An overview of mild traumatic brain injuries and emerging therapeutic targets.

The majority of traumatic brain injuries (TBIs), approximately 90%, are classified as mild (mTBIs). Globally, an estimated 4 million injuries occur each year from concussions or mTBIs, highlighting their significance as a public health crisis. TBIs can lead to substantial long-term health consequences, including an increased risk of developing Alzheimer's Disease, Parkinson's Disease (PD), chronic traumatic encephalopathy (CTE), and nearly doubling one's risk of suicide. However, the current management of mTBIs in clinical practice and the available treatment options are limited. There exists an unmet need for effective therapy. This review addresses various aspects of mTBIs based on the most up-to-date literature review, with the goal of stimulating translational research to identify new therapeutic targets and improve our understanding of pathogenic mechanisms. First, we provide a summary of mTBI symptomatology and current diagnostic parameters such as the Glasgow Coma Scale (GCS) for classifying mTBIs or concussions, as well as the utility of alternative diagnostic parameters, including imaging techniques like MRI with diffusion tensor imaging (DTI) and serum biomarkers such as S100B, NSE, GFAP, UCH-L1, NFL, and t-tau. Our review highlights several pre-clinical concussion models employed in the study of mTBIs and the underlying cellular mechanisms involved in mTBI-related pathogenesis, including axonal damage, demyelination, inflammation, and oxidative stress. Finally, we examine a selection of new therapeutic targets currently under investigation in pre-clinical models. These targets may hold promise for clinical translation and address the pressing need for more effective treatments for mTBIs.

Physics-informed deep learning framework to model intense precipitation events at super resolution.

Physical modeling of precipitation at fine (sub-kilometer) spatial scales is computationally very expensive. This study develops a highly efficient framework for this task by coupling deep learning (DL) and physical modeling. This framework is developed and tested using regional climate simulations performed over a domain covering Montreal and adjoining regions, for the summers of 2015-2020, at 2.5 km and 250 m resolutions. The DL framework uses a recurrent approach and considers atmospheric physical processes, such as advection, to generate high-resolution information from low-resolution data, which enables it to recreate fine details and produce temporally consistent fields. The DL framework generates realistic high-resolution precipitation estimates, including intense short-duration precipitation events, which allows it to be applied in engineering problems, such as evaluating the climate resiliency of urban storm drainage systems. The results portray the value of the proposed DL framework, which can be extended to other resolutions, periods, and regions.

Characterizing epidemiology of prediabetes, diabetes, and hypertension in Qataris: A cross-sectional study.

OBJECTIVES: To characterize the epidemiologic profiles of prediabetes mellitus (preDM), diabetes mellitus (DM), and hypertension (HTN) in Qataris using the nationally representative 2012 Qatar STEPwise Survey. METHODS: A secondary data analysis of a cross-sectional survey that included 2,497 Qatari nationals aged 18-64 years. Descriptive and analytical statistical analyses were conducted. RESULTS: Prevalence of preDM, DM, and HTN in Qataris aged 18-64 years was 11.9% (95% confidence interval [CI] 9.6%-14.7%), 10.4% (95% CI 8.4%-12.9%), and 32.9% (95% CI 30.4%-35.6%), respectively. Age was the common factor associated with the three conditions. Adjusted analyses showed that unhealthy diet (adjusted odds ratio (aOR) = 1.84, 95% CI 1.01-3.36) was significantly associated with preDM; that physical inactivity (aOR = 1.66, 95% CI 1.12-2.46), central obesity (aOR = 2.08, 95% CI 1.02-4.26), and HTN (aOR = 2.18, 95% CI 1.40-3.38) were significantly associated with DM; and that DM (aOR = 2.07, 95% CI 1.34-3.22) was significantly associated with HTN. Population attributable fraction of preDM associated with unhealthy diet was 7.7%; of DM associated with physical inactivity, central obesity, and HTN, respectively, was 14.9%, 39.8%, and 17.5%; and of HTN associated with DM was 3.0%. CONCLUSIONS: One in five Qataris is living with either preDM or DM, and one in three is living with HTN, conditions that were found to be primarily driven by lifestyle factors. Prevention, control, and management of these conditions should be a national priority to reduce their disease burden and associated disease sequelae.

