Age and Body Anthropometry as Predicting Factors for Carpal Tunnel Syndrome among Egyptian Obese Women

BACKGROUND: Carpal tunnel syndrome (CTS) is the most prevalent entrapment neuropathy in the upper limb. The most consistent risk factors are female gender, age, and obesity. The results of previous studies are conflicting, and moreover, data from studies regarding obesity and nerve conduction velocity are not available for our Egyptian population. AIM: This study was designed to investigate the contribution of age and body anthropometry as predictor factors to the CTS and to identify patients at high risk for CTS among Egyptian obese women. METHODS: The study included 120 obese women grouped according to the clinical and electrodiagnostic (EDX) findings into two groups: 60 with CTS and 60 without CTS (non-CTS). EDX study was used in the diagnosis of median nerve entrapment at the level of the wrist, according to the American Association of Neuromuscular and EDX Medicine. Body weight and height were measured and then body mass index (BMI) was calculated. Waist-to-hip ratio (WHR) was determined from the measured waist circumference (WC) and hip circumference (HC). Mid upper arm circumference (MUAC) was measured as well. The receiver operating characteristic (ROC) curve was used to assess the power of age and body anthropometry as predictor factors for CTS. RESULTS: CTS obese cases showed significantly lower values of both median motor nerve conduction velocity (MMNCV) and median sensory nerve conduction velocity compared to those without CTS. Significantly higher median sensory latency and median motor latency have been found in CTS cases compared to non-CTS group. Significant differences in the mean age have been found between the two groups and a tendency for higher body anthropometry measures in the CTS cases relative to those without CTS. Moreover, there were negative correlations between MMNCV and obesity indices. Age showed the highest area under the ROC curve, followed by BMI, WHR WC, HC, and MUAC. CONCLUSION: Age and obesity indices are important risk factors that can be used as predictors to CTS in obese women. Age is a more powerful diagnostic tool relative to the anthropometric measurements. Women of age above 40 years and suffering from a high degree of obesity are at risk of developing CTS

Serum soluble receptor of advanced glycation end products and risk of metabolic syndrome in Egyptian obese women

Obesity is one of the diagnostic criteria of metabolic syndrome (MS). It is correlated with insulin resistance (IR) and high vascular risk as well. Advanced glycation end products (AGEs) and their receptor (RAGE) play an important role in abnormal metabolic components in obese women. This study aimed to explore the serum levels of sRAGE in Egyptian obese women and compare with healthy non-obese controls and investigate the relationship between serum sRAGE, metabolic parameters, and obesity complications. The soluble form of receptor for advanced glycation end products (sRAGE), anthropometry, metabolic and biochemical biomarkers were measured in 100 obese women and 100 age-matched healthy control non-obese women. The homeostasis model assessment estimate of insulin resistance (HOMA-IR) has been determined from serum insulin and glucose values. Serum sRAGE levels were significantly lower in obese cases than controls and inversely correlated with obesity and metabolic parameters. Results of univariate and multivariate analyses for determinants of serum sRAGE levels in obese cases showed that parameters statistically and significantly related were body mass index (BMI), waist circumference (WC), LDL-C, TG, BP, HOMA-IR, ALT and AST. sRAGE is a novel biomarker for metabolic dysfunction in Egyptian obese women and might predict the future cardio-metabolic events

Kinematic Gait Analysis for School age Children in Capital Governorate at Kuwait

Background: pediatric gait evaluation is considered an important element of children’s physical assessment and reflects their quality of life, health status and physical functions. Purpose: analyze kinematic gait parameters in normal school age children in Capital governorate at Kuwait and compare these findings with normal standard values Methods: Sixty normal healthy children from different schools at capital governorate in Kuwait were selected. Their ages were ranged from 6 to 12 years of both genders with normal Body mass index (BMI). They were assigned into three groups, group (A) 6 -8 years, group (B) 8 -10 years where group (C) 10 -12 years. All children underwent physical evaluations that were carried out for eligibility of selection. Then they scheduled for gait analysis using bioengineering BTS- FREEEMG 300 gait lab. The measured Kinematic gait parameters included temporal (stride time, stance time, swing time, stance phase, swing phase double support phase, velocity, and cadence), and spatial (stride length, step length, step width). Results: there were significant statistical difference between Kuwait children and normal standard values in some parameters as stride time for group A and group B, stance phase for group B, velocity for group A, B, and C, cadence for group C, step length for group A, B, and C and step width for group A and C. Conclusion: It can be concluded that kinematics gait analysis of Kuwait school age children at the capital governorate resembles and consistent with normal standard values ,except some values that differ significantly from the normal standard values

