Cardiovascular risk profile of adults with psychotic disorders in Eldoret, Kenya

Introduction: Cardiovascular disorders contribute significantly to mortality and morbidity amongst patient's psychotic disorders such as schizophrenia and bipolar mood disorders. In addition to conventional risk factors for cardiovascular disorders (smoking, alcohol use, inadequate physical activity, hypertension, diabetes, dyslipidaemia, obesity and metabolic syndrome, and non-modifiable factors such as sex, age and social-economic status) exposure to potentially traumatic events, psychological distress, comorbidity of other medical conditions, and use of antipsychotics may also increase cardiovascular risk in patients with psychosis. There is also evidence to suggest that intervention to mitigate such cardiovascular risk factors are suboptimal, hence contributing to poor outcomes. Despite growing interest in cardiovascular health, there remains a paucity of data on the prevalence of the various cardiovascular risk factors among patients with psychosis in low resource settings such as Sub-Saharan Africa. This is likely to differ from high resource contexts given social-cultural and economic differences as well as differences in the health systems. In order to design contextually relevant cardiovascular risk screening, treatment and prevention guidelines that can be integrated into routine care of the mentally ill patients in low- and middle-income countries (LMICs), further work in this setting is warranted. Objectives: The aim of this thesis was to establish the cardiovascular risk profile among patients treated for psychotic disorders at Moi Teaching and Referral Hospital (MTRH) in Eldoret, Western Kenya. Specific objectives were as follows: 1. To conduct a literature review on the burden and etiological mechanisms of cardiovascular risk in patients with psychosis, with a focus on LMIC. 2. To compare the prevalence, as well as sociodemographic and clinical correlates, of conventional cardiovascular risk factors (smoking, alcohol intake, poor diet, and lack of exercise, diabetes mellitus, hypertension, obesity, dyslipidaemia and metabolic syndrome) in patients with psychosis versus matched controls. 3. To establish the prevalence and correlates of non-conventional risk factors; psychological distress, traumatic events (lifetime and childhood trauma) and comorbid medical disorders in patients with psychosis and controls, and to delineate how these risk factors contribute to the overall cardiovascular risk. 4. To describe current psychopharmacological treatments and explore potential associations with cardiovascular risk among patients with psychosis. 5. To explore the overall 10-year cardiovascular disease risk, as well as the social demographic and clinical correlates among patients and controls. 6 .To determine the proportion of untreated metabolic disorders (hypertension, diabetes mellitus, and dyslipidaemia) in patients with psychotic disorders and matched controls. Methods: This was a cross-sectional descriptive survey comparing 300 patients with psychosis and 300 controls at Moi Teaching and Referral Hospital, Western Kenya. A paper based researcher-administered questionnaire was used to collect data on demographic variables (age, sex, education level, and marital status), and risk factors (smoking, alcohol intake, diet, physical activity). We used the Composite International Diagnostic Interview (CIDI) to assess for presence of other chronic medical disorders. Data on childhood trauma were obtained using the Childhood Trauma Questionnaire (CTQ) while the Life Events Checklist (LEC) was used to obtain data on lifetime exposure to potentially traumatic events. Data on psychological distress among controls were obtained using the Kessler-10 questionnaire. Measurements of weight, height, abdominal circumference and blood pressure were taken from each of the participants. Blood was drawn for measurement of glucose level and lipid profile. Data analysis was undertaken using Stata version 15. T-tests were used to compare continuous variables while Pearson chi-squared tests was used for categorical variables. Regression modelling was undertaken to assess associations between sociodemographic and clinical predictor variables and the cardiovascular risk factors. Results: Data collection took place between July 2018 and March 2019. The mean age of patients was 33 years and of controls was 35 years. Compared to controls, patients were more likely to be unmarried (46% vs 33% p< 0.001), and were reduced among females (OR 0.41 p20). The estimated 10 year cardiovascular risk was significantly associated with female Sex (p=0.007), age (p <0.001), current tobacco smoking (p <0.001) and metabolic syndrome (P<0.001). Among the patients, 280 (94.3%) patients were on antipsychotics with the majority (86.5%) being treated with olanzapine. Of all the participants with diabetes 60% among patients and 22% among controls were not on treatment. Of the total number of participants with hypertension, 65% of patients and 47% controls were not on treatment. Conclusion: In the study setting of Eldoret, Western Kenya, patients with psychosis were found to have high levels of lifestyle cardiovascular risk factors such as smoking, inadequate intake of fruits and vegetables and inadequate physical activity. They were also found to have high rates of metabolic disorders such as hypertension, obesity, metabolic syndrome and dyslipidaemia. There was no evidence of increased cardiovascular risk among participants exposed to traumatic life events, with those experiencing psychological distress or those with other chronic medical disorders. The use of olanzapine was not significantly associated with increased cardiovascular risk in this setting. There was an identifiable gap in the treatment of cardiovascular risk factors in this setting. Given these findings, we recommend efforts to address these risk factors by development of protocols to ensure screening for these risk factors, adequate documentation and appropriate treatment

