Family responses to resource scarcity.
Ontology highlight
ABSTRACT: Supplementary information
The online version contains supplementary material available at 10.1007/s11747-022-00882-7.
SUBMITTER: Hosany ARS
PROVIDER: S-EPMC9245874 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:A recent line of research investigates the negative cognitive effects - known as the scarcity mindset - that arise when people face a lack of resources. We expand on this research and show that these cognitive effects are present among Swedish schoolteachers facing a scarcity of time and social resources at work. From an initial interview study we developed novel survey scales to measure teachers' subjective assessments of available resources and the extent of their scarcity mindset. We then related resource scarcity of time and social resources to the scarcity mindset using structural equation modeling (SEM) analysis in a survey study with a sample of Swedish schoolteachers. This research provides valuable insights for addressing resource constrained work environments in schools and contributes to the broader psychological research on cognitive effects resulting from resource scarcity.
| S-EPMC10822981 | biostudies-literature
Project description:The current economic paradigm, which is based on increasing human population, economic development, and standard of living, is no longer compatible with the biophysical limits of the finite Earth. Failure to recover from the economic crash of 2008 is not due just to inadequate fiscal and monetary policies. The continuing global crisis is also due to scarcity of critical resources. Our macroecological studies highlight the role in the economy of energy and natural resources: oil, gas, water, arable land, metals, rare earths, fertilizers, fisheries, and wood. As the modern industrial technological-informational economy expanded in recent decades, it grew by consuming the Earth's natural resources at unsustainable rates. Correlations between per capita GDP and per capita consumption of energy and other resources across nations and over time demonstrate how economic growth and development depend on "nature's capital". Decades-long trends of decreasing per capita consumption of multiple important commodities indicate that overexploitation has created an unsustainable bubble of population and economy.
| S-EPMC4036828 | biostudies-literature
Project description:ImportanceDuring the COVID-19 pandemic, many US states issued or revised pandemic preparedness plans guiding allocation of critical care resources during crises. State plans vary in the factors used to triage patients and have faced criticism from advocacy groups due to the potential for discrimination.ObjectiveTo analyze the role of comorbidities and long-term prognosis in state triage procedures.Design, setting, and participantsThis cross-sectional study used data gathered from parallel internet searches for state-endorsed pandemic preparedness plans for the 50 US states, District of Columbia, and Puerto Rico (hereafter referred to as states), which were conducted between November 25, 2021, and June 16, 2023. Plans available on June 16, 2023, that provided step-by-step instructions for triaging critically ill patients were categorized for use of comorbidities and prognostication.Main outcomes and measuresPrevalence and contents of lists of comorbidities and their stated function in triage and instructions to predict duration of postdischarge survival.ResultsOverall, 32 state-promulgated pandemic preparedness plans included triage procedures specific enough to guide triage in clinical practice. Twenty of these (63%) included lists of comorbidities that excluded (11 of 20 [55%]) or deprioritized (8 of 20 [40%]) patients during triage; one state's list was formulated to resolve ties between patients with equal triage scores. Most states with triage procedures (21 of 32 [66%]) considered predicted survival beyond hospital discharge. These states proposed different prognostic time horizons; 15 of 21 (71%) were numeric (ranging from 6 months to 5 years after hospital discharge), with the remaining 6 (29%) using descriptive terms, such as long-term.Conclusions and relevanceIn this cross-sectional study of state-promulgated critical care triage policies, most plans restricted access to scarce critical care resources for patients with listed comorbidities and/or for patients with less-than-average expected postdischarge survival. This analysis raises concerns about access to care during a public health crisis for populations with high burdens of chronic illness, such as individuals with disabilities and minoritized racial and ethnic groups.
