Armed-conflict risks enhanced by climate-related disasters in ethnically fractionalized countries.
Ontology highlight
ABSTRACT:
SUBMITTER: Schleussner CF
PROVIDER: S-EPMC4995947 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:IntroductionClimate 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.MethodsThis 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.ResultsFifty-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.ConclusionTo 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.
| S-EPMC8522671 | biostudies-literature
Project description:Climate-related disasters affect different dimensions of children's health and well-being both directly and indirectly. Reducing children's vulnerability and exposure to climate-related disasters is crucial to protect them against risks. Children as climate-change agents and future leaders at local, national and international level can obviously contribute to reduce vulnerabilities in families and communities and transfer knowledge to them. Moreover, children can advocate for climate change mitigation. In the long term, participation of children in the climate change mitigation programmes may lead to fewer disasters and, consequently, less risk to their health. As government policies have failed to fully address and respond to the drivers of climate-related disasters, disasters preparedness and education for children should be considered an essential activity to protect children from disaster's risks. Main factors in shaping children's behaviour and response to disaster are increasing the risk perception and knowledge of the children. When a child perceived likelihood, susceptibility and severity of a disaster (such as earthquake), then they would be able and willing to learn how to prepare for that. So far, disaster education programmes for children have mostly relied on offline school-based training. Different innovative approaches can be applied to continue education within online and digital formats including virtual reality, digital games and online platforms. However, an advocacy support by influential entities such as companies engaged in entertainment industry is required to raise the awareness of public and particularly the children about disaster preparedness.
| S-EPMC7549485 | biostudies-literature
Project description:Most scientists agree that climate change is the largest existential threat of our time. Despite the magnitude of the threat, surprisingly few climate-related discussions take place on social media. What factors drive online discussions about climate change? In this study, we examined the occurrence of Reddit discussions around three types of climate-related events: natural disasters (e.g., hurricanes, wildfires), political events (i.e., 2016 United States Presidential election), and policy events (i.e., United States' withdrawal from Paris Climate Agreement, release of IPCC report). The objective was to understand how different types of events influence collective action as measured by discussions of climate change. Six large US cities were selected based on the occurrence of at least one locally-relevant natural disaster since 2014. Posts (N = 4.4 million) from subreddits of the selected cities were collected to obtain a six-month period before and after local natural disasters as well as climate-related political and policy events (which applied equally to all cities). Climate change discussions increased significantly for all three types of events, with the highest discussion during the 2016 elections. Further, discussions returned to baseline levels within 2 months following natural disasters and policy events but continued at elevated rates for up to 4 months following the 2016 elections. The findings suggest that collective discussions on climate change are driven more by political leaders' controversial positions than life-threatening local natural disasters themselves. Implications for collective action are discussed.
| S-EPMC8426507 | biostudies-literature
Project description:BackgroundArmed conflict can indirectly affect population health through detrimental impacts on political and social institutions and destruction of infrastructure. This study aimed to quantify indirect mortality impacts of armed conflict in civilian populations globally and explore differential effects by armed conflict characteristics and population groups.MethodsWe included 193 countries between 1990 and 2017 and constructed fixed effects panel regression models using data from the Uppsala Conflict Data Program and Global Burden of Disease study. Mortality rates were corrected to exclude battle-related deaths. We assessed separately four different armed conflict variables (capturing binary, continuous, categorical, and quintile exposures) and ran models by cause-specific mortality stratified by age groups and sex. Post-estimation analyses calculated the number of civilian deaths.ResultsWe identified 1118 unique armed conflicts. Armed conflict was associated with increases in civilian mortality-driven by conflicts categorised as wars. Wars were associated with an increase in age-standardised all-cause mortality of 81.5 per 100,000 population (β 81.5, 95% CI 14.3-148.8) in adjusted models contributing 29.4 million civilian deaths (95% CI 22.1-36.6) globally over the study period. Mortality rates from communicable, maternal, neonatal, and nutritional diseases (β 51.3, 95% CI 2.6-99.9); non-communicable diseases (β 22.7, 95% CI 0.2-45.2); and injuries (β 7.6, 95% CI 3.4-11.7) associated with war increased, contributing 21.0 million (95% CI 16.3-25.6), 6.0 million (95% CI 4.1-8.0), and 2.4 million deaths (95% CI 1.7-3.1) respectively. War-associated increases in all-cause and cause-specific mortality were found across all age groups and both genders, but children aged 0-5 years had the largest relative increases in mortality.ConclusionsArmed conflict, particularly war, is associated with a substantial indirect mortality impact among civilians globally with children most severely burdened.
