The impact of overweight and obesity on health outcomes in the United States from 1990 to 2021.

AIM: Elevated body mass index (BMI) presents a significant public health challenge in the United States, contributing to considerable morbidity, mortality and economic burden. This study investigates the health burden of overweight and obesity in the United States from 1990 to 2021, leveraging the Global Burden of Disease data set to analyse trends, disparities and potential determinants of high BMI-related health outcomes. MATERIALS AND METHODS: Our study focused on the United States, analysing trends in disability-adjusted life years (DALY) and deaths attributable to high BMI, defined as a BMI of 25 kg/m2 or higher for adults. Statistical analyses included estimated annual percentage change (EAPC) in age-standardized DALY rates and age-standardized death rates. Pearson correlation was performed between EAPCs and the socio-demographic index (SDI), with significance set at p < 0.05. RESULTS: From 1990 to 2021, age-standardized DALY rates attributable to high BMI increased by 24.9%, whereas the age-standardized death rates increased by 5.2%. Age disparities showed DALYs peaking at 60-64 years for males and 65-69 years for females, with deaths peaking at 65-69 years for males and 90-94 years for females. A strong negative correlation was found between the EAPC in age-standardized DALY and death rates and the SDI. CONCLUSIONS: Overweight and obesity significantly impact public health in the United States, especially among older adults and lower socio-demographic regions. Comprehensive public health strategies integrating behavioural, technological and environmental interventions are crucial. Future research should focus on longitudinal studies, personalized interventions and policy-driven approaches to address the multifaceted influences on high BMI.

Temporal trends in lower extremity amputation in Middle East and North Africa (MENA) region: analysis of the GBD dataset 1990-2019.

BACKGROUND: Lower extremity amputations (LEAs) significantly contribute to mortality and morbidity, often resulting from peripheral artery disease and diabetes mellitus (DM). Traumatic injuries also account for many LEAs. Despite the global burden, the epidemiology of LEAs, particularly in the Middle East and North Africa (MENA) region, remains underexplored. This study utilizes the Global Burden of Disease (GBD) dataset to analyze temporal trends in LEAs in the MENA region from 1990 to 2019. METHODS: The study utilized the 2019 GBD dataset, which includes estimates for incidence, prevalence, and disability-adjusted life-years (DALYs) across 369 diseases. Age-standardized incidence rates (ASIRs) for LEAs were extracted for 21 MENA countries. Trends were analyzed using percentage change calculations and Joinpoint regression to identify significant shifts in LEA rates over time. RESULTS: From 1990 to 2019, male LEA rates generally decreased, while female rates increased. Significant increases in LEA rates were observed in Syria, Yemen, and Afghanistan, correlating with periods of conflict and instability. Conversely, countries like Iraq, Palestine, Sudan, Lebanon, Iran, and Kuwait saw marked decreases. The study highlighted a complex interplay of socio-political factors, natural disasters, and chronic diseases like DM in shaping LEA trends across the region. CONCLUSION: The study reveals variable LEA trends in the MENA region, influenced by conflicts, natural disasters, and chronic diseases. These findings underscore the need for targeted public health interventions, improved healthcare access, and robust data collection systems to reduce the burden of LEAs and improve patient outcomes in the MENA region.

Role of ammonia and glutamine in the pathogenesis and progression of metabolic dysfunction-associated steatotic liver disease: A systematic review.

Metabolic dysfunction-associated steatotic liver disease (MASLD) affects over 30% of the global population, with a significant risk of advancing to liver cirrhosis and hepatocellular carcinoma. The roles of ammonia and glutamine in MASLD's pathogenesis are increasingly recognized, prompting this systematic review. This systematic review was conducted through a meticulous search of literature on December 21, 2023, across five major databases, focusing on studies that addressed the relationship between ammonia or glutamine and MASLD. The quality of the included studies was evaluated using CASP checklists. This study is officially registered in the PROSPERO database (CRD42023495619) and was conducted without external funding or sponsorship. Following PRISMA guidelines, 13 studies were included in this review. The studies were conducted globally, with varying sample sizes and study designs. The appraisal indicated a mainly low bias, confirming the reliability of the evidence. Glutamine's involvement in MASLD emerged as multifaceted, with its metabolic role being critical for liver function and disease progression. Variable expressions of glutamine synthetase and glutaminase enzymes highlight metabolic complexity whereas ammonia's impact through urea cycle dysfunction suggests avenues for therapeutic intervention. However, human clinical trials are lacking. This review emphasizes the necessity of glutamine and ammonia in understanding MASLD and identifies potential therapeutic targets. The current evidence, while robust, points to the need for human studies to corroborate preclinical findings. A personalized approach to treatment, informed by metabolic differences in MASLD patients, is advocated, alongside future large-scale clinical trials for a deeper exploration into these metabolic pathways.

