Epidemiology of DSM-5 psychiatric disorders in Kenyan Youth with Low and High Psychosis Risk.

INTRODUCTION: There are few psychiatric epidemiology studies among Kenyan youth and fewer among those at high psychosis risk (HR). METHODS: This study assessed the epidemiology of DSM-5 psychiatric disorders in HR and low-risk (LR) individuals to inform research and mental health services. 567 participants (aged 15-25) in HR (n = 246) and LR (n = 260) groups based on Washington Early Recognition Center Affectivity and Psychosis (WERCAP) Screen scores. Diagnostic Interview Schedule, version 5 (DIS-5) assessed DSM-5 psychiatric disorder prevalence. Diagnostic comorbidity and demographic relationships were investigated. RESULTS: A higher prevalence was observed for all DSM-5 disorders in the HR group, significantly for gambling disorder (13% vs. 5.8%), major depressive disorder (9.8% vs. 3.8%), antisocial personality disorder (5.7% vs. 2.3%), general anxiety disorder (4.9% vs. 0.4%), oppositional defiant disorder (3.3% vs. 0.4%), panic disorder (2.8% vs. 0.8%), and anorexia nervosa (2.8% vs. 0%). Gambling disorder was the most prevalent and showed significant gender effects (males>females). DISCUSSION: Psychiatric disorders occur at increased rates among HR compared to LR. Prevalence rates found are lower than in US studies, except for gambling disorder which was highly prevalent. Large-population-based epidemiology studies in Africa are needed to estimate rates, particularly of disorders such as schizophrenia, accurately.

Psychotic-like experiences and adverse life events in young people. Does gender matter?

BACKGROUND: Psychotic-like experiences (PLEs) and adverse life events (ALEs) are highly prevalent in sub-Saharan Africa where gendered practices are also common. There is, however, a paucity of data on how the relationship between PLEs and life adversities is influenced by gender. The current study addressed this gap. METHOD: Data were collected from 1886 school-based young people (1174 females) in Ghana, West Africa using a cross-sectional survey methodology and analyzed using Chi-square, independent t-test, Pearson correlation, and multivariate regression. RESULTS: The results showed that victimization experiences, school stress and having a family member with mental illness were significantly associated with PLEs in both males and females. In contrast, substance misuse and experiences of head trauma correlated significantly with PLEs in females only. CONCLUSION: Life adversities constitute major risk factors for PLEs among school-based young people in Ghana, who could benefit from gender neutral and gender-sensitive intervention programming to remediate the effects of life adversities on PLEs.

The co-morbidity of DSM-V Gambling with DSM-V mental disorders and substance abuse in a Kenyan context of high risk schizophrenia.

INTRODUCTION: There is evidence that gambling disorder shares similarities with other types of addictive behavior, such as occurs in substance abuse. In addition, co-morbidity of gambling with mental disorders has been established in school-going students. AIM: This study aimed at determining the comorbidity of DSM-V gambling disorder with DSM-V mental disorders and substance abuse in high school, college and university students in Kenya. METHODS: This was a cross-sectional study among 536 high school, college and university students. We collected data on socio-demographic characteristics, economic indicators, DSM-V diagnosis including DSM-V gambling disorder and substance use disorders using the WHO ASSIST tool. Descriptive and inferential analyses were done. RESULTS: A total of 536 students participated in the study, of which 11.4% (61 out of 536) had DSM-V gambling disorder. Male gender (AOR = 12.0, 95% CI: 4.99-34.3), antisocial personality disorder (AOR = 3.42, 95% CI: 1.34-8.54), tobacco use (AOR = 4.42, 95% CI: 1.15-18.3) and conduct disorder (AOR = 7.56, 95% CI: 2.34-25.1) were predictors of gambling disorder. CONCLUSION: Gambling is highly prevalent in Kenya learning institutions at 11.4% and is associated with mental disorders and substance use. There is a need for public awareness of gambling among Kenyan youths.

Three genetic-environmental networks for human personality.

