Utilizing Group Model Building to Identify Barriers and Facilitators of Hypertension Management in Primary Health Care, China.

Purpose: Group Model Building (GMB) is a qualitative method that refers to a participatory process. This project aims to identify barriers and facilitators of hypertension management in primary health care in China, through which, the leverage point for intervention may be found. Methods: The GMB was used to identify the factors influencing hypertension management. Graphs over time and causal loop diagram (CLD) were main tools of GMB. To propose the influencing factors, key stakeholders were invited to participate in a workshop. During the workshop, stakeholders were encouraged to plot the graphs over time of the variables about research issues and give a descriptive explanation. And based on this, a CLD was initially developed to establish a model of the interaction of factors. After the workshop, the research group further improved the CLD through repeated mutual discussions, and gave feedback to the participants. The Vensim PLE 9.0 software package was used to build CLD. Results: A total of 14 key stakeholders were invited to participate in the workshop. Finally, 26 influencing factors were identified, which were divided into three dimensions, including the institutional, the community health workers (CHWs), and the patient level. And 5 reinforcing loops and 4 balancing loops were formed in the CLD. Promoting the building of the Medical Community/Regional Medical Association, implementing the family doctor contract service (FDCS), and enhancing the motivation of CHWs may be potential leverage points for hypertension management in China. Conclusion: By using GMB, we have identified key factors in the management of hypertension in primary health care and provided comprehensive suggestions to overcome the obstacles.

Environment and social support for smoking cessation among community smokers in Beijing, China.

INTRODUCTION: This study investigated the relationship between environment support, social support and smoking cessation, to provide suggestions for the construction of environment and social support for tobacco control. METHODS: This was a secondary analysis based on two cross-sectional surveys of adult smokers who participated in the six-month community smoking cessation intervention projects in Beijing. The study subjects were divided into a successful group (n=159) and an unsuccessful group (n=253). The status of the environment support, community tobacco exposure, and social support were compared between groups. A structural equation model (SEM) was established for Confirmatory Factor Analysis. RESULTS: The univariate analysis showed that there were differences in smoking cessation outcomes among smokers with different home tobacco regulations, workplace tobacco regulations and number of smokers in the family. Differences in 6-month smoking reduction were also found with different promotion levels of anti-tobacco messaging and the frequency of smoking events at home. The logistic regression analysis indicated that home tobacco regulations (OR=1.30; 95% CI: 1.00-1.69), workplace tobacco regulations (OR=1.27; 95% CI: 1.05- 1.54), and frequency of smoking events at home (OR=1.15; 95% CI: 1.02-1.29), were associated with smoking cessation. The results of the SEM showed that environment support (ß=0.39; 95% CI: 0.05-0.73, p=0.026) and social support (ß=0.37; 95% CI: 0.05-0.68, p=0.022) had influence on smoking cessation. CONCLUSIONS: Environment support and social support are related to smoking cessation. Attention should be paid to the smoking regulations at home and workplace, anti-tobacco messaging, and social support by the family. TRIAL REGISTRATION: The study was registered on the official website of the China Clinical Trial Registration Center. Identifier: ChiCTR1900024991.

The impact of COVID-19 prevention and control policy adjustment on anxiety, depression and coping behavior in China: a cross-sectional online survey, 21-28 December, 2022.

