Chrome Extension
WeChat Mini Program
Use on ChatGLM

Social Media Use and COVID-19: A Cross-Sectional Study Examining Health Behaviors, Knowledge, and Mental Health Among University of Nevada, Reno Students

Molly M Hagen, Sarah Y.T. Hartzell,Paul G. Devereux

Health Behavior Research(2021)

Cited 1|Views1
No score
Abstract
Reliance on social media for health information is widespread, yet impacts of social media use (SMU) on health behaviors during infectious disease pandemics are poorly understood. We used a random sample from a university student directory to invite students to take a cross-sectional online survey during the coronavirus pandemic. Survey questions assessed adherence to public health guidelines, knowledge of COVID-19/SARS-CoV2, and mental health symptoms. Students were classified based on their level of SMU for information on COVID-19 as: (1) none, (2) some use, or (3) main source. Weighted regressions were used to relate SMU to adherence (five-point scale) and knowledge (six-point scale), with higher scores representing higher adherence/knowledge, and to mental health (PHQ-8 and GAD-7 scales). The weighted prevalence of SMU for COVD-19 information was 71.3%, and 17.1% of students identified SMU as their main source of COVID-19 information (total N = 181). Mean adherence ranged from 3.71±0.17 (SEM) for none, to 3.94±0.14 (SEM) for main source, and differences were not statistically significant at the 95% confidence level. Knowledge scores decreased from 5.44±0.11 (SEM) for none, to 5.38±0.08 for some, and 5.23±0.16 for main source (p = 0.056). The weighted prevalence of depression was 38.7%, 43.1%, and 51.9% for none, some use, and main source; weighted prevalence of anxiety was 19.7%, 27.0%, and 36.7%, respectively. Effects of SMU for information during pandemics on health behavior merits further research, especially regarding adherence to public health guidelines. In the case of COVID-19, SMU may be negatively correlated with knowledge and mental health.
More
Translated text
Key words
covid-19,social media,mental health,student,pandemic,public health
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined