Intensive care unit carbon footprint: A bibliometric and document content analysis.

GI multisociety strategic plan on environmental sustainability.

The potential benefits of dietary shift in China: Synergies among acceptability, health, and environmental sustainability

Objective:This study evaluated the independent and combined environmental impacts of the consumption of beef and ultra-processed foods in Brazil.Design:Cross-sectional study.Setting:Brazil.Participants:We used food purchases data from a national household budget survey conducted between July 2017 and July 2018, representing all Brazilian households. Food purchases were converted into energy, carbon footprints and water footprints. Multiple linear regression models were used to assess the association between quintiles of beef and ultra-processed foods in total energy purchases and the environmental footprints, controlling for sociodemographic variables.Results:Both beef and ultra-processed foods had a significant linear association with carbon and water footprints (P < 0·01) in crude and adjusted models. In the crude upper quintile of beef purchases, carbon and water footprints were 47·7 % and 30·8 % higher, respectively, compared to the lower quintile. The upper quintile of ultra-processed food purchases showed carbon and water footprints 14·4 % and 22·8 % higher, respectively, than the lower quintile. The greatest reduction in environmental footprints would occur when both beef and ultra-processed food purchases are decreased, resulting in a 21·1 % reduction in carbon footprint and a 20·0 % reduction in water footprint.Conclusions:Although the environmental footprints associated with beef consumption are higher, dietary patterns with lower consumption of beef and ultra-processed foods combined showed the greatest reduction in carbon and water footprints in Brazil. The high consumption of beef and ultra-processed foods is harmful to human health, as well as to the environment; thus, their reduction is beneficial to both.

Burnout Syndrome in ICU Caregivers: Time to Extinguish!

What's in this Issue

nsanoğu ihtiyaçlarını karşılamada daima doğal kaynaklardan faydalanmıştır. Bugün nüfusun artmasıyla birlikte, bireylerin bilinçsizceve sürdürülebilirlikten uzak tüketim anlayışı nedeniyle dünyamız üzerindeki doğal kaynaklar azalamakta ve yakın bir gelecektetükeneceği varsayılmaktadır. Bireyin mevcut tüketim alışkanlıkları ile yaşamına bu şekilde devam etmesi halinde, gelecekte dünya gibikaç gezegene ihtiyaç duyacağının belirlenmesi önemlidir. Bu ihtiyacı belirlemede karşımıza ekolojik ayak izi kavramı çıkmaktadır. Buçalışmada, Adıyaman İl Tarım ve Orman Müdürlüğü çalışanlarının bilinç ve tüketim alışkanlıklarına bağlı olarak ekolojik ayak izlerihesaplanmış ve değerlendirilmiştir. Araştırmada veri toplama aracı olarak web-tabanlı “Ekolojik Ayak İzi Hesaplama Anketi”kullanılmıştır. Verilerin analizinde; ortalama, standart sapma gibi betimsel istatistikler kullanılmıştır. Hesaplamalar sonucunda, teknikve idari personellerin ekolojik ayak izi ortalaması 2.37 kha kişi-1, karbon ayak izi ortalaması 14.52 ton kişi-1 ve sebep olduklarıbiyokapasite açığı -0.93 kha kişi-1 olarak belirlenmiştir. Bu sonuçlara göre sürdürülebilir bir yaşam için Adıyaman İl Tarım ve OrmanMüdürlüğü çalışanlarına yaklaşık olarak 1.41 dünya gerekmektedir

Using the Systems Engineering Initiative for Patient Safety (SEIPS) model to describe critical care nursing during the SARS-CoV-2 pandemic (2020).

End-of-Life Decision Making, Organ Donation, and Critical Care Nurses

Critical illness is an exquisitely time-sensitive condition and follows a disease continuum, which always starts before admission to the intensive care unit (ICU), in the majority of cases even before hospital admission. Reflecting the common practice in many healthcare systems that critical care is mainly provided in the confined areas of an ICU, any delay in ICU admission of critically ill patients is associated with increased morbidity and mortality. However, if appropriate critical care interventions are provided before ICU admission, this association is not observed. Emergency critical care refers to critical care provided outside of the ICU. It encompasses the delivery of critical care interventions to and monitoring of patients at the place and time closest to the onset of critical illness as well as during transfer to the ICU. Thus, emergency critical care covers the most time-sensitive phase of critical illness and constitutes one missing link in the chain of survival of the critically ill patient. Emergency critical care is delivered whenever and wherever critical illness occurs such as in the pre-hospital setting, before and during inter-hospital transfers of critically ill patients, in the emergency department, in the operating theatres, and on hospital wards. By closing the management gap between onset of critical illness and ICU admission, emergency critical care improves patient safety and can avoid early deaths, reverse mild-to-moderate critical illness, avoid ICU admission, attenuate the severity of organ dysfunction, shorten ICU length of stay, and reduce short- and long-term mortality of critically ill patients. Future research is needed to identify effective models to implement emergency critical care systems in different healthcare systems.

This study was conducted to examine the impact of changes in annual mean temperature, annual mean precipitation, carbon footprint, ecological footprint, and area harvested on cereal crop production in East Africa. The study was conducted in a panel cointegration framework using annual time series from 1980 to 2018 for five East African countries i.e., Ethiopia, Kenya, Rwanda, Tanzania, and Uganda. Unit root tests were performed using LLC, IPS, ADF-Fisher, and PP-Fisher tests, while panel co-integration tests were performed using Pedroni residual, Kao residual, and Johansen Fisher panel co-integration tests. Long-run coefficients were estimated using the Pooled Mean Group/Autoregressive Distributed Lag, Panel Fully-modified OLS, and Panel Dynamic OLS models. Empirical findings from the three models revealed that increases in annual mean temperature have adverse effects on cereal crop production, while increases in annual mean precipitation, carbon footprint, ecological footprint, and area harvested have positive effects on cereal crop production in East Africa. Based on these findings, it can be suggested that prioritization of climate change adaptation strategies in the region such as the development of drought and heat-resistant crop varieties, changing in planting dates, and investment in irrigation technologies to boost cereal crops productivity could play a role in minimizing the adverse effects of changes in climate factors.

PurposeThis paper investigates the (a)symmetric effects of financial development in the presence of economic growth, energy consumption, urbanization and foreign direct investment on environmental quality of South Africa between 1980 and 2017.Design/methodology/approachA robust measure of financial development is generated using banking institutions and non-banking institutions market-based financial development indicators, while environmental quality is measured using carbon footprint, non-carbon footprint and ecological footprint. The objectives of the study are captured using linear and non-linear autoregressive distributed lag.FindingsThe result from the symmetric analysis suggests that financial development stimulates carbon footprint and ecological footprint in the short run; however, financial development abates non-carbon footprint. In the long run, financial development has a significant negative effect on carbon footprint and ecological footprint. However, the asymmetric analysis established strong asymmetric effect in the short run, while no asymmetric effect is found in the long run. The short run asymmetric analysis reveals that positive shock in financial development increases carbon footprint and ecological footprint; however, positive changes in financial development reduce non-carbon footprint. Negative shocks in financial development, on the other hand, have a positive impact carbon footprint, non-carbon footprint and ecological footprint.Practical implicationsThe study's outcome implies that the concept of “more finance, more growth” could also be applied to “more finance, better environment” in South Africa. The study offers vital policy suggestions for the realization of sustainable development in South Africa.Originality/valueThis empiric adds to the body of knowledge on the influence of financial development on various components of environmental quality (carbon footprint, non-carbon footprint and ecological footprint) in South Africa.

Psychiatric management of Patients in intensive care units.

This chapter empirically examines the (asymmetric) impacts of economic complexity on Turkey's Ecological and Carbon Footprints by employing the augmented nonlinear autoregressive distributed lag (augmented NADL) method for the 1981-2017 period. This chapter's findings are as follows. First, nonlinear cointegration exists between economic complexity and environmental damage. Second, economic complexity has a significant long run asymmetric impact on Turkey's Ecological and Carbon Footprints. Third, in the long run, positive developments in economic complexity increase environmental damage in Turkey, whereas the impact of negative developments is insignificant on Turkey's environmental deterioration. Fourth, significant short run asymmetries regarding economic complexity's effect exist only in the Ecological Footprint model. Lastly, in the short run, positive developments in economic complexity decrease environmental damage, while negative developments intensify it. In line with the empirical findings, some policy recommendations are made.

To assess the impact of delay in emergency department (ED) on outcome of critically ill patients admitted to the medical intensive care unit (MICU). Outcome was defined as hospital mortality and as health-related quality of life (HRQoL) at 6 months after intensive care assessed by the 15D measure. The 15D is a generic, 15-dimensional, standardized measure of HRQoL. We hypothesized that prolonged stay in the ED is related to worse outcome. A prospective follow-up cohort study in university hospital. All consecutive 1675 patients admitted to the MICU between July 2002 and June 2004. The 15D questionnaire was mailed to all patients alive at 6 months after admission. Of all MICU patients, 64% were admitted from ED. The mean length of stay in the ED was 6.2 h (95%CI 5.9-6.5 h). The hospital mortality rate was 24.4% (20.0% in the ED vs. 33.0% in the non-ED cohort, P < 0.001) and it was associated with higher age and degree of physiological derangement at admission. Neither the length of ED stay was associated with hospital mortality (P = 0.82) nor with HRQoL at 6 months after MICU admission (P = 0.34). Altogether, HRQoL at 6 months was significantly lower compared with the age- and sex-matched general population (P < 0.001). In a university hospital, the length of ED stay was not associated with the outcome of critically ill medical patients. However, we feel that the effect of ED treatment and delay on outcome and outcome prediction in the critically ill patients deserves further evaluation.

The enormous ensembles of energy resources have elevated Sub‐Saharan Africa (SSA) to a prominent position in the world energy scene as a leading region in forming a sustainable energy future. However, over half of the population in the region lives without electricity and less than 20% of the population has access to clean fuels. The excessive reliance on fossil fuels such as coal, kerosene, and solid biomass has implications for environmental outcomes in SSA. Nevertheless, the environmental impact of energy poverty from the SSA perspective remains an under‐explored terrain in the research landscape. In this context, to address the pressing challenges of energy poverty and environmental sustainability, this study aims to explore the threat energy poverty poses on the ecological footprints, focusing on “land‐use, carbon footprint, forestry resources, and fishing ground” across 35 SSA countries using disaggregated data covering the period 2000 and 2021. This study employs the novel Method of the Moments Quantile Regression following the Stochastic Impacts by Regression on Population, Affluence and Technology model as the reference theoretical and analytical framework. The findings disclose heterogeneous effects of rural and urban energy poverty on ecological footprint items. When comparing the magnitudes, we found that rural energy poverty has a more detrimental impact on land‐use than urban energy poverty. Energy poverty is found to have no reliable power to explain the variation in carbon footprint and fishing ground. In the meantime, urban energy poverty exerts a positive effect on forestry resource sustainability. Surprisingly, population density is found to have a significant and desirable impact on land‐use. Based on the obtained results, numerous policy suggestions have been discussed along with some prospects for future research.