BACKGROUND: Following external situation reports, individuals perceive risks, experience different emotional reactions, and further change their behaviors. Therefor people's psychology will also be affected by adjustment of COVID-19 epidemic prevention and control policy, but it remains unknown what kind of coping behaviors will be produced due to psychology. This study defines coping behavior as "medical behavior and irrational consumption behavior after the adjustment of COVID-19 epidemic prevention and control policy in China", assesses the prevalence of negative emotions in the Chinese population after policy adjustments, and explores how negative emotions affect people's coping behaviors, conducts baseline research, provides references and suggestions for policy formulation. METHODS: A cross-sectional online survey was conducted during 21-28 December 2022, included sociodemographic characteristics, COVID-19 infection and irrational purchase behavior, psychological assessment, and opinion polling. Depression and anxiety status are assessed by PHQ-9 and GAD-7. The relationship between anxiety, depression and coping behavior was analyzed by Pearson χ2 test, Fisher's exact test and logistic regression. RESULTS: A total of 3995 infected participants were included in this study, of which 2363(59.1%) and 1194(29.9%) had depression and anxiety. There was a significant difference in clinical treatment and irrational purchase behavior between different level of depression and anxiety. Depression was a risk factor for self- medication (OR = 1.254), seeking professional treatment (OR = 1.215), using online services of medical institutions (OR = 1.320), large-scale purchases of medicines (OR = 1.154) and masks (OR = 1.096). Anxiety was a risk factor for seeking professional treatment (OR = 1.285) and large-scale purchases of masks (OR = 1.168). CONCLUSION: After the adjustment of COVID-19 epidemic prevention and control policy, patient risk perception can increase depression and anxiety. We found that associated with depression, COVID-19 patients are more likely to have medical behaviors such as self- medication, seeking professional treatment, using online services of medical institutions, and storage behaviors of medicines and masks; and anxiety associated with the coping behavior of patients to seek professional treatment and store masks in large quantities. We should improve people's mental health, and on the other hand, we should give people effective psychological education during the epidemic. Therefore, we should set up psychological outpatient clinics in community health institutions, expanding mental health screening and guidance; relying on the psychological outpatient clinic, establish groups of people with depression or anxiety to carry out COVID-19 health education and peer education, to reduce adverse drug reactions, avoid panic seeking professional treatment and irrational purchase behavior, and protect public mental health. TRIAL REGISTRATION: This study has been approved by the Medical Ethics Committee of Capital Medical University (2023SY086), and informed consent was obtained from the study subjects before the investigation.

Mechanism of community quitters' psychological traits on their smoking cessation effects: Based on a study of community intervention.

INTRODUCTION: We study the relationship between psychological traits of smokers and their smoking cessation effects, and provide more scientific evidence for smoking cessation intervention. METHODS: The study was conducted as a nested case-control study. Smokers who participated in the community smoking cessation intervention projects in Beijing in 2018-2020, were selected as the research participants and divided into two groups: a successful smoking cessation and unsuccessful smoking cessation group, according to their smoking cessation effects at 6 months. Psychological traits of quitters including smoking abstinence self-efficacy, willingness to quit smoking, and trait coping style, were compared between the two groups, and a structural equation model was established for confirmatory factor analysis to analyze their mechanisms. RESULTS: There were differences in smoking cessation results between the successful smoking cessation group and the unsuccessful smoking cessation group in terms of smoking abstinence self-efficacy and willingness to quit smoking. Willingness to quit smoking (OR=1.06; 95% CI: 1.008-1.118) is a risk factor, while smoking abstinence self-efficacy in habit/addiction situations (OR=0.77; 95% CI: 0.657-0.912) is a protective factor. The results of the structural equation model showed that smoking abstinence self-efficacy (ß=0.199, p=0.002) and trait coping style (ß= -0.166, p=0.042) could influence smoking cessation effects. The structural equation model was well fitted, which showed that smoking abstinence self-efficacy (ß=0.199, p=0.002) and trait coping style (ß= -0.166, p=0.042) might have influenced the effect of smoking cessation among smokers. CONCLUSIONS: Willingness to quit smoking has a positive impact on the smoking cessation effect, while smoking abstinence self-efficacy in habit/addiction situations and negative trait coping style have a negative impact. Smoking abstinence self-efficacy and trait coping styles can significantly affect smoking cessation outcomes.

Cross-Sectional Online Survey on Depression and Anxiety Among the Population Infected or Non-Infected with COVID-19 - China, December 2022.

