Faculty Bibliography

In Kenya, approximately one in five girls aged 15-19 years old are pregnant or already a mother. Adolescent girls and young women experience significant mental health vulnerabilities during the pregnancy and postpartum periods, leading to poor antenatal and postnatal care attendance and inferior infant and maternal health outcomes. Pregnant adolescents often experience stigma and disenfranchisement due to their pregnancy status and at the same time lack access to mental health support within health settings, schools, religious institutions, and communities. This paper presents the results of qualitative interviews embedded within the human-centered design (HCD) process used to adapt the Helping Adolescents Thrive (HAT) program for Kenyan peripartum adolescents including young fathers. This qualitative study used two phases. First, a HAT advisory group participated in a series of four workshops to help identify and articulate mental health promotion needs and deepened the team's understanding of youth-centered thinking. Second, qualitative interviews were conducted with 39 pregnant and parenting adolescents to understand their perspectives on mental health prevention and promotion. Pregnant and parenting adolescents articulated different needs including poor support, stigma, and psychological disturbances. Parenting adolescents reported disturbed relationships, managing motherhood, poor health, and social empowerment. Participants highlighted sources of stress including economic challenges, fear of delivery, strained relationships, rejection, and stigma. Participants described psychological disturbances such as feeling stressed, worthless, withdrawn, and suicidal. Coping mechanisms reported by participants included engaging in domestic activities, hobbies, and social networking. Peers, family and spirituality were identified as important sources of support, as well as school integration, livelihoods, support groups and mentorships. Findings from this study can be used to strengthen and adapt HAT program, policy and practice for mental health prevention and promotion for pregnant and parenting adolescents.

PURPOSE:Mental disorders are among the leading causes of disability among adolescents aged 10-19 years. However, data on prevalence of mental health conditions are extremely sparse across low- and middle-income countries, even though most adolescents live in these settings. This data gap is further exacerbated because few brief instruments for adolescent mental health are validated in these settings, making population-level measurement of adolescent mental health especially cumbersome to carry out. In response, the UNICEF has undertaken the Measurement of Mental Health Among Adolescents at the Population Level (MMAP) initiative, validating open-access brief measures and encouraging data collection in this area. METHODS:This protocol presents the MMAP mixed-methods approach for cultural adaptation and clinical validation of adolescent mental health data collection tools across settings. Qualitative activities include an initial translation and adaptation, review by mental health experts, focus-group discussions with adolescents, cognitive interviews, synthesis of findings, and back-translation. An enriched sample of adolescents with mental health problems is then interviewed with the adapted tool, followed by gold-standard semistructured diagnostic interviews. RESULTS:The study protocol is being implemented in Belize, Kenya, Nepal, and South Africa and includes measures for anxiety, depression, functional limitations, suicidality, care-seeking, and connectedness. Analyses, including psychometrics, will be conducted individually by country and combined across settings to assess the MMAP methodological process. DISCUSSION:This protocol contributes to closing the data gap on adolescent mental health conditions by providing a rigorous process of cross-cultural adaptation and validation of data collection approaches.

OBJECTIVE:We estimated the effects of HIV stigma on mental health and treatment outcomes for youth with HIV (YWH). DESIGN:Secondary analysis of data for YWH ages 15-24 years in Western Kenya. METHODS:Participants completed a longitudinal survey (baseline, months 6 and 12) assessing socio-demographics, antiretroviral therapy (ART) adherence, depressive symptoms (PHQ-9), and HIV stigma (10-item Wright scale). First viral load (VL) after enrollment was abstracted from records. We estimated risk of depressive symptoms (score > 4), nonadherence (missing ≥2 days of ART in a month), and detectable VL (≥50 copies/ml) for each standard deviation (SD) increase in HIV stigma score, adjusted for age and sex (and regimen in VL model). The generalizing estimating equation models included measures for the three visits. RESULTS:Median age for the 1011 YWH was 18 years. At baseline, frequency of nonadherence, depressive symptoms and detectable VL was 21%, 21%, and 46%, respectively. Mean stigma score was 25 (SD = 7.0). Each SD stigma score increment was associated with higher risk of depressive symptoms {adjusted relative risk [aRR] 1.31 [95% confidence interval (CI): 1.20-1.44]}, nonadherence [aRR 1.16 (CI: 1.05-1.27)] and detectable VL [aRR 1.20 (CI: 1.08-1.32)]. Experienced and anticipated stigma were associated with detectable VL [aRR 1.16 (CI: 1.10-1.22) and aRR 1.23 (CI: 1.12-1.35), respectively]. Internalized and perceived community stigma were associated with depressive symptoms [aRR 1.31 (CI: 1.21-1.40) and aRR 1.24 (CI: 1.13-1.36), respectively]. CONCLUSIONS:Stigma was associated with depressive symptoms, nonadherence and detectable VL. Interventions to decrease stigma may improve virologic and mental health outcomes in YWH.