Psychiatric morbidity among patients on treatment for tuberculosis at a tertiary referral hospital in Western Kenya

Background Mental disorders account for nine percent of the overall global burden of disease and are among the top ten leading causes of disability. Mental illness and tuberculosis share risk factors including poverty, overcrowding, stigma, poor nutrition, substance use and retro-viral disease co-infection. Presence of mental illness in tuberculosis delays health-seeking, affects drug adherence, increases cost of treatment, prolongs disease duration, lowers quality of life, and increases mortality. Early diagnosis, linkage, and treatment of psychiatric morbidity among patients with tuberculosis would improve outcomes for both. This study thus aimed to determine the prevalence and factors associated with psychiatric morbidity among patients on treatment for tuberculosis at a low- middle- income country. Methods A cross-sectional study carried out at the tuberculosis clinic at Moi Teaching and Referral Hospital (MTRH), Eldoret, Kenya. 367 participants on TB treatment were interviewed using Mini-International Neuropsychiatric Interview (MINI) tool. The key outcome was presence of psychiatric illness. Pearson’s Chi-square and logistic regression were used to assess relationships at bivariate and multivariate level respectively. Results Majority of the respondents were male (61.3%) and overall median age was 33 years. About half of participants (48.5%) had at least one psychiatric illness. Common disorders were alcohol use disorder (30.3%), depression (23.4%), substance use disorder (12.8%) and suicidality (8.2%). Odds of ‘any psychiatric illness’ were increased by being male (aOR = 1.92; P = 0.04), being separated or divorced (aOR = 6.86; P = 0.002), using alcohol (aOR = 3.2; P\u3c0.001), having been previously treated for tuberculosis (aOR = 2.76; P = 0.01), having other medical comorbidities (aOR = 4.2; P = 0.004) and family history of mental illness (aOR = 2.4; P = 0.049). Conclusion Almost half of the patients on treatment for tuberculosis had at least one psychiatric illness. Introduction of protocols for screening for mental illness and integration of mental health services with tuberculosis care would aid prompt diagnosis, referral, and quality of care

“Association between Traumatic Life Events and Psychosis: A case-control study in western Kenya

Globally close to 70% of the general population has experienced at least one traumatic life event (TLE). Although child and adulthood exposure to TLEs is considered a risk factor for the subsequent development of psychosis, few studies have examined the association between trauma and psychosis in the African population. We sought to explore the association between TLEs and psychosis in patients with psychotic disorders (N = 254) and individuals without (N = 254). The participants were matched by age and sex. The study was conducted at a national referral hospital, the Life Events Checklist for DSM-5 (LEC-5) was used to obtain data on TLEs, and ethical approval was obtained from the ethics committee. The proportion of those who experienced TLEs was equal among the cases and controls at about 80%. However, more cases reported that the TLEs happened to them (cases 60.3, p = 0.004). After multivariate analysis, the following specific TLEs remained statistically significant.: Physical assault (aOR = 3.66, 95% CI 2.28–5.48), assaults with a weapon (aOR = 5.26, 95% CI 2.15–10.48), sexual assault (aOR = 4.55, 95% CI 1.08–10.48). The sudden death of a loved one (aOR = 2.33, 95% CI 1.15–4.70) and serious injury/harm to others (aOR = 10.53, 95% CI 1.47–89.37)