The burden of Cardiovascular diseases in Jordan: a longitudinal analysis from the global burden of disease study, 1990-2019.

BACKGROUND: Cardiovascular Disease (CVD) is the leading cause of mortality worldwide. While countries in the Arab world continue to lack public health data and be severely understudied in health research, previous research has shown that compared to 1990, CVDs had a higher burden of disease in the Arab World in 2010. Jordan, a middle-income Arab country, is profiled with unique attributes such as a dual-sector healthcare system, political stability, and its role as a haven for refugees and migrants. These distinctive factors emphasize Jordan's suitability as a case study. This investigation aims to quantify CVD burden in Jordan and identify risk factors, contributing to a broader understanding of health challenges in the Arab region and beyond. METHODS: The Global Burden of Disease (GBD) dataset was used to estimate prevalence, death, and disability-adjusted life-years (DALYs) as age-standardized rates from 1990 to 2019. We calculated percentage change for nine specific CVDs and reported trends by gender and age groups. Additionally, data on twelve a priori selected behavioral, clinical, and environmental risk factors attributing to overall age-standardized CVDs DALY were reported per 100,00 population. RESULTS: In 2019, the age-standardized CVD prevalence, death, and DALYs rates in Jordan were 7980 (95% uncertainty interval [UI] 7629, 8360), 248 (95% UI 211, 288), and 4647 (95% UI 4028, 5388), respectively. Despite an increase in the absolute number of mortality and prevalence, between 1990 and 2019, the age-standardized prevalence, death, and DALYs rates all decreased by 5.5%, 45.1%, and 46.7%, respectively. In 2019, the leading risk factors contributing to overall age-standardized CVDs DALY per 100,000 population were high systolic blood pressure, high BMI, dietary risks, and high LDL cholesterol. CONCLUSION: Despite decreasing burden rate of CVDs in Jordan between 1990 and 2019, CVDs remain the leading cause of mortality in Jordan, with an increase in the total number of prevalence and mortality. Overall, this contributes to increased healthcare costs. Further research is required to quantify the burden of CVDs and understand it better. Intervention measures and policies tailored to specific CVDs should be designed to reduce the burden of CVDs in Jordan.

From Fear to Resilience: A Scoping Review of Psychological Components in Anterior Cruciate Ligament Rehabilitation.

CONTEXT: Anterior cruciate ligament (ACL) injuries, prevalent in athletic contexts have profound physical and psychological impacts. Despite extensive research on the physiological aspects of ACL recovery, the psychological dimensions of this process have gained increased attention. This scoping review delves into the intricate landscape of psychological factors influencing ACL rehabilitation. DESIGN: Scoping review. METHODS: A literature search across multiple databases was conducted to identify relevant published studies that provide insight into the psychological aspects of ACL recovery. This search spanned various study designs, enabling a nuanced understanding of the psychological intricacies surrounding ACL recovery. Overall, a total of 1830 unique articles were screened, of which 66 were included in this review. Our findings are further contextualized through alignment with insights from prior reviews on similar themes. Through a comprehensive analysis of diverse literature, we explore 3 key themes: psychological challenges, current rehabilitation programs, and the integration of psychological support. RESULTS: Psychological challenges emerged as a pervasive aspect of ACL rehabilitation, encompassing fear, anxiety, motivation, and depression. The nuanced emotional responses, particularly the fear of reinjury, impact treatment adherence and overall well-being. Contemporary rehabilitation programs revealed inconsistencies in incorporating psychological support, emphasizing the need for standardized, multidisciplinary approaches. The alignment with prior reviews in the literature reinforced the importance of psychological traits, such as knee self-efficacy, in predicting positive outcomes. CONCLUSION: This scoping review provides a comprehensive overview of psychological factors within ACL rehabilitation, highlighting the importance of tailored interventions and standardized approaches. The integration of multidisciplinary expertise emerges as crucial for optimizing patient outcomes. Our findings not only contribute to a nuanced understanding of psychological nuances in ACL rehabilitation but also offer valuable implications for clinical practice and policy development.

The burden of musculoskeletal disorders in the Middle East and North Africa (MENA) region: a longitudinal analysis from the global burden of disease dataset 1990-2019.