| S-EPMC7487992 | biostudies-literature
Project description:The combination of population growth in areas of mixed (residential, commercial, and industrial) land use along U.S. waterfronts and the increasing frequency of devastating hurricanes and storm surges has led to community fears of widespread toxic chemical contamination resulting from accidental industrial or small business releases, particularly in the aftermath of an extreme weather event, such as a hurricane. Industrial waterfront communities, which are frequently environmental justice communities, contain numerous toxic chemical sources located in close proximity to residential housing, schools, daycare centers, playgrounds, and healthcare centers. Despite the longstanding concerns of community activists and researchers about the potential for "fugitive" chemicals to be released into floodwaters, there has been little coordinated research or action to develop environmental monitoring programs for disaster-affected communities. In the aftermath of Superstorm Sandy, a community-academic partnership was formed between the New York City Environmental Justice Alliance, UPROSE, The LifeLine Group, and the RAND Corporation. The collaboration, known as Grassroots Research to Action in Sunset Park (GRASP) has focused on identifying possible sources of chemical contamination, modeling the potential for chemical release into community areas and resulting exposure risks, and proactively developing actions for mitigating or preventing adverse community impacts. Through our ongoing work, we have identified barriers and drivers for community-based environmental monitoring, and in doing so, we have developed a framework to overcome challenges. In this article, we describe this framework, which can be used by waterfront communities bracing to deal with the effects of future devastating weather disasters.
| S-EPMC6029047 | biostudies-other
Project description:BackgroundArmed conflicts have major indirect health impacts in addition to the direct harms from violence. They create enduring political instability, destabilise health systems, and foster negative socioeconomic and environmental conditions-all of which constrain efforts to reduce maternal and child mortality. The detrimental impacts of conflict on global maternal and child health are not robustly quantified. This study assesses the association between conflict and maternal and child health globally.Methods and findingsData for 181 countries (2000-2019) from the Uppsala Conflict Data Program and World Bank were analysed using panel regression models. Primary outcomes were maternal, under-5, infant, and neonatal mortality rates. Secondary outcomes were delivery by a skilled birth attendant and diphtheria, pertussis, and tetanus (DPT) and measles vaccination coverage. Models were adjusted for 10 confounders, country and year fixed effects, and conflict lagged by 1 year. Further lagged associations up to 10 years post-conflict were tested. The number of excess deaths due to conflict was estimated. Out of 3,718 country-year observations, 522 (14.0%) had minor conflicts and 148 (4.0%) had wars. In adjusted models, conflicts classified as wars were associated with an increase in maternal mortality of 36.9 maternal deaths per 100,000 live births (95% CI 1.9-72.0; 0.3 million excess deaths [95% CI 0.2 million-0.4 million] over the study period), an increase in infant mortality of 2.8 per 1,000 live births (95% CI 0.1-5.5; 2.0 million excess deaths [95% CI 1.6 million-2.5 million]), a decrease in DPT vaccination coverage of 4.9% (95% CI 1.5%-8.3%), and a decrease in measles vaccination coverage of 7.3% (95% CI 2.7%-11.8%). The long-term impacts of war were demonstrated by associated increases in maternal mortality observed for up to 7 years, in under-5 mortality for 3-5 years, in infant mortality for up to 8 years, in DPT vaccination coverage for up to 3 years, and in measles vaccination coverage for up to 2 years. No evidence of association between armed conflict and neonatal mortality or delivery by a skilled birth attendant was found. Study limitations include the ecological study design, which may mask sub-national variation in conflict intensity, and the quality of the underlying data.ConclusionsOur analysis indicates that armed conflict is associated with substantial and persistent excess maternal and child deaths globally, and with reductions in key measures that indicate reduced availability of organised healthcare. These findings highlight the importance of protecting women and children from the indirect harms of conflict, including those relating to health system deterioration and worsening socioeconomic conditions.
| S-EPMC8478221 | biostudies-literature
Project description:This data article provides a descriptive overview of the Cities and Armed Conflict Events (CACE) dataset and the data collection methods. The dataset provides a systematic coding of armed conflict events taking place in cities and outside cities across the globe. It constitutes an extension of the Uppsala Conflict Data Program (UCDP) Georeferenced Events Dataset (GED) version 18.1 and covers 1989-2017. To identify which events of armed conflict took place in cities, the data was manually matched to to data from the United Nations Statistics Division (UNSD). The dataset enables systematic analysis of urban-rural patterns in armed conflict, as illustrated by Elfversson & Höglund [1]. While existing methods for analysing such patterns frequently rely on matching conflict data to spatial grids combined with population density, the data presented here with higher validity captures whether violent events take place in cities.
