Influencing factors and early predictive model of acute stress disorder in traumatic patients: A clinical comparative cohort study.

OBJECTIVE: To analyze the main influencing factors of ASD (Acute Stress Disorder) in inpatients, and provide some evidence for early clinical identification and intervention of ASD. METHODS: In this study, 489 inpatients were selected from 3 general hospitals in Zunyi City from September 2020 to August 2021. The patients were followed up with questionnaires. Mann Whitney U test, Logistic Regression analysis and Generalized Estimation Equation were used for difference comparison and influencing factor analyses. RESULTS: Multivariate logistic regression showed that trauma exposure, psychological burden, fear and pain degree were risk factors of ASD in all inpatients. The sensitivity and specificity of combined using of "trauma, psychological burden, fear and pain" in predicting ASD reached 89.40 % and 79.20 %, respectively; and the area under ROC could reach 0.897. CONCLUSION: Based on the different risk factors, an early effective model could be built for ASD prediction in both traumatic and nontraumatic patients.

Worldwide Perinatal Intimate Partner Violence Prevalence and Risk Factors for Post-traumatic Stress Disorder in Women: A Systematic Review and Meta-analysis.

Post-traumatic stress disorder (PTSD) in women who have experienced perinatal intimate partner violence (P-IPV) has gradually attracted the attention of psychologists, mental health, and health care professionals. However, a comprehensive understanding of its prevalence and associated risk factors is still lacking. The aim of this systematic review and meta-analysis was to determine the prevalence and explore influencing factors for PTSD in women who have suffered P-IPV. Our study inclusion criteria were: women who experienced IPV in the year before conception, throughout pregnancy, during delivery, and up to 1 year after giving birth for which a quantitative assessment of PTSD was done using validated diagnostic or screening tools. This study searched nine English databases and four Chinese databases. The final analysis included 16 studies, involving 9,098 female subjects. Meta-analysis was performed on the extracted data using the Stata 16.0 software (Stata Corp. LP, College Station, TX, USA).Fixed or random effect models were selected to pool odds ratio (OR) and 95% confidence interval (CI) of PTSD after heterogeneity test. Meta-analysis showed that the pooled prevalence of PTSD in women who suffered P-IPV was 30.0% (95% confidence interval [95% CI] = [22.0%, 37.0%]). Only nine studies described influencing factors for PTSD based on multivariate logistic regression analysis. The five identified influencing factors were: non-immigrants (OR = 2.56; 95% CI [1.29, 5.08]), non-cohabitation (OR = 2.45; [1.35, 4.42]), trauma history (OR = 1.80; [1.18, 2.76]), education below senior high school (OR = 1.32; [0.64, 2.75]), and age 18 to 29 years (OR = 1.06; [0.94, 1.19]). These findings provided a reference value of PTSD prevalence, risk factors, and potential association with P-IPV among women worldwide. However, the geographical coverage of the reviewed studies is limited and epidemiological investigations from more diverse areas are required in the future.

Disease Burden Evaluation of Injury and Poisoning in China from 2009 to 2019.

Background: We aimed to analyze the differences and changing trends of mortality of Injury and Poisoning (IP) between urban and rural areas and gender in China to find out the influencing factors and to propose improvement measures. Methods: IP mortality, population, economy, medical and health information data came from the official web-site of the National Bureau of Statistics, and basic data on education level came from the Chinese Ministry of Education. Then the differences of the mortality of IP were compared between different areas and gender in China from 2009 to 2019, and the relationships between the mortality changes of IP and education level, GDP per capita, the numbers of practicing physicians, health institutions and urbanization rate were also explored by establishing a ridge regression model. Results: The mortality of IP in rural areas was significantly higher than that of urban areas, and in male was higher than that of female (both P<0.001). Primary school graduates, GDP per capita, the number of practicing physicians, health institutions and urbanization rate had strong correlations (rmin=-0.622) with the mortality of IP. Ridge regression model showed that there was a quantitative relationship between primary school graduates, GDP per capita, the number of practising physicians, health institutions, urbanization rate and the mortality of IP in China. Conclusion: As the difference of working nature, economic development imbalance, psychological and gender, the mortality of IP was significantly different, so the state should take more effective measures to develop the urban and rural areas balanced, and reduce the IP risk in some particular occupations.