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Project description:Gut microbiota are significant to the host's nutrition and provide a flexible way for the host to adapt to extreme environments. However, whether gut microbiota help the host to colonize caves, a resource-limited environment, remains unknown. The nonobligate cave frog Oreolalax rhodostigmatus completes its metamorphosis within caves for 3-5 years before foraging outside. Their tadpoles are occasionally removed from the caves by floods and utilize outside resources, providing a contrast to the cave-dwelling population. For both cave and outside tadpoles, the development-related reduction in their growth rate and gut length during prometamorphosis coincided with a shift in their gut microbiota, which was characterized by decreased Lactobacillus and Cellulosilyticum and Proteocatella in the cave and outside individuals, respectively. The proportion of these three genera was significantly higher in the gut microbiota of cave-dwelling individuals compared with those outside. The cave-dwellers' gut microbiota harbored more abundant fibrolytic, glycolytic, and fermentative enzymes and yielded more short-chain fatty acids, potentially benefitting the host's nutrition. Experimentally depriving the animals of food resulted in gut atrophy for the individuals collected outside the cave, but not for those from inside the cave. Imitating food scarcity reproduced some major microbial features (e.g. abundant Proteocatella and fermentative genes) of the field-collected cave individuals, indicating an association between the cave-associated gut microbiota and resource scarcity. Overall, the gut microbiota may reflect the adaptation of O. rhodostigmatus tadpoles to resource-limited environments. This extends our understanding of the role of gut microbiota in the adaptation of animals to extreme environments.
| S-EPMC10811740 | biostudies-literature
Project description:BackgroundOne of the main obstacles for the mainstreaming of religious traditions as tools for the conservation of nature is the limited applicability of research results in this field. We documented two different restrictions implemented by local people (taboos and sacrifices) related to the use of ritual plants in Benin (West Africa) and Gabon (Central Africa).MethodsTo see whether these restrictions reflected plant scarcity from an etic perspective (official threat status) and an emic viewpoint (perceived scarcity by local people), we conducted 102 interviews with traditional healers and adepts of traditional faiths.ResultsWe documented a total of 618 ritual plants, from which 52 species were used in both countries. In Benin, the use of 63 of the 414 ritual plant species was restricted; while in Gabon 23 of the 256 ritual plants were associated with taboos and sacrifices. In Benin, restricted plants were significantly more often officially threatened, perceived as scarce, and actively protected than non-restricted plants. In the more forested and less densely populated Gabon, plants that were perceived as scarce were more often associated to local restrictions than officially threatened species.ConclusionsThese results prove the presence of a form of adaptive management where restrictions are related to resource scarcity and protection of ritual plant species. By providing baseline data on possibly endangered species, we demonstrate how plant use in the context of religious traditions can yield important information for conservation planning.
| S-EPMC4326513 | biostudies-literature
Project description:BackgroundCOVID-19 pandemics has challenged emergency response systems worldwide, with widespread reports of essential services breakdown and collapse of health care structure. A critical element involves essential workforce management since current protocols recommend release from duty for symptomatic individuals, including essential personnel. Testing capacity is also problematic in several countries, where diagnosis demand outnumbers available local testing capacity.PurposeThis work describes a machine learning model derived from hemogram exam data performed in symptomatic patients and how they can be used to predict qRT-PCR test results.MethodsHemogram exams data from 510 symptomatic patients (73 positives and 437 negatives) were used to model and predict qRT-PCR results through Naïve-Bayes algorithms. Different scarcity scenarios were simulated, including symptomatic essential workforce management and absence of diagnostic tests. Adjusts in assumed prior probabilities allow fine-tuning of the model, according to actual prediction context.ResultsProposed models can predict COVID-19 qRT-PCR results in symptomatic individuals with high accuracy, sensitivity and specificity, yielding a 100% sensitivity and 22.6% specificity with a prior of 0.9999; 76.7% for both sensitivity and specificity with a prior of 0.2933; and 0% sensitivity and 100% specificity with a prior of 0.001. Regarding background scarcity context, resources allocation can be significantly improved when model-based patient selection is observed, compared to random choice.ConclusionsMachine learning models can be derived from widely available, quick, and inexpensive exam data in order to predict qRT-PCR results used in COVID-19 diagnosis. These models can be used to assist strategic decision-making in resource scarcity scenarios, including personnel shortage, lack of medical resources, and testing insufficiency.
