PTSD and depression in adult survivors of flood fury in Kashmir: The payoffs of social support

Impact of extreme weather events on mental health in South and Southeast Asia: A two decades of systematic review of observational studies

Extreme weather events in South and Southeast Asia exert profound psychosocial impacts, amplifying the prevalence of mental illness. Despite their substantial consequences, there is a dearth of research and representation in the current literature. We conducted a systematic review of observational studies published between January 1, 2000, and January 20, 2024, to examine the impact of extreme weather events on the mental health of the South and Southeast Asian population. Quality assessment of the included studies was conducted using the Newcastle-Ottawa Scale (NOS) quality appraisal checklist. The search retrieved 70 studies that met the inclusion criteria and were included in our review. Most were from India (n = 22), and most used a cross-sectional study design (n = 55). Poor mental health outcomes were associated with six types of extreme weather events: floods, storm surges, typhoons, cyclones, extreme heat, and riverbank erosion. Most studies (n = 41) reported short-term outcome measurements. Findings included outcomes with predictable symptomatology, including post-traumatic stress disorder, depression, anxiety, general psychological distress, emotional distress and suicide. Limited studies on long-term effects showed higher mental disorders after floods and typhoons, while cyclone-exposed individuals had more short-term distress. Notably, the review identified over 50 risk factors influencing mental health outcomes, categorized into six classes: demographic, economic, health, disaster exposure, psychological, and community factors. However, the quantitative evidence linking extreme weather events to mental health was limited due to a lack of longitudinal data, lack of control groups, and the absence of objective exposure measurements. The review found some compelling evidence linking extreme weather events to adverse mental health in the South and Southeast Asia region. Future research should focus on longitudinal study design to identify the specific stressors and climatic factors influencing the relationship between climate extremes and mental health in this region.

Perceived social support and longitudinal trajectories of depression and anxiety in World Trade Center responders

PURPOSE

While severely distressing events are known to affect mental health adversely, some survivors develop only short-lived or no psychiatric symptoms in the aftermath of a disaster. In the WTC Health Program General Responder Cohort (WTCHP GRC) we examined whether social support was protective against the development of depression or anxiety symptoms after the 9/11 WTC attacks and explored in a subsample whether trait resilience moderated this relationship.

METHODS

We analyzed data from 14,033 traditional and 13,478 non-traditional responders who attended at least three periodic health monitoring visits between 2002 and 2019. Linear mixed-effects models were used to examine depression (Patient Health Questionnaire-9; PHQ-9) and anxiety (Generalized Anxiety Disorder screener; GAD-7) scores. In a subsample of 812 participants, we also assessed if the association between social support and symptoms was moderated by an individual's trait resilience level (Connor-Davidson Resilience Scale, CD-RISC).

RESULTS

For both traditional and non-traditional responders, perceived social support around 9/11 was associated with lower levels of depressive (β = - 0.24, S.E. = 0.017, z = - 14.29, p < 0.001) and anxiety symptoms (β = - 0.17, S. E. = 0.016, z = - 10.48, p < 0.001). Trait resilience scores were higher in responders with at least one source of social support during the aftermath of 9/11 compared to those without (mean 71.56, SD 21.58 vs mean 76.64, SD 17.06; β = 5.08, S.E. = 0.36, p < 0.001). Trait resilience moderated the association between social support and depressive (p < 0.001) and anxiety trajectories (p < 0.001) for traditional responders.

CONCLUSION

Our findings suggest that perceived social support around a severely distressing event may have long-term protective effects on symptoms of depression and anxiety.

The impact of social support and emotion dysregulation on COVID-19 depressive symptoms

Introduction

Stress resulting from the global COVID-19 pandemic has been linked to psychological consequences, such as depressive symptoms, for individuals worldwide. Outbreaks and pandemics are known to accentuate stressors or generate new ones owing to health-related worries, reduced mobility, and social activity due to quarantine, and sudden life changes. Although post-lockdown U.S. research findings suggest a greater risk of depression among 18- to 25-year-olds, familiarity with technology and virtual socializing may offer college students some protective effect, warranting research with such groups.

