SMC Spain

SMC Spain

SMC Spain
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Children and heat: how rising temperatures affect them and how to adapt their environment to climate change

Children will suffer more from the climate crisis than their grandparents. Fifty-two per cent of people born in 2020 will experience unprecedented heat waves throughout their lives, compared to 16 per cent of those born in 1960. This was calculated by a study published in Nature last month, assuming that temperatures rise 1.5 °C above pre-industrial levels. In this article, we analyse the profile of children who already suffer from heat in our country and explain how to adapt their environments to extreme temperatures. 

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A factor related to the atmosphere could influence the increase in the severity of droughts

Atmospheric evaporative demand is a measure of the atmosphere's ability to extract moisture from the soil and influences the availability of water on the Earth's surface. An international team has analysed global drought data from 1901 to 2022 and found that this demand has contributed to a 40% increase in drought severity since 1981. Furthermore, this trend is accelerating and will most likely continue due to climate change, according to the authors. The results are published in the journal Nature.

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A macro study examines how other species and climate change influence the geographical distribution of brown bears

An international research project involving Spanish participation has analysed the distribution of brown bears in Europe and Turkey. To do this, the team studied more than three million locations belonging to some 3,000 bears, with data from 14 European and Turkish subpopulations in very different environments. The main conclusion is that bears occupy areas where the species that form part of their diet are distributed. The study, published in Global Change Biology, shows that the influence of climate change on these species also has an impact on the distribution of bears.

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Parents' intuition helps anticipate the severity of illness in hospitalised children

A study conducted in Australia analysed nearly 75,000 cases of paediatric patients who had been admitted to hospital or attended the emergency department. When a parent or carer expressed concern that the child was getting worse, they were more likely to end up being admitted to the ICU or requiring mechanical ventilation. According to the authors, who published their findings in The Lancet Child & Adolescent Health, this intuition "is a resource that can help doctors and may work better than some current systems based solely on vital signs".

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An article suggests that very early childhood factors may contribute to increased anxiety in adolescents

The number of adolescents with anxiety problems seems to be increasing, especially in developed countries. An opinion article published in the journal Science proposes that maternal stress, quality of care and environmental conditions in the early years, together with current social and technological changes, may contribute to explaining this trend. 

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Blood lead levels, even below the permitted limit, are associated with poorer school performance in children

Lead exposure in children can affect their neurodevelopment. In the United States, the maximum blood concentration limit for this metal was lowered to 3.5 μg/dL (micrograms per decilitre) in 2021, down from 10 μg/dL in 2012. Now, a study has analysed data from more than 300,000 children in Iowa and found an association between higher concentrations and poorer school performance in reading and maths, even below the 3.5 μg/dL limit, prompting the researchers to reconsider this figure. The results are published in the journal JAMA Network Open.

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The economic cost of some invasive species may be 1600% higher than previously estimated

A study published in Nature Ecology & Evolution concludes that the global economic cost of invasive species may be, in the case of some of them, more than 1,600% higher than previously estimated. By region, the highest costs were recorded in Europe, and by species, invasive plants generated the greatest impacts. According to the authors, these results - based on data from 162 species - could help countries to plan cost-effective management. 

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A study shows the potential of large language models to detect signs of depression and suicide in patients

Large language models—artificial intelligence systems based on deep learning—could be useful in detecting mental health risks such as depression and suicide risk in narrative tests of patients undergoing psychiatric treatment. This is one of the conclusions of research published in JAMA Network Open, which also shows the potential of embeddings — a natural language processing technique that converts human language into mathematical vectors — to achieve the same end.

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