Characteristics, likelihood and challenges of road traffic injuries in China before COVID-19 and in the postpandemic era.

Through a review of previous studies, this paper analysed the epidemiological characteristics and attempts to determine the various trends of road traffic injuries (RTIs) in China before and after the coronavirus disease 2019 (COVID-19). This paper proposed effective measures and suggestions for responding to RTIs in China. Moreover, this paper aimed to provide some references for studies on RTIs in the future. According to a reference review, 50 articles related to RTIs were published and viewed in the China National Knowledge Infrastructure (CNKI), Wanfang database, Weipu (VIP) database and PubMed/MEDLINE database. Articles were selected according to the exclusion and inclusion criteria and then classified and summarized. Regarding cases, RTIs in China were highest in summer, autumn, and in rural areas and lowest in February. Men, elderly individuals and people living in rural areas were more susceptible to RTIs. In addition, thanks to effective and proactive policies and measures, the number of RTIs and casualties in China has substantially decreased, while there has been a growing number of traffic accidents along with the increase in nonmotor vehicles. However, it is worth noting that the number of RTIs obviously fell during the COVID-19 pandemic due to traffic lockdown orders and home quarantine policies. Nevertheless, accidents related to electric bicycles increased unsteadily because of the reduction in public transportation use at the same time. The factors that cause RTIs in China can be divided into four aspects: human behaviours, road conditions, vehicles and the environment. As a result, measures responding to RTIs should be accordingly proposed. Moreover, the road traffic safety situation in developing countries was more severe than that in developed countries. RTIs in China showed a downward trend attributed to road safety laws and various policies, and the downward trend was more significant during the COVID-19 pandemic owing to traffic lockdowns and home quarantine measures. It is urgent and necessary to promote road traffic safety, reduce injuries, and minimize the burden of injuries in developing countries.

Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis.

Background: PTSD (Post-traumatic stress disorder, PTSD) had a great impact on health care workers during the COVID-19 (Corona Virus Disease 2019, COVID-19). Better knowledge of the prevalence of PTSD and its risk factors is a major public health problem. This study was conducted to assess the prevalence and important risk factors of PTSD among medical staff during the COVID-19. Methods: The databases were searched for studies published during the COVID-19, and a PRISMA (preferred reporting items for systematic review and meta-analysis) compliant systematic review (PROSPERO-CRD 42021278970) was carried out to identify articles from multiple databases reporting the prevalence of PTSD outcomes among medical staff. Proportion random effect analysis, I 2 statistic, quality assessment, subgroup analysis, and sensitivity analysis were carried out. Results: A total of 28 cross-sectional studies and the PTSD results of doctors and nurses were summarized from 14 and 27 studies: the prevalences were 31% (95% CI [confidence interval, CI]: 21%-40%) and 38% (95% CI: 30%-45%) in doctors and nurses, respectively. The results also showed seven risks (p < 0.05): long working hours, isolation wards, COVID-19 symptoms, nurses, women, fear of infection, and pre-existing mental illness. Two factors were of borderline significance: higher professional titles and married. Conclusion: Health care workers have a higher prevalence of PTSD during COVID-19. Health departments should provide targeted preventive measures for medical staff away from PTSD.

Epidemiological Characteristics, Risk Factors, and Preventive Measures of Occupational Injuries Among Commercial Couriers in China Before and During the COVID-19 Pandemic.

In this study, we focus on the significant upward trend of occupational accidental traffic injuries in commercial couriers during the coronavirus disease (COVID-19) pandemic. This review comments on the characteristics of occupational accidental injuries of commercial couriers in China and then discusses the reasons of the high incidence rate and associated risk factors. Various potential protective measures were also explored to prevent and control the occupational injuries in this vulnerable worker group.