Search for protective factors for psychosis - a population-based sample with special interest in unaffected individuals with parental psychosis

Utilizing structural MRI and unsupervised clustering to differentiate schizophrenia and Alzheimer's disease in late-onset psychosis

Late-onset psychosis (LOP) represents a highly heterogeneous and understudied condition, with potential origins ranging from atypically late onset of schizophrenia (SCZ) to Alzheimer's Disease (AD). Despite the clinical necessity of differentiating these conditions to guide effective treatment, achieving an accurate diagnosis remains challenging. This study aimed to utilize data-driven analyses of structural magnetic resonance imaging (MRI) to distinguish between these diagnostic possibilities. Utilizing publicly available datasets of MRI scans from 699 healthy control (HC) participants and 469 patients diagnosed with SCZ or AD, our analysis focused on bilateral subcortical volumetric measures in the caudate, hippocampus, putamen, and amygdala. We first trained an unsupervised K-means clustering algorithm based on SCZ and AD patients and achieved a clustering accuracy of 81 % and an area under curvature (AUC) of 0.79 in distinguishing between these two groups. Subsequently, we calculated the Euclidean distance between the AD and SCZ cluster centroids for each of ten patients with unexplained onset of psychosis after age 45 from a clinical MRI registry. Six patients were classified as AD and four as SCZ. Our findings revealed that among LOP participants, those classified in the SCZ cluster exhibited significantly greater right putamen volumes compared to those in the AD cluster (p < 0.0025). There were also intriguing clinical differences. While we do not have diagnostic biomarker information to confirm these classifications, this study sheds light on the heterogeneity of psychoses in late life and illustrates the potential use of widely available structural MRI and data-driven methods to enhance diagnostic accuracy and treatment outcomes for LOP patients.

Risk and protective factors for recovery at 3-year follow-up after first-episode psychosis onset: a multivariate outcome approach

PURPOSE

Recovery in people with first-episode psychosis (FEP) remains a major issue. When risk factors are studied in relation to the disorder, potential protective factors should also be considered since they can modulate this relationship. This study is aimed at exploring which premorbid and baseline characteristics are associated with a good and poor global recovery in patients with FEP at 3-year follow-up.

METHODS

We categorized patients' outcome by using a Latent Class Analysis (LCA) considering a multimodal set of symptomatic and functional outcomes. A Mixed effects Models Repeated Measures analysis of variance (MMRM) was used to highlight group differences over time on symptomatic and functional outcomes assessed during the 3-year follow-up.

RESULTS

A total of 325 patients with FEP aged between 18 and 35 years were included. Two groups were identified. A total of 187 patients (57.5%) did not achieve recovery, and 138 patients (42.5%) achieved recovery. Recovered patients had generally a better premorbid and baseline profile in comparison with non-recovered patients (as among which shorter duration of untreated psychosis (DUP), higher degree of insight, better functional level and lower illness severity at baseline). The trajectories for the psychopathological and functional outcomes over 36 months differed between the non-recovered and the recovered group of patients.

CONCLUSIONS

Our results pointed to some variables associated with recovery, acting as potential protective factors. These should be considered for early intervention programs to promote psychological resilience specifically in those with a worse prognosis in order to mitigate the effects of the variables that make them more vulnerable to poorer outcome.

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.

Internet-based interdisciplinary therapeutic group (Grupo Interdisciplinar Online, GIO) for perinatal anxiety and depression-a randomized pilot study during COVID-19

Early interventions may promote reductions in mothers' anxiety-depression (AD) symptoms and improvements in their offspring. This longitudinal randomized research was conducted to assess the effects of interdisciplinary online therapeutic groups (GIO) in at-risk mothers and babies during the COVID-19 pandemic in a disadvantaged neighborhood in Barcelona (Spain). A total of 135 babies were born from March 2020 to June 2021 in a primary healthcare center of Barcelona (Spain). Pregnant woman and new mothers were screened for AD symptomatology through EPDS and STAI questionnaires. Seventy-two of them met high-risk criteria for AD and were included in the study. They were randomly assigned into the two groups of the study: 40 participants were assigned to GIO, the therapeutic group (TG), while 32 of them were assigned to the control group (CG) and received treatment as usual. The course of the mothers' symptomatology was assessed, as well as the baby's development at 6 months old in a blind pediatric follow-up. No differences were found in AD between both groups before the intervention. However, we obtained a significant decrease in AD symptomatology (EPDS p < .001; STAI state p = .015 and STAI trait p < .001at 6 months of life) after the intervention in the TG compared to the CG. Pediatric follow-up at 6 months demonstrated significant differences between groups in babies' development assessment (manipulation p = .003; language p < .001; sociability p < .001). The GIO helped to ensure healthy development of the baby and reduction of the mothers' depressive-anxiety symptomatology.

