Epidemiology of co-infections in tuberculosis patients in Tanzania : HIV, helminth infection and respiratory pathogens

Background: Tuberculosis (TB) caused by Mycobacterium tuberculosis complex is a global public health concern, causing significant morbidity and mortality. The resource limited settings are the worst hit, especially where there is also high burden of co-infections which increase the risk of developing TB and negatively affect TB treatment outcomes. HIV, helminth and respiratory pathogens are prevalent in Tanzania, a country that is in among the top 30 high burden countries as categorized by World Health Organization (WHO). There is epidemiological evidence of increased risk of developing TB with HIV, and little evidence on the association of TB and helminth infection and respiratory pathogens. It is therefore important to understand the epidemiology of TB and co-infections, so that we can design interventions that will address the burden of TB and relevant co-infections. The objectives: The main objective of this PhD thesis was to determine the burden and the association of HIV, helminth and respiratory pathogens (viruses and bacteria) co-infections and TB at Temeke district, Dar es Salaam, Tanzania. The specific objectives were: i) to determine the treatment outcome of TB and HIV co-infected patients routinely diagnosed at Temeke district treated under home- and facility-based direct observed therapy (DOT), ii) to determine the prevalence of helminth infection and respiratory pathogens among smear positive TB cases and household contact controls without TB, iii) to investigate the risk factors for helminth infection and respiratory pathogens among smear-positive TB cases and household contact controls without TB, and iv) to determine the clinical effects of helminth infection and respiratory pathogens on clinical phenotypes and clinical outcomes among smear-positive TB patients. Methods: This PhD is nested within a large TB cohort in Dar es Salaam region (TB-DAR): a prospective collection of clinical data and biological specimens to study the epidemiology of tuberculosis, including molecular epidemiology and the evaluation of new diagnostics and biomarkers). There are two distinctive methodological parts as described below: Objective 1: We obtained anonymized electronic data from the TB district register of all adult TB patients (aged ≥15 years) who were notified between 2010 and 2013 in a single geographical area of two TB sub-districts (Wailes I and Wailes II) in the Temeke district, Dar es Salaam, Tanzania. Objective 2-4: We consecutively enrolled ≥18 years TB patients and household contact controls between November 2013 until October 2015 to reach the required sample size. Any individual living in the same household as the index TB patients enrolled in the study is referred to as a household contact control. Controls at recruitment were free of symptoms and signs suggestive of TB, healthy on physical examination, and had a negative Xpert MTB/RIF result (Cepheid; California, USA). We collected sputum, nasopharyngeal swabs, stool and urine samples from TB patients and household controls at recruitment. Löwenstein-Jensen mycobacterial culture was used to confirm TB. Kato-katz and Bearman methods for detection of soil transmitted helminths infections from stool. Urine filtration and Circulating Cathodic Antigen (CCA) assay for detection of Schistosomiasis. Nasopharyngeal swabs samples were analyzed using Allplex™ Respiratory full panel assay and PCR Anyplex™II RV16 for detection of respiratory bacterial and viral pathogens respectively. Principle findings: In a study to determine the treatment outcome of TB and HIV co-infected patients routinely diagnosed at Temeke district treated under home- and facility-based DOT: data of 4,835 adult TB patients were analyzed, with a median age of 35 years, 2,943 (60.9%) were men and TB/HIV co-infection prevalence of 39.9%. A total of 3,593 (74.3%) patients were treated under home-based DOT. Patients on home-based DOT were more likely to die compared to patients on facility-based DOT (RR 2.04, 95% Confidence Interval [95% CI]: 1.52-2.73), and more likely to complete TB treatment (RR 1.14, 95% CI: 1.06-1.23), but less likely to have a successful treatment outcome (RR 0.94, 95% CI: 0.92-0.97). Home-based DOT was preferred by women (adjusted Odds Ratio [aOR] 1.55, 95% CI: 1.34-1.80, p<0.001), older people (aOR 1.01 for each year increase, 95% CI: 1.00-1.02, p=0.001) and patients with extra-pulmonary TB (aOR 1.45, 95% CI: 1.16-1.81, p=0.001), but less frequently by patients on a retreatment regimen (aOR 0.12, 95% CI: 0.08-0.19, p<0.001). In a study to assess the association of TB and helminth infection: a total of 597 TB patients and 375 household contact controls were included. The median age was 33 years and 60.2% (585/972) were men. The prevalence of any helminth infection among TB patients was 31.8% (190/597) and 25.9% (97/375) among controls. Strongyloides stercoralis was the predominant helminth species (16.6%, 161), followed by hookworm (9.0%, 87) and Schistosoma mansoni (5.7%, 55). An infection with any helminth was not associated with TB (aOR 1.26, 95% CI: 0.88-1.80, p=0.22), but S. mansoni infection was (aOR 2.15, 95% CI: 1.03-4.45, p=0.040). Moreover, S. mansoni infection was associated with lower sputum bacterial load (aOR 2.63, 95% CI: 1.38-5.26, p=0.004) and tended to have fewer lung cavitations (aOR 0.41, 95% CI: 0.12-1.16, p=0.088). When assessing the interaction between TB and respiratory pathogens: we analyzed 794 study participants, of which 489 (61.6%) were TB patients and 305 (38.4%) were household contact controls. The median age of the study participants was 33 years; 61% (484/794) were men, and 21% (168/ 794) were HIV-positive. TB patients had a higher prevalence of HIV (28.6%; 140/489) than controls (9.2%; 28/305). Overall prevalence of respiratory viral pathogens was 20.4% (160/794; 95%CI 17.7-23.3%) and of bacterial pathogens 38.2% (303/794; 95%CI 34.9-41.6%). TB patients and controls did not differ in the prevalence of respiratory viruses (Odds Ratio [OR] 1.00, 95%CI 0.71-1.44), but respiratory bacteria were less frequently detected in TB patients (OR 0.70, 95%CI 0.53-0.94). TB patients with both respiratory viruses and respiratory bacteria were likely to have more severe disease (adjusted OR [aOR] 1.6, 95%CI 1.1-2.4; p=0.011). TB patients with respiratory viruses tended to have more frequent lung cavitations (aOR 1.6, 95%CI 0.93-2.7; p=0.089). Conclusion: TB patients under home-based DOT had more risk factors for death such as older age, HIV infection and sputum smear-negative TB, and had higher TB mortality compared to patients under facility-based DOT. Assessment of TB mortality risk factors and offering additional clinical care could be beneficial in reducing TB mortality. Further operational research is warranted to monitor implementation of DOT and discern other risk factors for deaths. S. mansoni infection was an independent risk factor for active TB and altered the clinical presentation in TB patients. S. mansoni infection may play a role in TB pathogenesis in humans. Bidirectional screening of TB and helminth including treatment for both diseases should be considered in a clinical management of patients. Respiratory viruses are common for both TB patients and household controls. TB patients may present with more severe TB disease, particularly when they are co- infected with both bacteria and viruses

