Subjective health status: an easily available, independent, robust and significant predictive factor at the prometaphase of vaccination programs for the vaccination behavior of Chinese adults

Smartphone usage behaviors and their association with De Quervain's Tenosynovitis (DQT)among college students: a cross-sectional study in Guangxi, China

BACKGROUND

The growing prevalence of smartphone use among college students in China has led to health concerns, including De Quervain's Tenosynovitis (DQT). However, the specific smartphone usage behaviors contributing to DQT remain poorly understood. This study aimed to explore the relationship between smartphone usage behaviors and DQT in college students.

METHODS

A cross-sectional study was conducted with 937 students from various majors in Guangxi between September 2021 and April 2022. Participants completed an online questionnaire assessing smartphone usage behaviors and their association with DQT. The Finkelstein test was employed to diagnose DQT.

RESULTS

Over half of the college students (52%) tested positive for DQT via Finkelstein's test. Higher levels of smartphone usage time (6-8 h/day: OR = 4.454, 95%CI:1.662-12.229; ≥8 h/day: OR = 4.521, 95%CI:1.596-12.811), phone games (OR = 1.997, 95%CI:1.312-3.040), social media (OR = 2.263, 95%CI:1.795-3.833), and leisure activities (OR = 1.679, 95%CI:1.140-2.475) were significantly associated with an increased risk of DQT. Two specific gestures (Bilateral thumbs, BT: OR = 1.900, 95%CI:1.281-2.817; Bilateral thumbs-horizontal screen, BT-HS: OR = 1.872, 95%CI:1.244-2.818) and two screen sizes (5.0-5.5inch: OR = 2.064, 95%CI:1.108-3.846; 6.0-6.5inch: OR = 2.413, 95%CI:1.125-4.083) also exhibited a higher risk of DQT. Bilateral DQT was observed, with Gesture-BT identified as the primary risk factor.

CONCLUSION

Our findings suggest that increased smartphone usage time, phone games, social media, and leisure activities elevate the risk of DQT among college students. Furthermore, two specific gestures and two screen sizes were also linked to a heightened DQT risk. To mitigate DQT development, college students should reduce smartphone usage time and adopt appropriate gestures.

Social Media Overload as a Predictor of Depressive Symptoms Under the COVID-19 Infodemic: A Cross-Sectional Survey From Chinese University Students

Objectives: People's mental health and digital usage have attracted widespread attention during the COVID-19 pandemic. This study aimed to investigate how social media overload influenced depressive symptoms under the COVID-19 infodemic and the role of risk perception and social media fatigue. Methods: A questionnaire survey was conducted on 644 college students during the COVID-19 lockdown in Shanghai, and data analysis was conducted using the PROCESS4.0 tool. Results: The findings showed that in the COVID-19 information epidemic: 1) both information overload and communication overload were significantly and positively associated with depressive symptoms; 2) risk perception of COVID-19, and social media fatigue mediated this association separately; 3) and there was a chain mediating relationship between communication overload and depressive symptoms. Conclusion: Social media overload was positively associated with depressive symptoms among college students under the COVID-19 infodemic by increasing risk perception and social media fatigue. The findings sparked further thinking on how the public should correctly use social media for risk communication during public health emergencies.

COVID-19 vaccine uptake, reasons, and associated factors among older adults in Shenzhen, China

Evidence is limited on the actual uptake of the coronavirus disease 2019 (COVID-19) vaccine among older adults, especially those with chronic diseases, during the pandemic. To examine COVID-19 vaccine uptake, reasons, and associated factor among older adults, a cross-sectional survey was conducted between September 24 and October 20, 2021 among older adults aged 60 and above in Shenzhen, China. Logistic regression analysis was used to examine associations of COVID-19 vaccine uptake with sociodemographic characteristics, pneumonia vaccination history, and participation in health education activities among older adults and among those with chronic diseases. Of the 951 participants, 82.8% reported being vaccinated against COVID-19 during the study period, but this proportion was relatively lower among adults aged 80 and above (62.7%) and those with chronic diseases (77.9%). The top-rated reasons for not being vaccinated included doctors not recommending it due to underlying diseases (34.1%), not being ready for it (18.3%), and failure to make an appointment (9.1%). General older adults who were aged below 70, had a high school and above education, were permanent residents of Shenzhen, were with good health and had pneumonia vaccination history were more likely to take the COVID-19 vaccination. Yet, among older adults with chronic diseases, other than age and permanent residency status, health status was the only significant indicator of COVID-19 vaccine uptake. Our study added to evidence that health condition is the critical barrier to the actual uptake of the COVID-19 vaccine among Chinese older adults, especially those aged 80 and above and those with chronic diseases.

Social Media Overload and Anxiety Among University Students During the COVID-19 Omicron Wave Lockdown: A Cross-Sectional Study in Shanghai, China, 2022

Objectives: The increase in the intensity of social media use during the COVID-19 lockdown has affected mental health. Therefore, it is of practical implications to explore the association between social media overload and anxiety and the underlying mechanisms. Methods: Using data from 644 university students during the COVID-19 blockade in Shanghai from March to April 2022, the chain mediation model of information strain and risk perception of omicron between social media overload and anxiety was then tested using the macro PROCESS4.0 tool. Results: The findings showed that social media overload (including information overload and social overload) was positively associated with anxiety. This relationship was mediated by information strain and risk perception of Omicron. A chain mediating role of information strain and risk perception of Omicron has also been proved in this study. Conclusion: Social media overload has a positive effect on anxiety by increasing information strain and risk perception of Omicron. This study provides some implications for future interventions on how to use social media properly for mental health during the pandemic and health management of urban governance.