Project: Center for Diabetes and Metabolism [Centro de Diabetes y Metabolismo: CeDiMet], a collaborative dream comes true

Reynosa urban area has 690,000 inhabitants (384,000 adults \u3e20 years old), 35% moved from other states. The use of cell phones is in 81%, personal computer or laptop with 29%. The prevalence of overweight is 39%, obesity 36%, and T2D 13%. The expected adult population with T2D is 49,900 individuals. The are 5 clinics prepared to attend T2D, and few with specialized personnel. The CeDiMet is a collaborative clinic involving health personnel and researchers from the Universidad Mexico Americana del Norte, Universidad Autonoma de Tamaulipas, Hospital General de Mexico “Dr. Eduardo Liceaga”, University of Texas Rio Grande Valley, and the Texas Diabetes Institute in San Antonio. The funding source comes from private companies in Reynosa. The clinical structure includes physicians, nurses, nutritionists, psychologists, and a section for telemedicine for consulting specialists from USA and Mexico City. Besides clinical attendance, the CeDiMet will conduct educational activities in offices, factories, churches, and schools for prevention of obesity complications (T2D and hypertension), early detection of diabetic foot, fatty liver, and endothelial damage. “Tree of Health in the Family” is a program to encourage youth to know and understand the metabolic problems in their families to focus on prevention. Recently, we obtained a grant from COTACyT to explore the effect of COVID-19 in a cohort of 200 students and their families. The analysis of post-traumatic stress due to confinement and antibodies concentration to detect contacts and its association with metabolic problems is an example of the research we can perform

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2.5 air pollution, 1990-2019 : an analysis of data from the Global Burden of Disease Study 2019

Background Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2.5 originating from ambient and household air pollution.Methods We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2.5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure-response curve from the extracted relative risk estimates using the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2.5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2.5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals.Findings In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2.5 exposure, with an estimated 3.78 (95% uncertainty interval 2.68-4.83) deaths per 100 000 population and 167 (117-223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13.4% (9.49-17.5) of deaths and 13.6% (9.73-17.9) of DALYs due to type 2 diabetes were contributed by ambient PM2.5, and 6.50% (4.22-9.53) of deaths and 5.92% (3.81-8.64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2.5.Interpretation Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2.5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd.Peer reviewe

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2.5 air pollution, 1990-2019 : An analysis of data from the Global Burden of Disease Study 2019

Background Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Interpretation Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes

Composition, structure, and habitat associations of fish assemblages of the Dolan Falls Preserve

Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to [email protected], referencing the URI of the item.Includes bibliographical references.Issued also on microfiche from Lange Micrographics.The composition and stability of fish assemblages at eight stations of the Devil's River at the Texas Nature Conservancy Preserve were quantified in four surveys over a one-year period. Data were analyzed to explore natural variation at the mesohabitat scale in the system. The local fish fauna was dominated by four minnows (Cyprinidae) and one mosquito fish (Poecilidae). Species composition in this study was similar to that reported previously. Three species were found that have not been reported before, and nine species previously reported were not observed during this study. Four species listed as threatened by Texas Parks and Wildlife Department were among the most abundant species during this survey. Species diversity (H') and fish abundances showed relatively large variation between mesohabitats and between seasons within mesohabitats. The most diverse mesohabitats were pool, channel, channel edge, and riffle, whereas the least diverse were the shallow isolated pools dominated by Cyprinodon eximius. Spatiotemporal patterns of taxonomic composition were examined using principal component analysis (PCA). Seasonal shifts in assemblage structure were primarily with respect to an axis contrasting domination by Moxostoma congestum, Etheostoma grahami, Cyprinodon eximius, and Dionda diaboli versus domination by Micropterus dolomieu, Cyprinalla Proserpina, Cyprinella venusta, and Cichlasoma cyanoguttatum. In addition to the PCA, canonical correspondence analysis (CANCOR) was performed using assemblage composition in combination with a set of environmental parameters. The first three axes of the CANCOR, for both community variables and environmental variables, accounted for 90.7% of the total variance. The first pair of canonical axes described a pattern in which seasonal variation in assemblages was associated with the convergence of many species on a subset of mesohabitats during colder periods. Diverse reproductive strategies are represented in the fish community of the Devil's River, but small opportunistic species with extended spawning periods dominated

Salud Ambiental, Gestión ambiental, la ecoeficiencia y su relación con la optimización de los residuos sólidos

