scholarly journals Persuasive Effects of Message Framing and Narrative Format on Promoting COVID-19 Vaccination: A Study on Chinese College Students

2021 ◽  
Vol 18 (18) ◽  
pp. 9485
Author(s):  
WeiMing Ye ◽  
Qian Li ◽  
Shubin Yu
Keyword(s):  
College Students ◽  
Message Framing ◽  
Perceived Benefits ◽  
Health Crisis ◽  
Chinese College Students ◽  
Perceived Severity ◽  
Health Related ◽  
Narrative Format ◽  
Gain Loss ◽  
Perceived Costs

During a public health crisis, the provision and dissemination of health-related information are important for the relevant authorities to keep the public informed. By using different types of message framing, the authorities can effectively guide and persuade people to adopt health-related behaviors (such as vaccination). In this study, a web-based experiment using a 2 × 2 (message framing: gain framing versus loss framing) × (message presentation: narrative versus non-narrative) design was conducted to investigate the effects of different message frames on vaccination promotion. In total, 298 college students were recruited to participate in this study. The results suggest that, for message framing, loss-framed (vs. gain-framed) messages lead to higher intentions to get vaccinated. Furthermore, compared with non-narrative messages, narrative messages are more persuasive in promoting vaccination behavior. However, the interaction effect between gain–loss message framing and narrative framing is not significant. Additionally, perceived severity, perceived benefits, and perceived costs mediate the effect of narrative framing on behavioral intentions. In other words, compared with non-narrative messages, narrative messages lead to higher levels of perceived severity and perceived benefits, and a lower level of perceived costs, which in turn increase intentions to get vaccinated. This paper provides insightful implications for both researchers and practitioners.

scholarly journals A Study on the Effect of Personality Traits and Social Support on Psychological Health of Chinese College Students Based on Data Mining Technology

2021 ◽  
Author(s):  
Ying Wu ◽  
Huaqing Guo ◽  
Hongxia Li ◽  
Wenxiao Yang
Keyword(s):  
Social Support ◽  
College Students ◽  
Personality Traits ◽  
Psychological Health ◽  
Psychological Intervention ◽  
Effect Factors ◽  
Chinese College Students ◽  
Intervention Measures ◽  
Social Support Scale ◽  
Health Related

Abstract Background With the continuous development of the society, the pace of life is accelerating, psychological health has become an important factor affecting people's quality of life. Domestic studies have shown that mental diseases have become an important cause of College Students' sick leave, withdrawal, addiction, crime and suicide. Personality traits and social support factors have been considered to be related to psychological health. Methods In this study, Symptom Checklist-90 (SCL-90), Eysenck Personality Questionaire (EPQ) and Perceived Social Support Scale (PSSS) of some freshmen in 2020 were randomly selected from the psychological census database of a university in China as the research data. The decision tree algorithm was used to establish a predictive model for psychological health related personality straits and social support factors of college students. In association analysis, we got the most closely effect factors with psychological health or psychological abnormality by analyzing important association rules. According to the distance, all effect factors were classified into different clusters by system clustering, and the relationship between effect factors and mental health was further analyzed. Results Combining the results of the three algorithms, we found that social support and personality traits factors had a certain rule on the effect of college students' psychological health, and social support factors were more important than personality traits factors. Among the social support factors, the most important was family support, followed by friend support and other support. The higher the level of support of the three, the greater the possibility of psychological health. In the personality traits factors, the most important was N, followed by E, and P. The three grades were high or low, may lead to abnormal psychology, and the medium grade was an important condition to maintain psychological health. Conclusion The results provided important references for the analysis of the effect factors on psychological health and important theoretical basis for the formulation of psychological intervention measures for college students.

Effectiveness of sequentially delivered web-based interventions on promoting physical activity and fruit-vegetable consumption among college students: A mixed-methods approach (Preprint)

2021 ◽  
Author(s):  
Yanping Duan ◽  
Wei Liang ◽  
Yanping Wang ◽  
Sonia Lippke ◽  
Zhihua Lin ◽  
...  
Keyword(s):  
College Students ◽  
Behavior Change ◽  
Qualitative Data ◽  
Vegetable Consumption ◽  
Behavior Intervention ◽  
Control Group ◽  
Delivery Mode ◽  
Web Based ◽  
Chinese College Students ◽  
Health Related

