Lipid-modifying agents (LMAs) are increasingly used to reduce lipid levels and prevent cardiovascular events but the magnitude of their consumption in different world regions is unknown. We aimed to describe recent global trends in LMA consumption and to explore the relationship between country-level LMA consumption and cholesterol concentrations. This cross-sectional and ecological study used monthly pharmaceutical sales data from January 2008 to December 2018 for 83 countries from the IQVIA Multinational Integrated Data Analysis System and total and non-high-density lipoprotein (non-HDL) cholesterol concentrations from the NCD Risk Factor Collaboration. Compound annual growth rate (CAGR) was used to assess changes in LMA consumption over time. From 2008 to 2018, use of LMAs increased from 7468 to 11,197 standard units per 1000 inhabitants per year (CAGR 4.13%). An estimated 173 million people used LMAs in 2018. Statins were the most used class of LMA and their market share increased in 75% of countries between 2008 and 2018. From 2013 to 2018, consumption of low-density lipoprotein lowering therapies increased (statins 3.99%; ezetimibe 4.01%; proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors 104.47%). Limited evidence supports a clear relationship between country-level changes in LMA consumption and mean total and non-HDL cholesterol concentrations in 2008 versus 2018. Since 2008, global access to LMAs, especially statins, has improved. In line with international lipid guideline recommendations, recent trends indicate growth in the use of statins, ezetimibe, and PCSK9 inhibitors. Country-level patterns of LMA use and total and non-HDL cholesterol varied considerably.

Coronavirus disease 2019 (COVID-19) is a rapidly spreading global pandemic. The clinical characteristics of COVID-19 have been reported; however, there is limited research investigating the clinical characteristics of COVID-19 in the Middle East. This study aims to investigate the clinical, radiological and therapeutic characteristics of patients diagnosed with COVID19 in Saudi Arabia. This study is a retrospective single-centre case series study. We extracted data for patients who were admitted to the Al-Noor Specialist Hospital with a PCR confirming SARS-COV-2 between 12th and 31st of March 2020. Descriptive statistics were used to describe patients’ characteristics. Continuous data were reported as mean ± SD. Chi-squared test/Fisher test were used as appropriate to compare proportions for categorical variables. A total of 150 patients were hospitalised for COVID-19 during the study period. The mean age was 46.1 years (SD: 15.3 years). The most common comorbidities were hypertension (28.8%, n = 42) and diabetes mellitus (26.0%, n = 38). Regarding the severity of the hospitalised patients, 105 patients (70.0%) were mild, 29 (19.3%) were moderate, and 16 patients (10.7%) were severe or required ICU care. This case series provides clinical, radiological and therapeutic characteristics of hospitalised patients with confirmed COVID-19 in Saudi Arabia.

Introduction: The management of chronic illnesses commonly includes a long-term pharmacological approach. Although these medications effectively control disease, their full benefits are often not realized because approximately 50% of patients do not take their medications as prescribed. Medication adherence has become a big concern to clinicians and healthcare systems in Saudi Arabia and worldwide because of growing evidence associating nonadherence with adverse outcomes and higher costs of care. Despite it being a well-recognized problem, few studies have investigated medication adherence in Saudi Arabia. Therefore, this study aims to gain a better perspective on medication adherence among patients with chronic diseases in Saudi Arabia. Method: A questionnaire-based cross-sectional study was conducted among patients with chronic diseases in the Makkah region, Saudi Arabia, from 1 May to 31 July 2021. Patients aged 18 years and above who were taking prescribed or over-the-counter medications were included. Descriptive statistics were used to describe the participants’ characteristics, and categorical variables were reported as frequencies and percentages. A Chi-square test was used to test the relations between variables. Results: In total, 239 participants were included in the study. Females represented 62% of the participants. In terms of the history of chronic diseases, 44% had hypertension, 40% had diabetes mellitus, 21% had heart diseases and 9% had asthma. Nearly half (49%) of participants did not follow up regularly with a primary healthcare center and 42% said that they had forgotten to take their medications in the past. However, most of the participants (78%) stated that they took their medicine as instructed by their doctor or pharmacist, and 61% took their medications on time. The majority of participants (85%) said that the pharmacist explained the method of using the medications and the instructions for use, while 30% thought that the medications they took were too much. In regard to the reasons for medication nonadherence, having no specific reasons for medication nonadherence was the most common cause for nonadherence in our study. The relationship between patients taking medications as instructed by a healthcare provider (the doctor or pharmacist) and the healthcare provider giving clear instructions to patients about medication use was significant (p < 0.001). Conclusions: Failure to adhere is a significant problem that not only affects the patient but also the healthcare system. Additional research is needed to monitor medication adherence and identify factors contributing to this problem to provide successful strategies to improve medication adherence in Saudi Arabia.