Adherence to the Qatar dietary guidelines: a cross-sectional study of the gaps, determinants and association with cardiometabolic risk amongst adults.

BACKGROUND: The Qatar Dietary Guidelines (QDGs) were developed as part of the national strategy to prevent chronic diseases. This study aims at characterizing gaps between the QDGs and usual dietary and lifestyle patterns in Qatar, identifying demographic and socioeconomic determinants of adherence to the QDGs and investigating the association between adherence and cardiometabolic risk. METHODS: This study is based on the Qatar National STEPwise cross-sectional survey which was conducted on a nationally representative sample of Qatari adults, aged 18 to 64 years (n = 1109). Data collection included socio-demographic characteristics, lifestyle factors, anthropometric (weight, height and waist circumference (WC)), and blood pressure measurements. The dietary intake of participants was evaluated using a non-quantitative food frequency questionnaire (FFQ). Biochemical assessment was performed to measure the fasting levels of blood sugar, triglycerides (TG) and HDL cholesterol. The metabolic syndrome (MetS) was defined as the presence of three or more cardiometabolic risk factors. To examine adherence to the guidelines, each specifc recommendation was matched to corresponding data drawn from the survey. To investigate the association of sociodemographic, lifestyle and cardiometabolic characteristics with adherence to the QDGs, an adherence score was calculated. RESULTS: More than 83% of adults did not meet the recommendations for vegetables, fruits, whole grains, legumes and high fibre intakes, 70% were overweight or obese, 50-72% reported frequent consumption of sweetened beverages and sweets, and 47% reported frequent consumption of fast foods. Younger adults, the unemployed, the least educated and those not married had lower adherence to the QDGs. Adherence was inversely associated with elevated WC (OR: 0.88, 95% CI:0.82-0.95) and the MetS (OR:0.84,95% CI:0.74-0.96). CONCLUSIONS: Building on the identified gaps and vulnerable population groups, the study findings should provide a road map for the prioritization of interventions and the development of culture- specific programs aiming at promoting adherence to dietary guidelines in Qatar, while serving as a model to other countries in the region.

A 'High Risk' Lifestyle Pattern Is Associated with Metabolic Syndrome among Qatari Women of Reproductive Age: A Cross-Sectional National Study.

This study investigated the effect of lifestyle patterns, as a combination of diet, physical activity and smoking, on Metabolic Syndrome (MetS) among Qatari women of childbearing age (n = 418), a population group particularly vulnerable to the health sequela of this syndrome. Using data from the National WHO STEPwise survey conducted in Qatar in 2012, Principal Component Factor Analysis was performed to derive lifestyle patterns with survey variables related to the frequency of consumption of 13 foods/food groups, physical activity levels, and smoking status. MetS was diagnosed using ATPIII criteria. Three lifestyle patterns were identified: 'High Risk' pattern, characterized by intakes of fast foods, sweets and sugar sweetened beverages, in addition to lower levels of physical activity and higher smoking prevalence; 'Prudent' pattern, driven mainly by higher intakes of fruits, vegetables, fish, and whole grains; and 'Traditional' pattern which included beans, meat, dairy products, and a low prevalence of smoking. Among these three lifestyle patterns, only the 'High Risk' was associated with MetS, whereby subjects belonging to the third tertile of this pattern's score had 2.5 times the odds of MetS compared to those belonging to the first tertile. The findings of this study demonstrated the synergy among high risk behaviors among Qatari women in increasing the odds of MetS; the latter being a major risk factor for cardiovascular diseases.

Lifestyle Patterns Are Associated with Elevated Blood Pressure among Qatari Women of Reproductive Age: A Cross-Sectional National Study.