Phylogenetic, developmental, and brain-imaging studies suggest that human personality is the integrated expression of three major systems of learning and memory that regulate (1) associative conditioning, (2) intentionality, and (3) self-awareness. We have uncovered largely disjoint sets of genes regulating these dissociable learning processes in different clusters of people with (1) unregulated temperament profiles (i.e., associatively conditioned habits and emotional reactivity), (2) organized character profiles (i.e., intentional self-control of emotional conflicts and goals), and (3) creative character profiles (i.e., self-aware appraisal of values and theories), respectively. However, little is known about how these temperament and character components of personality are jointly organized and develop in an integrated manner. In three large independent genome-wide association studies from Finland, Germany, and Korea, we used a data-driven machine learning method to uncover joint phenotypic networks of temperament and character and also the genetic networks with which they are associated. We found three clusters of similar numbers of people with distinct combinations of temperament and character profiles. Their associated genetic and environmental networks were largely disjoint, and differentially related to distinct forms of learning and memory. Of the 972 genes that mapped to the three phenotypic networks, 72% were unique to a single network. The findings in the Finnish discovery sample were blindly and independently replicated in samples of Germans and Koreans. We conclude that temperament and character are integrated within three disjoint networks that regulate healthy longevity and dissociable systems of learning and memory by nearly disjoint sets of genetic and environmental influences.

The prevalance of binge eating disorder and associated psychiatric and substance use disorders in a student population in Kenya - towards a public health approach.

INTRODUCTION: Kenya in particular and Africa in general lack data on Binge Eating Disorder (BED). The overarching objective of this study is to fill that gap. Kenyans may not be aware that BED exists when a "very good" appetite is considered a sign of good health, especially if food is available either at home, in fast food shops or when communally eating together, a very common cultural practice. On the other hand where there is relatively insufficient food, it is not expected that one could be having a problem of eating too much. METHOD: We administered the following tools and measurements to 9742 participants (high school, college and university students): 1) Researcher designed socio-demographic and economic indicator questionnaire; 2) An instrument documenting DSM-IV diagnostic criteria for BED and its various symptoms; 3) An instrument to determine DSM-IV psychiatric disorders and substance abuse;4) An instrument measuring high risk for psychosis ,affectivity and stress; 5) A WHO designed instrument measuring the severity of substance abuse for specific substances. We used descriptive and inferential analysis to determine the prevalence and association of the different variables. Independent predictors of BED were generated from a generalized linear model (p<0.05). RESULTS: We found a prevalence of 3.2% of BED and a wide range of prevalence for BED and BED related symptoms (8.1% to 19%). The least prevalent was "To prevent weight gain from eating binge did you force yourself to vomit, or used laxatives?". The most common was "Did you often go on eating binges (eating a very large amount of food very quickly over a short period of time)." Major depression, obsessive compulsive disorder, panic disorder, agoraphobia, generalized anxiety disorder ,a positive stress screen and drug abuse were independent predictors of BED (p<0.05). CONCLUSION: Our findings on the prevalence of BED and significant associations with various psychiatric disorders and substance use disorders are similar to those obtained in High Income Countries (HIC) using similar large-scale samples in non-clinical populations. Our findings suggest the need fora public health approach to enhance awareness of BED and to promote health-seeking behaviour towards management of BED.

Prevalence and perception of substance abuse and associated economic indicators and mental health disorders in a large cohort of Kenyan students: towards integrated public health approach and clinical management.