BACKGROUND: Musculoskeletal (MSK) disorders are one of the main causes of disability among adults globally. The burden of MSK disorders varies greatly between different regions and is the highest in low- and middle income- countries. This study sought to investigate trends in the burden of MSK disorders across the MENA region, utilizing the GBD 2019 dataset. METHODS: This ecological study utilized data from the Global Burden of Disease (GBD) to report on the burden of musculoskeletal (MSK) disorders in The Middle East and North Africa (MENA) region between 1990 and 2019. Our analysis involved descriptive statistics and sociodemographic trends and did not employ any specific statistical analyses. Using age-standardized rates of prevalence and disability-adjusted life-years (DALYs), we reported trends in the burden of MSK disorders, as well as national variation between different countries. Furthermore, we analyzed trends in risk factors contributing to MSK disorders by age and gender. RESULTS: The longitudinal analysis from 1990 to 2019 showed an increase in the age-standardized rate for prevalence and DALYs of MSK disorders by 5% and 4.80%, respectively. Low back pain continued to be the most prevalent MSK condition, while RA and other MSK disorders had the largest percentage increase for DALYs between 1990 and 2019. The study found that Afghanistan had the lowest age standardized DALYs rate attributed to MSK disorders, while Iran, Turkey, and Jordan had the highest. Further, Syria showed the most dramatic decrease while Saudi Arabia had the most notable increase in age standardized DALY rates from 1990 to 2019. In 2019, occupational risks, high body mass index, and tobacco smoking were the main risk factors for MSK disorders, with occupational risks being the largest contributor, and between 1990 and 2019, there was a decrease in the contribution of occupational risks but an increase in the contribution of high body mass index as a risk factor. CONCLUSION: This study highlights the significant burden of MSK disorders in the MENA region, with various risk factors contributing to its increasing prevalence in recent decades. Further research is needed to better understand the underlying factors and potential interventions that could improve health outcomes. Addressing MSK disorders should be a public health priority in the region, and efforts should be made to develop effective strategies to prevent and manage this debilitating condition.

COVID-19 stressors and symptoms of depression and anxiety among Black cisgender sexual minority men and Black transgender women during the initial peak of the COVID-19 pandemic.

PURPOSE: To examine associations between COVID-19-related stressors and symptoms of depression and anxiety in Black cisgender sexual minority men (SMM) and transgender women during the initial peak of the COVID-19 pandemic. METHODS: Participants from the N2 Cohort Study comprised Black cisgender SMM and Black transgender women in Chicago, IL, completed a face-to-face video or phone interview between April 20 and July 31, 2020. The survey included 18 measures of individual, network, and structural COVID-19 stressors such as income loss, network COVID-19 diagnoses, and housing loss, as well as 5 outcome measures: anxiety, depression, loneliness, worry and hope. RESULTS: Of 226 participants, 56.6% experienced anxiety on at least 1 of the last 14 days, 48.7% experienced depression, 48.7% experienced loneliness, 42.0% experienced worry, and 51.8% did not experience hope. Completing the study during a later phase of reopening was associated with hopefulness, RR = 1.37 95% CI [1.02, 1.85]. Fifteen of the 18 multi-level COVID-19 stressors were associated with 1 or more symptoms of depression and anxiety, for example, physical stress reactions, income loss, food loss, medication loss, network COVID-19 diagnoses, partner violence, housing loss, and neighborhood pandemic concerns (aRRs = 0.61-2.78, ps < 0.05). CONCLUSION: COVID-19-related stressors were associated with depression and anxiety symptoms in Black cisgender SMM and transgender women. Mitigation strategies to reduce virus transmission should be supplemented with measures to prevent depression and anxiety among marginalized populations, such as targeted economic relief and eHealth/mHealth interventions.

Financial Hardship, Condomless Anal Intercourse and HIV Risk Among Men Who Have Sex with Men.

The objective of this study was to examine the association between financial hardship, condomless anal intercourse and HIV risk among a sample of men who have sex with men (MSM). Users of a popular geosocial networking application in Paris were shown an advertisement with text encouraging them to complete a anonymous web-based survey (n = 580). In adjusted multivariate models, high financial hardship (compared to low financial hardship) was associated with engagement in condomless anal intercourse (aRR 1.28; 95% CI 1.08-1.52), engagement in condomless receptive anal intercourse (aRR 1.34; 95% CI 1.07-1.67), engagement in condomless insertive anal intercourse (aRR 1.30; 95% CI 1.01-1.67), engagement in transactional sex (aRR 2.36; 95% CI 1.47-3.79) and infection with non-HIV STIs (aRR 1.50; 95% CI 1.07-2.10). This study suggests that interventions to reduce financial hardships (e.g., income-based strategies to ensure meeting of basic necessities) could decrease sexual risk behaviors in MSM.

