ABSTRACT
Social media use and texting among college students often coincide with drinking. The present study investigated the associations between monthly alcohol use, social media habits, sharing alcohol references, and drunk texting among Hispanic college students. Participants (n = 620, 71.6% female; Mage = 21.07 years, SD = 3.60) completed an online survey containing: demographics, drug use frequency, Sharing of Alcohol-Related Content on Social Media Sites Scale (SARC), Texting Under the Influence Scale, Strategic Self Presentation Scale, Bergen Social Media Addiction Scale, and iPhone Screen Time. Bivariate correlations assessed relationships between all variables. Six logistic regressions assessed subscales of the SARC, and a linear regression assessed the Texting Under the Influence Scale. Almost 15% of participants met criteria for social media addiction, almost 40% reported ever sharing alcohol posts, and approximately 20% reported drunk texting at least once per month. Participants with iPhones averaged 16.84 weekly hours on social media (based on "screen time"). Frequently posting references of drinking alone was associated with more time on social media, higher social media addiction, and greater public sharing of alcohol content. Conversely, posting references of drinking at social gatherings was associated with privately sharing alcohol references and increased social media addiction. Drunk texting was related to increased age, greater Instagram use, decreased Facebook use, and privately sharing alcohol posts. Findings suggest patterns of drinking and sharing alcohol-related content to inform health promotion efforts, especially while many during COVID-19 are heightening use of alcohol and social media.
ABSTRACT
Several comorbidities have been shown to be associated with coronavirus disease 2019 (COVID-19) related severity and mortality. However, considerable variation in the prevalence estimates of comorbidities and their effects on COVID-19 morbidity and mortality have been observed in prior studies. This systematic review and meta-analysis aimed to determine geographical, age, and gender related differences in the prevalence of comorbidities and associated severity and mortality rates among COVID-19 patients. We conducted a search using PubMed, Scopus, and EMBASE to include all COVID-19 studies published between January 1st, 2020 to July 24th, 2020 reporting comorbidities with severity or mortality. We included studies reporting the confirmed diagnosis of COVID-19 on human patients that also provided information on comorbidities or disease outcomes. We used DerSimonian and Laird random effects method for calculating estimates. Of 120 studies with 125,446 patients, the most prevalent comorbidity was hypertension (32%), obesity (25%), diabetes (18%), and cardiovascular disease (16%) while chronic kidney or other renal diseases (51%, 44%), cerebrovascular accident (43%, 44%), and cardiovascular disease (44%, 40%) patients had more COVID-19 severity and mortality respectively. Considerable variation in the prevalence of comorbidities and associated disease severity and mortality in different geographic regions was observed. The highest mortality was observed in studies with Latin American and European patients with any medical condition, mostly older adults (≥ 65 years), and predominantly male patients. Although the US studies observed the highest prevalence of comorbidities in COVID-19 patients, the severity of COVID-19 among each comorbid condition was highest in Asian studies whereas the mortality was highest in the European and Latin American countries. Risk stratification and effective control strategies for the COVID-19 should be done according to comorbidities, age, and gender differences specific to geographical location.