PREVALENCE of psychiatric morbidity in a community sample in Western Kenya

Background:About 25% of the worldwide population suffers from mental, neurological and substance use disorders but unfortunately, up to 75% of affected persons do not have access to the treatment they need. Data on the magnitude of the mental health problem in Kenya is scarce. The objectives of this study were to establish the prevalence and the socio-demographic factors associated with mental and substance use disorders in Kosirai division, Nandi County, Western Kenya. Methods:This was a cross sectional descriptive study in which participants were selected by simple random sampling. The sampling frame was obtained from a data base of the population in the study area developed during door-to-door testing and counseling exercises for HIV/AIDS. Four hundred and twenty consenting adults were interviewed by psychologists using the Mini International Neuropsychiatric Interview Version 7 for Diagnostic and Statistical Manual 5th Edition and a researcher-designed social demographic questionnaire. Results:One hundred and ninety one (45%) of the participants had a lifetime diagnosis of at least one of the mental disorders. Of these, 66 (15.7%) had anxiety disorder, 53 (12.3%) had major depressive disorder; 49 (11.7%) had alcohol and substance use disorder. 32 (7.6%) had experienced a psychotic episode and 69 (16.4%) had a life-time suicidal attempt. Only 7 (1.7%) had ever been diagnosed with a mental illness. Having a mental condition was associated with age less than 60 years and having a medical condition. Conclusion:A large proportion of the community has had a mental disorder in their lifetime and most of these conditions are undiagnosed and therefore not treated. These findings indicate a need for strategies that will promote diagnosis and treatment of community members with psychiatric disorders. In order to screen more people for mental illness, we recommend further research to evaluate a strategy similar to the home based counseling and testing for HIV and the use of simple screening tools

Prevalence of lifestyle cardiovascular risk factors and estimated framingham 10-year risk scores of adults with psychotic disorders compared to controls at a referral hospital in Eldoret, Kenya

Introduction: Lifestyle factors such as smoking, alcohol use, suboptimal diet, and inadequate physical activity have been associated with increased risk of cardiovascular diseases. There are limited data on these risk factors among patients with psychosis in low- and middle-income countries. Objectives: This study aimed to establish the prevalence of lifestyle cardiovascular risk factors, and the 10-year cardiovascular risk scores and associated factors in patients with psychosis compared to controls at Moi Teaching and Referral Hospital in Eldoret, Kenya. Methods: A sample of 297 patients with schizophrenia, schizoaffective disorder, or bipolar mood disorder; and 300 controls matched for age and sex were included in this analysis. A study specific researcher-administered questionnaire was used to collect data on demographics, antipsychotic medication use, smoking, alcohol intake, diet, and physical activity. Weight, height, abdominal circumference, and blood pressure were also collected to calculate the Framingham 10-year Cardiovascular Risk Score (FRS), while blood was drawn for measurement of glucose level and lipid profile. Pearson’s chi-squared tests and t-tests were employed to assess differences in cardiovascular risk profiles between patients and controls, and a linear regression model was used to determine predictors of 10-year cardiovascular risk in patients. Results: Compared to controls, patients with psychosis were more likely to have smoked in their lifetimes (9.9% vs. 3.3%, p = 0.006) or to be current smokers (13.8% vs. 7%, p = 0.001). Over 97% of patients with psychosis consumed fewer than five servings of fruits and vegetables per week; 78% engaged in fewer than three days of vigorous exercise per week; and 48% sat for more than three hours daily. The estimated 10-year risk of CVD was relatively low in this study: the FRS in patients was 3.16, compared to 2.93 in controls. The estimated 10-year cardiovascular risk in patients was significantly associated with female sex (p = 0.007), older patients (p \u3c 0.001), current tobacco smoking (p \u3c 0.001), and metabolic syndrome (p \u3c 0.001). Conclusion: In the setting of Eldoret, there is suboptimal physical exercise and intake of healthy diet among patients with psychosis and controls. While the estimated risk score among patients is relatively low in our study, these data may be useful for informing future studies geared towards informing interventions to promote healthy lifestyles in this population