Residential and GPS-Defined Activity Space Neighborhood Noise Complaints, Body Mass Index and Blood Pressure Among Low-Income Housing Residents in New York City.

Little is known about how neighborhood noise influences cardiovascular disease (CVD) risk among low-income populations. The aim of this study was to investigate associations between neighborhood noise complaints and body mass index (BMI) and blood pressure (BP) among low-income housing residents in New York City (NYC), including the use of global positioning system (GPS) data. Data came from the NYC Low-Income Housing, Neighborhoods and Health Study in 2014, including objectively measured BMI and BP data (N = 102, Black = 69%), and 1 week of GPS data. Noise reports from "NYC 311" were used to create a noise complaints density (unit: 1000 reports/km2) around participants' home and GPS-defined activity space neighborhoods. In fully-adjusted models, we examined associations of noise complaints density with BMI (kg/m2), and systolic and diastolic BP (mmHg), controlling for individual- and neighborhood-level socio-demographics. We found inverse relationships between home noise density and BMI (B = -2.7 [kg/m2], p = 0.009), and systolic BP (B = -5.3 mmHg, p = 0.008) in the fully-adjusted models, and diastolic BP (B = -3.9 mmHg, p = 0.013) in age-adjusted models. Using GPS-defined activity space neighborhoods, we observed inverse associations between noise density and systolic BP (B = -10.3 mmHg, p = 0.019) in fully-adjusted models and diastolic BP (B = -7.5 mmHg, p = 0.016) in age-adjusted model, but not with BMI. The inverse associations between neighborhood noise and CVD risk factors were unexpected. Further investigation is needed to determine if these results are affected by unobserved confounding (e.g., variations in walkability). Examining how noise could be related to CVD risk could inform effective neighborhood intervention programs for CVD risk reduction.

Mortality, Hepatic Decompensation, and Cardiovascular- and Renal-Related Outcomes in Lean Versus Non-lean Patients Hospitalized With Metabolic Dysfunction-Associated Steatohepatitis (MASH).

INTRODUCTION: Metabolic dysfunction-associated steatohepatitis (MASH) is an important cause of cirrhosis and end-stage liver disease. In addition, there have been reports of worse extrahepatic outcomes, especially cardiovascular events, in patients with lean patients' fatty liver disease compared to the non-lean group. There is limited data on hepatic, cardiac, and renal outcomes in lean compared to non-lean patients with MASH. This study aims to evaluate the cardiovascular, renal, and hepatic outcomes in hospitalized US adults with MASH, focusing on a comprehensive comparison between lean and non-lean patients. METHODS: The National Inpatient Sample (NIS) database was queried from 2016 to 2020 to identify hospitalizations with MASH. Hospitalizations with a history of overweight and obesity (lean body mass index (BMI) <25 vs. lean BMI >25) were also identified. The primary outcome was in-hospital mortality. Secondary outcomes were major adverse cardiovascular outcomes (MACE: a composite of acute myocardial infarction, cardiac arrest, stroke, heart failure, and atrial fibrillation); major adverse kidney outcome (MAKE: a composite outcome of acute kidney injury (AKI), renal replacement therapy, and renal cancer), and hepatic decompensation (esophageal varices with bleeding, ascites, spontaneous bacterial peritonitis (SBP), hepatic encephalopathy, and hepatorenal syndrome) Multivariate logistic regression analysis was used to derive risk ratios for clinical outcomes. RESULTS: We included 539,275 MASH patients in our sample; 324,330 (60%) were lean. The included patients were mostly female (61%), the mean age was 64 years, and 76% were White. At baseline, non-lean patients had a higher prevalence of heart failure, hypertension, and hyperlipidemia. There was no difference in the prevalence of smoking among both groups. In a multivariate analysis, with adjustment for age, sex, race, sarcopenia, cardiometabolic risk factors, hospital characteristics, admission type, socioeconomic factors, and all comorbidities (including 31 Elixhauser comorbidities), lean status was associated with a 40% increased risk of mortality (adjusted odds ratio (aOR) 1.40, confidence interval (CI) 1.29-1.53), 19% increased risk of MACE (aOR 1.19; 95% CI 1.14-1.24), 20% increased risk of renal decompensation (aOR 1.25; 95% CI 1.20-1.30), and 33% increased risk of hepatic decompensation (aOR 1.33 CI 1.28-1.38). CONCLUSION: Lean patients with MASH are at higher risk of cardiovascular and renal outcomes and may benefit from enhanced screening for early identification and treatment to improve outcomes.

Association of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) With an Increased Risk of Congestive Heart Failure in Hospitalized Patients With Cirrhosis: A Propensity Score-Matched Analysis.