BACKGROUND:Human activities have induced unprecedented global shifts in natural systems including the climate, the oceans, cryosphere and biosphere. The impacts of these changes on physical health are clear and are accelerating at an alarming rate. Climate change and its consequences, especially disruptive events like floods, droughts and heat waves also impact the mental health of affected populations, increasing risk for post-traumatic stress, depression and anxiety disorders. However, the impact of climate change on mental health is not well examined and has received less attention than climate's impacts on physical health. GOAL:The paper examines the planetary health-mental health nexus. It assesses the existing state of knowledge on the association between climate events, natural disasters, pollution, access to green space and mental health. It also presents a global analysis of the economic costs of climate-related mental health disorders by developing scenarios estimating the costs of mental illness at the country level predicted to be attributable to changes in environmental factors during the period 2020-2050. FINDINGS:societal costs of mental disorders due to changes in climate-related hazards, air pollution and inadequate access to green space are estimated to be almost US$47 billion annually in 2030. These estimated costs will continue to grow exponentially to US$537 billion in 2050, relative to a baseline scenario in which these environmental factors remain at 2020 levels. CONCLUSIONS:Our scenario analysis shows that the costs associated with climate-related mental health morbidity and mortality are high already and continue to will increase sharply in coming decades. There is need therefore to strengthen the evidence linking climate change to mental health and to prioritize the development of evidence-based and impactful interventions to address the global burden of environment-related mental disorders.

Climate change may affect mental health. We conducted an umbrella review of meta-analyses examining the association between mental health and climate events related to climate change, pollution and green spaces. We searched major bibliographic databases and included meta-analyses with at least five primary studies. Results were summarized narratively. We included 24 meta-analyses on mental health and climate events (n = 13), pollution (n = 11), and green spaces (n = 2) (two meta-analyses provided data on two categories). The quality was suboptimal. According to AMSTAR-2, the overall confidence in the results was high for none of the studies, for three it was moderate, and for the other studies the confidence was low to critically low. The meta-analyses on climate events suggested an increased prevalence of symptoms of post-traumatic stress, depression, and anxiety associated with the exposure to various types of climate events, although the effect sizes differed considerably across study and not all were significant. The meta-analyses on pollution suggested that there may be a small but significant association between PM_2.5, PM₁₀, NO₂, SO₂, CO and mental health, especially depression and suicide, as well as autism spectrum disorders after exposure during pregnancy, but the resulting effect sizes varied considerably. Serious methodological flaws make it difficult to draw credible conclusions. We found reasonable evidence for an association between climate events and mental health and some evidence for an association between pollution and mental disorders. More high-quality research is needed to verify these associations.

INTRODUCTION:Culturally validated neurocognitive measures for children in Low- and Middle-Income Countries are important in the timely and correct identification of neurocognitive impairments. Such measures can inform development of interventions for children exposed to additional vulnerabilities like HIV infection. The Battery for Neuropsychological Evaluation of Children (BENCI) is an openly available, computerized neuropsychological battery specifically developed to evaluate neurocognitive impairment. This study adapted the BENCI and evaluated its reliability and validity in Kenya. METHODOLOGY:The BENCI was adapted using translation and back-translation from Spanish to English. The psychometric properties were evaluated in a case-control study of 328 children (aged 6 - 14 years) living with HIV and 260 children not living with HIV in Kenya. We assessed reliability, factor structure, and measurement invariance with respect to HIV. Additionally, we examined convergent validity of the BENCI using tests from the Kilifi Toolkit. RESULTS: = 135.57, DF = 51, N = 604, p < .001, RMSEA = .052, CFI = .944, TLI = .914) and was partially scalar invariant between HIV positive and negative groups. CONCLUSION:The English version of the BENCI formally translated for use in Kenya can be further adapted and integrated in clinical and research settings as a valid and reliable cognitive test battery.

HIV stigma remains a barrier in achieving optimal HIV treatment. We studied the prevalence and predictors of HIV stigma among adolescents and youth with HIV (AYWHIV) ages 15-24 years in Western Kenya. Of 1011 AYWHIV, 69% were female with a median age of 18 years. Most (59%) attended adolescent clinic days, and 40% attended support groups. One-quarter (27%) had experienced physical, 18% emotional, and 7% sexual violence. The majority of AYWHIV (88%) reported disclosure concerns, 48% reported perceived community stigma, 36% experienced, and 24% internalized stigma. Compared to AYWHIV attending adolescent clinics, those in general/adult clinics had higher internalized stigma. Similarly, having dropped out of school was associated with higher internalized stigma. AYWHIV in sexual relationships had higher experienced stigma and disclosure concerns. Lastly, exposure to violence was associated with higher experienced, internalized, perceived community stigma and disclosure concerns. These risk factors can be targeted when developing stigma-prevention interventions.

OBJECTIVES:There are inconsistencies in the South Africa HIV mortality data reported by Institute of Health Metrics and Evaluation (IHME), Joint United Nations Programme on HIV/AIDS (UNAIDS), and Statistics South Africa (StatsSA) platforms. Between 2006 and 2016, these global data sets (IHME and UNAIDS) show that HIV-related mortalities were improving in South Africa, whereas StatsSA argues the opposite. We explain the causes of this differing stands and highlight areas that may be improved to address such inconsistencies. METHODS:This observational analysis uses data from IHME, UNAIDS, and StatsSA platforms. RESULTS:We demonstrate that IHME and UNAIDS data sets are based on a mathematical compartmental model, which is not dynamic to all HIV epidemiological aspects. Such limitation may cause inflated improvement in HIV mortality outcomes that are not in line with HIV mortality evidence recorded at the household level as demonstrated by StatsSA. CONCLUSION:There is a need to streamline the IHME, UNAIDS, and StatsSA data on HIV to improve the quality of HIV research and programming in South Africa.