BACKGROUND: The earlier younger people begin to use drugs, the more vulnerable they become to both their short term and long-term harmful effects. The overall aim of this study is to determine the prevalence of alcohol and drug abuse, the socio-demographic characteristic, perception of abuse and associated economic indicators and mental disorders and how they inform potential intervention in a cohort of Kenyan students. METHODS: This was a cross-sectional study on a total of 9742 high school, college and university students. We used tools to document socio-demographic characteristics, economic indicators, drug and alcohol use and related perceptions and Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) related psychiatric disorders. Basic descriptive statistics (means and standard deviations for numerical variables and frequencies for nominal and ordinal variables) were done. Logistic regression models were used to assess the association and odds ratios between the use of a given substance and the use of the other substances, as well as associations with the various available socio-demographic factors and economic indicators. Chi-squared tests were used in socio-economic characteristics disaggregated by current alcohol use. RESULTS: The mean age was 21.4 ± 2.4; median = 21.3 (range 15-43) years. We found a wide range of different drugs of abuse. Alcohol abuse was the commonest and inhalants were the least, with different perceptions.Both alcohol and drug abuse were associated with various economic indicators and various mental disorders. CONCLUSION: This study has established for the first time in Kenya the multifaceted associations and predictors of alcohol and drug abuse in a cross-sectional student population ranging from high school to college and university levels. In the process, the study contributes to global data on the subject. These associations call for an integrated and multifaceted approach in addressing alcohol and substance abuse. This approach should take into account various associations and predictors as part of holistic approach in both public awareness and clinical interventions.

A population-based survey of autistic traits in Kenyan adolescents and young adults.

Background: To date, there have been no large-scale population studies of autistic traits (AUT) conducted in Africa. Aim: The study aimed to estimate the prevalence and characteristics of autism spectrum disorders in a large sample of Kenyan adolescents and young adults. Setting: Tertiary academic institutions (87%) and directly from the community (13%). Methods: Our study surveyed 8918 youths (aged 15-25 years) using the autism spectrum quotient (AQ). Based on AQ scores, we derived groups with low (L-AUT), borderline (B-AUT), and high (H-AUT) autistic traits. Relationships of AUT with demographic factors, psychosis, affectivity and stress were investigated. Results: Internal consistency of the AQ in the population was excellent (Cronbach's α = 0.91). Across all participants, 0.63% were estimated as having H-AUT, while 14.9% had B-AUT. Amongst community youth, prevalence of H-AUT was 0.98%. Compared to those with low and borderline traits, H-AUT participants were more likely to be males, to have lower personal and parental educational attainment, and to be of a lower socioeconomic status. The H-AUT group also had higher psychotic and affective symptoms as well as higher psychosocial stress than other groups. Conclusion: The prevalence of H-AUT amongst Kenyan youth is comparable to Autism spectrum disorder (ASD) rates in many countries. Autistic traits in Kenya are associated with worse social and clinical profiles. Further research on autism across Africa is needed to investigate cross-cultural heterogeneity of this disorder, and to guide healthcare policy.

Decomposition of brain diffusion imaging data uncovers latent schizophrenias with distinct patterns of white matter anisotropy.

Fractional anisotropy (FA) analysis of diffusion tensor-images (DTI) has yielded inconsistent abnormalities in schizophrenia (SZ). Inconsistencies may arise from averaging heterogeneous groups of patients. Here we investigate whether SZ is a heterogeneous group of disorders distinguished by distinct patterns of FA reductions. We developed a Generalized Factorization Method (GFM) to identify biclusters (i.e., subsets of subjects associated with a subset of particular characteristics, such as low FA in specific regions). GFM appropriately assembles a collection of unsupervised techniques with Non-negative Matrix Factorization to generate biclusters, rather than averaging across all subjects and all their characteristics. DTI tract-based spatial statistics images, which output is the locally maximal FA projected onto the group white matter skeleton, were analyzed in 47 SZ and 36 healthy subjects, identifying 8 biclusters. The mean FA of the voxels of each bicluster was significantly different from those of other SZ subjects or 36 healthy controls. The eight biclusters were organized into four more general patterns of low FA in specific regions: 1) genu of corpus callosum (GCC), 2) fornix (FX)+external capsule (EC), 3) splenium of CC (SCC)+retrolenticular limb (RLIC)+posterior limb (PLIC) of the internal capsule, and 4) anterior limb of the internal capsule. These patterns were significantly associated with particular clinical features: Pattern 1 (GCC) with bizarre behavior, pattern 2 (FX+EC) with prominent delusions, and pattern 3 (SCC+RLIC+PLIC) with negative symptoms including disorganized speech. The uncovered patterns suggest that SZ is a heterogeneous group of disorders that can be distinguished by different patterns of FA reductions associated with distinct clinical features.