Mental Disorders Among Health Care Workers at the Early Phase of COVID-19 Pandemic in Kenya; Findings of an Online Descriptive Survey

Background: Healthcare workers responding to the Corona Virus Pandemic (COVID-19) are at risk of mental illness. Data is scanty on the burden of mental disorders among Kenyan healthcare workers responding to the pandemic that can inform mental health and psychosocial support. The purpose of this study was to establish the frequency and associated factors of worry, generalized anxiety disorder, depression, posttraumatic stress disorder and poor quality of sleep among Kenyan health care workers at the beginning of COVID-19 pandemic. Methods: We conducted an online survey among 1,259 health care workers in Kenya. A researcher developed social demographic questionnaire and several standardized tools were used for data collection. Standardized tools were programmed into Redcap, (Research Electronic Data Capture) and data analysis was performed using R Core Team. In all analysis a p-value \u3c 0.05 was considered significant. Results: 66% of the participants reported experiencing worry related to COVID-19. 32.1% had depression, 36% had generalized anxiety, 24.2% had insomnia and 64.7% scored positively for probable Post Traumatic Stress Disorder (PTSD). Depression was higher among females compared to men (36.5 vs. 26.9%, p = 0.003), workers \u3c35 years old compared to older ones (38.1 vs. 26.4%, p \u3c 0.001), and those who were not married compared to those who were married (40.6 vs. 27.6%, p \u3c 0.001). Generalized anxiety was commoner among workers aged \u3c35 years (43.5 vs. 29.3%, p \u3c 0.001), females (41.7 vs. 29.2%, p \u3c 0.001), those who mere not married compared to the married (45.2 vs. 31.2%, p \u3c 0.001) and those with \u3c10 years working experience (41.6 to 20.5%, p \u3c 0.001). Younger health care professional had a higher proportion of insomnia compared to the older ones (30.3 vs. 18.6%, p \u3c 0.001). Insomnia was higher among those with \u3c10 years\u27 experience compared to those with more than 20 years\u27 experience(27.3 vs. 17.6%, p = 0.043) Conclusion: Many Kenyan healthcare workers in the early phase of COVID-19 pandemic suffered from various common mental disorders with young, female professionals who are not married bearing the bigger burden. This data is useful in informing interventions to promote mental and psychosocial wellbeing among Kenyan healthcare workers responding to the pandemic

A systematic review of substance use and substance use disorder research in Kenya

Objectives: The burden of substance use in Kenya is significant. The objective of this study was to systematically summarize existing literature on substance use in Kenya, identify research gaps, and provide directions for future research. Methods: This systematic review was conducted in line with the PRISMA guidelines. We conducted a search of 5 bibliographic databases (PubMed, PsychINFO, Web of Science, Cumulative Index of Nursing and Allied Professionals (CINAHL) and Cochrane Library) from inception until 20 August 2020. In addition, we searched all the volumes of the official journal of the National Authority for the Campaign Against Alcohol & Drug Abuse (the African Journal of Alcohol and Drug Abuse). The results of eligible studies have been summarized descriptively and organized by three broad categories including: studies evaluating the epidemiology of substance use, studies evaluating interventions and programs, and qualitative studies exploring various themes on substance use other than interventions. The quality of the included studies was assessed with the Quality Assessment Tool for Studies with Diverse Designs. Results: Of the 185 studies that were eligible for inclusion, 144 investigated the epidemiology of substance use, 23 qualitatively explored various substance use related themes, and 18 evaluated substance use interventions and programs. Key evidence gaps emerged. Few studies had explored the epidemiology of hallucinogen, prescription medication, ecstasy, injecting drug use, and emerging substance use. Vulnerable populations such as pregnant women, and persons with physical disability had been under-represented within the epidemiological and qualitative work. No intervention study had been conducted among children and adolescents. Most interventions had focused on alcohol to the exclusion of other prevalent substances such as tobacco and cannabis. Little had been done to evaluate digital and population-level interventions. Conclusion: The results of this systematic review provide important directions for future substance use research in Kenya