What is already known about this topic?: The psychological impact of the large-scale infection of the population resulting from the end of lockdown measures in China during the coronavirus disease 2019 (COVID-19) pandemic is unknown. What is added by this report?: Among all participants, 55.7% had depression symptoms, with a significant difference between the infected and non-infected groups, and 30.1% had anxiety. Those who were young, unvaccinated, had lower incomes, and experienced chronic diseases were more likely to experience negative emotions. What are the implications for public health practice?: Government officials should take into account the effect of policies on public sentiment during similar public health events and implement tailored community interventions to address any negative sentiment.

An intervention study on a hospital-community integrated management model of tobacco dependence based on a community intervention trial.

Objective: To assess the effect of the hospital-community integrated management model of tobacco dependence on smoking cessation among community residents compared with a brief smoking cessation intervention. Methods: Our study recruited 651 smokers who were willing to quit in 19 communities in Beijing and conducted a 6-month smoking cessation intervention. The control group receiving a brief smoking cessation intervention and the pilot group receiving an integrated smoking cessation intervention. Intention-to-treat analysis (ITT) and generalized estimating equations were used to assess the effects of the integrated intervention and smoking cessation medication on average number of cigarettes smoked per day (ACSD) and smoking cessation rate. Results: Simple effects analysis showed that smokers taking medication had significantly lower ACSD than those not taking medication at follow-up, the control group reduced smoking by 3.270, 4.830, and 4.760 cigarettes in the first, third and sixth months, respectively, while the pilot group reduced by 6.230, 5.820, and 4.100 cigarettes. The integrated intervention significantly reduced ACSD among medication-taking smokers at 1st month (reduced by 3.420, P < 0.05) and 3rd month (reduced by 2.050, P < 0.05), but had no significant effect among non-medication taking smokers. The 3rd month smoking cessation rate among medication-taking smokers was 27.0%, which was significantly higher than the smokers with brief smoking cessation intervention. Conclusion: The integrated hospital-community intervention can significantly promote smoking cessation among smokers taking medication, but the issue of payment for medication and additional labor compensation for medical staff should be addressed before its popularization.

A Cost-Effectiveness Analysis of Comprehensive Smoking-Cessation Interventions Based on the Community and Hospital Collaboration.

Background: The prevalence of cigarette smoking in China is high and the utilization of smoking cessation clinics is very low. Multicomponent smoking cessation interventions involving community and hospital collaboration have the potential to increase the smoking cessation rate. However, the cost-effectiveness of this intervention model is unknown. Methods: We conducted a smoking cessation intervention trial in 19 community health service centers in Beijing, China. A cost-effectiveness analysis was performed from a societal perspective to compare three strategies of smoking cessation: no intervention (NI), pharmacological intervention (PI), and comprehensive intervention (CI) (PI plus online health promotion). A Markov model, with a time horizon of 20 years, was used to simulate the natural progression of estimated 10,000 male smokers. A cross-sectional survey was conducted to obtain data on costs and quality-adjusted life years (QALYs) by using the five-level EuroQol-5-dimension (EQ-5D-5L) questionnaire. Probabilistic sensitivity analysis was performed to explore parameters of uncertainty in the model. Results: A total of 680 participants were included in this study, including 283 in the PI group and 397 in the CI group. After 6 months of follow-up, the smoking cessation rate reached 30.0% in the CI group and 21.2% in the PI group. Using the Markov model, compared with the NI group, the intervention strategies of the PI group and the CI group were found to be cost-effective, with an incremental cost-effectiveness ratio (ICER) of $535.62/QALY and $366.19/QALY, respectively. The probabilistic sensitivity analysis indicated that the CI strategy was always the most cost-effective intervention. Conclusion: CI for smoking cessation, based in hospital and community in China, is more cost-effective than PI alone. Therefore, this smoking cessation model should be considered to be implemented in healthcare settings.