The WERCAP Screen and the WERC Stress Screen: psychometrics of self-rated instruments for assessing bipolar and psychotic disorder risk and perceived stress burden.

BACKGROUND: Identification of individuals in the prodromal phase of bipolar disorder and schizophrenia facilitates early intervention and promises an improved prognosis. There are no current assessment tools for clinical risk symptoms of bipolar disorder, and psychosis-risk assessment generally involves semi-structured interviews, which are time consuming and rater dependent. We present psychometric data on two novel quantitative questionnaires: the Washington Early Recognition Center Affectivity and Psychosis (WERCAP) Screen for assessing bipolar and psychotic disorder risk traits, and the accompanying WERC Stress Screen for assessing individual and total psychosocial stressor severities. METHODS: Prevalence rates of the WERCAP Screen were evaluated among 171 community youth (aged 13-24 years); internal consistency was assessed and k-means cluster analysis was used to identify symptom groups. In 33 participants, test-retest reliability coefficients were assessed, and ROC curve analysis was used to determine the validity of the psychosis section of the WERCAP Screen (pWERCAP) against the Structured Interview of Psychosis-Risk Symptoms (SIPS). Correlations of the pWERCAP, the affectivity section of the WERCAP Screen (aWERCAP) and the WERC Stress Screen were examined to determine the relatedness of scores with cognition and clinical measures. RESULTS: Cluster analysis identified three groups of participants: a normative (47%), a psychosis-affectivity (18%) and an affectivity only (35%) group. Internal consistency of the aWERCAP and pWERCAP resulted in alphas of 0.87 and 0.92, and test-retest reliabilities resulted in intraclass correlation coefficients of 0.76 and 0.86 respectively. ROC curve analysis showed the optimal cut-point on the pWERCAP as a score of >30 (sensitivity: 0.89; specificity: 1.0). There was a significant negative correlation between aWERCAP scores and total cognition (R=-0.42), and between pWERCAP scores and sensorimotor processing speed. Total stress scores correlated significantly with scores on the aWERCAP (R=0.88), pWERCAP (R=0.62) and total cognition (R=-0.44). CONCLUSIONS: Our results show that the WERCAP Screen and the WERC Stress Screen are easy to administer and derived scores are related to cognitive and clinical traits. This suggests that their use could have particular benefits for epidemiologic studies and in busy clinical settings. Longitudinal studies would be required to evaluate clinical outcomes with high questionnaire scores.

Validation of a modified version of the PRIME screen for psychosis-risk symptoms in a non-clinical Kenyan youth sample.

BACKGROUND: The PRIME screen is a self-administered questionnaire designed to quickly assess individuals at risk for developing a psychotic disorder. It is shorter in both length and administration time compared to the Structured Interview for Psychosis-Risk Syndromes (SIPS)-a standard instrument for psychosis prodromal risk assessment. Validation of the PRIME against the SIPS has not been reported in large non-clinical populations. METHODS: A culturally modified version of the PRIME screen (mPRIME) was administered to Kenyan youth between the ages of 14 and 29. 182 completed both the SIPS and mPRIME. Validation measures (sensitivity, specificity, positive predictive value, negative predictive value) were calculated and the study sample was then broken down into true positives, false positives, and false negatives for comparison on different quantitative measures. RESULTS: Using previously suggested thresholds for a positive screen, the mPRIME had a sensitivity of 40% and a specificity of 64.8% for our entire sample. Positive predictive value (PPV) and negative predictive value (NPV) were 12.3% and 89.7%, respectively. Breaking the sample down by questionnaire outcome showed that true-positive individuals scored higher on average rate and intensity of endorsement of mPRIME items compared to false-positive and false-negatives, while false-negatives on average registered disagreement on all mPRIME questionnaire items. CONCLUSIONS: The mPRIME does not appear to be an effective screener of at-risk individuals for psychosis in our non-clinical sample. Further validation efforts in other general populations are warranted.

Tract-based analyses of white matter in schizophrenia, bipolar disorder, aging, and dementia using high spatial and directional resolution diffusion imaging: a pilot study.