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.

Detection of depressive-anxiety symptomatology and associated risk factors among pregnant women in a low-income neighborhood

AIM

To determine the prevalence of anxiety-depressive symptomatology and associated risk factors in a population of pregnant women in the low-income neighborhood of Roquetes (Barcelona, Spain).

DESIGN

Quasi-experimental, cross-sectional study.

LOCATION

The study was carried out at the Primary Care Center, Roquetes Canteres, Barcelona.

PARTICIPANTS

Between 2015 and 2017, all pregnant women who visited the Sexual and Reproductive Care Team in Primary Care (ASSIR) or their Family Physician (FP) were invited to take part in a study if they met the following criteria: (a) over 18 years old (b) able to understand in any of the 4 study languages. Of a total of 239 gestating women, 19 declined to participate, 14 moved away from the area and 16 underwent voluntary termination of pregnancy, leaving a sample of 190 subjects.

MATERIAL AND METHODS

The Edinburgh Postnatal Depression Scale (EPDS) was used to detect depressive symptomatology, the State-Trait Anxiety Inventory (STAI) was used to assess anxiety, and a sociodemographic data questionnaire was administered. Once all descriptive demographic data from the whole sample was analyzed, baseline clinical and demographic characteristics were compared using the independent t-test for continuous variables and the chi-squared analysis for categorical variables.

RESULTS

The t-test showed that 48% of pregnant women presented an at-risk degree of anxiety-depressive symptomatology, double that found in the general population. Applying a chi-squared test to the at-risk and non-risk groups revealed associated prenatal risk factors including: having a history of violence; living in a rented room, mistreatment in infancy and mental health issues. The ROC curves analysis obtained a cutoff point score of 4 Accumulated Associated Factors (AAF) (AUC 0.765, p < .001, 57% sensitivity and 79% specificity).

CONCLUSIONS

Our study shows that rates of anxiety-depressive symptomatology in a population with considerable socio-economic deprivation can more than double. AAF in the population at risk of anxiety and depression were detected, highlighting the need to allocate resources to identification and prevention during pregnancy. This requires the involvement of a multidisciplinary, professional team with a biopsychosocial perspective.

Network structure of psychotic-like experiences in adolescents: Links with risk and protective factors

AIM

The main goal was to analyse the network structure of psychotic-like experiences (PLEs) in a large sample of adolescents. In addition, the network structure between PLEs and putative risk (mental health difficulties, suicidal behaviour, depression symptoms) and protective factors (prosocial behaviour, subjective well-being, self-esteem) for psychosis was analysed.

METHODS

The sample compromised a total of 1790 adolescents (M=15.7 years; SD=1.26), 816 men (45.6%), selected by stratified random cluster sampling. Various tools were used to measure PLEs, general psychopathology, suicide ideation and behaviour, depression symptoms, prosocial behaviour, subjective well-being, and self-esteem. The Gaussian graphical model for continuous variables and Ising model for binary variables were used for network estimation.

RESULTS

The PLEs estimated network was strongly interconnected. Unusual perceptual experiences were among the most central nodes. The average predictability of this network was 16.41%. The PLEs and risk and protective factors estimated network showed a high degree of interconnectedness between PLEs and psychopathology domains. PLEs, behavioural problems, and emotional symptoms were among the most central nodes. The mean predictability of this network was 43.46%. The results of the stability and accuracy analysis indicated that networks were accurately estimated.