| S-EPMC8603016 | biostudies-literature
Project description:Studies have shown stress may lead to diabetes-related morbidities. In recent years during enhanced hostility periods, the population of Southern Israel experienced alert sirens and rocket fire on a daily basis. We investigated whether the exposure to these stressful circumstances, which peaked during three large military operations (MO), was associated with increased glucose levels among the civilian population. We included all fasting serum glucose tests taken between 2007-2014, of Clalit Health Services members in Southern Israel who had at least one fasting glucose test during an MO period and at least one test drawn at other times. We analyzed the association between MO periods and glucose using linear mixed-effects models. We included 408,706 glucose tests (10% during MO periods). Among subjects who reside in proximity to Gaza, glucose levels were 2.10% (95% CI 1.24%; 2.97%) higher in MO days compared to other times. A weaker effect was observed among subjects in more remote locations. In conclusion, we found stress to be associated with increased fasting glucose levels, especially among those who reside in locations in which the intensity of the threat is higher. Since glucose may be a marker of the population at cardiovascular risk, further studies are required.
| S-EPMC6997375 | biostudies-literature
Project description:BACKGROUND:A substantial portion of child deaths in Africa take place in countries with recent history of armed conflict and political instability. However, the extent to which armed conflict is an important cause of child mortality, especially in Africa, remains unknown. METHODS:We matched child survival with proximity to armed conflict using information in the Uppsala Conflict Data Program Georeferenced Events Dataset on the location and intensity of armed conflict from 1995 to 2015 together with the location, timing, and survival of infants younger than 1 year (primary outcome) in 35 African countries. We measured the increase in mortality risk for infants exposed to armed conflicts within 50 km in the year of birth and, to study conflicts' extended health risks, up to 250 km away and 10 years before birth. We also examined the effects of conflicts of varying intensity and chronicity (conflicts lasting several years), and effect heterogeneity by residence and sex of the child. We then estimated the number and portion of deaths of infants younger than 1 year related to conflict. FINDINGS:We identified 15?441 armed conflict events that led to 968?444 combat-related deaths and matched these data with 1·99 million births and 133?361 infant deaths (infant mortality of 67 deaths per 1000 births) between 1995 and 2015. A child born within 50 km of an armed conflict had a risk of dying before reaching age 1 year of 5·2 per 1000 births higher than being born in the same region during periods without conflict (95% CI 3·7-6·7; a 7·7% increase above baseline). This increased risk of dying ranged from a 3·0% increase for armed conflicts with one to four deaths to a 26·7% increase for armed conflicts with more than 1000 deaths. We find evidence of increased mortality risk from an armed conflict up to 100 km away, and for 8 years after conflicts, with cumulative increase in infant mortality two to four times higher than the contemporaneous increase. In the entire continent, the number of infant deaths related to conflict from 1995 to 2015 was between 3·2 and 3·6 times the number of direct deaths from armed conflicts. INTERPRETATION:Armed conflict substantially and persistently increases infant mortality in Africa, with effect sizes on a scale with malnutrition and several times greater than existing estimates of the mortality burden of conflict. The toll of conflict on children, who are presumably not combatants, underscores the indirect toll of conflict on civilian populations, and the importance of developing interventions to address child health in areas of conflict. FUNDING:The Doris Duke Charitable Foundation, and the Centre for Global Child Health at the Hospital for Sick Children.
| S-EPMC6338336 | biostudies-literature
Project description:BackgroundPopulations exposed to Armed Conflict Experiences (ACE) show different levels of impact in their mental health (i.e. clinical and positive components); however, there is limited evidence related to mental health of general population (civilians not classified as victims) exposed to ACE. Government guided mental health assessments exclude this population. The use of a newly validated Extreme Experiences Scale (EX2) seems appropriate to classify victims, ex-combatants, and civilians for their mental health assessment.MethodsHere, we propose a novel approach to identify relationships between individuals classified with different levels of ACE exposure-independent of their legal role in the armed conflict, and mental health outcomes. According to the cut-off points derived from the scores of EX2, we classified the sample in low and high exposure to ACE.ResultsThe high-level ACE group (scores > 2.5) included 119 subjects, and the low-level ACE was constituted by 66 subjects. Our results evidence that people with high exposure to ACE experiment higher odds to present anxiety disorders, risk of suicide, or post-traumatic stress disorder, as well as increased cognitive empathy (i.e., fantasy dimension).ConclusionThese findings allowed us to identify the influence of ACE on mental health outcomes beyond the conventional frame (victim or ex-combatant), and to discuss effective interventions and implementation of mental health strategies in these communities. We expect to help the health system to focus on key vulnerable subjects by including civilians not recognized as victims, which are neglected from most of the public health screening, assessment, and interventions.
| S-EPMC8394205 | biostudies-literature