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is linked to increased cardiovascular (CV) risks, notably congestive heart failure (CHF). We evaluated the influence of MASLD on CHF and mortality among hospitalized cirrhotic patients. METHODS: We analyzed the National Inpatient Sample from 2016 to 2020, identifying adult cirrhosis patients. We focused on CHF and in-hospital mortality, plus hospital stay length, costs, and discharge status. Propensity score matching created balanced cohorts for comparison. Poisson and logistic regression provided adjusted CHF risks and mortality odds ratios (ORs) for MASLD patients. RESULTS: Before matching, 4.1% of 672,625 cirrhotic patients had MASLD. Post-matching, each group had 23,161 patients. Patients with MASLD showed higher CHF risk (OR 1.14, 95% CI 1.10-1.21, p<0.001) but lower in-hospital mortality (OR 0.57, 95% CI 0.52-0.63, p<0.01) and decreased costs (median $24,447 vs. $28,630, OR 0.86, 95% CI 0.85-0.87, p<0.001). CONCLUSION: In this nationwide study of patients with cirrhosis, MASLD was associated with a higher prevalence of CHF and lower in-patient mortality. These findings mirror the "adiposity paradox" phenomenon, where obese/overweight individuals with cardiometabolic dysfunction may experience less severe or beneficial health outcomes than those with a normal weight. Further investigation is warranted to decode the intricate interplay between MASLD, cirrhosis, CHF, and in-hospital mortality and its clinical practice implications.

Atypical femur fracture in a male without history of bisphosphonate use: a case report.

BACKGROUND: Atypical femur fractures are a rare occurrence, especially in bisphosphonate-naïve men, and merit reporting owing to their unusual presentation and clinical implications. This case report highlights a unique instance of atypical femur fractures in a 73-year-old male with no prior bisphosphonate exposure. CASE PRESENTATION: The patient, a 73-year-old Indian male with no history of bisphosphonate use, presented with left thigh pain and swelling following a minor fall. Radiographic assessment unveiled a closed left mid diaphyseal femoral shaft fracture. Subsequent imaging revealed an impending fracture in the contralateral femur. A comprehensive diagnostic evaluation, encompassing radiographic analysis, laboratory tests, and clinical assessment confirmed the diagnosis. Surgical management via intramedullary nailing was pursued for both fractures. Notably, the patient's medical history was characterized by radiographic manifestations, the infrequent occurrence of atypical femur fractures in men, and associated risk factors. Treatment encompassed anabolic bone therapy employing teriparatide, alongside discontinuation of antiresorptive agents. CONCLUSIONS: This case underscores the significance of considering atypical femur fractures in older individuals with limited trauma history. It accentuates the role of anabolic agents in the therapeutic regimen and contributes to the evolving understanding of atypical femur fractures. The report underscores the need for vigilant monitoring and tailored management strategies in similar cases, thereby enhancing clinical practice and patient care.

Genetic and epigenetic determinants of non-alcoholic fatty liver disease (NAFLD) in lean individuals: a systematic review.

Background: Non-alcoholic fatty liver disease (NAFLD) is common in obese individuals, but its occurrence in lean individuals and the underlying mechanisms are not well understood. This study aimed to systematically review the literature on the genetic and epigenetic factors influencing NAFLD in lean individuals. Methods: A comprehensive search was conducted on April 2nd, 2023, in seven databases using specific criteria. Only peer-reviewed studies in English, focusing on genetic or epigenetic effects on NAFLD in lean individuals, were included for qualitative synthesis. The Newcastle Ottawa Scale (NOS) was used for quality assessment. This study is registered with PROSPERO (CRD42023413809). Results: Following PRISMA guidelines, 18 studies were included in this review. The studies were conducted globally, with varying sample sizes and study designs. The NOS quality assessment revealed a moderate overall quality with variations in risk of bias and limitations in comparability and ascertainments of exposure among contributing studies. Genetic determinants related to lipid metabolism, inflammation, and oxidative stress pathways were identified, including PNPLA3 and TM6SF2 gene variants associated with increased NAFLD risk in lean individuals. Epigenetic modifications, particularly depletion of histone variants, were also implicated. However, some studies found no significant associations between genetic or clinical characteristics and lean NAFLD. Less frequent genetic risk factors, such as CETP and APOC3 gene variants, were reported. Conclusions: This systematic review underscores the importance of investigating genetic and epigenetic factors in lean NAFLD. The findings highlight the role of PNPLA3 and TM6SF2 gene variants and suggest potential epigenetic contributions. Further research is needed to fully understand the genetic and epigenetic mechanisms underlying NAFLD in lean individuals.