Methods

The current study thus explored emotion dysregulation (ED) and perceived social support (PSS) as potential mechanisms for the relationship between COVID-19 stress and depressive symptoms among students at a southern university in the United States. Participants (N = 489) completed a cross-sectional survey assessing their current levels of COVID-19 stress, ED, PSS, and depressive symptoms.

Results

Path analysis showed that PSS buffered the effect of ED on depressive symptoms. The results support the explanatory role of ED in the relationship between COVID-19 stress and depressive symptoms.

Discussion

The perceived social connection may be an essential factor for psychological outcomes during periods of stress and isolation, particularly for those reporting high ED.

The effect of an Internet-based cognitive behavioral therapy intervention on social support in disaster evacuees

INTRODUCTION

Both exposure to a natural disaster and psychological symptoms may lead to decreases in social support. Few studies have examined ways to improve social support among victims of natural disasters.

AIMS

The objective of the study was to assess emotional and tangible support following a 12-session Internet-based cognitive behavioral therapy (ICBT) targeting posttraumatic stress (PTS), insomnia, and depression symptoms and to examine the association between posttreatment symptoms and emotional and tangible support.

MATERIALS AND METHODS

One hundred and seventy-eight wildfire evacuees with significant PTS, depression and/or insomnia symptoms were given access to the ICBT. They completed questionnaires at pre- and posttreatment to measure social support and symptom severity.

RESULTS

Results show that completion of the treatment led to an improvement in emotional support. Lower posttreatment PTS and insomnia symptoms were associated with higher posttreatment emotional support.

CONCLUSION

ICBT may contribute to enhance emotional support through symptom improvement and probably more so when social support is address directly in treatment.

Flood exposure and psychological distress among Ghanaian adults in flood-prone settings

Urban floods have long-term mental health implications, yet this subject remains largely neglected in flood-related studies. This paper examines the psychological distress (PD) of adults exposed to floods in Ghana. Cross-sectional data involving 767 flood-prone community-dwelling household heads aged ≥20 years were analyzed [mean = 47.3 years (SD = 13.7); males = 61.4%]. We used the Exposure to Flood-related Events Scale, and PD was assessed with the Kessler Psychological Distress Scale (K10). Ordinary Least Squares (OLS) regressions evaluated crude and adjusted associations of flood exposure with PD. The mean scores of PD (37[SD = 8]) and exposure to flood events (6[SD = 3]) significantly varied by age and sex (p < .05). After full adjustment for potential confounders, exposure to flood events was significantly and positively associated with PD index in the total sample (β = 0.030; p < .005), among male participants (β = 0.019; p < .05) and female participants (β = 0.048; p < .001). Furthermore, age-wise analysis revealed significant association of flood exposure with PD in young adults (β = 0.033; p < .001) but not in older adults (β = 0.048; p = .062). Exposure to floods increased the risk of PD. Policy and public health efforts to manage PD should include selective flood reduction interventions, including land use regulations and sustained public education.

Prevalence of Post-traumatic Stress Disorder After Flood: A Systematic Review and Meta-Analysis

Introduction

Flood as the most common kind of the natural disasters has unpleased short, medium, and long-term consequences on the victims' welfare, relationships, and physical and mental health. One of the most common mental health disorders in these victims is Post-traumatic stress disorder (PTSD). The aim of this study is to investigate the prevalence of PTSD on the flood victims.

Methods

Data resources including PubMed, Scopus, Web of Science, Science Direct, Embase, Google Scholar, conference and congress papers, key journals, the reference list of selected articles as well as systematic reviews were searched to identify studies that reported the prevalence of PTSD in flood victims. Random Effect Model was used to perform meta-analysis of the studies. Cochran test and I2 indicator were used to explore heterogeneity between the studies. Publication bias of the study was evaluated using Begg'test. Data were analyzed by STATA (version 14) software.

