Bihan Tang

A meta-analysis of risk factors for combat-related PTSD among military personnel and veterans.

Post-traumatic stress disorder (PTSD), a complex and chronic disorder caused by exposure to a traumatic event, is a common psychological result of current military operations. It causes substantial distress and interferes with personal and social functioning. Consequently, identifying the risk factors that make military personnel and veterans more likely to experience PTSD is of academic, clinical, and social importance. Four electronic databases (PubMed, Embase, Web of Science, and PsycINFO) were used to search for observational studies (cross-sectional, retrospective, and cohort studies) about PTSD after deployment to combat areas. The literature search, study selection, and data extraction were conducted by two of the authors independently. Thirty-two articles were included in this study. Summary estimates were obtained using random-effects models. Subgroup analyses, sensitivity analyses, and publication bias tests were performed. The prevalence of combat-related PTSD ranged from 1.09% to 34.84%. A total of 18 significant predictors of PTSD among military personnel and veterans were found. Risk factors stemming from before the trauma include female gender, ethnic minority status, low education, non-officer ranks, army service, combat specialization, high numbers of deployments, longer cumulative length of deployments, more adverse life events, prior trauma exposure, and prior psychological problems. Various aspects of the trauma period also constituted risk factors. These include increased combat exposure, discharging a weapon, witnessing someone being wounded or killed, severe trauma, and deployment-related stressors. Lastly, lack of post-deployment support during the post-trauma period also increased the risk of PTSD. The current analysis provides evidence of risk factors for combat-related PTSD in military personnel and veterans. More research is needed to determine how these variables interact and how to best protect against susceptibility to PTSD.

A meta-analysis of risk factors for depression in adults and children after natural disasters

BackgroundA number of studies have shown a range of negative psychological symptoms (e.g. depression) after exposure to natural disasters. The aim of this study was to determine risk factors for depression in both children and adults who have survived natural disasters.MethodsFour electronic databases (PubMed, Embase, Web of Science, and PsychInfo) were used to search for observational studies (case–control, cross-sectional, and cohort studies) about depression following natural disasters. The literature search, study selection, and data extraction were conducted independently by two authors. Thirty-one articles were included in the study, of which twenty included adult participants and eleven included child participants. Summary estimates were obtained using random-effects models. Subgroup analysis, sensitivity analysis, and publication bias tests were performed on the data.ResultsThe prevalence of depression after natural disasters ranged from 5.8% to 54.0% in adults and from 7.5% to 44.8% in children. We found a number of risk factors for depression after exposure to natural disasters. For adults, the significant predictors were being female ;not married;holding religious beliefs; having poor education; prior trauma; experiencing fear, injury, or bereavement during the disaster; or losing employment or property, suffering house damage as a result of the disaster. For children, the significant predictors were prior trauma; being trapped during the disaster; experiencing injury, fear, or bereavement during the disaster; witnessing injury/death during the disaster; or having poor social support.ConclusionsThe current analysis provides evidence of risk factors for depression in survivors of natural disasters. Further research is necessary to design interventions to improve the mental health of survivors of natural disasters.

Post-traumatic psychological changes among survivors of the Lushan earthquake living in the most affected areas

The primary objective of our study was to investigate both the negative and positive psychological changes following the Lushan earthquake, and to explore the factors associated with psychological changes. Multi-stage random sampling was used to select respondents from Lushan County, Sichuan Province, China. A simplified Chinese version of the short form of Changes in Outlook Questionnaire (CiOQ-S) was used to assess psychological changes in earthquake survivors. Descriptive statistics, t-tests, ANOVA and stepwise linear regression analysis were used for data analysis. A total of 4972 respondents were investigated in the cross-sectional study. The mean scores of the positive and negative psychological changes were 26.61 and 8.12, respectively. The factors associated with positive psychological changes included ethnic minority, high level of education, high household income, not injured in the earthquake, not trapped during the earthquake, and having experienced the Wenchuan earthquake. The factors associated with negative psychological changes included female gender, ethnic minority, low household income, history of diseases, injured during the earthquake, and trapped during the earthquake. The current analysis helps expand our knowledge of the negative and positive psychological changes that may occur following an earthquake experience.

Medical Efforts and Injury Patterns of Military Hospital Patients Following the 2013 Lushan Earthquake in China: A Retrospective Study

The aim of this paper is to investigate medical efforts and injury profiles of victims of the Lushan earthquake admitted to three military hospitals. This study retrospectively investigated the clinical records of 266 admitted patients evacuated from the Lushan earthquake area. The 2005 version of the Abbreviated Injury Scale (AIS-2005) was used to identify the severity of each injury. Patient demographic data, complaints, diagnoses, injury types, prognosis, means of transportation, and cause of injury were all reviewed individually. The statistical analysis of the study was conducted primarily using descriptive statistics. Of the 266 patients, 213 (80.1%) were admitted in the first two days. A total of 521 injury diagnoses were recorded in 266 patients. Earthquake-related injuries were primarily caused by buildings collapsing (38.4%) and victims being struck by objects (33.8%); the most frequently injured anatomic sites were the lower extremities and pelvis (34.2%) and surface area of the body (17.9%). Fracture (41.5%) was the most frequent injury, followed by soft tissue injury (27.5%), but crush syndrome was relatively low (1.2%) due to the special housing structures in the Lushan area. The most commonly used procedure was suture and dressings (33.7%), followed by open reduction and internal fixation (21.9%).The results of this study help formulate recommendations to improve future disaster relief and emergency planning in remote, isolated, and rural regions of developing countries.

A Meta-Analysis of Risk Factors for Post-Traumatic Stress Disorder (PTSD) in Adults and Children after Earthquakes

PTSD is considered the most common negative psychological reactions among survivors following an earthquake. The present study sought to find out the determinants of PTSD in earthquake survivors using a systematic meta-analysis. Four electronic databases (PubMed, Embase, Web of Science, and PsycInfo) were used to search for observational studies about PTSD following earthquakes. The literature search, study selection, and data extraction were conducted independently by two authors. 52 articles were included in the study. Summary estimates, subgroup analysis, and publication bias tests were performed on the data. The prevalence of PTSD after earthquakes ranged from 4.10% to 67.07% in adults and from 2.50% to 60.00% in children. For adults, the significant predictors were being female, low education level or socio-economic status, prior trauma; being trapped, experiencing fear, injury, or bereavement during the disaster. For children, the significant predictors were being older age, high education level; being trapped, experiencing fear, injury, or bereavement, witnessing injury/death during the earthquakes. Our study provides implications for the understanding of risk factors for PTSD among earthquake survivors. Post-disaster mental health recovery programs that include early identification, on-going monitoring, and sustained psychosocial support are needed for earthquake survivors.

Comparison of the Ability to Predict Mortality between the Injury Severity Score and the New Injury Severity Score: A Meta-Analysis

Background: Description of the anatomical severity of injuries in trauma patients is important. While the Injury Severity Score has been regarded as the “gold standard” since its creation, several studies have indicated that the New Injury Severity Score is better. Therefore, we aimed to systematically evaluate and compare the accuracy of the Injury Severity Score and the New Injury Severity Score in predicting mortality. Methods: Two researchers independently searched the PubMed, Embase, and Web of Science databases and included studies from which the exact number of true-positive, false-positive, false-negative, and true-negative results could be extracted. Quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies checklist criteria. The meta-analysis was performed using Meta-DiSc. Meta-regression, subgroup analyses, and sensitivity analyses were conducted to determine the source(s) of heterogeneity and factor(s) affecting the accuracy of the New Injury Severity Score and the Injury Severity Score in predicting mortality. Results: The heterogeneity of the 11 relevant studies (total n = 11,866) was high (I2 > 80%). The meta-analysis using a random-effects model resulted in sensitivity of 0.64, specificity of 0.93, positive likelihood ratio of 5.11, negative likelihood ratio of 0.27, diagnostic odds ratio of 27.75, and area under the summary receiver operator characteristic curve of 0.9009 for the Injury Severity Score; and sensitivity of 0.71, specificity of 0.87, positive likelihood ratio of 5.22, negative likelihood ratio of 0.20, diagnostic odds ratio of 24.74, and area under the summary receiver operating characteristic curve of 0.9095 for the New Injury Severity Score. Conclusion: The New Injury Severity Score and the Injury Severity Score have similar abilities in predicting mortality. Further research is required to determine the appropriate use of the Injury Severity Score or the New Injury Severity Score based on specific patient condition and trauma type.

Health Status and Risk Factors among Adolescent Survivors One Month after the 2014 Ludian Earthquake.

Background: An earthquake struck Ludian in Yunnan Province (China) on 3 August 2014, resulting in 3143 injuries, 617 deaths, and 112 missing persons. Our study aimed at estimating the health status and associated determinants among adolescent survivors after the Ludian earthquake. Methods: A cross-sectional survey of 845 was conducted at the Ludian No. 1 Middle School. Descriptive statistics, t-tests, ANOVA and stepwise linear regression analysis were used for data analysis. Results: The mean scores on the physical component summary (PCS) and mental component summary (MCS) were 46.23 (SD = 7.10) and 36.34 (SD = 7.09), respectively. Lower PCS scores in the aftermath of an earthquake were associated with being trapped or in danger, being female, being an ethnic minority, injury to self and house damage, while lower MSC scores were associated with fear during the earthquake, Han ethnicity, death in the family, not being involved in the rescue and low household income. Conclusions: In our study, significant associations between demographic, socio-economic, and trauma-related experiences variables and overall physical and mental health of adolescent survivors were presented. The results of this study help expand our knowledge of health status among adolescent survivors after the Ludian earthquake.