CONCLUSIONS

At population level, extended psychosis phenotype can be conceptualized as a network of interacting cognitive, emotional, and behavioural features. The network model allows us to understand psychosis risk, at the same time opening new lines of study in the mental health arena.

Risk and protective factors for psychotic experiences in adolescence: a population-based study

BACKGROUND

Psychotic experiences (PEs) are reported by a significant minority of adolescents and are associated with the development of psychiatric disorders. The aims of this study were to examine associations between PEs and a range of factors including psychopathology, adversity and lifestyle, and to investigate mediating effects of coping style and parental support on associations between adversity and PEs in a general population adolescent sample.

METHOD

Cross-sectional data were drawn from the Irish centre of the Saving and Empowering Young Lives in Europe study. Students completed a self-report questionnaire and 973 adolescents, of whom 522 (53.6%) were boys, participated. PEs were assessed using the 7-item Adolescent Psychotic Symptom Screener.

RESULTS

Of the total sample, 81 (8.7%) of the sample were found to be at risk of PEs. In multivariate analysis, associations were found between PEs and number of adverse events reported (OR 4.48, CI 1.41-14.25; p < 0.011), maladaptive/pathological internet use (OR 2.70, CI 1.30-5.58; p = 0.007), alcohol intoxication (OR 2.12, CI 1.10-4.12; p = 0.025) and anxiety symptoms (OR 4.03, CI 1.57-10.33; p = 0.004). There were small mediating effects of parental supervision, parental support and maladaptive coping on associations between adversity and PEs.

CONCLUSION

We have identified potential risk factors for PEs from multiple domains including adversity, mental health and lifestyle factors. The mediating effect of parental support on associations between adversity and PEs suggests that poor family relationships may account for some of this mechanism. These findings can inform the development of interventions for adolescents at risk.

Using exercise to protect physical and mental health in youth at risk for psychosis

A large body of literature has demonstrated that exercise interventions can improve a broad range of outcomes in people with established schizophrenia, including reducing psychiatric symptoms, increasing cognitive functioning, and improving physical health. Furthermore, these benefits seem just as pronounced in first-episode psychosis. However, there have been few clinical studies to date examining the effects of exercise in those found to be ‘at-risk’ of psychosis, particularly for those meeting the criteria for ‘Clinical High Risk’ (CHR) state (a classification which includes both those meeting the ‘ultra-high risk for psychosis’ criteria and/or those with ‘atrisk mental states’). This is surprising, as a proportion of those in the CHR state go on to develop psychotic disorders, and a growing body of evidence suggests that early interventions in this period have significant potential to improve the course of illness. In this article, we shall review the existing literature for i) exercise as an adjunctive intervention for those treated for psychosis; ii) exercise as a standalone intervention in CHR groups; and iii) the rationale and supportive evidence for widescale use of exercise to preserve physical and mental health in those identified as at risk for psychosis. From this, we will put forth how the CHR phase represents an under-researched but highly-suitable timepoint for administering structured exercise interventions, in order to improve physical, psychological and neurocognitive outcomes; while also potentially reducing the odds of transition to full-threshold psychotic disorders. Following this, directions, recommendations and considerations around both the clinical implementation and future research around exercise in CHR individuals will be discussed.

Does physical activity reduce the risk of psychosis? A systematic review and meta-analysis of prospective studies

Longitudinal prospective cohorts have suggested that physical activity (PA) may be a protective factor against psychosis and schizophrenia. However, no meta-analysis has been conducted. The study aims to examine the prospective relationship between PA and incident psychosis/schizophrenia. Major databases were searched from inception to July 2019 for prospective studies that calculated the odds ratio (OR) or the adjusted odds ratio (AOR) of incident psychosis/schizophrenia in people with higher PA against people with lower PA. Methodological quality was assessed using the Newcastle-Ottawa Scale (NOS). A random-effects meta-analysis was conducted, for OR and AOR, separately. Across 4 cohorts (N = 30,025 median males = 50%, median follow-up = 32 years), people with high self-reported PA (versus low PA) were at reduced odds of developing psychosis/schizophrenia (OR = 0.73, 95%CI 0.532 to 0.995, p = 0.047). Analysis including 2 cohorts presenting AOR were not statistically significant (AOR = 0.59, 95%CI 0.253 to 1.383, p = 0.226). Overall study quality was high (mean NOS = 7.0). The literature on the topic is scarce, whilst crude analysis suggests that PA may be a protective factor against the emergence of psychosis/schizophrenia, but when adjusting for covariates, the association is no longer significant. Further studies with objective physical activity and adjustment for confounders are needed.

