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Disasters are traumatic events that may result in a wide range of mental and physical health consequences. Post-traumatic stress disorder (PTSD) is probably the most commonly studied post-disaster psychiatric disorder. This review aimed to systematically assess the evidence about PTSD following exposure to disasters. MethodA systematic search was performed. Eligible studies for this review included reports based on the DSM criteria of PTSD symptoms. The time-frame for inclusion of reports in this review is from 1980 (when PTSD was first introduced in DSM-III) and February 2007 when the literature search for this examination was terminated. We identified 284 reports of PTSD following disasters published in peer-reviewed journals since 1980. We categorized them according to the following classification: (1) human-made disasters (n=90), (2) technological disasters (n=65), and (3) natural disasters (n=116). Since some studies reported on findings from mixed samples (e.g. survivors of flooding and chemical contamination) we grouped these studies together (n=13). The body of research conducted after disasters in the past three decades suggests that the burden of PTSD among persons exposed to disasters is substantial. Post-disaster PTSD is associated with a range of correlates including sociodemographic and background factors, event exposure characteristics, social support factors and personality traits. Relatively few studies have employed longitudinal assessments enabling documentation of the course of PTSD. Methodological limitations and future directions for research in this field are discussed.

Access to healthcare is a requirement for human well-being that is constrained, in part, by the allocation of healthcare resources relative to the geographically dispersed human population 1 – 3 . Quantifying access to care globally is challenging due to the absence of a comprehensive database of healthcare facilities. We harness major data collection efforts underway by OpenStreetMap, Google Maps and academic researchers to compile the most complete collection of facility locations to date. Leveraging the geographically variable strengths of our facility datasets, we use an established methodology 4 to characterize travel time to healthcare facilities in unprecedented detail. We produce maps of travel time with and without access to motorized transport, thus characterizing travel time to healthcare for populations distributed across the wealth spectrum. We find that just 8.9% of the global population (646 million people) cannot reach healthcare within one hour if they have access to motorized transport, and that 43.3% (3.16 billion people) cannot reach a healthcare facility by foot within one hour. Our maps highlight an additional vulnerability faced by poorer individuals in remote areas and can help to estimate whether individuals will seek healthcare when it is needed, as well as providing an evidence base for efficiently distributing limited healthcare and transportation resources to underserved populations both now and in the future. A global analysis generating high-resolution maps of travel time shows that 91.1% of the world’s population can reach a hospital or clinic within an hour if they have access to motorized transportation, but only 56.7% can do so by walking, highlighting additional inequities for underserved populations accessing healthcare.

Tauopathies are neurodegenerative diseases associated with accumulation of abnormal tau protein in the brain. Patient iPSC-derived neuronal cell models replicate disease-relevant phenotypes ex vivo that can be pharmacologically targeted for drug discovery. Here, we explored autophagy as a mechanism to reduce tau burden in human neurons and, from a small-molecule screen, identify the mTOR inhibitors OSI-027, AZD2014 and AZD8055. These compounds are more potent than rapamycin, and robustly downregulate phosphorylated and insoluble tau, consequently reducing tau-mediated neuronal stress vulnerability. MTORC1 inhibition and autophagy activity are directly linked to tau clearance. Notably, single-dose treatment followed by washout leads to a prolonged reduction of tau levels and toxicity for 12 days, which is mirrored by a sustained effect on mTORC1 inhibition and autophagy. This new insight into the pharmacodynamics of mTOR inhibitors in regulation of neuronal autophagy may contribute to development of therapies for tauopathies. Disruption of autophagy function in cellular and animal models of tauopathy increases tau aggregation. Here, the authors describe a small-molecule screen to identify compounds that promote autophagy clearance of tau and rescue disease-relevant phenotypes in tauopathy patient-derived neurons.

We report on the 2016 outburst of the transient Galactic Black Hole candidate IGR J17091-3624 based on the observation campaign carried out with SWIFT and NuSTAR. The outburst profile, as observed with SWIFT-XRT, shows a typical ‘q’-shape in the Hardness Intensity Diagram (HID). Based on the spectral and temporal evolution of the different parameters, we are able to identify all the spectral states in the q-profile of HID and the Hardness-RMS diagram (HRD). Both XRT and NuSTAR observations show an evolution of low frequency Quasi periodic oscillations (QPOs) during the low hard and hard intermediate states of the outburst rising phase. We also find mHz QPOs along-with distinct coherent class variabilities (heartbeat oscillations) with different timescales, similar to the ρ\\(\\rho \\)-class (observed in GRS 1915+105). Phenomenological modelling of the broad-band XRT and NuSTAR spectra also reveals the evolution of high energy cut-off and presence of reflection from ionized material during the rising phase of the outburst. Further, we conduct the modelling of X-ray spectra of SWIFT and NuSTAR in 0.5–79 keV to understand the accretion flow dynamics based on two component flow model. From this modelling, we constrain the mass of the source to be in the range of 10.62–12.33M⊙\\(10.62\\mbox{--}12.33~\\mbox{M}_{\\odot }\\) with 90% confidence, which is consistent with earlier findings.

