Environmental pollution, especially water pollution caused by dyes, heavy metal ions and biological pathogens, is a root cause of various lethal diseases in human-beings and animals. Water purification materials and treatment methods are overpriced. Consequently, there is an imperative outlook observance for cheap materials for the purification of wastewaters. In order to fill up the projected demand for clean water, the present study aimed to make use of cost-effective and environmentally friendly methods to convert bone-waste from animals such as cows into novel composites for the decontamination of water. The bone-waste of slaughtered cows from the Najran region of Saudi Arabia was collected and used for the synthesis of hydroxyapatite based on the thermal method. The synthesized hydroxyapatite (Ca₁₀(PO₄)₆(OH)₂) was utilized to prepare a manganese ferrite/hydroxyapatite composite. The nanocomposite was categorized by diverse sophisticated procedures, for instance XRD, FE-SEM, EDX, TEM, UV, PL and FT-IR. This composite possesses outstanding photocatalytic activity against methylene blue dye, which is a common pollutant from industrial wastes. Moreover, the synthesised composite revealed exceptional bacteriostatic commotion towards E. coli and S. aureus bacteria, which are accountable for acute waterborne infections. The outcome of this study demonstrated that the integration of manganese ferrite into hydroxyapatite significantly intensified both antimicrobial and photocatalytic actions when compared to the virgin hydroxyapatite.

To assess the amount of vaccine hesitancy and its determinants in relation to various demographic, social, and personal characteristics among the Saudi population. Cross-sectional study. we utilized a structured questionnaire on a five point-Likert scale that included immunization process awareness, perception towards immunization and factors leading to vaccine refusal. The study included 5965 participants characterized according to various demographical factors. The participant's knowledge, perception, and the factors affecting the decision of taking the vaccine were calculated. About 40.7% had enough information about COVID-19 vaccines and were willing to take it. The participant's perception towards COVID-19 vaccines is proportional to their knowledge and varied with the personal characteristics. Factors influencing vaccine use varied also with personal characteristics. Intent to be vaccinated was higher among older age groups, advanced education, retirees, and higher income persons (P < 0.001). Moreover, the influence of heterogeneity in personal perception towards COVID-19 vaccines has been discussed. Vaccine barriers scores were significantly higher among lower educational and income levels (P = 0.004). The leader's influence on vaccine decision was high (p < 0.001). The side effects of COVID-19 vaccine is the most important barrier to vaccine acceptance. Knowledge and perception score were consistently and significantly higher among the group who received their information from official websites, followed by those who had used both websites and social media (p < 0.001). Additional approaches will be needed to effectively meet the needs of the hesitant population, particularly the safety and efficacy concerns, the speed of vaccine development, and the distrust in government and health organizations.

Background and Objectives: Obesity is a major health concern worldwide. Many studies emphasize the important role of brain-derived neurotrophic factor (BDNF) in regulating appetite and body weight. We aimed to investigate the association between BDNF protein serum levels and body mass index (BMI). Materials and Methods: We conducted a cross-sectional study among 108 healthy adult participants divided into six categories depending on their body mass index (BMI). The ages of the participants ranged between 21 to 45 years. The BDNF serum level was measured using the enzyme-linked immunosorbent assay (ELISA) technique. Results: A Kruskal–Wallis test showed a significant difference in BDNF between the different BMI categories, χ²(2) = 24.201, p < 0.001. Our data also showed that BDNF levels were significantly lower in people with obesity classes II and III than those of normal weight (p < 0.05). The Spearman rank correlation test was statistically significant with negative correlations between the BMI and BDNF (r) = −0.478, (p < 0.01). Moreover, we observed a negative dose-dependent relationship pattern between BMI categories and the levels of circulating BDNF protein. Conclusions: In this study, our data support the hypothesis that low serum levels of BDNF are associated with high BMI and obesity in Saudi adults.

