Search

Abstract Background Endometriosis, a condition that significantly impacts the quality of life for affected women, manifests with a spectrum of symptoms ranging from mild discomfort to severe pelvic pain, dysmenorrhea, dyspareunia, and infertility. A previous single-center study suggested an elevated prevalence of endometriosis in Jordan, prompting the need for larger studies to confirm these findings. Methods We conducted a cross-sectional study involving a sample of 866 women who underwent various laparoscopic procedures for different indications at the Department of Obstetrics and Gynecology at Jordan University Hospital and Al-Karak Governmental Hospital, two tertiary referral hospitals in Jordan between January 2015 and March 2023. Results Our study included 866 patients who underwent gynecological laparoscopic surgery between 2015 and 2023, with a mean age of 33.80 ± 7.7 years. Of these, 89 women were diagnosed with endometriosis, resulting in an overall prevalence of 10.3%. Diagnostic laparoscopy was the most common procedure, performed on 28.4% of patients. Infertility was the most common indication, observed in 34.5% of patients. Endometriosis was significantly more prevalent in patients with chronic pelvic pain (29.7%) and less prevalent in those seeking treatment for infertility (13.8%), ectopic pregnancy (1.1%), and family planning (0%). Endometriosis was significantly less prevalent in patients undergoing laparoscopic salpingectomy or salpingostomy (3.7%). Backstep-wise multivariate regression analysis suggested that endometriosis may be associated with higher age (OR 1.04, 95%CI 1.00 to 1.07, p = 0.027), lower BMI (OR 0.92, 95%CI 0.87 to 0.98, p = 0.007), lower number of parities (OR 0.72, 95%CI 0.6 to 0.86, p

Abstract 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.

Abstract Background Sparsentan has shown positive effects on managing different subtypes of glomerulonephritis. The recent results of trials require a pooled analysis to validate these results. Aim We aim to assess the safety and efficacy of sparsentan versus irbesartan for patients with IgA nephropathy and focal glomerulosclerosis (FSGS). Methods We conducted a systematic review and meta-analysis of randomized controlled trials retrieved by systematically searching PubMed, Web of Science, Scopus, and Cochrane through March 2024. We used Review Manager v.5.4 to pool dichotomous data using risk ratio (RR) and continuous data using mean difference (MD) with a 95% confidence interval (CI). Results Three studies with a total of 884 patients were included. Sparsentan was superior to irbesartan in improving urine protein to creatinine ratio (UP/C) (ratio of percentage reduction 0.66, 95% CI [0.58 to 0.74], P

Rett syndrome (RTT) is a severe neurodevelopmental disorder primarily affecting females, characterized by developmental regression and significant communication impairments. Despite the critical role of communication in maintaining quality of life, the long-term efficacy and optimal utilization of augmentative and assistive communication (AAC) devices in RTT remain underexplored. This study evaluates the impact of AAC devices on communication outcomes and quality of life in individuals with RTT through a case report and narrative review. We conducted a comprehensive literature review and thematic analysis categorizing technologies into communication aids, mobility aids, educational tools, and daily living aids, assessing their effectiveness and challenges. The results show that AAC technologies, including eye-tracking devices, speech-generating devices, and adapted computers, enhance communication, cognitive development, and quality of life for individuals with RTT. The case report of Patient E, utilizing the Tobii Dynavox device, highlights the transformative impact of AAC devices despite challenges in device complexity and therapist training. AAC devices are indispensable for supporting individuals with RTT, though challenges persist related to accessibility, device complexity, and therapist training. Future research should focus on longitudinal studies to assess the sustained impact of AAC technologies and explore family-centered approaches to AAC integration.

Abstract 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.

Abstract 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.

Abstract 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.

Summary: 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.

Abstract 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.

Summary: 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.