Background: Previous studies investigating the impact of social media influencers on food consumption are limited. Therefore, this study explores the influence of social media on people’s health choices to understand the consequences of food consumption among the Saudi community. Patients and Methods: A cross-sectional study using an online survey was conducted in Saudi Arabia between 24 June and 20 July 2021. A convenience sample of eligible participants was used to recruit the study participants. A 32-items questionnaire was distributed via social media platforms (Facebook, Twitter, Snapchat, and Instagram). In addition, significant predictors of people being affected by social media to change diet and living with obesity were determined using binary logistic regression. Results: A total of 1124 participants were involved in this study. More than half of them (57.8%) were females and aged below 40 years (57.4%). The study participants’ median body mass index (BMI) was 27.4 kg/m² (IQR: 23.5– 32.5). Around one-third of the study participants (36.6%) reported following influencers on social media. The median attitude score for the study participants was 15.00 (IQR: 1.00– 27.00) out of 72, equal to 20.8%, which highlights that social media influence the diet of around one-fifth of the study participants. Males were less likely to be affected by social media than females (OR: 0.51; (95% CI: 0.40– 0.65). Participants with obesity and participants who had tried a diet to lose weight were more likely to be affected by social media, with odds ratios of 2.14, and 4.83, respectively. Followers of social media influencers were 10-folds more likely to be affected by social media than others. Conclusion: This study showed that social media might influence the food consumption manner in the Saudi population.

Background: The current study aimed to evaluate the impact of the coronavirus (COVID-19) pandemic on sleep quality, insomnia, anxiety, stress, fatigue and active coping in the United States. Methods: This was a cross-sectional study using a publicly available database taken from the Boston College COVID-19 Sleep and Well-Being Dataset. We have selected the most recent data that included information about sleep quality and other measures, including insomnia, anxiety, stress, fatigue and coping, collected between 22 February–8 March 2021. Results: A total of 476 subjects were included in the analysis. The mean (SD) age of the study population was 38.8 (17.8) years, and there were more females (85%) than males. The population had a mean (SD) score of the Pittsburgh Sleep Quality Index (PSQI) of 6 (3.2), with 65% having the prevalence of poor sleep quality (defined as PSQ ≥ 5; n = 311). The mean (SD) score for Insomnia Severity Index (ISI) was 6.9 (5.2), with 55 subjects (11.5%) having clinical insomnia (defined as ISI ≥ 15); of whom 9% had severe clinical insomnia. There were positive correlations between PSQI and ISI (r = 0.76, p < 0.001), PROMIS fatigue scale (r = 0.53, p < 0.001), Generalized Anxiety Disorder-7 (GAD-7) (r = 0.46, p < 0.001), and Perceived Stress Scale (PSS) (r = 0.44, p < 0.001). The PSQI was inversely correlated with the John Henryism Active Coping Scale (JHACS) and memory scale. In the multivariate regression model, JHACS, ISI, fatigue, PSS and GAD-7 were significant predictors of PSQI, and these variables accounted for 62% of the variance of PSQI, adjusted for age and gender. Conclusion: An important contribution to the literature is made by this research, which demonstrates the significant prevalence of poor sleep quality and its association with insomnia and other mental and physical well-being. It also underlines the need to prioritise policy and public health efforts to address sleep issues that have substantial health and economic effects for both individuals and the population at large.