Acoso escolar en la zona metropolitana de Guadalajara, México: prevalencia y factores asociados

This paper seeks to determine the prevalence of victims of school bullying among youth enrolled in public secondary schools in the metropolitan area of Guadalajara, Mexico and to identify the factors associated with being a victim of bullying in the period 2009-2011. An analytic cross-sectional study was carried out. A multistage probability sampling was designed for the public secondary schools, in which 1,706 students between 11 and 16 years old were studied. A questionnare with four sections was applied in order to identify victims of bullying. A logistic regression model was then used to measure the association between the factors analyzed and being a victim of bullying. The prevalence of school bullying was 17.6% (95% CI 15.8; 19.5). Personal factors, such as the feeling of not being accepted by peers or not spending much time with friends, were the factors with the strongest statistically significant association with being a victim of bullying.Este estudio tiene como objetivos determinar la prevalencia de víctimas de acoso escolar en alumnos de escuelas secundarias públicas de la zona metropolitana de Guadalajara, México, e identificar factores asociados al hecho de ser víctima en el período2009-2011. Se realizó un estudio de tipo transversal analítico. Se diseñó una muestra probabilística polietápica de escuelas secundarias públicas y se estudiaron 1.706 alumnos entre 11 y 16 años. Se aplicó un instrumento con cuatro apartados que permitió identificar a las víctimas de acoso y se utilizó un modelo de regresión logística para medirla asociación entre los factores analizados y el ser víctima de acoso. La prevalencia de acoso escolar fue del 17,6% (IC95% 15,8; 19,5). Factores de carácter personal, como sentir que no es aceptado por el grupo o no pasar mucho tiempo con amigos, fueron los que tuvieron una asociación más fuerte y estadísticamente significativa con el hecho de ser víctima de acoso en la escuela

Ansiedad y Depresión como Indicadores de Calidad de Vida en Adultos Mayores

La ansiedad y la depresión pueden ser consideradas como indicadores o síntomas que reflejan la calidad de vida, modificando la  percepción y significado que el adulto mayor tiene  de su vida. El objetivo fue evaluar la ansiedad y  depresión como indicadores relevantes de la calidad de vida. Se evaluaron a 333 adultos mayores con los cuestionarios: de Ansiedad Cognitivo-Somática y WHOQOL-BREF.  Se encontró que el 83.5% de  333 adultos mayores señalaron algunas condiciones de la vivienda inadecuadas,  30.6% expresaron sentimientos negativos por su vivienda, 60.1% percibieron su calidad de vida como buena, 85.8%  señalaban que las  dimensiones:  ambiente  y relaciones sociales inadecuadas,  11.1%  mostraron una ansiedad de tipo cognitiva, las mujeres tuvieron  altos puntajes de depresión 70.0% rasgo y 67.7% estado,  la edad  fue  determinante para la  buena calidad de vida. Se detectaron al sexo, edad y depresión como indicadores significativos asociados a la calidad de vida. Palabras Claves: Calidad de Vida; Depresión; Ansiedad; vivienda; adultos mayores

Competencia clínica de médicos de seguridad social guatemaltecos para manejar hepatitis virales en atención primaria

Objetivo Medir la competencia clínica para el diagnóstico y manejo de hepatitis virales en médicos de primer nivel de atención a la salud.Metodología Se efectuó un estudio transversal en el que usando un instrumento previamente validado se midió la competencia y posteriormente se comparó entre médicos adscritos a diversas unidades médicas de atención primaria a la salud (UMAPS) del Instituto Guatemalteco de Seguridad Social (IGSS). La información fue analizada mediante estadística descriptiva e inferencial no paramétrica. Se evaluaron 104 médicos de 5 UMAPS del IGSS.Resultados Se encontró un nivel muy bajo de competencia clínica para el diagnóstico y tratamiento de las hepatitis virales, dentro de un intervalo de 9 a 62 puntos obtenidos en el instrumento que tiene un valor máximo teórico de 88, sin encontrar diferencias estadísticamente significativas entre UMAPS. Conclusiones Se requiere educación continua en los médicos de las UMAPS del IGSS para mejorar sus competencias en hepatitis virales.Objective To measure the clinical competence for diagnosis and treatment of human viral hepatitis in primary health care physicians.Methodology Cross-sectional study in which a previously validated instrument to measure competences was used, and subsequent comparison between physicians at various primary health care units (PHCT) from the Guatemalan Institute of Social Security (GISS). This information was analyzed using descriptive and non-parametrical statistics. 104 physicians, from 5 PHCT ascribed to GISS were analyzed.Results A low level of clinical competence for diagnosis and treatment of human viral hepatitis in this physicians group was found, within a range of 9 to 62 points obtained through an instrument with a maximum theoretical value of 88; no significant statistical difference between PHCT was found.Conclusions PHCT physicians from require continuing education to improve their clinical competence on human viral hepatitis

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

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

Mapping density, diversity and species-richness of the Amazon tree flora

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution

The global abundance of tree palms

Aim Palms are an iconic, diverse and often abundant component of tropical ecosystems that provide many ecosystem services. Being monocots, tree palms are evolutionarily, morphologically and physiologically distinct from other trees, and these differences have important consequences for ecosystem services (e.g., carbon sequestration and storage) and in terms of responses to climate change. We quantified global patterns of tree palm relative abundance to help improve understanding of tropical forests and reduce uncertainty about these ecosystems under climate change. Location Tropical and subtropical moist forests. Time period Current. Major taxa studied Palms (Arecaceae). Methods We assembled a pantropical dataset of 2,548 forest plots (covering 1,191 ha) and quantified tree palm (i.e., ≥10 cm diameter at breast height) abundance relative to co‐occurring non‐palm trees. We compared the relative abundance of tree palms across biogeographical realms and tested for associations with palaeoclimate stability, current climate, edaphic conditions and metrics of forest structure. Results On average, the relative abundance of tree palms was more than five times larger between Neotropical locations and other biogeographical realms. Tree palms were absent in most locations outside the Neotropics but present in >80% of Neotropical locations. The relative abundance of tree palms was more strongly associated with local conditions (e.g., higher mean annual precipitation, lower soil fertility, shallower water table and lower plot mean wood density) than metrics of long‐term climate stability. Life‐form diversity also influenced the patterns; palm assemblages outside the Neotropics comprise many non‐tree (e.g., climbing) palms. Finally, we show that tree palms can influence estimates of above‐ground biomass, but the magnitude and direction of the effect require additional work. Conclusions Tree palms are not only quintessentially tropical, but they are also overwhelmingly Neotropical. Future work to understand the contributions of tree palms to biomass estimates and carbon cycling will be particularly crucial in Neotropical forests

