383-11740). For every 10 new treated cases, 21 and 23 people would be assessed by and referred to EIP services for suspected psychosis, respectively. Conclusions: Our evidence-based methodology provides an accurate, validated tool to inform clinical provision of EIP services about future population need for care, based on local variation of major social determinants of psychosis.

A syndemic of psychiatric morbidity, substance misuse, violence, and poor physical health among young Scottish men with reduced life expectancy.

BACKGROUND: Scotland has the shortest life expectancy in Western Europe, driven by high rates of cancer, suicides, alcohol-related causes and drug-related poisonings. These disparities cannot be explained solely by socioeconomic deprivation. Our aim was to investigate whether a syndemic in a socioeconomically deprived area of Glasgow might account for premature mortality among men. METHODS: We analysed data from two cross-sectional population surveys: a national sample of 1916 British men and another of 765 men in Glasgow East. The survey included men aged 18-34, and was undertaken in 2011 to study correlates of violence. Questionnaires covered current physical health, psychiatric symptoms, substance misuse, and crime and violence. Syndemic components were identified using confirmatory factor analysis. Associations and synergistic interactions between these variables and health status were estimated using logistic regression. RESULTS: An aggregation of multiple health conditions and health-related behaviours was found in Glasgow East. A syndemic model of joint effects, adducing a four-component latent variable (violence, substance dependence, psychiatric morbidity and a diathesis of biological/behavioural risk) showed synergy between components and explained persistent disparities in poor physical health/chronic health conditions. Effect modification was found between the general syndemic factor and contextual variables at individual and social environmental level according to location. CONCLUSIONS: Syndemic effects from synergistic interactions were confirmed between psychiatric morbidity, substance misuse, violence, and biological/behavioural risk for physical health. A hypothetical model was developed to explain how the syndemic leads to potentially life-threatening risks to young men, both currently and as precursors of physical health conditions which may shorten their lives in the future.