Women of childbearing age are particularly vulnerable to the adverse effects of elevated blood pressure (BP), with dietary and lifestyle habits being increasingly recognized as important modifiable environmental risk factors for this condition. Using data from the National STEPwise survey conducted in Qatar in year 2012, we aimed to examine lifestyle patterns and their association with elevated BP among Qatari women of childbearing age (18-45 years). Socio-demographic, lifestyle, dietary, anthropometric and BP data were used (n = 747). Principal component factor analysis was applied to identify the patterns using the frequency of consumption of 13 foods/food groups, physical activity level, and smoking status. Multivariate logistic regression analyses were used to evaluate the association of the identified lifestyle patterns with elevated BP and to examine the socio-demographic correlates of these patterns. Three lifestyle patterns were identified: a "healthy" pattern characterized by intake of fruits, natural juices, and vegetables; a "fast food & smoking" pattern characterized by fast foods, sweetened beverages, and sweets, in addition to smoking; and a "traditional sedentary" pattern which consisted of refined grains, dairy products, and meat in addition to low physical activity. The fast food & smoking and the traditional & sedentary patterns were associated with an approximately 2-fold increase in the risk of elevated BP in the study population. The findings of this study highlight the synergistic effect that diet, smoking and physical inactivity may have on the risk of elevated BP among Qatari women.

Change in the structures, dynamics and disease-related mortality rates of the population of Qatari nationals: 2007-2011.

BACKGROUND: Developing effective public health policies and strategies for interventions necessitates an assessment of the structure, dynamics, disease rates and causes of death in a population. Lately, Qatar has undertaken development resurgence in health and economy that resulted in improving the standard of health services and health status of the entire Qatari population (i.e., Qatari nationals and non-Qatari residents). No study has attempted to evaluate the population structure/dynamics and recent changes in disease-related mortality rates among Qatari nationals. OBJECTIVE: The present study examines the population structure/dynamics and the related changes in the cause-specific mortality rates and disease prevalence in the Qatari nationals. METHODS: This is a retrospective, analytic descriptive analysis covering a period of 5years (2007-2011) and utilizes a range of data sources from the State of Qatar including the population structure, disease-related mortality rates, and the prevalence of a range of chronic and infectious diseases. Factors reflecting population dynamics such as crude death (CDR), crude birth (CBR), total fertility (TFR) and infant mortality (IMR) rates were also calculated. RESULTS: The Qatari nationals is an expansive population with an annual growth rate of ∼4% and a stable male:female ratio. The CDR declined by 15% within the study period, whereas the CBR was almost stable. The total disease-specific death rate, however, was decreased among the Qatari nationals by 23% due to the decline in mortality rates attributed to diseases of the blood and immune system (43%), nervous system (44%) and cardiovascular system (41%). There was a high prevalence of a range of chronic diseases, whereas very low frequencies of the infectious diseases within the study population. CONCLUSION: Public health strategies, approaches and programs developed to reduce disease burden and the related death, should be tailored to target the population of Qatari nationals which exhibits characteristics that vary from the entire Qatari population.

Retrofitting a stormwater retention pond using a deflector island.

Stormwater retention ponds are one of the principal methods to treat stormwater runoff. Analysis of residence time distribution (RTD) curves can be used to evaluate the capability of these ponds for sediment removal. Deflector islands have been suggested as a means of improving the performance of retention ponds, due to their diffusing the inlet jet. In this study, the effect of an island on retention pond performance was investigated using a physical model of an existing stormwater retention pond. The physical model is a trapezoidal pond having top dimensions 4.1 x 1.5 x 0.23 m and side slopes of 2:1 (h:v). Three different arrangements were studied. The results show that placing an island to deflect the influent to a stormwater retention pond does not improve pond performance, rather it stimulates short-circuiting. This unexpected behaviour, in relation to previous studies, is considered to be a consequence of the model pond incorporating sloping walls; which is a novel aspect of this paper.