Background: The impact of the COVID-19 pandemic on populations’ mental health has started to emerge. Objectives: To describe the mental health trends of the risk of major depressive disorder (MDD) and generalized anxiety disorder (GAD) between May and August 2020. It also compares the results with pre-COVID-19 results and identifies risk factors associated with increased likelihood of being at risk of MDD and GAD. Method: This study utilizes repeated cross-sectional design, at national-level coverage of mental health screenings via computer-assisted phone interviews conducted in four waves monthly (between May and August 2020). Arabic-speaking adults from Saudi Arabia were recruited via a random phone list. The questionnaire includes the Arabic version of the Patient Health Questionnaire (PHQ-9) and the General Anxiety Disorder-7 (GAD-7). Pre-COVID-19 comparison was done using the PHQ-2 score to allow for comparison with a previous and similar national study conducted in 2018. Results: Across the four waves, 16,513 participants completed the interviews, with an overall response rate of 81.3%. The weighted national prevalence of people at risk of MDD was 14.9% overall, and 13.8%, 13.6%, 16.8%, and 15.3% in Waves 1, 2, 3, and 4, respectively. The weighted national prevalence of people at risk of GAD was 11.4%, overall, and 10.9%, 10.7%, 12.4%, and 11.7% in Waves 1, 2, 3, and 4, respectively. The weighted national proportion of individuals who were at risk of MDD and GAD at the same time was 7.4% overall. The risk of MDD on PHQ-2 increased by 71.2%, from 12.5% in 2018 to 21.4% in 2020. Conclusions: The risks of MDD and GAD in this study are relatively high. These results can help decision makers to understand the impact of the COVID-19 pandemic on the population’s mental health and the most-impacted subgroups. • In the first national study of COVID-19 impact on mental health form Saudi Arabia, the risk of depression in Saudi Arabia increased by 71.2% between May and August 2020 compared to 2018.

Background: Saudi Arabia is experiencing rapid development of the built environment and implementing policy changes to promote physical activity (PA) and reduce sedentary behavior (SB) among its population. In light of these developments, this scoping review systematically summarized population levels of PA/SB in Saudi Arabia. Methods: The authors searched 6 databases on December 13, 2021, for articles published in English or Arabic from 2018 to the search date. Studies using population-based sampling in Saudi Arabia and measuring PA/SB were included. Results: Of the 1272 records found, 797 were screened, and 19 studies (9 on children/adolescents age 6–19 y and 10 on adults age 15–75 y) were included. All studies were cross-sectional in design, and 18 studies collected data at only one point in time, ranging from 2009 to 2020. A total of 18 studies relied on self-reporting to assess PA/SB using a variety of questionnaires. Among children/adolescents, approximately 80% to 90% did not attain at least 60 minutes per day of moderate to vigorous PA and 50% to 80% engaged in ≥2 hours per day of screen time or SB. Among adults, approximately 50% to 95% had low or insufficient PA (eg, less than meeting PA guidelines) and about half had a sitting time of ≥5 hours per day. Population-based studies were not found among children 75 years. Conclusions: A high proportion of participants in the reviewed studies did not meet PA recommendations and spent excessive time in SB. Ongoing surveillance efforts for all ages may help identify target populations for interventions and prioritize the national strategy on PA/SB in Saudi Arabia.

To estimate the current burden of seven major noncommunicable diseases on direct medical costs, absenteeism, and presenteeism in the six countries in the Gulf Cooperation Council: Bahrain, Kuwait, ...

Background: The COVID-19 outbreak can potentially be categorized as a traumatic event. Public health surveillance is one of the cornerstones of public health practice, and it empowers decision makers to lead and manage public health crises and programs more effectively by providing timely and useful evidence. Objective: This paper presents the protocol for a study that aims to identify, track, and monitor trends in the population in Saudi Arabia at risk of major depressive disorders and anxiety during the COVID-19 pandemic. Methods: This study utilizes continuous, cross-sectional, national-level mental health screening via computer-assisted phone interviews, conducted in four waves on a monthly basis (between May and August 2020). Arabic-speaking adults, aged ≥18 years, and living in Saudi Arabia were recruited via a random phone list. This surveillance system used the proportional quota sampling technique to achieve an equal distribution of participants, stratified by age and gender, and region, within and across the 13 administrative regions of Saudi Arabia. A sample size of 4056 participants per wave was calculated to achieve enough power to detect changes in mental health status. The questionnaire includes the Arabic version of the Patient Health Questionnaire-9 (PHQ-9) to measure depressive symptoms and the General Anxiety Disorder-7 (GAD-7) to measure anxiety. In addition, it will collect data on sociodemographic variables and potential risk factors. Results: Study recruitment began in May 2020. The data analysis was completed in October 2020, and the final report is expected to be published by the end of December 2020. Conclusions: Monitoring the population’s mental health status during the COVID-19 pandemic will inform decision makers of any potential deterioration in mental health on a national level and among subgroups, including across regions, age groups, and gender groups. It will allow decision makers to recognize issues and intervene sooner. It will also provide valuable scientific data to help understand the effects of epidemics and pandemics on mental health. As far as we know, this is the only study that attempts to monitor the mental health status of the general population on a monthly basis. International Registered Report Identifier (IRRID): DERR1-10.2196/23748

Background: The prevalence of noncommunicable diseases (NCDs) has been increasing in Saudi Arabia. Aims: Our objective was to estimate the effect of NCDs on direct medical costs and workforce productivity in Saudi Arabia. Methods: To estimate direct medical costs, we estimated the unit cost of treating 10 NCDs, then multiplied the unit cost by disease prevalence and summed across diseases. To estimate workforce productivity losses, we multiplied gross domestic product per person in the labour force by the loss in productivity from each NCD and the prevalence in the labour force of each NCD. Results: We estimated annual direct medical costs of 11.8 billion international dollars (Int$) for the 10 NCDs assessed (13.6% of total annual health expenditure). We estimated workforce productivity losses of Int$ 75.7 billion (4.5% of gross domestic product). Conclusion: The economic burden of NCDs in Saudi Arabia – particularly the effect on worker productivity – is substantial.

Non-pharmaceutical interventions have been widely employed to control the COVID-19 pandemic. Their associated effect on SARS-CoV-2 transmission have however been unequally studied across regions. Few studies have focused on the Gulf states despite their potential role for global pandemic spread, in particular in the Kingdom of Saudi Arabia through religious pilgrimages. We study the association between NPIs and SARS-CoV-2 transmission in the Kingdom of Saudi Arabia during the first pandemic wave between March and October 2020. We infer associations between NPIs introduction and lifting through a spatial SEIR-type model that allows for inferences of region-specific changes in transmission intensity. We find that reductions in transmission were associated with NPIs implemented shortly after the first reported case including Isolate and Test with School Closure (region-level mean estimates of the reduction in R₀ranged from 25–41%), Curfew (20–70% reduction), and Lockdown (50–60% reduction), although uncertainty in the estimates was high, particularly for the Isolate and Test with School Closure NPI (95% Credible Intervals from 1% to 73% across regions). Transmission was found to increase progressively in most regions during the last part of NPI relaxation phases. These results can help informing the policy makers in the planning of NPI scenarios as the pandemic evolves with the emergence of SARS-CoV-2 variants and the availability of vaccination.