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Objective To understand the status of COVID-19 vaccination among elderly adults in long-term care facilities and analyze the influencing factors so as to provide scientific basis for improving the policy of COVID-19 vaccination. Methods The socio-demographic characteristics, disease-related data, disability, and COVID-19 vaccination status of 575 elderly adults who resided in long-term care facilities in Shaanxi Province were collected via Sojumpin in January 2022. Factors that affected non-vaccinated elderly adults were analyzed by using the SPSS 25.0 software. Results Of the included 575 participants, 199 (34.6%) were not vaccinated against COVID-19. Univariate analysis showed that COVID-19 vaccination was associated with age, room type, length of stay, marital status, number of children, chronic diseases (i.e., diabetes, stroke, dementia), disability degree, and long-term medication use. Logistic regression analysis demonstrated that age of 90 years or above (OR=4.25), triple room (OR=6.17), moderate disability (OR=2.94), severe disability (OR=6.67), long-term medication use (OR=1.81), and stroke (OR=1.74) were independent risk factors for not injecting COVID-19 vaccine. Conclusion The COVID-19 vaccination coverage rate of elderly adults in long-term care facilities needs to be improved, and more attention should be paid to the high-risk groups (e.g., who are older, and have disability, long-term medication use, or stroke). [ABSTRACT FROM AUTHOR]

Objective To explore the influencing factors of adolescent runaway and its correlation with family health so as to provide epidemiological evidence for future comprehensive interventions. Methods Using the quota sampling method, 1 065 adolescents aged 12-18 years old were surveyed by Questionnaire Star in 120 cities in China from July to September 2021. A well-developed electronic questionnaire was used to collect information about demographic characteristics, psychological characteristics, family health, social support, and behavior of running away from home. Univariate analysis and Logistic regression were used to explore the influencing factors of adolescent runaway and its correlation with family health. Results A total of 1 065 adolescents were investigated, among whom 334 were the only children (31.36%). and 442 were boys (41.50%). Univariate analysis revealed that 7.6% of teenagers had the experience of running away from home in the last 30 days. Participants who were ethnic minorities (P=0.031). and had education of technical school or junior college (P=0.029). and a low family income (P＜0.001). were more likely to have running away behavior. Adolescents with low self-efficacy (P=0.005), depression (P＜0.001), anxiety (P＜0.001), and more stress had higher detection rates of runaway behavior. However, adolescents with higher family health and social support were less likely to run away from home (P＜0.01). Multivariate analysis showed that compared with adolescents with low family health, adolescents with high (OR=0.16, 95% CI: 0.06-0.46). and moderate (OR =0.27, 95% CI: 0.14-0.55). family health had a significantly lower risk of runaway behavior. Conclusion The family is of great significance in preventing teenagers from running away from home. Parents should build a good parent-child relationship and create a happy family atmosphere to reduce the occurrence of teenagers running away from home. [ABSTRACT FROM AUTHOR]

The Boussinesq system, as a model to describe many geophysical phenomena, is a zero-order approximation of the coupling between the Navier-Stokes equations and the thermodynamic equations. The multi-dimensional viscous Boussinesq equations were considered. By means of the implicit function theorem, the global well-posedness of the mild solutions was obtained with the small initial data in the scaling invariant spaces. [ABSTRACT FROM AUTHOR]

Objective To explore the effects of perceived risk of COVID-19 of college students on their anxiety and depression, as well as the roles of attention to negative information and perceived social support, so as to provide theoretical basis for colleges and universities to formulate corresponding intervention measures. Methods By the convenience sampling method, totally 1 404 college students from Shaanxi and Henan provinces were investigated online by using General Information Questionnaire, Perceived Risk of COVID-19 Pandemic Scale, Attention to Negative Information Scale, Patient Health Questionnaire, Generalized Anxiety Disorder and Perceived Social Support Scale. SPSS 20.0 was used for data analysis, Pearson correlation method was used to explore the correlation between variables. The mediating effect of attention to negative information and the moderating effect of perceived social support were analyzed by PROCESS. Results The scores of anxiety and depression of the 1 404 college students included in the study were 4.03±4.48 and 6.21±5.41, respectively. The detection rate of anxiety symptom was 29.9%, and that of depression symptom was 44.4%. The risk perception of COVID-19 epidemic of the college students was positively correlated with attention to negative information (r=0.373, P＜0.001), anxiety (r=0.227, P＜0.001), and depression (r=0.226, P＜0.001). Anxiety (r=0.553, P＜0.001), and depression (r=0.497, P＜0.001), were positively correlated with attention to negative information, while perceived social support was negatively correlated with the risk perception of the COVID-19 (r=-0.154, P＜0.001), attention to negative information (r=-0.259, P＜0.001), anxiety (r=-0.321, P＜0.001), and depression (r=-0.278, P＜0.001). The risk perception of COVID-19 affected the anxiety and depression of the students mainly through the mediating effect of attention to negative information. The total effect of risk perception of COVID-19 and anxiety was 0.227, and the mediating effect accounted for 80.18% of the total effect. The total effect of risk perception of COVID-19 and depression was 0.228, and the mediating effect accounted for 90.35% of the total effect. Perceived social support played a moderating role in the last half of this mediating model. Conclusion Risk perception of COVID-19 indirectly affects the occurrence of anxiety and depression in college students through attention to negative information, and perceived social support plays a moderating role in this mediating model. The findings suggest that when a risk event occurs, colleges and universities should pay attention to guiding students to adjust their attentional bias to external information, and give students enough care and support to improve their mental health. [ABSTRACT FROM AUTHOR]