scholarly journals Psychological Impact of Health Risk Communication and Social Media on College Students During the COVID-19 Pandemic: Cross-Sectional Study

10.2196/20656 ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. e20656
Author(s):  
Mengyao Li ◽  
Li Liu ◽  
Yilong Yang ◽  
Yang Wang ◽  
Xiaoshi Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
College Students ◽  
Social Media ◽  
Health Risk ◽  
Risk Communication ◽  
Psychological Health ◽  
Protective Factor ◽  
Psychological Symptoms ◽  
Health Anxiety ◽  
Web Based

Background The outbreak of COVID-19 began in 2019 and is expected to impact the psychological health of college students. Few studies have investigated the associations among health risk communication, social media, and psychological symptoms during a major pandemic. Objective The aim of this research was to assess the prevalence of psychological symptoms among college students and explore their associations with health risk communication and social media. Methods A web-based survey was distributed through the Wenjuanxing platform among Chinese college students from March 3-15, 2020. In addition to demographics, information on health risk communication and social media was collected, and the Symptom Checklist 90 Phobia and Health Anxiety Inventory subscale was used to assess psychological symptoms among 1676 college students in China. Multivariable logistic regression was performed to examine these independent risk factors. Results The prevalence of panic and health anxiety was 17.2% (288/1676) and 24.3% (408/1676), respectively. Regarding risk communication, understanding the risk of COVID-19 (odds ratio [OR] 0.480, 95% CI 0.367-0.627) was a protective factor against panic. Knowledge of prognosis (OR 0.708, 95% CI 0.551-0.910), preventive measures (OR 0.380, 95% CI 0.195-0.742), and wearing face masks (OR 0.445, 95% CI 0.230-0.862) were shown to be protective factors in predicting health anxiety. Perceived lethality (OR 1.860, 95% CI 1.408-2.459), being affected by the global spread (OR 1.936, 95% CI 1.405-2.669), and impact on social contacts (OR 1.420, 95% CI 1.118-1.802) were identified as significant risk factors associated with health anxiety. In terms of social media, trust in mainstream media (OR 0.613, 95% CI 0.461-0.816) was considered to be a protective factor against health anxiety. Conclusions There was a high prevalence of psychological symptoms among college students. Health risk communication and social media use were important in predicting psychological symptoms, especially health anxiety. Scientific and evidence-based information should be reported by social media platforms. Web-based consultation and intervention measures should be the focus of future studies.

scholarly journals Psychological Impact of Health Risk Communication and Social Media on College Students During the COVID-19 Pandemic: Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Mengyao Li ◽  
Li Liu ◽  
Yilong Yang ◽  
Yang Wang ◽  
Xiaoshi Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
College Students ◽  
Social Media ◽  
Health Risk ◽  
Risk Communication ◽  
Psychological Health ◽  
Protective Factor ◽  
Psychological Symptoms ◽  
Health Anxiety ◽  
Web Based

BACKGROUND The outbreak of COVID-19 began in 2019 and is expected to impact the psychological health of college students. Few studies have investigated the associations among health risk communication, social media, and psychological symptoms during a major pandemic. OBJECTIVE The aim of this research was to assess the prevalence of psychological symptoms among college students and explore their associations with health risk communication and social media. METHODS A web-based survey was distributed through the Wenjuanxing platform among Chinese college students from March 3-15, 2020. In addition to demographics, information on health risk communication and social media was collected, and the Symptom Checklist 90 Phobia and Health Anxiety Inventory subscale was used to assess psychological symptoms among 1676 college students in China. Multivariable logistic regression was performed to examine these independent risk factors. RESULTS The prevalence of panic and health anxiety was 17.2% (288/1676) and 24.3% (408/1676), respectively. Regarding risk communication, understanding the risk of COVID-19 (odds ratio [OR] 0.480, 95% CI 0.367-0.627) was a protective factor against panic. Knowledge of prognosis (OR 0.708, 95% CI 0.551-0.910), preventive measures (OR 0.380, 95% CI 0.195-0.742), and wearing face masks (OR 0.445, 95% CI 0.230-0.862) were shown to be protective factors in predicting health anxiety. Perceived lethality (OR 1.860, 95% CI 1.408-2.459), being affected by the global spread (OR 1.936, 95% CI 1.405-2.669), and impact on social contacts (OR 1.420, 95% CI 1.118-1.802) were identified as significant risk factors associated with health anxiety. In terms of social media, trust in mainstream media (OR 0.613, 95% CI 0.461-0.816) was considered to be a protective factor against health anxiety. CONCLUSIONS There was a high prevalence of psychological symptoms among college students. Health risk communication and social media use were important in predicting psychological symptoms, especially health anxiety. Scientific and evidence-based information should be reported by social media platforms. Web-based consultation and intervention measures should be the focus of future studies.

scholarly journals Analysis of Dietary Related Factors of Recurrent Aphthous Stomatitis among College Students

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Qian Du ◽  
Shenglou Ni ◽  
Yanling Fu ◽  
Sanhai Liu
Keyword(s):  
Risk Factors ◽  
College Students ◽  
Protective Factor ◽  
Dietary Habits ◽  
Recurrent Aphthous Stomatitis ◽  
Aphthous Stomatitis ◽  
Binary Logistic Regression Analysis ◽  
Fruit Intake ◽  
Carbonated Beverages ◽  
Frequent Drinking

