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Obesity is a complex and chronic disease that raises the risk of various complications. Substantial reduction in body weight improves these risk factors. Lifestyle changes, including physical activity, reduced caloric ingestion, and behavioral therapy, have been the principal pillars in the management of obesity. In recent years, pharmacologic interventions have improved remarkably. The Semaglutide Treatment Effect in People with Obesity (STEP) program is a collection of phase-III trials geared toward exploring the utility of once-weekly 2.4 mg semaglutide administered subcutaneously as a pharmacologic agent for patients with obesity. All the STEP studies included diet and exercise interventions but at different intensities. This review paper aims to explore the impact of the behavioral programs on the effect of semaglutide 2.4 mg on weight loss. The results of the STEP trials supported the efficacy of high-dose, once-weekly 2.4 mg semaglutide on body weight reduction among patients with obesity with/without diabetes mellitus. Semaglutide was associated with more gastrointestinal-related side effects compared to placebo but was generally safe and well tolerated. In all the STEP studies, despite the varying intestines of the behavioral programs, weight loss was very similar. For the first time, there may be a suggestion that these behavioral programs might not increase weight reduction beyond the effect of semaglutide. Nevertheless, the importance of nutritional support during substantial weight loss with pharmacotherapy needs to be re-evaluated.

Objectives: To evaluate the available evidence of natural honey and its effect on improving lipid profiles among the adult population. Methods: The following databases were searched in May 2020 for randomized controlled trials (RCTs) and crossover studies without any restrictions in language, publication year, or status: CENTRAL, Embase Elsevier, ClinicalTrials.gov, MEDLINE, the WHO International Clinical Trials Registry Platform, and Google Scholar. We included all RCTs and crossover studies that studied the effect of natural honey on improving lipid levels in individuals at any age, for any dose and duration. Trials investigated the intake of honey alone or honey dissolved in water. The comparison groups were no intervention or placebo. Two independent reviewers screened and evaluated the included trials. The third reviewer was involved in resolving any disagreement. Our aim was to evaluate the evidence available regarding the effect of natural honey in improving lipid profile. Results: Seven trials with 370 participants fitted the inclusion criteria. Pooled analysis showed, honey was found to reduce total cholesterol levels with statistical significance (mean difference [MD]: -14.97 mg/dl, 95% CI: 19.61 to -10.32). Honey was associated with a statistically significant increase in high-density lipoprotein (HDL) levels (MD: 1.78 mg/dl, 95% CI: 0.68 to 2.88). There was a statistically significant LDL reduction level (MD: 18.99 mg/dl, 95% CI: -22.79 to -15.20). Finally, honey was found to lower triglyceride levels significantly (MD: 9.68 mg/dl, 95% CI: -15.56 to -3.80). Conclusions: Total cholesterol was significantly reduced with the use of natural honey intake, as well as low-density lipoprotein (LDL), and triglycerides. High-density lipoprotein showed significant increment. Small quantity of honey can be recommended for patients with dyslipidemia. The impact on clinical outcomes such as cardiovascular mortality and morbidity needs to be evaluated in large studies. PROSPERO REG. NO. CRD: 42020130741

Saudi Arabia has an alarmingly high incidence of cardiovascular disease (CVD) and its associated risk factors. To effectively assess CVD risk, it is essential to develop tailored models for diverse regions and ethnicities using local population variables. No CVD risk prediction model has been locally developed. This study aims to develop the first 10-year CVD risk prediction model for Saudi adults aged 18 to 75 years. The electronic health records of Saudi male and female patients aged 18 to 75 years, who were seen in primary care settings between 2002 and 2019, were reviewed retrospectively via the Integrated Clinical Information System (ICIS) database (from January 2002 to February 2019). The Cox regression model was used to identify the risk factors and develop the CVD risk prediction model. Overall, 451 patients were included in this study, with a mean follow-up of 12.05 years. Thirty-five (7.7%) patients developed a CVD event. The following risk factors were included: fasting blood sugar (FBS) and high-density lipoprotein cholesterol (HDL-c), heart failure, antihyperlipidemic therapy, antithrombotic therapy, and antihypertension therapy. The Bayesian information criterion (BIC) score was 314.4. This is the first prediction model developed in Saudi Arabia and the second in any Arab country after the Omani study. We assume that our CVD predication model will have the potential to be used widely after the validation study.

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Background: Obesity is a significant risk factor for multiple diseases such as diabetes mellitus and cardiovascular diseases. Many healthcare organizations worldwide have identified a high prevalence of obesity among their employees. In this study, we are looking at the prevalence of obesity among the employees of our healthcare organization and its impact on the employees' productivity and if its current prevalence is costly to the employer.Methods: This is a non-interventional cross-sectional study conducted at King Faisal Specialist Hospital and Research Centre in Riyadh, Saudi Arabia. Data on the current employees were obtained from medical records. We investigated a random sample of employees who worked in the hospital for at least one year between January 1, 2021 and January 1, 2022. We explored the prevalence of obesity among hospital employees at the beginning of their employment and its current prevalence. In addition, we aimed to investigate the effect of having employees suffering from obesity on their productivity and their utilization of healthcare during their employment period.Results: We identified that our hospital has relatively younger healthcare workers and more employees who are suffering from obesity than in different other countries. The percentage of obese male and female employees was comparable. We had a relatively high increase in the prevalence of obesity among our employees during the last few years. We found a higher number of obesity-related medical problems, more office visits, more sick leaves, and more medications prescribed for overweight and employees who are suffering from obesity compared to those with normal weight. Conclusion: Healthcare workers suffering from obesity had lower productivity and they had higher utilization of healthcare. Therefore, employers should investigate the prevalence of obesity in their organization and implement diverse strategies to prevent and manage this issue to help their employees have better health and, at the same time, be more productive and lower their utilization of healthcare.