Objective: Depression in adolescents is a matter of concern because of its high prevalence, potential recurrence and impairment of functioning in the affected individual. The study sought to determine the prevalence of depressive symptoms among adolescents in Nairobi (Kenya) public secondary schools; make a comparison between day and boarding students; and identify associated factors in this population. Method: A random sample of school going adolescents was taken from a stratified sample of 17 secondary schools out of the 49 public secondary schools in Nairobi province. The sample was stratified to take into account geographical distribution, day and boarding schools, boys only, girls only and mixed (co-education) schools in the capital city of Kenya. Self administered instruments (EMBU and CDI) were used to measure perceived parental behaviour and levels of depression in a total of 1,276 students excluding those who had no living parent. Results: The prevalence of clinically significant depressive symptoms was 26.4%. The occurrence was higher in girls than it was in boys p<0.001. Students in boarding schools had more clinically significant depressive symptoms compared to day students (p=0.01). More girls exhibited suicidal behaviour than boys (p<0.001). There was a significant correlation between depressive symptoms and suicidal behaviour (p<0.001). CDI scores correlated positively with age (p<0.001) with an increase in CDI score with unit increase in age among students 14-17 years old, perceived rejecting maternal parenting behaviour (p<0.001), perceived no emotional attachment paternal behaviour (p<0.001), perceived no emotional attachment maternal behaviour (p<0.001), and perceived under protective paternal behaviour (p=0.005).Conclusion: Perceived maladaptive parental behaviours are substantially associated with the development of depressive symptoms and suicidal behaviour in children.

No abstract

Defining the pre-psychotic 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 2,758 youth (aged 14–29) recruited through house-to-house visits in Nairobi, Kenya. The prevalence and severity of psychosis-risk items from the mPRIME, and the effects of gender and age on symptoms were evaluated. k-Means cluster analysis was used to identify symptom groups. Depending on the mPRIME item, 1.8–19.5% 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 five items showed a modest (R=0.09–0.13) but significant correlation with age. Cluster analysis identified four 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, in order to develop appropriate intervention strategies.

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.

Increase in alcohol and substance use among college students is a global public health concern. It is associated with the risk of alcohol and substance use disorders to the individual concerned and public health problems to their family and society. Among students there is also the risk of poor academic performance, taking longer to complete their studies or dropping out of university. This study determined the prevalence and patterns of alcohol and substance use of students at the entry to the university. Method A total of 406 (50.7% male) students were interviewed using the Assessment of Smoking and Substance Involvement Test (ASSIST) and the Alcohol Use Disorder Identification Tool (AUDIT). Bivariate logistic regression analyses were used to examine associations between substance use and students' socio-demographic characteristics. Multivariate logistic regression analysis was conducted to examine the predictors of the lifetime and current alcohol and substance use. Results Lifetime and current alcohol and substance use prevalence were 103 (25%) and 83 (20%) respectively. Currently frequently used substances were alcohol 69 (22%), cannabis 33 (8%) and tobacco 28 (7%). Poly-substance use was reported by 48 (13%) respondents, the main combinations being cannabis, tobacco, and alcohol. Students living in private hostels were four times more likely to be current substance users compared with those living on campus (OR = 4.7, 95% CI: 2.0, 10.9). Conclusion A quarter of the study respondents consumed alcohol and/or substances at the entry to university pushing the case for early intervention strategies to delay initiation of alcohol and substance use and to reduce the associated harmful consequences.

There are two medical schools training doctors in Kenya: the Moi University established in 1984 and the University of Nairobi established in 1967. The University of Nairobi has so far produced the majority of Kenyan doctors. Both are public universities with the Government being the main financier. The increased demand for university education and the inability to meet these demands has led to the introduction of a system of training self-sponsored medical students alongside Government-subsidised students. One other public university has started a medical school. The pressure to increase the number of schools and students in the absence of increased resources poses a particular challenge to the country.

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.

No abstract