Towards Environmentally Sustainable Preservation of Heritage Buildings

The construction industry, characterized by its intricate processes and extensive stakeholder networks, stands at the cusp of a digital revolution. The adoption of blockchain-smart contract (BCSC) technology is at the heart of this transformation. This research delves deep into the BCSC within the construction arena to provide comprehensive insight into its probable applications, inherent challenges, and potential future trajectories. Leveraging the PRISMA analysis technique, a curated collection of relevant academic research articles was assembled, shedding light on the existing body of knowledge regarding the application of BCSC technology in construction. The authors developed an innovative user interface tool customized to automatically analyze Excel files exported from Scopus and Science Direct databases to ensure a rigorous approach. Preliminary findings highlight the existing gaps between the theoretical potential of blockchain and its tangible implementation in the construction domain. This study consolidates existing literature and emphasizes the critical domains and key parameters that future studies should address. The paper paves the way for innovative breakthroughs by pinpointing these gaps, pushing the boundaries of how blockchain and smart contracts might reshape the construction industry\u27s future landscape

Serum Vascular Endothelial Growth Factor in Egyptian Obese Women with Insulin Resistance

BACKGROUND: Obesity is a major factor in the development of several sub-clinical anomalies. Insulin resistance (IR) is associated with obesity. Vascular endothelial growth factor (VEGF) plays a significant role in inflammation and vascular neogenesis. However the precise relationships of its levels with clinical, lipid, and metabolic profiles are unknown. AIM: This study aimed to examine the association between serum VEGF concentrations with IR risk and metabolic and lipid parameters in obese women. METHODS: Serum VEGF, metabolic biomarkers and anthropometry were measured in 83 obese women with IR and 50 healthy women. Fat distributions in the abdominal, subcutaneous and visceral area were assessed. Homeostasis model assessment for insulin resistance index (HOMA-IR) was calculated. For analytical purposes, VEGF levels were categorised into three tertiles groups. RESULTS: Obese women with IR showed significantly higher levels of serum VEGF as compared with the control group. Moreover, obese women in the highest VEGF tertile had significantly higher values of obesity indices, visceral fat index, abnormal lipid levels and HOMA-IR compared to with those in the lower tertile. CONCLUSION: Elevated VEGF levels are associated with IR and high visceral fat index in obese women which in turn increased the risk for metabolic complications

Rapid photocatalytic degradation of phenol from water using composite nanofibers under UV

Background The removal of phenol from aqueous solution via photocatalytic degradation has been recognized as an environmentally friendly technique for generating clean water. The composite nanofibers containing PAN polymer, CNT, and TiO$_{2}$ NPs were successfully prepared via electrospinning method. The prepared photocatalyst is characterized by SEM, XRD, and Raman spectroscopy. Different parameters are studied such as catalyst amount, the effect of pH, phenol concentration, photodegradation mechanism, flow rate, and stability of the composite nanofiber to evaluate the highest efficiency of the photocatalyst. Results The composite nanofibers showed the highest photodegradation performance for the removal of phenol using UV light within 7 min. The pH has a major effect on the photodegradation of phenol with its maximum performance being at pH 5. Conclusions Given the stability and flexibility of the composite nanofibers, their use in a dynamic filtration is possible and can be even reused after several cycles

The Validity of Body Adiposity Indices in Predicting Metabolic Syndrome and Its Components among Egyptian Women

AIM: To assess the associations between the body adiposity indices and risk of metabolic syndrome (MS) and its components in Egyptian women and to evaluate their predictive power.MATERIALS AND METHODS: This was a cross-sectional analysis performed on 180 Egyptian women aged between 25-35 years. They were 90 women with MS diagnosed by International Diabetes Federation (IDF) and 90 healthy age matched controls. Body adiposity index (BAI), body mass index (BMI), waist to hip ratio (WHR) and waist to height ratio (WHtR) were calculated and serum samples were analyzed for metabolic parameters. Receiver operating characteristic curves (ROC) was used to determine the discriminatory capacity of BAI, WHR WHtR and BMI for MS.RESULTS: Area under the curve (AUC) was highest for BIA, followed by WHR, WHtR and then BMI. All adiposity indices were significantly correlated with metabolic components and BAI had the highest correlation coefficients compared to other indices.CONCLUSION: BAI is a practical predictor for MS and has satisfactory diagnostic accuracy for diagnosing MS among Egyptian women and can be used in addition to WHR, WHtR and BMI for identifying MS in the field studies