Objectives: At present, diabetes is one of the leading causes of mortality across the world. It was hypothesized that muscle mass could have a significant influence on blood glucose level and this corelation if established successfully could pave way for novel treatment modalities for type 2 diabetes mellitus (T2DM). In the present study, the association between muscle mass and blood glucose level was examined in a healthy population who was not having T2DM at baseline and was undergoing a regular course of exercise. Methods: The clinical study was performed involving 53 healthy male populations between 10 and 60 years of age. The participants were sampled in accordance with the quantitative experimental study design, using nonprobability sampling techniques. The independent variable measured among the subjects included muscle mass and blood glucose level, using bioelectrical impedance and a simple glucometer respectively. Subgroup analysis amongst different substantial parameters including body mass index (BMI), myostatin inhibitor usage, and age factor that could affect the muscle mass and glucose level correlation were also studied simultaneously. Results: The study findings demonstrated a negative correlation between muscle mass and glucose utilization levels. There was a significant difference in the mean muscle mass of the participants which was 36.2453, and the mean glucose utilization level which was 15.1493%. Pearson correlation between the muscle mass and percentage of glucose utilization of the participants indicated a significant difference (since p-value <0.05) between these two studied parameters . Conclusions: The study finding suggests an inverse association of the skeletal muscle mass with blood glucose level which encourages the implication of muscle-building exercises as the preventive measure for T2DM.

A high body mass index (BMI) is a known risk factor for coronavirus infection in hospitalized patients. Our study examined the association between BMI and complications and the survival rate among COVID-19 patients. This retrospective analysis used data from a tertiary hospital in the Eastern Region of Saudi Arabia during two waves of the COVID-19 pandemic. The study included 600 participants, with the majority being between 41 and 60 years old (41.3%) and men comprising 63.5% of the sample. Approximately 42.5% of patients were obese, and 31.3% were overweight. The results showed that BMI was significantly linked to respiratory diseases (p = 0.013); end-stage renal disease (p = 0.021); and cardiovascular disease (p = 0.003) but not diabetes mellitus (p = 0.064). Death occurred in 10.8% of patients; 33.8% were admitted to the ICU; 13.8% needed mechanical ventilation; and 60.7% had lung infiltration. Obese patients with oxygen saturation levels below 93% were 2.45 times more likely to require mechanical ventilation than those in the normal-weight group. Overweight and obese patients were also more likely to require mechanical ventilation than normal-weight patients, with odds ratios of 3.66 and 2.81, respectively. The BMI categorized was not associated with survival rate in COVID-19-hospitalized patients using Kaplan-Meier survival plots (p = 0.061). However, the BMI categorized was associated with survival rate in COVID-19 ICU patients (p < 0.001). In addition, the overweight showed a statistically significant higher hazard ratio of 2.22 (p = 0.01) compared to normal-weight patients using a Cox regression model. A high BMI was identified as an independent risk factor for reduced oxygen saturation (<93%), the need for mechanical ventilation, lung infiltration, mortality, and longer ICU stays in COVID-19 patients.

Background: Earlier reports suggested high rates of antibiotic utilization among COVID-19 patients despite the lack of direct evidence of their activity against viral pathogens. Different trends in antibiotic consumption during 2020 compared to 2019 have been reported. Purpose: The objective of this study is to assess the impact of COVID-19 pandemic on antibiotic consumption in the presence of active Antibiotic Stewardship Program. Methods: This study represented a five years assessment of the consumption of the commonly prescribed antibiotics measured as DDDs/100-Bed Days. We analyzed the data by using nonparametric Friedman and Friedman tests to compare the antibiotic consumption before and during the three subsequent waves of COVID-19. Results: Antibiotic consumption through the DDDs/100-BD has shown reduction in the median of antibiotics consumption of most antibiotics during the period of COVID-19 as compared to the pre-COVID-19 period, which was significant for meropenem and ciprofloxacin, except colomycin that slightly increased. Significant reduction in the consumption of imipenem and meropenem during the second and third waves as compared to the pre-COVID period. Throughout the years, significant reductions were observed between 2018 and 2019 (p=< .001), 2018 and 2020 (p=0.008), and 2018 and 2022 (p=0.002). Conclusion: The reduction in antibiotic consumption is attributed to the strong influence if the ASP and the reluctance of people to visit hospitals during the COVID-19 pandemic. Other related COVID-19 precautions such as physical distance, good hand hygiene, facemasks, that resulted in the prevention of secondary bacterial infections have contributed to the reduction in antibiotic utilization during the pandemic.