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1.
Res Nurs Health ; 45(6): 636-651, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2034941

ABSTRACT

During the COVID-19 pandemic, healthcare professionals are exposed to extreme hazards and workplace stressors. Social media postings by physicians and nurses related to COVID-19 from January 21 to June 1, 2020 were obtained from the Reddit website. Topic modeling via Latent Dirichlet Allocation (LDA) using a machine-learning approach was performed on 1723 documents, each posted in a unique Reddit discussion. We selected the optimal number of topics using a heuristic approach based on examination of the rate of perplexity change (RPC) across LDA models. A two-step multiple linear regression was done to identify differences across time and between nurses versus physicians. Prevalent topics included excessive workload, positive emotional expression and collegial support, anger and frustration, testing positive for COVID-19 and treatment, use of personal protective equipment, impacts on healthcare jobs, disruption of medical procedures, and general healthcare issues. Nurses' posts initially reflected concern about workload, personal danger, safety precautions, and emotional support to their colleagues. Physicians posted initially more often than nurses about technical aspects of the coronavirus disease, medical equipment, and treatment. Differences narrowed over time: nurses increasingly made technical posts, while physicians' posts increasingly were in the personal domain, suggesting a convergence of the professions over time.


Subject(s)
COVID-19 , Health Communication , Social Media , Humans , Pandemics , SARS-CoV-2
2.
Addict Behav ; 126: 107204, 2022 03.
Article in English | MEDLINE | ID: covidwho-1540341

ABSTRACT

INTRODUCTION: Adolescents in remote education during the COVID-19 pandemic had few opportunities to socialize in person, resulting in a significant rise in the use of social networks or instant messaging applications. However, excessive use may promote addictive tendencies towards these platforms, with negative consequences for adolescents' well-being. AIMS: In this study, we investigated the prevalence of smartphone and social media application use in early-to-late adolescents in remote education. We examined the relative impact of different social media applications on self-reported tendencies toward social media addiction. METHODS: The sample consisted of 765 Italian adolescents (Age: M = 14.11 ± 2.2; 401 females) who reported on use of the smartphone, social media applications, namely WhatsApp, Facebook, Twitter, TikTok, Instagram, Snapchat, Telegram, Messenger, and YouTube. Mean differences in social media addiction across group reporting different patterns of social media use were investigated. The contribution of each social media application in predicting social media addiction was determined using a random forest algorithm. RESULTS: On average, adolescents using just WhatsApp and YouTube reported the lowest social media addiction compared with peers also using Instagram or TikTok (or both of them). Overall, we found time spent on smartphone, and use of TikTok were the strongest predictors of social media addiction, followed by use of Facebook, Telegram, Messenger, and Twitter. Instagram, Snapchat, and WhatsApp use showed no effect when examined together with the other platforms. CONCLUSIONS: Findings indicated that TikTok was the most addictive application during the COVID-19 pandemic, overshadowing other very popular applications with similar visual affordances.


Subject(s)
COVID-19 , Social Media , Adolescent , Female , Humans , Internet Addiction Disorder , Pandemics , SARS-CoV-2 , Smartphone
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