Trends in HIV/AIDS morbidity and mortality in Eastern 3 Mediterranean countries, 1990–2015: findings from the Global 4 Burden of Disease 2015 study

Objectives We used the results of the Global Burden of Disease 2015 study to estimate trends of HIV/AIDS burden in Eastern Mediterranean Region (EMR) countries between 1990 and 2015. Methods Tailored estimation methods were used to produce final estimates of mortality. Years of life lost (YLLs) were calculated by multiplying the mortality rate by population by age-specific life expectancy. Years lived with disability (YLDs) were computed as the prevalence of a sequela multiplied by its disability weight. Results In 2015, the rate of HIV/AIDS deaths in the EMR was 1.8 (1.4–2.5) per 100,000 population, a 43% increase from 1990 (0.3; 0.2–0.8). Consequently, the rate of YLLs due to HIV/AIDS increased from 15.3 (7.6–36.2) per 100,000 in 1990 to 81.9 (65.3–114.4) in 2015. The rate of YLDs increased from 1.3 (0.6–3.1) in 1990 to 4.4 (2.7–6.6) in 2015. Conclusions HIV/AIDS morbidity and mortality increased in the EMR since 1990. To reverse this trend and achieve epidemic control, EMR countries should strengthen HIV surveillance,and scale up HIV antiretroviral therapy and comprehensive prevention services

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015

Forouzanfar MH, Afshin A, Alexander LT, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. LANCET. 2016;388(10053):1659-1724.Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors-the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57.8% (95% CI 56.6-58.8) of global deaths and 41.2% (39.8-42.8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211.8 million [192.7 million to 231.1 million] global DALYs), smoking (148.6 million [134.2 million to 163.1 million]), high fasting plasma glucose (143.1 million [125.1 million to 163.5 million]), high BMI (120.1 million [83.8 million to 158.4 million]), childhood undernutrition (113.3 million [103.9 million to 123.4 million]), ambient particulate matter (103.1 million [90.8 million to 115.1 million]), high total cholesterol (88.7 million [74.6 million to 105.7 million]), household air pollution (85.6 million [66.7 million to 106.1 million]), alcohol use (85.0 million [77.2 million to 93.0 million]), and diets high in sodium (83.0 million [49.3 million to 127.5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Copyright (C) The Author(s). Published by Elsevier Ltd