BACKGROUND Evidence indicated a high prevalence of physical inactivity and insufficient consumption of fruit and vegetables among college students. Web-based interventions for multiple health behavior change (MHBC) appears to be a promising approach to change the unhealthy habit. Limited research has tested this assumption in promoting physical activity (PA) and fruit-vegetable consumption (FVC) among Chinese college students. Moreover, the best sequential delivery mode of MHBC intervention needs to be addressed. OBJECTIVE From both quantitative and qualitative perspectives, this study aimed to examine (1) the effectiveness of two sequentially delivered 8-week web-based interventions on PA, FVC and health-related outcomes, and (2) which sequential timing is superior in behavior change. The intervention content was based on the health action process approach. Self-reported data were evaluated including PA, FVC, and health-related outcomes (Body Mass Index (BMI), depression and quality of life). METHODS In a randomized controlled trial (RCT), 552 eligible college students (Mean = 19.99 ± 1.04 years, 58.3% female) were randomly assigned to one of three groups: PA-first (4 weeks of PA followed by 4 weeks of FVC intervention), FVC-first (4 weeks of FVC followed by 4 weeks of PA intervention), and a control group (8 weeks of placebo treatment unrelated to PA and FVC). A total of 4 web-based assessments were conducted, including at baseline (T1, n = 565), after 4 weeks (T2, after the first behavior intervention, n = 486), after 8 weeks (T3, after the second behavior intervention, n = 420), and after 12 weeks (T4, 1-month post-intervention follow-up, n = 348). In addition, after the completion of the entire 8-week intervention, 18 participants (Mean = 19.56 ± 1.04 years, 55.6% female) who completed the whole program were immediately invited to attend one-to-one and face-to-face semi-structured interviews. The participants were asked about their experience of participating in this program regarding their changes in health behaviors and health-related outcomes. The entire study was conducted throughout the fall semester of 2017. RESULTS Both quantitative and qualitative data supported superior effects on PA, FVC and BMI in two sequential intervention groups compared to the control group. In addition, the quantitative data found no significant behavior change differences between two sequential intervention groups after 8 weeks. But FVC-first group contributed to more maintenance of FVC compared to the PA-first group after 12 weeks. Findings from the qualitative study revealed that both intervention groups reported superior effects for the first addressed behavior after 8 weeks. CONCLUSIONS This study provides comprehensive evidence for the effectiveness of sequentially delivered web-based MHBC interventions on PA and FVC among Chinese college students. The efficacy of two sequential timing interventions on behavior change is mixed in quantitative and qualitative data. The delivery mode of MHBC interventions in the future is discussed. CLINICALTRIAL ClinicalTrials.gov NCT03627949(posted on April 18, 2019). INTERNATIONAL REGISTERED REPORT RR2-10.1186/s12889-019-7438-1

scholarly journals Prevalence and its associated factors of depressive symptoms among Chinese college students during the COVID-19 pandemic

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mingli Yu ◽  
Fangqiong Tian ◽  
Qi Cui ◽  
Hui Wu
Keyword(s):  
Social Support ◽  
College Students ◽  
Depressive Symptoms ◽  
Online Education ◽  
Psychological Health ◽  
Associated Factors ◽  
Perceived Social Support ◽  
Depression Scale ◽  
Health Crisis ◽  
Chinese College Students

Abstract Background The COVID-19 pandemic has caused a mental health crisis around the world. The psychological health of college students also faces great challenges. This study aimed to investigate the prevalence and the related factors of depressive symptoms among Chinese college students. Methods This online cross-sectional survey was conducted via Wenjuanxing platform from March 3–15, 2020 and received 1681 effective questionnaires. Each questionnaire contains the Center for Epidemiologic Studies Depression scale, the Multi-Dimensional Scale of Perceived Social Support, the Herth Hope Index, and the self-designed items. Multivariable logistic regression was conducted to determine the significantly associated factors of depressive symptoms. Results The prevalence of depressive symptoms among college students was 56.8%. Sleep problems (OR 2.678, 95%CI 2.094–3.424), family members’ going out (OR 1.775, 95%CI 1.089–2.894), perceived more stress for online education (OR 1.642, 95%CI 1.191–2.263), fear of COVID-19 (OR 1.450, 95%CI 1.121–1.876), influence on social interaction (OR 1.354, 95%CI 1.053–1.741) and higher grade (OR 1.378, 95%CI 1.046–1.816) were considered as risk factors of depressive symptoms. Perceived social support (OR 0.354, 95%CI 0.259–0.484), hope (OR 0.052, 95%CI 0.034–0.080), female (OR:0.557, 95%CI 0.427–0.725) and higher monthly disposable income (OR 0.666, 95%CI 0.447–0.993) were identified as protective factors against depressive symptoms. Conclusions There was a high prevalence of depressive symptoms among Chinese college students during the COVID-19 pandemic. It is important to find ways to alleviate the pressure and fear of college students, to provide them with more social support, and to help them adapt to the changes in learning style and lifestyle.

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