Results

After a comprehensive search, 515 papers were extracted. After eliminating duplicates and final screening, 23 studies were selected and entered the meta-analysis phase after qualitative evaluation. The results showed that the prevalence of PTSD in flood victims is 29.48% (95% CI: 18.64-40.31, I2 = 99.3%, p-value < 0.001).

Conclusion

The results of the present study showed that the prevalence of PTSD is relatively high in the flood victims. So, it is necessary to take preventive, supportive, therapeutic and effective actions for them.

Climate change, climate-related disasters and mental disorder in low- and middle-income countries: a scoping review

INTRODUCTION

Climate change and climate-related disasters adversely affect mental health. Low- and middle-income countries (LMICs) are particularly vulnerable to the impacts of climate change and climate-related disasters and often lack adequate mental healthcare infrastructure. We used the scoping review methodology to determine how exposure to climate change and climate-related disasters influences the presence of mental disorders among those living in LMICs. We also aimed to recognise existing gaps in this area of literature.

METHODS

This review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews checklist. To identify relevant studies, we searched five electronic databases (MEDLINE, EMBASE, Global Health, APA PsycInfo and Sociological Abstracts) from 1 January 2007 to 31 December 2019. We also searched the grey literature. Included studies had an adult-focused LMIC population, a climate change or climate-related disaster exposure and a mental disorder outcome. Relevant study information was extracted and synthesised.

RESULTS

Fifty-eight studies were identified, most of which (n=48) employed a cross-sectional design. The most commonly studied exposure-outcome combinations were flood-related post-traumatic stress disorder (PTSD) (n=28), flood-related depression (n=15) and storm-related PTSD (n=13). The majority of studies identified a positive exposure-outcome association. However, few studies included a baseline or comparator (ie, unexposed) group, thereby limiting our understanding of the magnitude or nature of this association. There was also great heterogeneity in this literature, making studies difficult to pool or compare. Several research gaps were identified including the lack of longitudinal studies and non-uniformity of geographic coverage.

CONCLUSION

To our knowledge, this was the first scoping review to investigate the relationship between climate change and climate-related disaster exposures and mental disorder outcomes in LMICs. Our findings support the need for further research, but also highlight that mental health should be a priority within LMIC climate change policy considerations.

COVID-19 related fear and mental health in Indian sample: The buffering effect of support system

The scientific world witnessed a surge of researches, from all corners of the world, regarding the humanitarian crisis precipitated by COVID-19 pandemic, more specifically its impact on people’s mental health. However, researchers exploring the association between COVID-19 related fear and mental health are yet to understand the conditions through which potential benefits may occur. Many factors could buffer the effects of COVID-19 related fear on mental health; support system is probably the predominant one. Thus, the present study examined the moderating effects of support system in the association between COVID-19 related fear and mental health outcomes – somatic symptoms, generalized anxiety disorder (GAD), and depression. Using a web-based cross-sectional survey, we collected data from 163 volunteers assessed with demographic information, COVID-19 related fear, support system, and mental health outcomes. Hierarchical multiple regression analysis and simple effect tests revealed that high levels of support from family, friends, and significant others might buffer/lessen the psychological sequelae (e.g., somatic symptoms, anxiety, and depression during public health emergencies, such as COVID-19 pandemic. Given the potential for negative mental health outcomes following pandemics, such as COVID-19, efforts to enhance peoples’ support system may be especially important.