Measuring the health-related Sustainable Development Goals in 188 countries : a baseline analysis from the Global Burden of Disease Study 2015

Background In September, 2015, the UN General Assembly established the Sustainable Development Goals (SDGs). The SDGs specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. We provide an analysis of 33 health-related SDG indicators based on the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015). Methods We applied statistical methods to systematically compiled data to estimate the performance of 33 health-related SDG indicators for 188 countries from 1990 to 2015. We rescaled each indicator on a scale from 0 (worst observed value between 1990 and 2015) to 100 (best observed). Indices representing all 33 health-related SDG indicators (health-related SDG index), health-related SDG indicators included in the Millennium Development Goals (MDG index), and health-related indicators not included in the MDGs (non-MDG index) were computed as the geometric mean of the rescaled indicators by SDG target. We used spline regressions to examine the relations between the Socio-demographic Index (SDI, a summary measure based on average income per person, educational attainment, and total fertility rate) and each of the health-related SDG indicators and indices. Findings In 2015, the median health-related SDG index was 59.3 (95% uncertainty interval 56.8-61.8) and varied widely by country, ranging from 85.5 (84.2-86.5) in Iceland to 20.4 (15.4-24.9) in Central African Republic. SDI was a good predictor of the health-related SDG index (r(2) = 0.88) and the MDG index (r(2) = 0.2), whereas the non-MDG index had a weaker relation with SDI (r(2) = 0.79). Between 2000 and 2015, the health-related SDG index improved by a median of 7.9 (IQR 5.0-10.4), and gains on the MDG index (a median change of 10.0 [6.7-13.1]) exceeded that of the non-MDG index (a median change of 5.5 [2.1-8.9]). Since 2000, pronounced progress occurred for indicators such as met need with modern contraception, under-5 mortality, and neonatal mortality, as well as the indicator for universal health coverage tracer interventions. Moderate improvements were found for indicators such as HIV and tuberculosis incidence, minimal changes for hepatitis B incidence took place, and childhood overweight considerably worsened. Interpretation GBD provides an independent, comparable avenue for monitoring progress towards the health-related SDGs. Our analysis not only highlights the importance of income, education, and fertility as drivers of health improvement but also emphasises that investments in these areas alone will not be sufficient. Although considerable progress on the health-related MDG indicators has been made, these gains will need to be sustained and, in many cases, accelerated to achieve the ambitious SDG targets. The minimal improvement in or worsening of health-related indicators beyond the MDGs highlight the need for additional resources to effectively address the expanded scope of the health-related SDGs.Peer reviewe

Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015 : a systematic analysis for the Global Burden of Disease Study 2015

Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015. These results informed an in-depth investigation of observed and expected mortality patterns based on sociodemographic measures. Methods We estimated all-cause mortality by age, sex, geography, and year using an improved analytical approach originally developed for GBD 2013 and GBD 2010. Improvements included refinements to the estimation of child and adult mortality and corresponding uncertainty, parameter selection for under-5 mortality synthesis by spatiotemporal Gaussian process regression, and sibling history data processing. We also expanded the database of vital registration, survey, and census data to 14 294 geography-year datapoints. For GBD 2015, eight causes, including Ebola virus disease, were added to the previous GBD cause list for mortality. We used six modelling approaches to assess cause-specific mortality, with the Cause of Death Ensemble Model (CODEm) generating estimates for most causes. We used a series of novel analyses to systematically quantify the drivers of trends in mortality across geographies. First, we assessed observed and expected levels and trends of cause-specific mortality as they relate to the Socio-demographic Index (SDI), a summary indicator derived from measures of income per capita, educational attainment, and fertility. Second, we examined factors affecting total mortality patterns through a series of counterfactual scenarios, testing the magnitude by which population growth, population age structures, and epidemiological changes contributed to shifts in mortality. Finally, we attributed changes in life expectancy to changes in cause of death. We documented each step of the GBD 2015 estimation processes, as well as data sources, in accordance with Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, life expectancy from birth increased from 61.7 years (95% uncertainty interval 61.4-61.9) in 1980 to 71.8 years (71.5-72.2) in 2015. Several countries in sub-Saharan Africa had very large gains in life expectancy from 2005 to 2015, rebounding from an era of exceedingly high loss of life due to HIV/AIDS. At the same time, many geographies saw life expectancy stagnate or decline, particularly for men and in countries with rising mortality from war or interpersonal violence. From 2005 to 2015, male life expectancy in Syria dropped by 11.3 years (3.7-17.4), to 62.6 years (56.5-70.2). Total deaths increased by 4.1% (2.6-5.6) from 2005 to 2015, rising to 55.8 million (54.9 million to 56.6 million) in 2015, but age-standardised death rates fell by 17.0% (15.8-18.1) during this time, underscoring changes in population growth and shifts in global age structures. The result was similar for non-communicable diseases (NCDs), with total deaths from these causes increasing by 14.1% (12.6-16.0) to 39.8 million (39.2 million to 40.5 million) in 2015, whereas age-standardised rates decreased by 13.1% (11.9-14.3). Globally, this mortality pattern emerged for several NCDs, including several types of cancer, ischaemic heart disease, cirrhosis, and Alzheimer's disease and other dementias. By contrast, both total deaths and age-standardised death rates due to communicable, maternal, neonatal, and nutritional conditions significantly declined from 2005 to 2015, gains largely attributable to decreases in mortality rates due to HIV/AIDS (42.1%, 39.1-44.6), malaria (43.1%, 34.7-51.8), neonatal preterm birth complications (29.8%, 24.8-34.9), and maternal disorders (29.1%, 19.3-37.1). Progress was slower for several causes, such as lower respiratory infections and nutritional deficiencies, whereas deaths increased for others, including dengue and drug use disorders. Age-standardised death rates due to injuries significantly declined from 2005 to 2015, yet interpersonal violence and war claimed increasingly more lives in some regions, particularly in the Middle East. In 2015, rotaviral enteritis (rotavirus) was the leading cause of under-5 deaths due to diarrhoea (146 000 deaths, 118 000-183 000) and pneumococcal pneumonia was the leading cause of under-5 deaths due to lower respiratory infections (393 000 deaths, 228 000-532 000), although pathogen-specific mortality varied by region. Globally, the effects of population growth, ageing, and changes in age-standardised death rates substantially differed by cause. Our analyses on the expected associations between cause-specific mortality and SDI show the regular shifts in cause of death composition and population age structure with rising SDI. Country patterns of premature mortality (measured as years of life lost [YLLs]) and how they differ from the level expected on the basis of SDI alone revealed distinct but highly heterogeneous patterns by region and country or territory. Ischaemic heart disease, stroke, and diabetes were among the leading causes of YLLs in most regions, but in many cases, intraregional results sharply diverged for ratios of observed and expected YLLs based on SDI. Communicable, maternal, neonatal, and nutritional diseases caused the most YLLs throughout sub-Saharan Africa, with observed YLLs far exceeding expected YLLs for countries in which malaria or HIV/AIDS remained the leading causes of early death. Interpretation At the global scale, age-specific mortality has steadily improved over the past 35 years; this pattern of general progress continued in the past decade. Progress has been faster in most countries than expected on the basis of development measured by the SDI. Against this background of progress, some countries have seen falls in life expectancy, and age-standardised death rates for some causes are increasing. Despite progress in reducing age-standardised death rates, population growth and ageing mean that the number of deaths from most non-communicable causes are increasing in most countries, putting increased demands on health systems. Copyright (C) The Author(s). Published by Elsevier Ltd.Peer reviewe

Facilitators and barriers in implementation of active TB drug safety monitoring and management (aDSM) in programmatic management of drug resistance TB in Dar es Salaam region.

BackgroundWorld Health Organization (WHO) recommends that active TB Dug Safety Monitoring and Management (aDSM) be adopted in countries' programmatic management of DR-TB services. In Tanzania, the National TB Leprosy Programme (NTLP), under the ministry of health, adopted the aDSM component in 2018. The study evaluated the facilitators and barriers of aDSM implementation in Dar es Salaam.Materials and methodsThis was a process evaluation study that adapted the descriptive cross-sectional approach, conducted in Dar es Salaam region. A total of 19 respondents, including clinicians, DOT (Direct Observed Therapy) nurses and key NTLP personnel, were interviewed using interview guides. Qualitative content analysis based on Graneheim & Lundman was used to guide the analysis.ResultsFor aDSM to be implemented in a health facility, tools like forms for recoding and reporting, access to a functional laboratory for carrying out the required monitoring tests are a necessity. Moreover, the NTLP monitors the implementation through received aDSM reports and DR-TB supportive supervisions. However, it was found that in many health facilities, aDSM was partially being implemented due to various barriers: inadequate trained staff for aDSM implementation, administrative burden in reporting and delaying in AE management.ConclusionaDSM is inadequately being implemented due to the many setbacks faced by HCWs. aDSM-specific supportive supervisions and trainings to HCWs; incorporating the current manual aDSM reporting flow into the already existing electronic (Tanzania Medicine and Medical Drugs Authority) TMDA database seems useful