Health-related quality of life for medical rescuers one month after Ludian earthquake.

BackgroundAn earthquake struck Ludian in Yunnan province of China on August 3, 2014, resulting in 3143 injuries, 617 deaths, and 112 missing persons. Our study aimed at estimating the quality of life and associated determinants among medical rescuers after Ludian earthquake.MethodsA cross-sectional survey was performed among personnel from three hospitals that assumed rescue tasks in Ludian earthquake. Descriptive statistics, t-tests, ANOVA and stepwise linear regression analysis were used for data analysis.ResultsThe mean scores on the physical component summary (PCS) and mental component summary (MCS) were 49.86 (SD = 6.01) and 35.85(SD = 6.90), respectively. Lower PCS in the aftermath of an earthquake was associated with non-military medical rescuers, elderly age, and being trapped/in danger while lower MSC in the aftermath of an earthquake was associated with non-military medical rescuers, young age, being female, being trapped/in danger and low education degree.ConclusionsIn conclusion, our study demonstrates that medical rescuers are at risk for a lower HRQoL after exposure to Ludian earthquake. The results of this study help expand our knowledge of health-related quality of life among medical rescuers after the Ludian earthquake.

Profile and procedures for fractures among 1323 fracture patients from the 2010 Yushu earthquake, China

OBJECTIVES The injuries caused by earthquakes are often complex and of various patterns. Our study included all fracture inpatients from the Yushu earthquake (1323 in total), to learn more about the incidence and distribution of fractures during earthquakes. METHODS A retrospective study of the clinical characteristics of hospitalized fracture patients after the 2010 Yushu earthquake was conducted from December 20 to 25, 2010.We reviewed medical records of hospitalized patients who had been evacuated from the Yushu earthquake area between April 14 and June 15, 2010, from 57 hospitals, and also reviewed more than 100 documents assembled from daily medical rescue and disease prevention reports submitted by the frontline rescue organizations. RESULTS In total, 78.0% of fracture patients were admitted to the hospital within 3 days after the earthquake. There were 1323 patients who presented with 1539 fractures. The most common fracture occurred in the lower limbs, followed by spinal, pelvic, and shoulder-upper limb fractures. The end of the thoracic vertebra and the lumbar vertebra were the high-risk sites for vertebral fractures. A total of 38 patients became paraplegic. A 2-level spatial clustering was detected among the 193 patients presenting with 2 fractures. CONCLUSIONS Analysis profiles of the injuries and clinical features of patients with earthquake-related fractures will positively impact rescue efforts and the treatment of fracture injuries caused by possible future natural disasters. We should assemble orthopedic-related medications and surgical equipment, and allocate them promptly after a major earthquake.

The Technical Efficiency of Earthquake Medical Rapid Response Teams Following Disasters: The Case of the 2010 Yushu Earthquake in China

Purpose: Performance assessments of earthquake medical rapid response teams (EMRRTs), particularly the first responders deployed to the hardest hit areas following major earthquakes, should consider efficient and effective use of resources. This study assesses the daily technical efficiency of EMRRTs in the emergency period immediately following the 2010 Yushu earthquake in China. Methods: Data on EMRRTs were obtained from official daily reports of the general headquarters for Yushu earthquake relief, the emergency office of the National Ministry of Health, and the Health Department of Qinghai Province, for a sample of data on 15 EMRRTs over 62 days. Data envelopment analysis was used to examine the technical efficiency in a constant returns to scale model, a variable returns to scale model, and the scale efficiency of EMRRTs. Tobit regression was applied to analyze the effects of corresponding influencing factors. Results: The average technical efficiency scores under constant returns to scale, variable returns to scale, and the scale efficiency scores of the 62 units of analysis were 77.95%, 89.00%, and 87.47%, respectively. The staff-to-bed ratio was significantly related to global technical efficiency. The date of rescue was significantly related to pure technical efficiency. The type of institution to which an EMRRT belonged and the staff-to-bed ratio were significantly related to scale efficiency. Conclusions: This study provides evidence that supports improvements to EMRRT efficiency and serves as a reference for earthquake emergency medical rapid assistance leaders and teams.