Media Exposure to COVID-19 Predicted Acute Stress: A Moderated Mediation Model of Intolerance of Uncertainty and Perceived Social Support

Background: Previous studies have found that disaster-related media exposure could predict acute stress responses. However, few studies have investigated the relationship between media exposure to COVID-19 and acute stress, and less is known about the mechanisms that translate media exposure to COVID-19 into acute stress. The current study explored the impact of media exposure to COVID-19 on acute stress, and examined the mediating role of intolerance of uncertainty (IU) and the moderating role of perceived social support (PSS). Methods: A total of 1,483 Chinese participants (M age = 27.93 years, SD = 8.45) completed anonymous online questionnaires regarding media exposure to COVID-19, IU, PSS, and acute stress during the COVID-19 outbreak in China. Results: Media exposure to COVID-19 was positively related to acute stress, and IU partially mediated this relationship. The direct effect of media exposure to COVID-19 on acute stress, and the relationship between IU and acute stress, were both moderated by PSS. The impacts of both media exposure to COVID-19 and IU on acute stress were stronger for individuals with low PSS. Limitations: This study collected data in a shorter timeframe, and no assessments occurred during the follow-up, which may prevent us from detecting the changes of the relationships between variables over time. Meanwhile, the self-report method limited the validity of the data due to subjective reporting bias. Conclusions: These findings contribute to a better understanding of how and when pandemic-related media exposure affects acute stress, and provide new perspectives for the prevention to reduce psychological problems following traumatic events.

How Does Reciprocal Exchange of Social Support Alleviate Individuals' Depression in an Earthquake-Damaged Community?

There is ample evidence to indicate the direct effects of receiving social support on mental health during and after a disaster. However, the importance of reciprocal exchanges of social support (i.e., balanced receipt and provision of social support) in maintaining the mental health status of individuals is not widely recognized. Using equity theory and reciprocity norms as a conceptual base, we distinguished two types of social support, namely, emotional support and instrumental support, and examined the effects of reciprocal exchanges of types of support on depression in survivors of an earthquake-damaged community. To collect data, in 2019, a questionnaire survey was conducted among 295 survivors of the 2015 Gorkha Earthquake in a rural village in Nepal. Our results showed that the relationship between reciprocal exchange of support and depression varied depending on the types of support. The amount of emotional support received by the individual alleviated his/her depression only when accompanied by giving emotional support. By contrast, the net amount of instrumental support given by the individual increased his/her depression. The practical implications of the study are discussed.

Less Social Support for Patients With COVID-19: Comparison With the Experience of Nurses

Context: Since December 2019, more than 80,000 patients have been diagnosed with coronavirus disease 2019 (COVID-19) in China. Social support status of COVID-19 patients, especially the impact of social support on their psychological status and quality of life, needs to be addressed with increasing concern. Objectives: In this study, we used social support rating scale (SSRS) to investigate the social support in COVID-19 patients and nurses. Methods: The present study included 186 COVID-19 patients at a Wuhan mobile cabin hospital and 234 nurses at a Wuhan COVID-19 control center. Responses to a mobile phone app-based questionnaire about social support, anxiety, depression, and quality of life were recorded and evaluated. Results: COVID-19 patients scored significantly lower than nurses did on the Social Support Rating Scale (SSRS). Among these patients, 33.9% had anxiety symptoms, while 23.7% had depression symptoms. Overall SSRS, subjective social support scores and objective support scores of patients with anxiety were lower than those of patients without anxiety. This result was also found in depression. In addition, all dimensions of social support were positively correlated with quality of life. Interestingly, in all dimensions of social support, subjective support was found to be an independent predictive factor for anxiety, depression, and quality of life, whereas objective support was a predictive factor for quality of life, but not for anxiety and depression via regression analysis. Conclusion: Medical staffs should pay attention to the subjective feelings of patients and make COVID-19 patients feel respected, supported, and understood from the perspective of subjective support, which may greatly benefit patients, alleviate their anxiety and depression, and improve their quality of life.

