Introduction: Psychological, physiological and social factors play an important role in the initiation, persistence, dependence and relapse of smoking behaviors, and coping style and smoking abstinence self-efficacy can all affect nicotine dependence. Methods: A cross-sectional sample of 568...

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...

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 low income, 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.

To evaluate the effect of the social support on adherence of highly active antiretroviral therapy (HAART) of people living with human immunodeficiency virus/acquired immune deficiency syndrome (PLWHA). Participants of PLWHA at Beijing, China were intervened by 1-year social support program intervention. Difference of social support scale and medication adherence scale before and after the intervention were evaluated. Our results showed that there were statistically significant difference for total score and subjective score, medication adherence between before and after intervention (t = −3.62, −2.81, 5.75, P < .05), and there were statistically significant correlation between the difference of total social support score and that of social support utilization score, and the difference of medication adherence score (r = 0.14, 0.12, all P < .05). Multifactor linear regression showed that the medication adherence score was influenced by the insurance status, the residential status, and the difference in the social support utilization score (β = −0.14, 0.17, 0.16, all P < .05). Social support and care-giving can exert some influence and facilitate PLWHAs adherence of HAART.

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.