Health data sharing attitudes towards primary and secondary use of data: a systematic review.

Background: To receive the best care, people share their health data (HD) with their health practitioners (known as sharing HD for primary purposes). However, during the past two decades, sharing for other (i.e., secondary) purposes has become of great importance in numerous fields, including public health, personalized medicine, research, and development. We aimed to conduct the first comprehensive overview of all studies that investigated people's HD sharing attitudes-along with associated barriers/motivators and significant influencing factors-for all data types and across both primary and secondary uses. Methods: We searched PubMed, MEDLINE, PsycINFO, Web of Science, EMBASE, and CINAHL for relevant studies published in English between database inception and February 28, 2023, using a predefined set of keywords. Studies were included, regardless of their design, if they reported outcomes related to attitudes towards sharing HD. We extracted key data from the included studies, including the type of HD involved and findings related to: HD sharing attitudes (either in general or depending on type of data/user); barriers/motivators/benefits/concerns of the study participants; and sociodemographic and other variables that could impact HD sharing behaviour. The qualitative synthesis was conducted by dividing the studies according to the data type (resulting in five subgroups) as well as the purpose the data sharing was focused on (primary, secondary or both). The Newcastle-Ottawa Scale (NOS) was used to assess the quality of non-randomised studies. This work was registered with PROSPERO, CRD42023413822. Findings: Of 2109 studies identified through our search, 116 were included in the qualitative synthesis, yielding a total of 228,501 participants and various types of HD represented: person-generated HD (n = 17 studies and 10,771 participants), personal HD in general (n = 69 studies and 117,054 participants), Biobank data (n = 7 studies and 27,073 participants), genomic data (n = 13 studies and 54,716 participants), and miscellaneous data (n = 10 studies and 18,887 participants). The majority of studies had a moderate level of quality (83 [71.6%] of 116 studies), but varying levels of quality were observed across the included studies. Overall, studies suggest that sharing intentions for primary purposes were observed to be high regardless of data type, and it was higher than sharing intentions for secondary purposes. Sharing for secondary purposes yielded variable findings, where both the highest and the lowest intention rates were observed in the case of studies that explored sharing biobank data (98% and 10%, respectively). Several influencing factors on sharing intentions were identified, such as the type of data recipient, data, consent. Further, concerns related to data sharing that were found to be mutual for all data types included privacy, security, and data access/control, while the perceived benefits included those related to improvements in healthcare. Findings regarding attitudes towards sharing varied significantly across sociodemographic factors and depended on data type and type of use. In most cases, these findings were derived from single studies and therefore warrant confirmations from additional studies. Interpretation: Sharing health data is a complex issue that is influenced by various factors (the type of health data, the intended use, the data recipient, among others) and these insights could be used to overcome barriers, address people's concerns, and focus on spreading awareness about the data sharing process and benefits. Funding: None.

An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis.

Early identification of high-risk metabolic dysfunction-associated steatohepatitis (MASH) can offer patients access to novel therapeutic options and potentially decrease the risk of progression to cirrhosis. This study aimed to develop an explainable machine learning model for high-risk MASH prediction and compare its performance with well-established biomarkers. Data were derived from the National Health and Nutrition Examination Surveys (NHANES) 2017-March 2020, which included a total of 5281 adults with valid elastography measurements. We used a FAST score ≥ 0.35, calculated using liver stiffness measurement and controlled attenuation parameter values and aspartate aminotransferase levels, to identify individuals with high-risk MASH. We developed an ensemble-based machine learning XGBoost model to detect high-risk MASH and explored the model's interpretability using an explainable artificial intelligence SHAP method. The prevalence of high-risk MASH was 6.9%. Our XGBoost model achieved a high level of sensitivity (0.82), specificity (0.91), accuracy (0.90), and AUC (0.95) for identifying high-risk MASH. Our model demonstrated a superior ability to predict high-risk MASH vs. FIB-4, APRI, BARD, and MASLD fibrosis scores (AUC of 0.95 vs. 0.50, 0.50, 0.49 and 0.50, respectively). To explain the high performance of our model, we found that the top 5 predictors of high-risk MASH were ALT, GGT, platelet count, waist circumference, and age. We used an explainable ML approach to develop a clinically applicable model that outperforms commonly used clinical risk indices and could increase the identification of high-risk MASH patients in resource-limited settings.

Exploring cardiopulmonary rehabilitation in the middle east and North Africa region: A narrative review of challenges and opportunities.