Targeted Gene Insertion and Replacement in the Basidiomycete Ganoderma lucidum by Inactivation of Nonhomologous End Joining Using CRISPR/Cas9.

Targeted gene insertion or replacement is a promising genome-editing tool for molecular breeding and gene engineering. Although CRISPR/Cas9 works well for gene disruption and deletion in Ganoderma lucidum, targeted gene insertion and replacement remain a serious challenge due to the low efficiency of homologous recombination (HR) in this species. In this work, we demonstrate that the DNA double-strand breaks induced by Cas9 were mainly repaired via the nonhomologous end joining (NHEJ) pathway, at a frequency of 96.7%. To establish an efficient target gene insertion and replacement tool in Ganoderma, we first inactivated the NHEJ pathway via disruption of the Ku70 gene (ku70) using a dual single guide RNA (sgRNA)-directed gene deletion method. Disruption of the ku70 gene significantly decreased NHEJ activity in G. lucidum. Moreover, ku70 disruption strains exhibited 96.3% and 93.1% frequencies of targeted gene insertion and replacement, respectively, when target DNA with the orotidine 5'-monophosphate decarboxylase (ura3) gene and 1.5-kb homologous 5'- and 3'-flanking sequences was used as a donor template, compared to 3.3% and 0%, respectively, at these targeted sites for a control strain (Cas9 strain). Our results indicated that ku70 disruption strains were efficient recipients for targeted gene insertion and replacement. This tool will advance our understanding of functional genomics in G. lucidum. IMPORTANCE Functional genomic studies in Ganoderma have been hindered by the absence of adequate genome-engineering tools. Although CRISPR/Cas9 works well for gene disruption and deletion in G. lucidum, targeted gene insertion and replacement have remained a serious challenge due to the low efficiency of HR in these species, although such precise genome modifications, including site mutations, site-specific integrations, and allele or promoter replacements, would be incredibly valuable. In this work, we inactivated the NHEJ repair mechanism in G. lucidum by disrupting the ku70 gene using the CRISPR/Cas9 system. Moreover, we established a target gene insertion and replacement method in ku70-disrupted G. lucidum that possessed high-efficiency gene targeting. This technology will advance our understanding of the functional genomics of G. lucidum.

Association Between Serum Vitamin A Levels and Recurrent Respiratory Tract Infections in Children.

To evaluate the association between serum vitamin A levels and the prevalence of recurrent respiratory tract infections (RRTIs) in children and adolescents and to provide evidence that would help decrease the prevalence of respiratory tract infections (RTIs) in children. This cross-sectional study included 8034 children and adolescents in Beijing aged 6 months to 17 years. RRTI and RTI symptoms were diagnosed according to the Clinical Concept and Management of Recurrent Respiratory Tract Infections in Children. Multivariate logistic regression models were used to evaluate the association between serum vitamin A levels and RRTIs after adjusting for potential confounders. Among the included children, 721 (8.97%) were diagnosed with vitamin A deficiency, whereas 3,073 (38.25%) were diagnosed with subclinical vitamin A deficiency. Only 28.8% (208/721) of children with vitamin A deficiency and 53.1% (1,631/3,073) of children with subclinical vitamin A deficiency had no RRTI and RTI symptoms, respectively. Compared with children with normal vitamin A levels, those with vitamin A deficiency and subclinical vitamin A deficiency had a greater risk for RRTIs, with an odds ratio (OR) of 6.924 [95% confidence interval (CI): 5.433-8.824] and 2.140 (95% CI: 1.825-2.510), respectively]. Vitamin A levels were also positively associated with RTI symptoms, with those having vitamin A deficiency and subclinical vitamin A deficiency showing an OR of 1.126 (95% CI: 0.773-1.640) and 1.216 (95% CI: 1.036-1.427), respectively. The present cross-sectional study found that low serum vitamin A levels were significantly associated with RRTI or RTI prevalence in children and adolescents.