Harmful Alcohol Use Among Healthcare Workers at the Beginning of the COVID-19 Pandemic in Kenya

Background: Healthcare workers play a key role in responding to pandemics like the on-going COVID-19 one. Harmful alcohol use among them could result in inefficiencies in health service delivery. This is particularly concerning in sub-Saharan Africa where the health workforce is already constrained. The aim of this study is to document the burden and correlates of harmful alcohol use among healthcare workers at the beginning of the COVID-19 pandemic in Kenya with the aim of informing policy and practice. Methods: This study was a cross-sectional analysis of data obtained from a parent online survey that investigated the burden and factors associated with mental disorders among healthcare workers during the COVID-19 pandemic in Kenya. We analyzed data obtained from a sub-population of 887 participants who completed the Alcohol Use Disorder Identification Test questionnaire. We used descriptive statistics to summarize the socio-demographic characteristics of the participants and multivariate analysis to determine the factors associated with harmful alcohol use. Results: Three hundred and eighty nine (43.9%) participants reported harmful alcohol use. The factors significantly associated with increased odds of endorsing harmful alcohol use were: being male (AOR = 1.56; 95% CI = 1.14, 2.14; p = 0.006), being unmarried (AOR = 2.06; 95% CI = 1.48, 2.89; p \u3c 0.001), having 11-20 years of experience as compared to having 20+ years of experience (AOR = 1.91; 95% CI = 1.18, 3.12; p = 0.009), and being a specialist (AOR = 2.78; CI = 1.64, 4.78; p = \u3c0.001) or doctor (AOR = 2.82; 95% CI = 1.74, 4.63; p \u3c 0.001) as compared to being a nurse. Conclusions: A high proportion of healthcare workers reported harmful alcohol use at the beginning of the COVID-19 pandemic in Kenya. Males, the unmarried, those with 11–20 years of experience in the health field, doctors and specialists, were more likely to report harmful alcohol use. These findings highlight the need to institute interventions for harmful alcohol use targeting these groups of healthcare workers in Kenya during the COVID-19 pandemic in order to optimize functioning of the available workforce

Adaptation of the client diagnostic questionnaire for East Africa

Research increasingly involves cross-cultural work with non-English-speaking populations, necessitating translation and cultural validation of research tools. This paper describes the process of translating and criterion validation of the Client Diagnostic Questionnaire (CDQ) for use in a multisite study in Kenya and Uganda. The English CDQ was translated into Swahili, Dholuo (Kenya) and Runyankole/Rukiga (Uganda) by expert translators. The translated documents underwent face validation by a bilingual committee, who resolved unclear statements, agreed on final translations and reviewed back translations to English. A diagnostic interview by a mental health specialist was used for criterion validation, and Kappa statistics assessed the strength of agreement between non-specialist scores and mental health professionals’ diagnoses. Achieving semantic equivalence between translations was a challenge. Validation analysis was done with 30 participants at each site (median age 32.3 years (IQR = (26.5, 36.3)); 58 (64.4%) female). The sensitivity was 86.7%, specificity 64.4%, positive predictive value 70.9% and negative predictive value 82.9%. Diagnostic accuracy by the non-specialist was 75.6%. Agreement was substantial for major depressive episode and positive alcohol (past 6 months) and alcohol abuse (past 30 days). Agreement was moderate for other depressive disorders, panic disorder and psychosis screen; fair for generalized anxiety, drug abuse (past 6 months) and Post Traumatic Stress Disorder (PTSD); and poor for drug abuse (past 30 days). Variability of agreement between sites was seen for drug use (past 6 months) and PTSD. Our study successfully adapted the CDQ for use among people living with HIV in East Africa. We established that trained non-specialists can use the CDQ to screen for common mental health and substance use disorders with reasonable accuracy. Its use has the potential to increase case identification, improve linkage to mental healthcare, and improve outcomes. We recommend further studies to establish the psychometric properties of the translated tool