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Project description:Humanitarian social enterprises (HSEs) are facing mounting pressure to incorporate social innovation into their practice. This study thus identifies how HSEs leverage organizational capabilities toward developing social innovation. Specifically, it considers how resource scarcity and operating circumstances affect the capabilities used by HSEs for developing social innovation, using a longitudinal case study approach with qualitative data from 12 hunger-relief HSEs operating in the United States. Based on 59 interviews with 31 managers and directors and related documents, several propositions are posited. The findings suggest that resource availability (i.e., scarcity vs. abundance) leads some HSEs to focus on developing social innovation using their collaborative capabilities, while others leverage their absorptive capacity. Further, HSEs adjust their approach to developing social innovation based on whether they are operating in ordinary circumstances (i.e., before the COVID pandemic) or extraordinary ones (i.e., during the COVID pandemic). Interestingly, the findings suggest that the organizational capabilities used by HSEs are adjusted as these enterprises become more familiar with extraordinary operating circumstances. For example, at the onset of the COVID-19 pandemic, resource-scarce HSEs focused on parallel bricolage to develop social innovation. Subsequently, they focused on selective bricolage. The findings offer novel insights by relating the social innovation of social enterprises to crisis management.Supplementary informationThe online version contains supplementary material available at 10.1007/s10551-021-05014-9.
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Project description:Synechococcus sp. WH 8102 is a motile marine cyanobacterium isolated originally from the Sargasso Sea. To test the response of this organism to cadmium (Cd), generally considered a toxin, cultures were grown in a matrix of high and low zinc (Zn) and phosphate (PO4 (3-)) and were then exposed to an addition of 4.4 pM free Cd(2+) at mid-log phase and harvested after 24 h. Whereas Zn and PO4 (3-) had little effect on overall growth rates, in the final 24 h of the experiment three growth effects were noticed: (i) low PO4 (3-) treatments showed increased growth rates relative to high PO4 (3-) treatments, (ii) the Zn/high PO4 (3-) treatment appeared to enter stationary phase, and (iii) Cd increased growth rates further in both the low PO4 (3-) and Zn treatments. Global proteomic analysis revealed that: (i) Zn appeared to be critical to the PO4 (3-) response in this organism, (ii) bacterial metallothionein (SmtA) appears correlated with PO4 (3-) stress-associated proteins, (iii) Cd has the greatest influence on the proteome at low PO4 (3-) and Zn, (iv) Zn buffered the effects of Cd, and (v) in the presence of both replete PO4 (3-) and added Cd the proteome showed little response to the presence of Zn. Similar trends in alkaline phosphate (ALP) and SmtA suggest the possibility of a Zn supply system to provide Zn to ALP that involves SmtA. In addition, proteome results were consistent with a previous transcriptome study of PO4 (3-) stress (with replete Zn) in this organism, including the greater relative abundance of ALP (PhoA), ABC phosphate binding protein (PstS) and other proteins. Yet with no Zn in this proteome experiment the PO4 (3-) response was quite different including the greater relative abundance of five hypothetical proteins with no increase in PhoA or PstS, suggesting that Zn nutritional levels are connected to the PO4 (3-) response in this cyanobacterium. Alternate ALP PhoX (Ca) was found to be a low abundance protein, suggesting that PhoA (Zn, Mg) may be more environmentally relevant than PhoX.
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Project description:Hospitals have severely curtailed the performance of nonurgent surgical procedures in anticipation of the need to redeploy healthcare resources to meet the projected massive medical needs of patients with coronavirus disease 2019 (COVID-19). Surgical treatment of non-COVID-19 related disease during this period, however, still remains necessary. The decision to proceed with medically necessary, time-sensitive (MeNTS) procedures in the setting of the COVID-19 pandemic requires incorporation of factors (resource limitations, COVID-19 transmission risk to providers and patients) heretofore not overtly considered by surgeons in the already complicated processes of clinical judgment and shared decision-making. We describe a scoring system that systematically integrates these factors to facilitate decision-making and triage for MeNTS procedures, and appropriately weighs individual patient risks with the ethical necessity of optimizing public health concerns. This approach is applicable across a broad range of hospital settings (academic and community, urban and rural) in the midst of the pandemic and may be able to inform case triage as operating room capacity resumes once the acute phase of the pandemic subsides.
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