Diabetes mellitus, a condition characterized by dysregulation of blood glucose levels, poses significant health challenges globally. This meta-analysis and systematic review aimed to evaluate the effectiveness of artificial intelligence (AI) in managing diabetes, underpinned by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The review scrutinized articles published between January 2019 and February 2024, sourced from six electronic databases: Web of Science, Google Scholar, PubMed, Cochrane Library, EMBASE, and MEDLINE, using keywords such as \"Artificial intelligence use in medicine, Diabetes management, Health technology, Machine learning, Diabetic patients, AI applications, and Health informatics.\" The analysis revealed a notable variance in the prevalence of diabetes symptoms between patients managed with AI models and those receiving standard treatments or other machine learning models, with a risk ratio (RR) of 0.98 (95% CI: 0.88-1.08, I = 0%). Sub-group analyses, focusing on symptom detection and management, consistently showed outcomes favoring AI interventions, with RRs of 0.97 (95% CI: 0.87-1.08, I = 0%) for symptom detection and 0.97 (95% CI: 0.56-1.57, I = 0%) for management, respectively. The findings underscore the potential of AI in enhancing diabetes care, particularly in early disease detection and personalized lifestyle recommendations, addressing the significant health risks associated with diabetes, including increased morbidity and mortality. This study highlights the promising role of AI in revolutionizing diabetes management, advocating for its expanded use in healthcare settings to improve patient outcomes and optimize treatment efficacy.

A defining feature of the US economic downturn of 2008-2010 was the alarming rate of home foreclosure. Although a substantial number of US households have experienced foreclosure since 2008, the effects of foreclosure on mental health are unknown. We examined the effects of foreclosure on psychiatric symptomatology in a prospective, population-based community survey. Data were drawn from the Detroit Neighborhoods and Health Study (DNHS), waves 1 and 2 (2008-2010). A probability sample of predominantly African-American adults in Detroit, Michigan participated (n=1547). We examined the association between home foreclosure between waves 1 and 2 and increases in symptoms of DSM-IV major depression and generalized anxiety disorder (GAD). The most common reasons for foreclosure were an increase in monthly payments, an increase in non-medical expenses and a reduction in family income. Exposure to foreclosure between waves 1 and 2 predicted symptoms of major depression and GAD at wave 2, controlling for symptoms at wave 1. Even after adjusting for wave 1 symptoms, sociodemographics, lifetime history of psychiatric disorder at wave 1 and exposure to other financial stressors between waves 1 and 2, foreclosure was associated with an increased rate of symptoms of major depression [incidence density ratio (IDR) 2.4, 95% confidence interval (CI) 1.6-3.6] and GAD (IDR 1.9, 95% CI 1.4-2.6). We provide the first prospective evidence linking foreclosure to the onset of mental health problems. These results, combined with the high rate of home foreclosure since 2008, suggest that the foreclosure crisis may have adverse effects on the mental health of the US population.

(1) Background: The study’s purpose was to explore the knowledge, perceptions, and confidence of mothers about infant care to reduce the risk of sudden unexpected infant death. (2) Methods: A purposeful sampling method was used to recruit 15 first-time mothers from Georgia with infants under 1 year of age. The researchers utilized the Socio-ecological model to report the results. Participants also provided recommendations on how to improve infant care and reduce the risk of SUID. (3) Results: The confidence level of infant care among most participants was low but increased over time. Mothers’ knowledge level about the prevention of SUID was high, but poor emotional health could hurt their parental abilities. Most participants recognized medical providers as the main source of reliable information. However, a lack of emotional and physical support was reported by mothers. (4) Conclusions: Results suggested that a more holistic approach to infant care is needed. The healthcare system and communities should provide more physical, social, and mental support to first-time mothers, a consolidated approach to care before and after birth, and easy access to services at all stages of the process to reduce the risk of SUID.

The existence of the wide range of natural endowment is very much favorable for growing a large array of horticultural crops throughout the country. The country observed a sharper increase in the area of horticultural crops compared to food grains. In the fruit industry, mango stands top in position. Due to perennial nature, the cost and return behavior has been estimated @ 10 percent opportunity cost of capital as like investment appraisal for the interest of development of mango entrepreneurs. The per hectare net present value (NPV), for the entire life period (55 years) of the mango orchard has been found to be ₹ 600237.34. Benefit-cost ratio is 1.76. The adjusted IRR is also worked out as 19.80 percent, which is sufficiently higher than the opportunity cost of the capital or the rate of interest charged by the financial institutions. The payback period was about 8.2 years. Thus, the evidence reveals that investments in mango orchard are highly profitable, economically feasible and financially viable. To overcome the question of risk and uncertainty in investment over a longer period the usual technique is how sensitive the investment if the cost or return increase/decrease due to economic or other change in the market. Some competing crop performed better in term of benefit-cost ratio, but in terms of average annual net return of ₹ 36030.60 ha-1 which was evidently higher than that of alternative crops. The mango cultivation is low input intensive as compared to food grain that means fewer requirements of resources for its production. So, we can say mango production is more profitable venture for resource-poor farmers.

[This retracts the article DOI: 10.7759/cureus.58713.].

The purpose of this study was to understand the influence Black college women have on the health behaviors of Black men. Using the Health Belief Model and the socioecological model as guides, focus groups and interviews were conducted with Black college men (n = 35) and Black college females (n = 25) at a Historically Black College and University in the Southern United States. Participants provided responses to questions on what impacts their health behaviors and whose health they influence. Results indicate that Black college men believed Black peer women influence decisions they make regarding their diet, physical activity, and general health behaviors. However, Black college women believe they only influenced physical activity and sexual health in Black college men. While they understood they had some influence on their health, the women were unsure if they had long-term influence. These findings highlight the need for programming that informs young Black women on the important role they play in the health of men in their lives, particularly young Black men. These findings also highlight the need for peer health educator training to cross-train educators on health issues of all gender groups.