Examining moderators of the relationship between social support and self-reported PTSD symptoms: A meta-analysis

Social support is one of the most robust predictors of posttraumatic stress disorder (PTSD). Yet, little is known about factors that moderate the relationship between social support and PTSD symptom severity. This meta-analysis estimated the overall effect size of the relationship between self-reported social support and PTSD severity and tested meaningful demographic, social support, and trauma characteristics that may moderate this association using both cross-sectional and longitudinal effect sizes. A comprehensive search identified 139 studies with 145 independent cross-sectional effect sizes representing 62,803 individuals and 37 studies with 38 independent longitudinal effect sizes representing 25,792 individuals. Study samples had to comprise trauma-exposed, nonclinical adult populations to be included in the analysis. Cross-sectional and longitudinal analyses revealed a near medium overall effect size (rcross = -.27; 95% CI [-.30, -.24]; rlong = -.25; 95% CI [-.28, -.21]) with a high degree of heterogeneity (cross-sectional I2 = 91.6, longitudinal I2 = 86.5). Both cross-sectional and longitudinal moderator analyses revealed that study samples exposed to natural disasters had a weaker effect size than samples exposed to other trauma types (e.g., combat, interpersonal violence), studies measuring negative social reactions had a larger effect size than studies assessing other types of social support, and veteran samples revealed larger effect sizes than civilian samples. Several other methodological and substantive moderators emerged that revealed a complex relationship between social support and PTSD severity. These findings have important clinical implications for the types of social support interventions that could mitigate PTSD severity. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Measuring mental health burden in humanitarian settings: a critical review of assessment tools

Background

The effects of disasters and conflicts are widespread and heavily studied. While attention to disasters’ impacts on mental health is growing, mental health effects are not well understood due to inconsistencies in measurement.

Objective

The purpose of this study is to review mental health assessment tools and their use in populations affected by disasters and conflicts.

Method

Tools that assess posttraumatic stress disorder, depression, substance use disorder, and general mental health were examined. This review began with a search for assessment tools in PubMed, PsycINFO, and Google Scholar. Next, validation studies for the tools were obtained through snowball sampling. A final search was conducted for scientific studies using the selected tools in humanitarian settings to collect the data for analysis. The benefits and limitations described for each tool were compiled into a complete table.

Results

Twelve assessment tools were included, with 88 studies using them. The primary findings indicate that half of the studies used the Impact of Events Scale-Revised. The most common limitation discussed is that self-report tools inaccurately estimate the prevalence of mental health problems. This inaccuracy is further exacerbated by a lack of cultural appropriateness of the tools, as many are developed for Western contexts.

Conclusion

It is recommended that researchers and humanitarian workers reflect on the effectiveness of the mental health assessment tool they use to accurately represent the populations under study in emergency settings. In addition, mental health assessment should be coupled with action.

Evaluating the Prevalence of PTSD among Children and Adolescents after Earthquakes and Floods: a Systematic Review and Meta-Analysis

Our study systematically reviews articles about the prevalence of Post-traumatic Stress Disorder (PTSD) among children and adolescents, aiming to evaluate its prevalence after earthquakes and floods.Three databases (PubMed, Scopus, and Web of Science) were searched for articles published from 1981 to 2019 containing information on PTSD prevalence among survivors of earthquakes and floods. Articles with insufficient data on the prevalence of PTSD or without any available full-text were excluded. Major study variables consist of the prevalence of PTSD of the included studies, gender, and the elapsed time after the disaster. The overall PTSD prevalence was determined using a fixed-effect model for eligible studies. Of 4107 studies listed using our search strategy, 439 underwent full-text review, 59 records included in the systematic review, and 39 records met the criteria for meta-analysis. The pooled prevalence of PTSD among children and adolescent survivors after earthquakes and floods was 19.2% (95%CI = 18.6-19.7%), 30.0% (95%CI = 29.5-30.6%), 24.4% (95%CI = 23.4-25.4%) and 20.4% (95%CI = 19.1-21.7%), in the first, second, third and fourth six-month intervals after the disaster, respectively. Our analysis also revealed that PTSD was more prevalent among girls (p < 0.001). The absence of psychological support for affected areas considerably increases the risk of PTSD among survivors. Our results indicated that children and adolescents, especially girls, are more vulnerable and should be in top priority. The governments should refine their policies on post-disaster services and run early screening, immediate intervention, and ongoing monitoring for PTSD, as well as mental and emotional supports.