This research aimed to determine the relationship between environmental management, eco-efficiency of municipal workers, and the optimization of solid waste. A quantitative applied study was conducted, using a non-experimental design with a causal correlational scope and a cross-sectional approach. The population consisted of 340 collaborators from the solid waste management sub-department of a municipality in Lima, using a convenience probabilistic sample of 191 collaborators. The information for this study was obtained through three instruments, from which acceptable reliability levels were obtained through the Cronbach's alpha statistical process. The results of this research confirmed the proposed hypotheses, showing that environmental management and the eco-efficiency of workers significantly influence the optimization of solid waste, obtaining a zero-order partial correlation with a value of 0.763 and p-value=0.000. These results were given through the indicators of the logistic regression used with the Nagelkerke pseudo R-squared model (0.861), which explains the level of influence of the variables on the optimization of solid waste.Esta investigación tuvo como objetivo determinar la relación entre la gestión ambiental, la ecoeficiencia de los trabajadores municipales y la optimización de los residuos sólidos. Se realizó un estudio de tipo cuantitativo aplicada, con un diseño no experimental, de alcance correlacional causal, corte transaccional. La población estuvo conformada por 340 colaborados de la subgerencia de gestión de residuos sólidos de una municipalidad de Lima, utilizando una muestra probabilística por conveniencia de 191 colaboradores. La información de este estudio se obtuvo a través de tres instrumentos, de los cuales se obtuvieron niveles de confiabilidad aceptables, a través del proceso estadístico alfa de Cronbash. Los resultados arrojados en esta investigación fueron la comprobación de las hipótesis planteadas, donde se comprueba que la gestión ambiental y la ecoeficiencia de los trabajadores influyen significativamente en la optimización de los residuos sólidos, obteniendo una correlación parcial de orden cero con un (0.763 y pvalor=0.000), dados a través de los indicadores de la regresión logística utilizada con el pseudo r cuadrado del modelo Nagelkerke (0.861), el cual explica el nivel de influencia de las variables sobre la optimización de los residuos sólidos

El aprendizaje autónomo en educación superior. Revisión sistemática

Introduction: Higher education requires new learning scenarios, centered on flexible didactic strategies that allow student autonomy and contribute to their maturity in communicative-research competencies.Objective: Various investigations carried out regarding autonomous learning in higher education were analyzed. The research was important because it verified the relationship between autonomy and learning. Methods: Qualitative research, systematic review, followed the standards of the PRISMA Declaration; The information was obtained in the Scopus database, in the period 2018 - 2023 following the inclusion and exclusion criteria. For the analysis, 50 articles were selected (31 quantitative, 5 qualitative and 14 mixed). Results: They revealed that autonomous learning is the result of the union of individual or group work, self-motivation, solution strategies, responsibility, empowerment and autonomy on the part of the student together with freedom, empowerment, preparation of didactic material. of the teacher. Conclusion: most of the research emphasizes personal responsibility in the face of a situation and self-direction of learning; however, no study addresses the five dimensions of autonomous learning.Introducción: La educación superior requiere nuevos escenarios de aprendizaje, centrado en estrategias didácticas flexibles que permitan la autonomía del estudiante y que contribuyan en su madurez en las competencias de comunicativo-investigativo. Objetivo: Se analizó diversas investigaciones realizadas con respecto al aprendizaje autónomo en la educación superior. La investigación fue importante porque verificó la relación entre autonomía y aprendizaje. Métodos: Investigación cualitativa, de revisión sistemática, siguió las normas de la Declaración PRISMA; la información se obtuvo en la base de datos Scopus, en el período 2018 – 2023 siguiendo los criterios de inclusión y exclusión. Para el análisis se seleccionaron 50 artículos (31 cuantitativos, 5 cualitativos y 14 mixtos). Resultados: Revelaron que el aprendizaje autónomo es el resultado de la unión del trabajo individual o grupal, la automotivación, las estrategias de solución, la responsabilidad, el empoderamiento y la autonomía por parte del estudiante unido a la libertad, empoderamiento, preparación de material didáctico del docente. Conclusiones: la mayoría de las pesquisas hacen hincapié en la responsabilidad personal frente a una situación y la autodirección del aprendizaje; sin embargo, ningún estudio aborda las cinco dimensiones del aprendizaje autónomo