S1 File -

BackgroundWorld Health Organization (WHO) recommends that active TB Dug Safety Monitoring and Management (aDSM) be adopted in countries’ programmatic management of DR-TB services. In Tanzania, the National TB Leprosy Programme (NTLP), under the ministry of health, adopted the aDSM component in 2018. The study evaluated the facilitators and barriers of aDSM implementation in Dar es Salaam.Materials and methodsThis was a process evaluation study that adapted the descriptive cross-sectional approach, conducted in Dar es Salaam region. A total of 19 respondents, including clinicians, DOT (Direct Observed Therapy) nurses and key NTLP personnel, were interviewed using interview guides. Qualitative content analysis based on Graneheim & Lundman was used to guide the analysis.ResultsFor aDSM to be implemented in a health facility, tools like forms for recoding and reporting, access to a functional laboratory for carrying out the required monitoring tests are a necessity. Moreover, the NTLP monitors the implementation through received aDSM reports and DR-TB supportive supervisions. However, it was found that in many health facilities, aDSM was partially being implemented due to various barriers: inadequate trained staff for aDSM implementation, administrative burden in reporting and delaying in AE management.ConclusionaDSM is inadequately being implemented due to the many setbacks faced by HCWs. aDSM-specific supportive supervisions and trainings to HCWs; incorporating the current manual aDSM reporting flow into the already existing electronic (Tanzania Medicine and Medical Drugs Authority) TMDA database seems useful.</div

Antidiabetic medication adherence and associated factors among patients in Botswana; implications for the future

Background: Diabetes mellitus (DM) is a major global public health problem. Lack of adherence to medication causes suboptimal glycemic control increasing complication rates, costs and mortality. The objective of the study was to determine current antidiabetic medication adherence in Botswana and assess associated factors so as to direct potential future interventions. Materials and methods: A cross-sectional study among 376 randomly selected diabetic patients attending a leading clinic in Gaborone, Botswana. Eight item Morisky Medication adherence questionnaire was used to assess antidiabetic medication adherence. A structured questionnaire was also used to collect information on factors influencing adherence including age, gender, education, type and duration of diabetes, treatment, complications and HIV status. Data were entered and analyzed using STATA Version 14, and logistic regression performed. Results: Over forty percent (41.8%) of patients were non-adherent to antidiabetic medications. Studied sociodemographic characteristics and clinical variables did not affect adherence. HIV positive status was associated with a statistically significant better adherence at multivariate analysis. Conclusion: Adherence to antidiabetic medication was found to be suboptimal in a setting where medicines are provided free of charge. Only HIV positivity was found to be significantly associated with better adherence, probably due to effect of greater psychosocial support and counselling as part of HIV treatment. There is a need to carry out studies to further improve understanding of factors associated with medication adherence that are pertinent to Botswana and similar settings given the growing prevalence of diabetes

Adolescent health in the Eastern Mediterranean Region : findings from the global burden of disease 2015 study

The 22 countries of the East Mediterranean Region (EMR) have large populations of adolescents aged 10-24 years. These adolescents are central to assuring the health, development, and peace of this region. We described their health needs. Using data from the Global Burden of Disease Study 2015 (GBD 2015), we report the leading causes of mortality and morbidity for adolescents in the EMR from 1990 to 2015. We also report the prevalence of key health risk behaviors and determinants. Communicable diseases and the health consequences of natural disasters reduced substantially between 1990 and 2015. However, these gains have largely been offset by the health impacts of war and the emergence of non-communicable diseases (including mental health disorders), unintentional injury, and self-harm. Tobacco smoking and high body mass were common health risks amongst adolescents. Additionally, many EMR countries had high rates of adolescent pregnancy and unmet need for contraception. Even with the return of peace and security, adolescents will have a persisting poor health profile that will pose a barrier to socioeconomic growth and development of the EMR.Peer reviewe