Objective. We investigated the occurrence of recurrent aphthous stomatitis (RAS) among college students and its potential influence by dietary habits. Methods. Study of dietary habits and RAS among students in Beijing University of Chinese Medicine was carried by homemade questionnaire. Multivariate binary logistic regression analysis was used to identify RAS risk factors and explore their relations. Results. Among 1011 investigated college students, family history (odds ratio (OR) 1.678, 95% confidence intervals (CI) 1.192 to 2.364, p<0.05), bed late (OR 1.515, 95% CI 1.005 to 2.285, p<0.05), frequent thirst (OR 1.842, 95% CI 1.393 to 2.435, p<0.001), and frequent drinking carbonated beverages (OR 1.369, 95% CI 1.029 to 1.821, p<0.05) were independent risk factors for RAS, but preference for nuts (OR 0.607, 95% CI 0.448 to 0.824, p<0.001) was a protective factor. There was no statistical difference in fruit intake between RAS and non-RAS groups (χ2 = 5.249, p>0.05). Conclusions. Among college students, frequent drinking carbonated beverages or frequent thirst will increase its possibility, whereas preference for nuts provides protection. In addition, fruit intake does not have a positive effect.

The Feasibility of a Web-Based Surveillance System to Collect Health Risk Behavior Data from College Students

2001 ◽  
Vol 28 (5) ◽  
pp. 547-559 ◽  
Author(s):  
Lisa N. Pealer ◽  
Robert M. Weiler ◽  
R. Morgan Pigg ◽  
David Miller ◽  
Steve M. Dorman
Keyword(s):  
College Students ◽  
Health Risk ◽  
Risk Behavior ◽  
Surveillance System ◽  
Health Risk Behavior ◽  
Web Based

Abstract WP377: Stroke Awareness in the Age of Social Media

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Beth Hundt ◽  
Kearby Chen
Keyword(s):  
Risk Factors ◽  
Social Media ◽  
Health System ◽  
Stroke Risk ◽  
Community Outreach ◽  
The Internet ◽  
Web Based ◽  
Stroke Awareness ◽  
Stroke Center ◽  
The Web

Background: May is recognized as Stroke Awareness month and many stroke programs design public awareness campaigns to provide education about the signs and symptoms of stroke and modifiable risk factors. An essential element of any stroke program includes the education of the community about stroke prevention, recognition, and early activation. Prior to 2016, community education consisted of blood pressure and risk factor screening by in various community settings. In 2016, the health system incorporated internet and social media components to education and community outreach during Stroke Awareness Month. Purpose: The purpose of this project was to analyze the added impact of incorporating interactive internet education and risk factor identification during Stroke Awareness Month. Methods: In 2016 we conducted a stroke awareness campaign of traditional screening and education events in the community. At these events, persons were offered a blood pressure measurement, asked about risk factors, and educated on the signs of stroke. Persons were also directed to a stroke risk profiler on the health system stroke center page that stratified their risk and possible interventions to reduce risk. Additional outreach and education efforts included an internet campaign directing persons to the risk profiler via internal health system media and social media. Paid social media, search and display ads for stroke signs and stroke risk also directed persons to the stroke risk profiler. Results: Traditional methods of education and screening yielded contact with 193 community members requiring approximately 50 hours of volunteer time. During May the web-based, interactive stroke risk assessment profiler was visited by 6,010 persons, and 1,570 fully completed the profiler. In subsequent months following the web-based community outreach campaign, traffic on the health system stroke center webpage remained at the high level of activity during May, and over 200% higher than traffic the previous year. Conclusions: Stroke awareness education and risk assessment is feasible and efficient via the internet and using social media. Using the internet and social media expands the size and increases the interaction of the community reached during Stroke Awareness Month.

Depression among military spouses: Demographic, military, and service member psychological health risk factors

2018 ◽  
Vol 35 (12) ◽  
pp. 1137-1144 ◽  
Author(s):  
Carrie J. Donoho ◽  
Cynthia LeardMann ◽  
Christopher A. O'Malley ◽  
Kristen H. Walter ◽  
Lyndon A. Riviere ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Psychological Health ◽  
Service Member ◽  
Military Spouses ◽  
Health Risk Factors

Self perceived health, as an indicator of psychological well-being: behavioural epidemiological analysis among the adolescent population

2012 ◽  
Vol 153 (47) ◽  
pp. 1875-1882 ◽  
Author(s):  
Pálma Kriston ◽  
Bettina Pikó ◽  
Eszter Kovács
Keyword(s):  
Risk Factors ◽  
High School Students ◽  
Health Status ◽  
Locus Of Control ◽  
Psychological Health ◽  
Protective Factor ◽  
Perceived Health ◽  
Well Being ◽  
Self Rated Health ◽  
Emotional Aggression

Background: Self rated health is a widely used measure in behavioural epidemiological studies which is a global, informative indicator of health status and quality of life. Aim: The main goal of the present study was to examine the relationship between subjective health status of adolescents with individual, psychological protective and risk factors. Method: The authors performed the study among youth in Szeged, Hungary in the autumn of 2010. Data collection was based on self-administered questionnaires. 656 high school students were included in the sample. Logistic regression analyses were applied to detect associations including the individual, psychological indicators as dependent variables and self perceived health as an independent variable. Results: It was found that adolescents with better self perceived health had higher scale points of optimism and satisfaction with life, whereas lower self rated health correlated with higher values of depression and emotional aggression. There were gender differences in both protective and risk factors. Internal locus of control was a protective factor while depression, emotional aggression, and external locus of control were risk factors of psychological health among girls. Conclusion: Self rated health can be a possible indicator of subjective well-being that may open a way to prevention in behavioural medicine. Orv. Hetil., 2012, 153, 1875–1882.

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