Tropical tree growth driven by dry-season climate variability

Interannual variability in the global land carbon sink is strongly related to variations in tropical temperature and rainfall. This association suggests an important role for moisture-driven fluctuations in tropical vegetation productivity, but empirical evidence to quantify the responsible ecological processes is missing. Such evidence can be obtained from tree-ring data that quantify variability in a major vegetation productivity component: woody biomass growth. Here we compile a pantropical tree-ring network to show that annual woody biomass growth increases primarily with dry-season precipitation and decreases with dry-season maximum temperature. The strength of these dry-season climate responses varies among sites, as reflected in four robust and distinct climate response groups of tropical tree growth derived from clustering. Using cluster and regression analyses, we find that dry-season climate responses are amplified in regions that are drier, hotter and more climatically variable. These amplification patterns suggest that projected global warming will probably aggravate drought-induced declines in annual tropical vegetation productivity. Our study reveals a previously underappreciated role of dry-season climate variability in driving the dynamics of tropical vegetation productivity and consequently in influencing the land carbon sink.We acknowledge financial support to the co-authors provided by Agencia Nacional de Promoción Científica y Tecnológica, Argentina (PICT 2014-2797) to M.E.F.; Alberta Mennega Stichting to P.G.; BBVA Foundation to H.A.M. and J.J.C.; Belspo BRAIN project: BR/143/A3/HERBAXYLAREDD to H.B.; Confederação da Agricultura e Pecuária do Brasil - CNA to C.F.; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES, Brazil (PDSE 15011/13-5 to M.A.P.; 88881.135931/2016-01 to C.F.; 88887.199858/2018-00 to G.A.-P.; Finance Code 001 for all Brazilian collaborators); Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq, Brazil (ENV 42 to O.D.; 1009/4785031-2 to G.C.; 311874/2017-7 to J.S.); CONACYT-CB-2016-283134 to J.V.-D.; CONICET to F.A.R.; CUOMO FOUNDATION (IPCC scholarship) to M.M.; Deutsche Forschungsgemeinschaft - DFG (BR 1895/15-1 to A.B.; BR 1895/23-1 to A.B.; BR 1895/29-1 to A.B.; BR 1895/24-1 to M.M.); DGD-RMCA PilotMAB to B.T.; Dirección General de Asuntos del Personal Académico of the UNAM (Mexico) to R.B.; Elsa-Neumann-Scholarship of the Federal State of Berlin to F.S.; EMBRAPA Brazilian Agricultural Research Corporation to C.F.; Equatorian Dirección de Investigación UNL (21-DI-FARNR-2019) to D.P.-C.; São Paulo Research Foundation FAPESP (2009/53951-7 to M.T.-F.; 2012/50457-4 to G.C.; 2018/01847‐0 to P.G.; 2018/24514-7 to J.R.V.A.; 2019/08783-0 to G.M.L.; 2019/27110-7 to C.F.); FAPESP-NERC 18/50080-4 to G.C.; FAPITEC/SE/FUNTEC no. 01/2011 to M.A.P.; Fulbright Fellowship to B.J.E.; German Academic Exchange Service (DAAD) to M.I. and M.R.; German Ministry of Education, Science, Research, and Technology (FRG 0339638) to O.D.; ICRAF through the Forests, Trees, and Agroforestry research programme of the CGIAR to M.M.; Inter-American Institute for Global Change Research (IAI-SGP-CRA 2047) to J.V.-D.; International Foundation for Science (D/5466-1) to M.I.; Lamont Climate Center to B.M.B.; Miquelfonds to P.G.; National Geographic Global Exploration Fund (GEFNE80-13) to I.R.; USA’s National Science Foundation NSF (IBN-9801287 to A.J.L.; GER 9553623 and a postdoctoral fellowship to B.J.E.); NSF P2C2 (AGS-1501321) to A.C.B., D.G.-S. and G.A.-P.; NSF-FAPESP PIRE 2017/50085-3 to M.T.-F., G.C. and G.M.L.; NUFFIC-NICHE programme (HEART project) to B.K., E.M., J.H.S., J.N. and R. Vinya; Peru ‘s CONCYTEC and World Bank (043-2019-FONDECYT-BM-INC.INV.) to J.G.I.; Peru’s Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT-BM-INC.INV 039-2019) to E.J.R.-R. and M.E.F.; Programa Bosques Andinos - HELVETAS Swiss Intercooperation to M.E.F.; Programa Nacional de Becas y Crédito Educativo - PRONABEC to J.G.I.; Schlumberger Foundation Faculty for the Future to J.N.; Sigma Xi to A.J.L.; Smithsonian Tropical Research Institute to R. Alfaro-Sánchez.; Spanish Ministry of Foreign Affairs AECID (11-CAP2-1730) to H.A.M. and J.J.C.; UK NERC grant NE/K01353X/1 to E.G.Peer reviewe