Introduction: Structural brain connectivity abnormalities have been associated with several psychiatric disorders. Schizophrenia (SCZ) is a chronic disabling disorder associated with accelerated aging and increased risk of dementia, though brain findings in the disorder have rarely been directly compared to those that occur with aging. Methods: We used an automated approach to reconstruct key white matter tracts and assessed tract integrity in five participant groups. We acquired one-hour-long high-directional diffusion MRI data from young control (CON, n =28), bipolar disorder (BPD, n =21), and SCZ (n =22) participants aged 18-30, and healthy elderly (ELD, n =15) and dementia (DEM, n =9) participants. Volume, fractional (FA), radial diffusivity (RD) and axial diffusivity (AD) of seven key white matter tracts (anterior thalamic radiation, ATR; dorsal and ventral cingulum bundle, CBD and CBV; corticospinal tract, CST; and the three superior longitudinal fasciculi: SLF-1, SLF-2 and SLF-3) were analyzed with TRACULA. Group comparisons in tract metrics were performed using multivariate and univariate analyses. Clinical relationships of tract metrics with recent and chronic symptoms were assessed in SCZ and BPD participants. Results: A MANOVA showed group differences in FA (λ=0.5; p=0.0002) and RD (λ=0.35; p<0.0001) across the seven tracts, but no significant differences in tract AD and volume. Post-hoc analyses indicated lower tract FA and higher RD in ELD and DEM groups compared to CON, BPD and SCZ groups. Lower FA and higher RD in SCZ compared to CON did not meet statistical significance. In SCZ participants, a significant negative correlation was found between chronic psychosis severity and FA in the SLF-1 (r= -0.45; p=0.035), SLF-2 (r= -0.49; p=0.02) and SLF-3 (r= -0.44; p=0.042). Discussion: Our results indicate impaired white matter tract integrity in elderly populations consistent with myelin damage. Impaired tract integrity in SCZ is most prominent in patients with advanced illness.

Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis.

This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.

Classes of psychotic experiences in Kenyan children and adolescents.

Psychotic-like experiences (PLEs) have been observed worldwide in both adults and children outside the context of a clinical disorder. In the current study, we investigate the prevalence and patterns of PLEs among children and adolescents in Kenya. Among 1,971 students from primary and secondary schools around Nairobi (aged 8-19), 22.1 % reported a lifetime history of a psychotic experience, and 16.3 % reported this unrelated to sleep or drugs. Psychotic experiences were more common in males compared to females. LCA resulted in a three-class model comprised of a normative class (83.3 %), a predominately hallucinatory class (Type 1 psychosis: 9.6 %), and a pan-psychotic class (Type 2 psychosis: 7.2 %). These results indicate that PLEs are prevalent in children and adolescents, and the distributions of symptom clusters are similar to that found in adulthood. The relationship of specific PLEs to the future development of psychotic disorder, functional impairment or distress will require further study.

A Review of Potential Neuroimaging Biomarkers of Schizophrenia-Risk.

The risk for developing schizophrenia is increased among first-degree relatives of those with psychotic disorders, but the risk is even higher in those meeting established criteria for clinical high risk (CHR), a clinical construct most often comprising of attenuated psychotic experiences. Conversion to psychosis among CHR youth has been reported to be about 15-35% over three years. Accurately identifying individuals whose psychotic symptoms will worsen would facilitate earlier intervention, but this has been difficult to do using behavior measures alone. Brain-based risk markers have the potential to improve the accuracy of predicting outcomes in CHR youth. This narrative review provides an overview of neuroimaging studies used to investigate psychosis risk, including studies involving structural, functional, and diffusion imaging, functional connectivity, positron emission tomography, arterial spin labeling, magnetic resonance spectroscopy, and multi-modality approaches. We present findings separately in those observed in the CHR state and those associated with psychosis progression or resilience. Finally, we discuss future research directions that could improve clinical care for those at high risk for developing psychotic disorders.

DSM-5 conduct disorder and symptoms in youths at high risk of psychosis in Kenya with DSM-5 mental disorders and substance use: towards integrated management.

