Status and Influencing Factors of Social Media Addiction in Chinese Medical Care Professionals: A Cross-Sectional Survey

Luo, Aijing; Kong, Weijie; He, Haiyan; Li, Yuanyuan; Xie, Wenzhao

doi:10.3389/fpsyg.2022.888714

Cited by 7 publications

(3 citation statements)

References 108 publications

(151 reference statements)

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“…The study results showed that our study sample was highly addicted to social media. Similar to the previous study, that found nurses, students and medical doctors were affected by social media addiction (Luo et al, 2022). In this study, the association between psychological distress and social media addiction was significant.…”

Section: Discussionsupporting

confidence: 89%

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The effect of social media addiction on psychological distress, sleep quality and loneliness among health care professional in Saudi Arabia

Rajeh¹,

Aboalshamat²,

Mahmoud³

et al. 2022

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With the rapid evolution of technology and social media, there has been a growing trend of social media addiction among health care professionals and this could have negative consequences on their mental health. This study was done to assess the relationship between social media addiction and; (i) psychological distress; (ii) sleep quality; and (iii) loneliness among health care professional in Saudi Arabia. This cross sectional study used an electronic questionnaire that was distributed through social media. The questionnaire included questions related to the measurement of demographics in terms of social media addiction, sleep quality, psychological distress, and loneliness. A total of 773 health care students or practitioners from different cities in Saudi Arabia completed the questionnaires. The participants score of psychological distress was directly associated with social media addiction (p<0.001), with Rsquared of 0.189. There was an inverse relationship between social media addiction and sleep quality (p<0.001). There was strong positive association between social media addiction and emotional loneliness (p=0.006, R-squared=0.01). Our study suggests social media addiction is strongly associated with psychological distress, sleep quality and loneliness.

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Section: Discussionsupporting

confidence: 89%

“…In addition, it has been known that social media can help people, with anxiety and shyness, to feel supported and understood by their peers (Marino et al, 2018). Indeed, it could also be argued that the increasein social media addiction can have detrimental effects on the general well-being of people (Luo et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

The effect of social media addiction on psychological distress, sleep quality and loneliness among health care professional in Saudi Arabia

Rajeh¹,

Aboalshamat²,

Mahmoud³

et al. 2022

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show abstract

“…In this study, the score of the three components of EE, CY, and PA were 10.73 ± 6.41, 6.74 ± 5.27, and 17.95 ± 7.83, respectively. According to previous studies, during the COVID-19 epidemic in China, vaccination staff had lower scores of EE and CY but higher scores of PA than other health professionals ( 19 , 48 , 65 , 66 ). The results were consistent with the distribution of high levels of EE, CY, and low levels of PA in vaccination staff and medical staff discussed above.…”

Section: Discussionmentioning

confidence: 91%

Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study

Liu²,

Lu³

et al. 2023

Front. Public Health

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ObjectiveDuring the COVID-19 epidemic, vaccination staff had three main aspects of work: routine vaccination for children and adults, COVID-19 vaccination and COVID-19 prevention and control. All these works significantly increased the workload of vaccination staff. This study aimed to investigate the prevalence and influencing factors of burnout among vaccination staff in Hangzhou, China.MethodsA total of 501 vaccination staff from 201 community/township healthcare centers in Hangzhou were recruited using a cross-sectional survey through WeChat social platform. The Maslach Burnout Inventory-General Scale (MBI-GS) was used to assess the level of burnout. Descriptive statistics were made on the characteristics of participants. Univariate analysis using the chi-square test and multivariable analysis using binary logistic regression were conducted to determine the relative predictors of burnout. Univariate analysis and multiple linear regression were used to determine the relative predictors of exhaustive emotion, cynicism, and personal accomplishment.ResultsDuring the COVID-19 pandemic, 20.8% of the vaccination staff experienced burnout. Educational level above undergraduate education level, medium professional title, and more working time in COVID-19 vaccination work reported a higher degree of job burnout. The vaccination staff was experiencing a high degree of exhaustive emotion, cynicism, and low personal accomplishment. Professional title, working place, and working time for COVID-19 vaccination were associated with exhaustive emotion and cynicism. Professional title and participation time for COVID-19 prevention and control were associated with personal accomplishment.ConclusionsOur findings suggest that the prevalence rate of burnout is high among vaccination staff during the COVID-19 pandemic, especially with a low level of personal accomplishment. Psychological intervention for vaccination staff is urgently needed.

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Relationship between burnout and turnover intention among nurses: a network analysis

Zheng,

Feng,

Feng

et al. 2024

BMC Nurs

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Background Nurse burnout and turnover intention significantly impact global healthcare systems, especially intensified by the COVID-19 pandemic. This study employs network analysis to explore these phenomena, providing insights into the interdependencies and potential intervention points within the constructs of burnout and turnover intention among nurses. Methods A cross-sectional study was conducted with 560 nurses from three tertiary hospitals in Hangzhou, China. Data were collected via online questionnaires, including the Maslach Burnout Inventory-General Survey (MBI-GS) and the Turnover Intention Questionnaire (TIQ). Network analysis was performed using Gaussian graphical models to construct the network model and calculate related metrics. Results The network analysis revealed that items related to personal accomplishment and emotional exhaustion were central, indicating significant roles in influencing nurses’ turnover intentions. Specifically, perceived meaningful work and self-efficacy emerged as pivotal nodes, suggesting that enhancing these can mitigate turnover intentions. The network’s stability and accuracy were confirmed through bootstrapping methods, emphasizing the robustness of the findings. Conclusion The study underscores the importance of addressing nurse burnout by focusing on core elements like personal accomplishment and self-efficacy to reduce turnover intentions. These insights facilitate targeted interventions that could improve nurse retention and stability within healthcare systems. Future research should expand to multi-center studies to enhance the generalizability of these findings. Supplementary Information The online version contains supplementary material available at 10.1186/s12912-024-02624-2.

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Status and Influencing Factors of Social Media Addiction in Chinese Medical Care Professionals: A Cross-Sectional Survey

Cited by 7 publications

References 108 publications

The effect of social media addiction on psychological distress, sleep quality and loneliness among health care professional in Saudi Arabia

The effect of social media addiction on psychological distress, sleep quality and loneliness among health care professional in Saudi Arabia

Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study

Relationship between burnout and turnover intention among nurses: a network analysis

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