Assessment of nutritional risk among in-school adolescents from Cantabria

Seminario “Promoción de hábitos saludables en adolescentes desde el ámbito educativo”.Objetivo: Evaluar el riesgo nutricional, por edad y sexo, que presentan los adolescentes escolarizados en la Comunidad Autónoma de Cantabria. Sujetos: Se realizó un estudio transversal, analizando una muestra de 1101 adolescentes, de los que 51,6% eran varones y 48,4% fueron mujeres de edades comprendidas entre los 10 y los 17 años, escolarizados en centros de enseñanza pública, mediante el cuestionario Krece Plus. Resultados: Se observa un elevado porcentaje de ado- lescentes que presentan un riesgo nutricional elevado (35%). Los varones presentan un riesgo nutricional alto en un porcentaje ligeramente superior a las mujeres (37,8 % vs 32,1%). Además, el riesgo nutricional alto sufre un notable incremento a medida que la edad de los jóvenes aumenta. Se aprecian diferencias estadísticamente signi- ficativas tanto en los grupos de edad de los varones (p = 0,024), de las mujeres (p < 0,001) como en el grupo global (p = 0,001). En los tres casos, la distribución del riego nutricional en los grupos de menor edad es muy similar (entre 35,2 y 35,8% en los h , entre 27,9 y 29,7% en las m , y entre 31,7 y 32,7% en el grupo total). Mientras que en el grupo de mayor edad estos valores prácticamente se duplican (57,1% en los h , 69,0% en las m , y 62,2 % en el grupo total). Conclusión: Los resultados obtenidos muestran una realidad preocupante debido, principalmente, al elevado porcentaje de adolescentes que presentan un riesgo nutri- cional elevado. Siendo los varones y los adolescentes de mayor edad los sectores en los que este riesgo nutricional elevado es superior.Objective: To analyse nutritional risk, by age and sex, among primary and secondary education adolescents from Cantabria. Methodology: a cross-sectional study was carried out, analysing a sample of 1101 adolescents: 568 (51.6%) were men and 533 (48.4%) were women, aged 12 to 17, attending 16 different primary and secondary education centres in Cantabria, by means of a Krece Plus questionnaire. Results: A high percentage of adolescents with a high nutritional risk (35%) can be observed. Men show a high nutritional risk slightly higher than women (37.8% h vs 32.1% m ). Moreover, the high nutritional risk expe riences a notable increase as young people get older. Significant statistical differences can be seen both in male and female groups, and as a global group. In all three cases, the nutritional risk distribution in the youngest group is very similar (35.2-35.8% in h , 27.9-29.7% in m , 31.7-32.7% in the global group); whereas in elder adolescents, those values are practically doubled (57.1% in h , 69.0% in m , y 62.2% in the global group). Conclusions: Results are alarming mainly given the high percentage of adolescents with a high nutritional risk. Men and older adolescents are the groups in which high nutritional risk is more evident

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Transverse momentum spectra of charged particles in proton–proton collisions at √s=900 GeV with ALICE at the LHC

The inclusive charged particle transverse momentum distribution is measured in proton–proton collisions at s=900 GeV at the LHC using the ALICE detector. The measurement is performed in the central pseudorapidity region (|η|<0.8) over the transverse momentum range 0.15<pT<10 GeV/c. The correlation between transverse momentum and particle multiplicity is also studied. Results are presented for inelastic (INEL) and non-single-diffractive (NSD) events. The average transverse momentum for |η|<0.8 is 〈pT〉INEL=0.483±0.001 (stat.)±0.007 (syst.) GeV/c and 〈pT〉NSD=0.489±0.001 (stat.)±0.007 (syst.) GeV/c, respectively. The data exhibit a slightly larger 〈pT〉 than measurements in wider pseudorapidity intervals. The results are compared to simulations with the Monte Carlo event generators PYTHIA and PHOJET

Suppression of charged particle production at large transverse momentum in central Pb–Pb collisions at √sNN=2.76 TeV

Inclusive transverse momentum spectra of primary charged particles in Pb–Pb collisions at √sNN=2.76 TeV have been measured by the ALICE Collaboration at the LHC. The data are presented for central and peripheral collisions, corresponding to 0–5% and 70–80% of the hadronic Pb–Pb cross section. The measured charged particle spectra in |η|<0.8 and 0.3<pT<20 GeV/c are compared to the expectation in pp collisions at the same sNN, scaled by the number of underlying nucleon–nucleon collisions. The comparison is expressed in terms of the nuclear modification factor RAA. The result indicates only weak medium effects (RAA≈0.7) in peripheral collisions. In central collisions, RAA reaches a minimum of about 0.14 at pT=6–7 GeV/c and increases significantly at larger pT. The measured suppression of high-pT particles is stronger than that observed at lower collision energies, indicating that a very dense medium is formed in central Pb–Pb collisions at the LHC

Two-pion Bose–Einstein correlations in central Pb–Pb collisions at √sNN=2.76 TeV

The first measurement of two-pion Bose–Einstein correlations in central Pb–Pb collisions at √sNN=2.76 TeV at the Large Hadron Collider is presented. We observe a growing trend with energy now not only for the longitudinal and the outward but also for the sideward pion source radius. The pion homogeneity volume and the decoupling time are significantly larger than those measured at RHIC

Rapidity and transverse momentum dependence of inclusive J/ψ production in pp collisions at √s=7 TeV

The ALICE experiment at the LHC has studied inclusive J/ψ production at central and forward rapidities in pp collisions at √s=7 TeV. In this Letter, we report on the first results obtained detecting the J/ψ through the dilepton decay into e+e− and μ+μ− pairs in the rapidity ranges |y|<0.9 and 2.5<y<4, respectively, and with acceptance down to zero pT. In the dielectron channel the analysis was carried out on a data sample corresponding to an integrated luminosity Lint=5.6 nb−1 and the number of signal events is NJ/ψ=352±32(stat.)±28(syst.); the corresponding figures in the dimuon channel are Lint=15.6 nb−1 and NJ/ψ=1924±77(stat.)±144(syst.). The measured production cross sections are σJ/ψ(|y|<0.9)=10.7±1.0(stat.)±1.6(syst.)−2.3+1.6(syst.pol.)μb and σJ/ψ(2.5<y<4)=6.31±0.25(stat.)±0.76(syst.)−1.96+0.95(syst.pol.)μb. The differential cross sections, in transverse momentum and rapidity, of the J/ψ were also measured