The relationship between PTSD and depressive symptoms among children after a natural disaster: A 2-year longitudinal study

This study examined the relationship between posttraumatic stress disorder (PTSD) and depressive symptoms among children who survived the Lushan earthquake. Three hundred thirty-three children (154 males, 179 females) were assessed for acute stress disorder (ASD) and depressive symptoms at 2 weeks (T1), and their PTSD and depressive symptoms were recorded at 1.5 (T2), 6 (T3), 12 (T4) and 24 (T5) months after the earthquake. The results showed that ASD predicted PTSD and depressive symptoms from T1 to T2, and PTSD symptoms predicted depressive symptoms from T2 to T5, but not vice versa. Depressive symptoms predicted avoidance from T1 to T5; in turn, avoidance predicted depressive symptoms from T3 to T5. Hyperarousal and intrusive symptoms had an effect on depressive symptoms between T1 and T2, and depressive symptoms predicted hyperarousal and intrusion from T2 to T3; after 12 months they did not significantly predict each other. The results suggest that PTSD symptoms generally precede depressive symptoms, and that hyperarousal and intrusive symptoms are major symptoms of PTSD soon after trauma events, while avoidance symptoms are major symptoms of PTSD late after trauma events. The relationship between PTSD and depressive symptoms mostly fits the interactive model.

Policy brief on climate change and mental health/well-being

Climate change has a significant global impact on individuals' mental health and well-being. However, global health systems are inadequately prepared to address this issue. Studies indicate that climate events such as floods, droughts, tornados, earthquakes, and fires not only exacerbate chronic mental illness, but also impact well-being causing anxiety, stress, and in the worst case, suicide. The World Health Organization estimates that 12.6 million preventable deaths per year can be attributed to environmental factors, all of which are exacerbated by climate change, and an additional 250,000 deaths per year are projected between 2030 and 2050. Nurses must advocate for research, education, and policies that support disaster-resilient infrastructure and human services that allow communities across the globe to effectively mitigate the impact of climate change on human health.

Posttraumatic Stress and Depression in the Aftermath of Environmental Disasters: A Review of Quantitative Studies Published in 2018

PURPOSE OF REVIEW

As interest in the mental health consequences of environmental disasters increases, this review aimed to summarize peer-reviewed studies published in 2018 on posttraumatic stress disorder (PTSD) and depression symptoms after such events.

RECENT FINDINGS

Notable trends in the past year of research included studies focusing on vulnerable populations (e.g., persons with preexisting physical health conditions), assessing the cumulative impact of exposure to multiple disasters, exploring pathway leading to PTSD and depression symptoms, and evaluating the effectiveness of post-disaster interventions. Over 100 articles were identified, focused on 40 disasters that occurred between 1982 and 2017. Prevalence estimates ranged from 0 to 70.51% for PTSD and 1.9 to 59.5% for depression. Consistent predictors of adverse outcomes included female gender, socioeconomic disadvantage, high disaster exposure, and low psychosocial resources. Further research that expands upon recent advances in the literature is critical given the large proportion of the world's population exposed to disasters and the increasing incidence of such events.

Association between floods and hospital admissions for schizophrenia in Hefei, China: The lag effects of degrees of floods and time variation

BACKGROUND

Schizophrenia is a serious mental disorder, endangering 7.5 million patients in China. Floods, as the adverse consequence of temperature-rise, have a negative influence on mental health. However, the relationship between floods and schizophrenia is still insufficient. This study aimed to quantitative the relationship between floods and the admissions for schizophrenia in Hefei, China.

METHODS

A Poisson generalized linear model (GLM) combining a distributed lag non-linear model (DLNM) was used to quantify the lag effects of floods on schizophrenia and subgroups (male, female; ≤40 y, >40 y; the married, the unmarried) from 2005 to 2014, Hefei, China. We further explored the effects of different degrees (moderate and severe) of floods and their temporal changes on schizophrenia.