BACKGROUND AND OBJECTIVES: Cardiopulmonary Rehabilitation (CR) is crucial for managing conditions like congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and post-COVID-19 complications. This review examines CR practices in the Middle East and North Africa (MENA) region, exploring challenges, disparities, and emerging trends. METHODS: A comprehensive literature search was conducted in PubMed, Scopus, and Web of Science to identify studies published between date of inception and April 24th, 2024, focusing on CR programs, outcomes, challenges, and strategies specific to the MENA region. Data extraction included study design, population characteristics, CR interventions, and key findings. RESULTS: CR programs in the MENA region vary widely in scope and execution. While efforts are underway to integrate CR services into national healthcare policies, significant challenges persist, including limited infrastructure, shortages of trained professionals, and cultural barriers. Emerging trends include the use of telehealth and digital monitoring tools to expand access to CR services and policy reforms aimed at improving service delivery and patient access. CONCLUSION: CR plays a crucial role in improving the quality of life and health outcomes for cardiopulmonary patients, including those in the MENA region. However, significant challenges hinder the widespread adoption and effectiveness of CR programs. Addressing these challenges requires efforts to increase public education, reduce costs, expand funding, and enhance interprofessional collaboration. Future research should assess virtual rehabilitation, cultural adjustments, and long-term outcomes to tailor interventions to MENA's needs, ultimately enhancing CR accessibility and patient outcomes.

The Application of Artificial Intelligence (AI)-Based Ultrasound for the Diagnosis of Fatty Liver Disease: A Systematic Review.

Fatty liver disease, also known as hepatic steatosis, poses a significant global health concern due to the excessive accumulation of fat within the liver. If left untreated, this condition can give rise to severe complications. Recent advances in artificial intelligence (AI, specifically AI-based ultrasound imaging) offer promising tools for diagnosing this condition. This review endeavors to explore the current state of research concerning AI's role in diagnosing fatty liver disease, with a particular emphasis on imaging methods. To this end, a comprehensive search was conducted across electronic databases, including Google Scholar and Embase, to identify relevant studies published between January 2010 and May 2023, with keywords such as "fatty liver disease" and "artificial intelligence (AI)." The article selection process adhered to the PRISMA framework, ultimately resulting in the inclusion of 13 studies. These studies leveraged AI-assisted ultrasound due to its accessibility and cost-effectiveness, and they hailed from diverse countries, including India, China, Singapore, the United States, Egypt, Iran, Poland, Malaysia, and Korea. These studies employed a variety of AI classifiers, such as support vector machines, convolutional neural networks, multilayer perceptron, fuzzy Sugeno, and probabilistic neural networks, all of which demonstrated a remarkable level of precision. Notably, one study even achieved a diagnostic accuracy rate of 100%, underscoring AI's potential in diagnosing fatty liver disease. Nevertheless, the review acknowledged certain limitations within the included studies, with the majority featuring relatively small sample sizes, often encompassing fewer than 100 patients. Additionally, the variability in AI algorithms and imaging techniques added complexity to the comparative analysis. In conclusion, this review emphasizes the potential of AI in enhancing the diagnosis and management of fatty liver disease through advanced imaging techniques. Future research endeavors should prioritize the execution of large-scale studies that employ standardized AI algorithms and imaging techniques to validate AI's utility in diagnosing this prevalent health condition.

The Therapeutic Impact of Plant-Based and Nutritional Supplements on Anxiety, Depressive Symptoms and Sleep Quality among Adults and Elderly: A Systematic Review of the Literature.

BACKGROUND: The emerging research in the literature continues to forecast a drastic and alarming increase in negative mental health and sleep health outcomes among populations, especially after the COVID-19 pandemic, which significantly influenced people's way of life. With mental health pharmaceutical interventions continuing to be stigmatized and inaccessible among populations, natural supplements provide an opportunity for intervention. OBJECTIVE: This study sought to conduct a systematic review of the literature on the most recent comprehensive evidence for which nutritional supplements have the greatest therapeutic impact on symptoms of anxiety, depression, and insomnia. METHODS: A systematic search of the literature, utilizing several databases, including PubMed and Web of Science, was conducted on 29 April 2022. We used developed keywords and MeSH terms for the search. The study eligibility criteria included (1) a randomized control trial; (2) investigating a plant-based therapeutic or natural supplement as the intervention; (3) measuring at least one health outcome of the following: anxiety symptoms, depressive symptoms, or sleep health outcomes; (4) utilizing validated measurement tools to measure the outcome of interest; (5) written in the English language; (6) peer reviewed; and (7) focused on adults and elderly populations. MAIN RESULTS: Following the PRISMA guidelines, 76 studies were included in this review. We used the revised Risk of Bias tool (RoB2) to assess the quality of all included randomized control trials. A qualitative data synthesis was conducted. Overall, we found several valuable insights from the evidence in the literature, including evidence that demonstrates the benefits of probiotics and vitamin B complexes on anxiety symptoms, depressive symptoms, and sleep quality. Implication of Key Findings: This review provides the most updated findings in the literature on the topic, including an abundance of research that was published in the past 5 years. Given the expected rise in negative mental and sleep health outcomes following the pandemic, the supplements and therapeutics identified in this study should be the target of intervention measures to increase their accessibility and affordability and allow them to be incorporated into clinical guidelines of treatment. PROSPERO registration number: CRD42022361130.

Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature.

Background: Vaccine hesitancy continues to limit global efforts in combatting the COVID-19 pandemic. Emerging research demonstrates the role of social media in disseminating information and potentially influencing people's attitudes towards public health campaigns. This systematic review sought to synthesize the current evidence regarding the potential role of social media in shaping COVID-19 vaccination attitudes, and to explore its potential for shaping public health interventions to address the issue of vaccine hesitancy. Methods: We performed a systematic review of the studies published from inception to 13 of March2022 by searching PubMed, Web of Science, Embase, PsychNET, Scopus, CINAHL, and MEDLINE. Studies that reported outcomes related to coronavirus disease 2019 (COVID-19) vaccine (attitudes, opinion, etc.) gathered from the social media platforms, and those analyzing the relationship between social media use and COVID-19 hesitancy/acceptance were included. Studies that reported no outcome of interest or analyzed data from sources other than social media (websites, newspapers, etc.) will be excluded. The Newcastle Ottawa Scale (NOS) was used to assess the quality of all cross-sectional studies included in this review. This study is registered with PROSPERO (CRD42021283219). Findings: Of the 2539 records identified, a total of 156 articles fully met the inclusion criteria. Overall, the quality of the cross-sectional studies was moderate - 2 studies received 10 stars, 5 studies received 9 stars, 9 studies were evaluated with 8, 12 studies with 7,16 studies with 6, 11 studies with 5, and 6 studies with 4 stars. The included studies were categorized into four categories. Cross-sectional studies reporting the association between reliance on social media and vaccine intentions mainly observed a negative relationship. Studies that performed thematic analyses of extracted social media data, mainly observed a domination of vaccine hesitant topics. Studies that explored the degree of polarization of specific social media contents related to COVID-19 vaccines observed a similar degree of content for both positive and negative tone posted on different social media platforms. Finally, studies that explored the fluctuations of vaccination attitudes/opinions gathered from social media identified specific events as significant cofactors that affect and shape vaccination intentions of individuals. Interpretation: This thorough examination of the various roles social media can play in disseminating information to the public, as well as how individuals behave on social media in the context of public health events, articulates the potential of social media as a platform of public health intervention to address vaccine hesitancy. Funding: None.

Effects of the COVID-19 pandemic on sleep health among Middle Eastern and North African (MENA) populations: a systematic review of the literature.

OBJECTIVES: This study sought to conduct a systematic review of the literature on the impact of the COVID-19 pandemic on sleep health among Middle Eastern and North African (MENA) populations, understudied geographic regions including with regards to sleep health. SETTING: A systematic literature search of studies published from inception to 27 March 2022 was conducted on multiple databases using developed keywords. PARTICIPANTS: Studies were included if they (1) investigated one or more aspects/dimensions of sleep health as an outcome (eg, sleep duration, sleep quality, sleep problems); (2) measured the impact of a COVID-19 pandemic-related domain (eg, impact of quarantine, work from home, lifestyle changes); (3) focused on at least one MENA region population; (4) were peer-reviewed; (5) included ≥100 participants; (6) were written in English and (7) had full-text article publicly available. PRIMARY AND SECONDARY OUTCOMES MEASURED: Primary outcomes were sleep duration, sleep quality and sleep problems. RESULTS: In line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, 164 studies were included for data extraction. The Newcastle-Ottawa scale for cross-sectional studies was used to assess the quality of the studies. Overall, the COVID-19 pandemic significantly impacted sleep duration, sleep quality and presence and severity of sleep disorders in MENA populations, including adults, children, students, healthcare workers and people with chronic illnesses. The directionality and strength of associations, as well as the determinants of sleep health, varied by subpopulations. CONCLUSIONS: Longitudinal studies are needed to understand the longer-term impact of the COVID-19 pandemic on the sleep health of MENA populations. Sleep health interventions and policy measures should be tailored to the need of each subpopulation. PROSPERO REGISTRATION NUMBER: CRD42022321128.