Social media usage (SMU) and its relationship with working memory (WM) and academic performance remain unclear, and there is a lack of experimental evidence. We investigated whether WM mediates the association between SMU and academic performance, including the roles of depression, anxiety, and disordered social media use as possible contributors. A sample of 118 undergraduate students aged 19 to 28 from Saudi Arabia performed a WM test twice; for one assessment, participants were required to interact with social media before the test, and the other test was preceded by painting online. We also measured grade point average (GPA), habitual social media usage (SMU), depression (PHQ-9), anxiety (GAD-7), and disordered social media usage (SMDS). There was no significant difference between WM scores in the social media condition compared to the control condition, but when solely considering at least moderately depressed participants, social media use predicted significantly more errors in the social media condition compared to the control condition. Furthermore, higher SMDS scores were significantly predicted by higher PHQ-9 scores and more hours of habitual SMU. GPA scores were not predicted by WM performance or SMU. The present study is one of the first experimental attempts to compare the relationship between SMU and WM and highlights the priming effect of depression on the relationship between SMU and WM.

Background: The aging process makes geriatric populations more prone to various chronic diseases. Such diseases require older patients to be on more medications than any other age group and make them more susceptible to adverse drug events related to potentially inappropriate medications (PIMs). Aim: To identify the prevalence of potentially inappropriate medications among older people and explore the most commonly prescribed PIMs in hospitalized patients. Design and Setting: A retrospective study conducted in a large tertiary hospital among patients hospitalized in a 4 year period from January 2015 to December 2018. Methods: The 2019 Beers Criteria were used to assess PIMs in all inpatient prescribed medications focusing on the first class (i.e., drug/drug class to be avoided in older adults). Results: The mean age was 75.17 ± 7.66 years. A total of 684 (80.6%) patients were prescribed at least one medication listed in the first-class category of the 2019 Beers Criteria. Top five drugs were proton pump inhibitors (40.3%), nonsteroidal anti-inflammatory drugs (10.2%), metoclopramide (9.3%), benzodiazepines (8.4%), and insulin (5.4%). Conclusions: The prevalence of PIMs is high among older patients admitted to the hospital. More efforts are needed to investigate the potential reasons and develop action plans to improve concordance to Beers Criteria among healthcare providers.