RESULTS

There was a significant association between floods and admissions risk for schizophrenia. And the lag effects for schizophrenia lasted ten days (lag 5-lag 14), with the greatest effect on lag 9 (RR = 1.036, 95% confidence interval (CI): 1.014-1.058). The married, ≤40 y were sensitive to floods. The significant difference wasn't found for genders. The effects of the severe flood were higher than moderate floods, with the largest RR of 1.073 (95%CI: 1.029-1.119). The adverse effects were found in the middle and late period with a decreasing trend in the later period.

CONCLUSIONS

This study suggests a significant association between floods and schizophrenia with ten days of lag effects in Hefei, China. Male, female, <40 y and the married are vulnerable to both moderate and severe floods. The findings might be used to allocate medical resources of mental health after floods.

Social support, interpersonal, and community dynamics following disasters caused by natural hazards

The most essential, and possibly the most reliably present, characteristic of all disasters is that they exert strong impact on social relationships. Two very different, at times conflicting, dynamic processes emerge in their aftermath: the initial outpouring of immense mutual helping and solidarity, followed by a subsequent sense of loss in the quality of interpersonal and community relationships. This review of recent findings in the area of disaster mental health confirmed two major patterns of social support dynamics following disastrous events resulting from natural hazards: a mobilization of received social support and deterioration of perceived social support and sense of community. Social support is a critical resource helping people cope with natural disasters. Its psychologically and socially protective functions for survivors and their communities unfold in a complex matrix of benefits and liabilities.

Post-Traumatic Stress Disorder among the Flood Affected Population in Indian Subcontinent

Globally, frequent flooding causes higher magnitude of disaster among the developing and developed nations. Particularly, the Indian subcontinent is considered as highly vulnerable area for natural disaster and is affected most because of limited resources and coping strategies for post-disaster rehabilitation. Apart from the great impact on human health, floods have considerable impact on mental health. The most frequently diagnosed psychological illness in flood affected population is post-traumatic stress disorder (PTSD). In India, the incidence of PTSD in major natural disasters varies considerably depending upon the magnitude of event, with the highest rates reported of around 70%. Studies conducted during initial few months post-disaster, showed a higher occurrence of psychiatric manifestations. On the other hand, some reports suggested contrary results under similar circumstances. Notably, extreme age (children and elderly), female gender, socioeconomic status, pre-existing mental health issues and financial crisis post-disaster are the potential predisposing factors influencing the vulnerability of PTSD. In Indian context, the variability in the magnitude of psychiatric illness is mainly attributed to the ethnic diversity (vulnerable population), severity and type of flood event and social support. Still there is more to explore regarding the long-term sequelae of catastrophic floods on physical and mental trauma on disaster-affected populations.

Social support moderates association between posttraumatic growth and trauma-related psychopathologies among victims of the Sewol Ferry Disaster

Disasters have numerous harmful effects on the mental health status of trauma-exposed people. We investigated the differences in the association between trauma-related psychopathologies and posttraumatic growth according to the perceived social support level among victims of the Sewol Ferry disaster on April 16, 2014, in South Korea. Data from 241 bereaved family members, survivors, and family members of survivors were used. The Duke-UNC Functional Social Support Questionnaire, Posttraumatic Growth Inventory, PTSD Checklist-5, Posttraumatic Embitterment Disorder Self-Rating Scale, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7 were used to evaluate perceived social support, posttraumatic growth, and trauma-related psychopathologies. We found that the severity of depression and anxiety showed inverse correlations with posttraumatic growth only in the low-social support group, while they did not demonstrate significant correlations in the high-social support group. The social support level had correlations with posttraumatic growth and the severity of posttraumatic stress disorder and posttraumatic embitterment disorder only in female respondents. Furthermore, there was a mediation pathway from social support level to posttraumatic growth through depressive symptoms. This study explored the complex relationship between social support, posttraumatic growth, trauma-related psychopathologies, and gender among trauma-exposed individuals in the aftermath of the Sewol Ferry disaster.