Willingness to Use Mobile Health Devices in the Post-COVID-19 Era: Nationwide Cross-sectional Study in China.

BACKGROUND: Despite the increased development and use of mobile health (mHealth) devices during the COVID-19 pandemic, there is little knowledge of willingness of the Chinese people to use mHealth devices and the key factors associated with their use in the post-COVID-19 era. Therefore, a more comprehensive and multiangle investigation is required. OBJECTIVE: We aimed to probe Chinese attitudes regarding the use of mHealth and analyze possible associations between the attitude of willingness to use mHealth devices and some factors based on the socioecological model. METHODS: A survey was conducted using quota sampling to recruit participants from 148 cities in China between June 20 and August 31, 2022. Data from the survey were analyzed using multiple stepwise regression to examine the factors associated with willingness to use mHealth devices. Standardized regression coefficients (ß) and 95% CIs were calculated using multiple stepwise regression. RESULTS: The survey contained a collection of 21,916 questionnaires and 21,897 were valid questionnaires, with a 99.91% effective response rate. The median score of willingness to use mHealth in the post-COVID-19 era was 70 points on a scale from 0 to 100. Multiple stepwise regression results showed that the female gender (ß=.03, 95% CI 1.04-2.35), openness personality trait (ß=.05, 95% CI 0.53-0.96), higher household per capita monthly income (ß=.03, 95% CI 0.77-2.24), and commercial and multiple insurance (ß=.04, 95% CI 1.77-3.47) were factors associated with the willingness to use mHealth devices. In addition, people with high scores of health literacy (ß=.13, 95% CI 0.53-0.68), self-reported health rating (ß=.22, 95% CI 0.24-0.27), social support (ß=.08, 95% CI 0.40-0.61), family health (ß=.03, 95% CI 0.03-0.16), neighbor relations (ß=.12, 95% CI 2.09-2.63), and family social status (ß=.07, 95% CI 1.19-1.69) were more likely to use mHealth devices. CONCLUSIONS: On the basis of the theoretical framework of socioecological model, this study identified factors specifically associated with willingness of the Chinese people to use mHealth devices in the post-COVID-19 era. These findings provide reference information for the research, development, promotion, and application of future mHealth devices.

How Work Stress Impacts Emotional Outcomes of Chinese College Teachers: The Moderated Mediating Effect of Stress Mindset and Resilience.

Based on the job demands-resources model and conservation of resource theory, this study investigated 456 Chinese college teachers' work stress, stress mindset, resilience, emotional exhaustion, positive affect, and negative affect. The results of mediation analysis showed that resilience played a partial mediation role between work stress and emotional outcomes (emotional exhaustion, positive affect, and negative affect). Moreover, the results of a moderated mediation analysis showed that stress mindset moderated the relationship between work stress and resilience, and moderated the mediating effect of resilience between work stress and emotional outcomes (emotional exhaustion, positive affect, and negative affect). Specifically, work stress had a significant negative predictive effect on resilience when stress mindset is low (ß = -0.54, p < 0.001); work stress could also negatively predict resilience when the stress mindset is high (ß = -0.47, p < 0.001), but its effect decreased, and stress mindset negatively moderated the path between work stress and resilience. Finally, we discussed theoretical implications, practical implications, limitations, and future directions.

Factors influencing parents' willingness to vaccinate their preschool children against COVID-19: Results from the mixed-method study in China.

During the COVID-19 pandemic, little is known about parental hesitancy to receive the COVID-19 vaccine for preschool children who are the potential vaccinated population in the future. The purpose of this mixed-method study was to explore the factors influencing Chinese parents' decision to vaccinate their children aged 3-6 years old against COVID-19. In July 2021, we conducted semi-structured interviews (n = 19) and a cross-sectional survey (n = 2605) with parents of kindergarten children in an urban-rural combination pilot area in China. According to the qualitative study, most parents were hesitant to vaccinate their children with the COVID-19 vaccine. In the quantitative study, we found that three-fifths of 2605 participants were unwilling to vaccinate their children against COVID-19. Furthermore, the main predictors of parents' intention to vaccinate their children were fathers, lower level of education, and positive attitudes toward vaccination. Based on our findings, targeted health education techniques may be able to boost childhood COVID-19 immunization rates.