Previous studies have identified an association between socioeconomic status and sleep health. While some research has studied this association among sexual minority groups, including men who have sex with men (MSM), they exclusively focused on US-based populations. The interplay between the two in shaping sleep health has not been previously examined on populations residing outside the US. This study considers both determinants, by investigating whether financial hardship is associated with sleep health among a sample of MSM in Paris, France. Broadcast advertisements were placed on a popular geosocial-networking smartphone application for MSM to direct users in Paris to a web-based survey measuring financial hardship and five dimensions of sleep health as well as socio-demographic characteristics. Modified Poisson models with robust error variance were computed to estimate risk ratios (RRs) and 95% confidence intervals (CI) for the associations between financial hardship and the following self-reported outcomes: 1) poor sleep quality, 2) short sleep duration; and 3) sleep problems. In total, 580 respondents completed the survey. In this sample, both financial hardship and poor sleep health were common - 45.5% reported that it was extremely, very, or somewhat difficult for them to meet their monthly payments on bills (referred to as “high financial hardship”) and 30.1% rated their sleep as fairly bad or very bad (referred to as “poor sleep quality”). Multivariate models revealed that, compared to participants who reported low financial hardship, those who reported high financial hardship were more likely to report poor sleep quality (aRR: 1.35, 95% CI: 1.04, 1.77), to report problems falling asleep (aRR: 1.23, 95% CI: 1.02, 1.49), and to report problems staying awake in the daytime (aRR: 3.12, 95% CI: 1.83, 5.31). Future research should investigate whether this relationship is causal and determine whether interventions to reduce financial hardships could promote sleep health among MSM.

Research has examined how the food environment affects the risk of cardiovascular disease (CVD). Many studies have focused on residential neighbourhoods, neglecting the activity spaces of individuals. The objective of this study was to investigate whether food environments in both residential and global positioning system (GPS)-defined activity space buffers are associated with body mass index (BMI) and blood pressure (BP) among low-income adults. Data came from the New York City Low Income Housing, Neighborhoods and Health Study, including BMI and BP data (n=102, age=39.3±14.1 years), and one week of GPS data. Five food environment variables around residential and GPS buffers included: fast-food restaurants, wait-service restaurants, corner stores, grocery stores, and supermarkets. We examined associations between food environments and BMI, systolic and diastolic BP, controlling for individual- and neighbourhood-level sociodemographics and population density. Within residential buffers, a higher grocery store density was associated with lower BMI (β=- 0.20 kg/m2, P

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.

Background Jordan, a Middle Eastern country, declared a state of national emergency due to COVID-19 and a strict nationwide lockdown on 17 March 2020, banning all travel and movement around the country, potentially impacting mental health. This study sought to investigate the association between mental health (eg, anxiety and depressive symptoms) and sleep health among a sample of Jordanians living through a state of COVID-19-induced nationwide lockdown.Methods Using Facebook, participants (n=1240) in Jordan in March 2020 were recruited and direct to a web-based survey measuring anxiety (items from General Anxiety Disorder 7-item (GAD-7) scale instrument), depressive symptoms (items from Center for Epidemiologic Studies Depression Scale), sleep health (items from the Pittsburgh Sleep Quality Index) and sociodemographic. A modified Poisson regression model with robust error variance. Adjusted prevalence ratios (aPRs) and 95% CIs were estimated to examine how anxiety and depressive symptoms may affect different dimensions of sleep health: (1) poor sleep quality, (2) short sleep duration, (3) encountering sleep problems.Results The majority of participants reported having experienced mild (33.8%), moderate (12.9%) or severe (6.3%) levels of anxiety during lockdown, and nearly half of respondents reported depressive symptoms during lockdown. Similarly, over 60% of participants reported having experienced at least one sleep problem in the last week, and nearly half reported having had short sleep duration. Importantly, anxiety was associated with poor sleep health outcomes. For example, corresponding to the dose–response relationship between anxiety and sleep health outcomes, those reporting severe anxiety were the most likely to experience poor sleep quality (aPR =8.95; 95% CI=6.12 to 13.08), short sleep duration (aPR =2.23; 95% CI=1.91 to 2.61) and at least one problem sleep problem (aPR=1.73; 95% CI=1.54 to 1.95). Moreover, depressive symptoms were also associated with poor sleep health outcomes. As compared with scoring in the first quartile, scoring fourth quartile was associated with poor sleep quality (aPR=11.82; 95% CI=6.64 to 21.04), short sleep duration (aPR=1.87; 95% CI=1.58 to 2.22), and experiencing at least one sleep problem (aPR=1.90; 95% CI=1.66 to 2.18).Conclusions Increased levels of anxiety and depressive symptoms can negatively influence sleep health among a sample of Jordanian adults living in a state of COVID-19-induced nationwide lockdown.