Little is known about the prevalence of Conduct Disorder (CD) and symptoms of CD in high risk psychosis persons at both clinical and community populations in LMICs and in particular Kenya. This study aimed to document (1) the prevalence of CD diagnosis and symptoms in youth who screened positive for psychosis and (2) the associated mental disorders and substance use in the same cohort in LMIC. The sample size was 536 students who had screened positive on the Washington Early Recognition Center Affectivity and Psychosis (WERCAP) from a population of 9,742 high school, college and university students, but had not converted to a psychotic disorder. We collected data on socio-demographic characteristics and used the following tools: Economic indicators tool; the Diagnostic Interview Schedule (DIS) tool for DSM-5 diagnosis; World Health Organization (WHO) Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Basic descriptive statistics, chi-square test, Fisher's exact test, Pearson correlation and Poisson regression were conducted. Five percent (5%) of the respondents met the criteria for DSM-5 CD. Indeterminate CD comprised 10.1%. Male gender, all substances except hallucinogens lifetime, obsessive compulsive disorder, psychosis, agoraphobia, social phobia, drug abuse/dependence, antisocial personality disorder, oppositional defiant disorder, suicidality, WERCAP screen for bipolar disorder and WERCAP screen for schizophrenia were significantly (p < 0.05) associated with CD. Deceitfulness or theft criteria symptoms showed that CD had no significant gender difference. Criteria symptoms in aggression to people and animals, destruction of property and serious violations of rules were more common among males. Our findings suggest the need to screen for and diagnose CD, mental disorders and substance use in high risk psychosis youths in Kenya. This will inform integrated management.

Risk of autism spectrum disorder and association of its symptoms with psychiatric and substance use disorders in non-clinical student sample in Kenya: cross-sectional study.

BACKGROUND: The prevalence and patterns of autism spectrum disorder (ASD) symptoms/traits and the associations of ASD with psychiatric and substance use disorders has not been documented in non-clinical students in Sub-Saharan Africa, and Kenya in particular. AIMS: To document the risk level of ASD and its traits in a Kenyan student population (high school, college and university) using the Autism-Spectrum Quotient (AQ); and to determine the associations between ASD and other psychiatric and substance use disorders. METHOD: This was a cross-sectional study among students (n = 9626). We used instruments with sufficient psychometric properties and good discriminative validity to collect data. A cut-off score of ≥32 on the AQ was used to identify those at high risk of ASD. We conducted the following statistical tests: (a) basic descriptive statistics; (b) chi-squared tests and Fisher's exact tests to analyse associations between categorical variables and ASD; (c) independent t-tests to examine two-group comparisons with ASD; (d) one-way analysis of variance to make comparisons between categorical variables with three or more groups and ASD; (e) statistically significant (P < 0.05) variables fitted into an ordinal logistic regression model to identify determinants of ASD; (f) Pearson's correlation and reliability analysis. RESULTS: Of the total sample, 54 (0.56%) were at high risk of ASD. Sociodemographic differences were found in the mean scores for the various traits, and statistically significant (P < 0.05) associations we found between ASD and various psychiatric and substance use disorders. CONCLUSIONS: Risk of ASD, gender characteristics and associations with psychiatric and substance use disorders are similar in this Kenyan sample to those found in Western settings in non-clinical populations.

Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention.

This study aimed at determining the prevalence of stress, different types of stress, their severity and their determinants in Kenyan university, college and high school students. The following tools were administered to 9741 students: (1) Researcher-designed socio-demographic tool, (2) Psychiatric Diagnostic Screening Questionnaire (PDSQ) for psychiatric disorders, (3) WERC Stress Screen for stress, (4) Washington Early Recognition Center Affectivity and Psychosis (WERCAP) screen for psychosis and affectivity, (5) Wealth Index Questionnaire for economic indicators. Descriptive analysis for the prevalence of different types of stress and inferential analysis for stress and independent variables were done. Significant variables (p < 0.05) were fitted into generalized linear model to determine independent predictors. The mean age of the respondents was 21.4 years (range 16-43). Money issues were the commonest stressors while alcohol and drug use were the least. The independent predictors of stress were females, college students and use of gas stove. In conclusion, up to 30% of the students suffer from mild to severe stress. The students experience a wide range of stressors. The most important stressors include money and finances, family related problems and concerns about their future. Our findings suggest a public health approach to create stress awareness in students.