Early childhood and adolescent risk factors for psychotic depression in a general population birth cohort sample

BACKGROUND AND PURPOSE

In the group of severe mental disorders, psychotic depression (PD) is essentially under-researched. Knowledge about the risk factors is scarce and this applies especially to early risk factors. Our aim was to study early childhood and adolescent risk factors of PD in a representative birth cohort sample with a follow-up of up to 50 years.

METHODS

The study was carried out using the Northern Finland Birth Cohort 1966 (NFBC 1966). We used non-psychotic depression (NPD) (n = 746), schizophrenia (SZ) (n = 195), psychotic bipolar disorder (PBD) (n = 27), other psychoses (PNOS) (n = 136) and healthy controls (HC) (n = 8200) as comparison groups for PD (n = 58). We analysed several potential early risk factors from time of birth until the age of 16 years.

RESULTS

The main finding was that parents' psychiatric illness [HR 3.59 (1.84-7.04)] was a risk factor and a high sports grade in school was a protective factor [HR 0.29 (0.11-0.73)] for PD also after adjusting for covariates in the multivariate Cox regression model. Parental psychotic illness was an especially strong risk factor for PD. The PD subjects had a parent with psychiatric illness significantly more often (p < 0.05) than NPD subjects. Differences between PD and other disorder groups were otherwise small.

CONCLUSIONS

A low sports grade in school may be a risk factor for PD. Psychiatric illnesses, especially psychoses, are common in the parents of PD subjects. A surprisingly low number of statistically significant risk factors may have resulted from the size of the PD sample and the underlying heterogeneity of the etiology of PD.

What causes psychosis? An umbrella review of risk and protective factors

Psychosis is a heterogeneous psychiatric condition for which a multitude of risk and protective factors have been suggested. This umbrella review aimed to classify the strength of evidence for the associations between each factor and psychotic disorders whilst controlling for several biases. The Web of Knowledge database was searched to identify systematic reviews and meta-analyses of observational studies which examined associations between socio-demographic, parental, perinatal, later factors or antecedents and psychotic disorders, and which included a comparison group of healthy controls, published from 1965 to January 31, 2017. The literature search and data extraction followed PRISMA and MOOSE guidelines. The association between each factor and ICD or DSM diagnoses of non-organic psychotic disorders was graded into convincing, highly suggestive, suggestive, weak, or non-significant according to a standardized classification based on: number of psychotic cases, random-effects p value, largest study 95% confidence interval, heterogeneity between studies, 95% prediction interval, small study effect, and excess significance bias. In order to assess evidence for temporality of association, we also conducted sensitivity analyses restricted to data from prospective studies. Fifty-five meta-analyses or systematic reviews were included in the umbrella review, corresponding to 683 individual studies and 170 putative risk or protective factors for psychotic disorders. Only the ultra-high-risk state for psychosis (odds ratio, OR=9.32, 95% CI: 4.91-17.72) and Black-Caribbean ethnicity in England (OR=4.87, 95% CI: 3.96-6.00) showed convincing evidence of association. Six factors were highly suggestive (ethnic minority in low ethnic density area, second generation immigrants, trait anhedonia, premorbid IQ, minor physical anomalies, and olfactory identification ability), and nine were suggestive (urbanicity, ethnic minority in high ethnic density area, first generation immigrants, North-African immigrants in Europe, winter/spring season of birth in Northern hemisphere, childhood social withdrawal, childhood trauma, Toxoplasma gondii IgG, and non-right handedness). When only prospective studies were considered, the evidence was convincing for ultra-high-risk state and suggestive for urbanicity only. In summary, this umbrella review found several factors to be associated with psychotic disorders with different levels of evidence. These risk or protective factors represent a starting point for further etiopathological research and for the improvement of the prediction of psychosis.