Dose Optimization of Anxiolytic Compounds Group in Valeriana jatamansi Jones and Mechanism Exploration by Integrating Network Pharmacology and Metabolomics Analysis.

Anxiety disorder impacts the quality of life of the patients. The 95% ethanol extract of rhizomes and roots of Valeriana jatamansi Jones (Zhi zhu xiang, ZZX) has previously been shown to be effective for the treatment of anxiety disorder. In this study, the dose ratio of each component of the anxiolytic compounds group (ACG) in a 95% ethanol extract of ZZX was optimized by a uniform design experiment and mathematical modeling. The anxiolytic effect of ACG was verified by behavioral experiments and biochemical index measurement. Network pharmacology was used to determine potential action targets, as well as predict biological processes and signaling pathways, which were then verified by molecular docking analysis. Metabolomics was then used to screen and analyze metabolites in the rat hippocampus before and after the administration of ZZX-ACG. Finally, the results of metabolomics and network pharmacology were integrated to clarify the anti-anxiety mechanism of the ACG. The optimal dose ratio of ACG in 95% ethanol extract of ZZX was obtained, and our results suggest that ACG may regulate ALB, AKT1, PTGS2, CYP3A4, ESR1, CASP3, CYP2B6, EGFR, SRC, MMP9, IGF1, and MAPK8, as well as the prolactin signaling pathway, estrogen signaling pathway, and arachidonic acid metabolism pathway, thus affecting the brain neurotransmitters and HPA axis hormone levels to play an anxiolytic role, directly or indirectly.

A network meta-analysis of secondary attack rates of COVID-19 in different contact environments.

As the corona virus disease 2019 (COVID-19) pandemic continues around the world, understanding the transmission characteristics of COVID-19 is vital for prevention and control. We conducted the first study aiming to estimate and compare the relative risk of secondary attack rates (SARs) of COVID-19 in different contact environments. Until 26 July 2021, epidemiological studies and cluster epidemic reports of COVID-19 were retrieved from SCI, Embase, PubMed, CNKI, Wanfang and CBM in English and Chinese, respectively. Relative risks (RRs) were estimated in pairwise comparisons of SARs between different contact environments using the frequentist NMA framework, and the ranking of risks in these environments was calculated using the surface under the cumulative ranking curve (SUCRA). Subgroup analysis was performed by regions. Thirty-two studies with 68 260 participants were identified. Compared with meal or gathering, transportation (RR 10.55, 95% confidence interval (CI) 1.43-77.85), medical care (RR 11.68, 95% CI 1.58-86.61) and work or study places (RR 10.15, 95% CI 1.40-73.38) had lower risk ratios for SARs. Overall, the SUCRA rankings from the highest to the lowest were household (95.3%), meal or gathering (81.4%), public places (58.9%), daily conversation (50.1%), transportation (30.8%), medical care (18.2%) and work or study places (15.3%). Household SARs were significantly higher than other environments in the subgroup of mainland China and sensitive analysis without small sample studies (<100). In light of the risks, stratified personal protection and public health measures need to be in place accordingly, so as close contacts categorising and management.

Chemical profiling of Huashi Baidu prescription, an effective anti-COVID-19 TCM formula, by UPLC-Q-TOF/MS.

Huashi Baidu prescription (HSBDF), recommended in the Guideline for the Diagnosis and Treatment of Novel Coronavirus (2019-nCoV) Pneumonia (On Trials, the Seventh Edition), was clinically used to treat severe corona virus disease 2019 (COVID-19) with cough, blood-stained sputum, inhibited defecation, red tongue etc. symptoms. This study was aimed to elucidate and profile the knowledge on its chemical constituents and the potential anti-inflammatory effect in vitro. In the study, the chemical constituents in extract of HSBDF were characterized by UPLC-Q-TOF/MS in both negative and positive modes, and the pro-inflammatory cytokines were measured by enzyme-linked immunosorbent assays (ELISA) to determine the effects of HSBDF in lipopolysaccharide (LPS)-stimulated RAW264.7 cells. The results showed that a total of 217 chemical constituents were tentativedly characterized in HSBDF. Moreover, HSBDF could alleviate the expression levels of IL-6 and TNF-α in the cell models, indicating that the antiviral effects of HSBDF might be associated with regulation of the inflammatory cytokines production in RAW264.7 cells. We hope that the results could be served as the basic data for further study of HSBDF on anti-COVID-19 effect.