Development of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS.

Aim: To harmonize two ascertainment and severity rating instruments commonly used for the clinical high risk syndrome for psychosis (CHR-P): the Structured Interview for Psychosis-risk Syndromes (SIPS) and the Comprehensive Assessment of At-Risk Mental States (CAARMS). Methods: The initial workshop is described in the companion report from Addington et al. After the workshop, lead experts for each instrument continued harmonizing attenuated positive symptoms and criteria for psychosis and CHR-P through an intensive series of joint videoconferences. Results: Full harmonization was achieved for attenuated positive symptom ratings and psychosis criteria, and partial harmonization for CHR-P criteria. The semi-structured interview, named P ositive SY mptoms and Diagnostic Criteria for the C AARMS H armonized with the S IPS (PSYCHS), generates CHR-P criteria and severity scores for both CAARMS and SIPS. Conclusion: Using the PSYCHS for CHR-P ascertainment, conversion determination, and attenuated positive symptom severity rating will help in comparing findings across studies and in meta-analyses.

Prevalence and characteristics of psychotic-like experiences in Kenyan youth.

Current evidence suggests that there may be significant differences in psychotic symptom prevalence in Africa compared with other cultures. However, there have been few studies evaluating these symptoms in the continent. We conducted a cross-sectional survey of psychotic-like experiences (PLEs) in 2963 Kenyan students from seven tertiary academic institutions spread across Kenya, using a self-administered psychosis questionnaire evaluating psychotic experiences and demographic variables. Logistic regression was used to evaluate relationship between PLEs and demographic variables. Latent class analysis (LCA) was used to determine specific classes of psychotic experiences. Twenty-three percent of respondents reported having at least one PLE, and 19% reported this unrelated to drug use or sleep. Compared to students identifying as Protestant Christians, Catholics had a lower likelihood of having any PLE or visual hallucinations. Other demographic variables were not significantly associated with PLEs. LCA of PLEs resulted in a three-class model that comprised 1) a non-psychotic class (83.8%), 2) a predominantly hallucinatory class ("type I PLE"; 12.7%), and 3) a multiple symptom class ("type II PLE"; 3.5%). Both psychotic classes had a predominance of male students. Further studies are required to clarify functionality and clinical progression associated with observed patterns of psychosis, as well as the generalizability of our findings.

A survey of psychosis risk symptoms in Kenya.

Defining the prepsychotic state in an effort to prevent illness progression and the development of disorders such as schizophrenia is a rapidly growing area of psychiatry. The presentation of psychotic symptoms can be influenced by culture; however, there has not been any previous assessment of psychosis risk symptoms in the continent of Africa. Our study aimed to measure the prevalence of psychosis risk in a community sample in Nairobi, Kenya, and to evaluate the effects of key demographic variables. A culturally modified version of the 12-item PRIME-Screen (mPRIME) was self-administered by 2758 youth (aged 14-29 years) recruited through house-to-house visits in Nairobi, Kenya. The prevalence and severity of psychosis risk items from the mPRIME and the effects of sex and age on symptoms were evaluated. k-Means cluster analysis was used to identify symptom groups. Depending on the mPRIME item, 1.8% to 19.5% of participants reported certainty of having had a psychosis risk symptom. Overall, 45.5% reported having had any psychosis risk symptom. Females had a significantly higher mean severity score on items evaluating persecutory ideation and auditory hallucinations. Symptom severity on 5 items showed a modest (R = 0.09-0.13) but significant correlation with age. Cluster analysis identified 4 groups of participants: normative (55%), high symptom (11%), intermediate symptom (19%), and grandiose symptom (15%). Psychosis risk symptoms appear to be highly prevalent in Kenyan youth. Longitudinal studies are needed to determine the correlation of identified symptoms with transition to psychotic illness, as well as the associated functionality and distress, to develop appropriate intervention strategies.