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La literatura ha hecho hincapié en la centralidad que cumplen los entornos alimentarios en las elecciones alimentarias y en el estado nutricional de la población. Objetivo: identificar las percepciones de padres, madres y apoderados, profesionales de establecimientos educacionales, funcionarios municipales, y feriantes pertenecientes a la zona sur de Santiago de Chile, respecto a las barreras y limitaciones de la puesta en práctica de una alimentación saludable en el ambiente alimentario escolar. Método: se realizaron seis grupos focales agrupando a 50 actores claves vinculados a los establecimientos educacionales de Ciudad Sur utilizando una muestra no probabilística. Se aplicó un análisis de contenido mediante la técnica de codificación temática buscando relevar los universos semánticos emergentes. Resultados: se identificaron nueve barreras, o semánticas, que caracterizan limitantes a la realización de la alimentación saludable en los entornos escolares desde la perspectiva de los participantes: la familia, kioscos escolares, la salida de los establecimientos escolares, gusto, determinantes socioeconómicos, política pública, falta de conocimiento, publicidad y disponibilidad de productos sin sellos. Conclusiones: las limitaciones asociadas al ambiente alimentario doméstico tienen una representación significativamente alta (47,9%) y contienen un carácter de responsabilización individual en su enunciación. Esta cultura explicativa es opuesta a la evidencia científica y académica respecto al funcionamiento de la conducta alimentaria, y a la centralidad de los ambientes alimentarios respecto a la facilitación u obstaculización del consumo de alimentos saludables o adecuados.

Literature has emphasized on food environments centrality in food choices and nutritional status. Objective: identify social perceptions of fathers, mothers and guardians, professionals from educational establishments, municipal officials, and stallholders belonging to the southern area of Santiago de Chile, regarding limitations of healthy diet implementation on school environments. Method: six focus groups were carried out grouping 50 key actors linked to educational establishments using a non-probabilistic sample. A content analysis was applied through thematic coding technique seeking to reveal emerging semantic universes. Results: Nine barriers, or semantics, were identified characterizing limitations to healthy eating habits in school environments: family, school kiosks, leaving school establishments, taste, socioeconomic determinants, public policy, lack of knowledge, publicity, and availability of products without seals. Conclusions: limitations associated with domestic food environment have a significantly high representation (47,9%) and contain an individualized responsibility feature. This explanatory culture is opposed to scientific and academic evidence regarding the functioning of eating behavior, and the centrality of food environments facilitating or hindering healthy food consumption.

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Exposure to heavy metals may cause the overproduction of reactive oxygen species, generating oxidative stress and consequently, various harms to human health. The soil surrounding the Ventanas Industrial Complex, in Puchuncaví and Quintero municipal districts on the central Chilean coast, contains heavy metal concentrations (As, Cu, Pb, Zn, among others) that far exceed the maximum permissible levels established by Italian soil standards (used as a reference). This study aimed to investigate the potential association between heavy metal exposure in humans and the levels of oxidative stress biomarkers in inhabitants of these locations. We took blood samples from 140 adults living in sites with high concentrations of heavy metals in the soil and compared them with blood samples from 140 adults living in areas with normal heavy metal concentrations. We assessed lipid peroxidation, damage to genetic material, and Total Antioxidant Capacity in these blood samples. Our results indicate an association between oxidative damage and heavy metal exposure, where the inhabitants living in exposed areas have a higher level of DNA damage compared with those living in control areas. Given that DNA damage is one of the main factors in carcinogenesis, these results are of interest, both for public health and for public policies aimed at limiting human exposure to environmental pollution.

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Cereal ß-glucans are beneficial health ingredients that reduce cholesterolemia and postprandial glycaemia. However, their impact on digestive hormones and gut microbiota is not yet fully established. Two randomized, double-blind, controlled studies were conducted. In the first study, 14 subjects ingested a breakfast with or without ß-glucan from oats (5.2 g). Compared to the control, ß-glucan increased orocecal transit time (p = 0.028) and decreased mean appetite score (p = 0.014) and postprandial plasma ghrelin (p = 0.030), C-peptide (p = 0.001), insulin (p = 0.06), and glucose (p = 0.0006). ß-glucan increased plasma GIP (p = 0.035) and PP (p = 0.018) without affecting leptin, GLP-1, PYY, glucagon, amylin, or 7α-hydroxy-4-cholesten-3-one, a biomarker of bile acid synthesis. In the second study, 32 subjects were distributed into 2 groups to ingest daily foods with (3 g/day) or without ß-glucan for 3 weeks; stools were collected before/after treatment. No changes in fecal microbiota composition/diversity (deep sequencing) were detected with ß-glucans. These results indicate that acute intake of 5 g ß-glucan slows transit time and decreases hunger sensation and postprandial glycaemia without affecting bile-acid synthesis, these changes being associated with decreased plasma insulin, C-peptide, and ghrelin, and increased plasma GIP and PP. However, regular daily intake of 3 g ß-glucan is not sufficient to have an effect on fecal microbiota composition.

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Introducción: La consulta nutricional es la primera línea de atención en niñas y niños en salud pública que presentan condiciones de malnutrición por déficit o exceso. Sin embargo, la atención a estos niños y niñas fue afectada por las movilizaciones sociales y la pandemia por COVID-19. Objetivo: Evaluar la tendencia de las consultas realizadas a menores de 9 años por profesional nutricionista en la región del Maule, Chile, desde el año 2017 a 2021. Métodos: Estudio descriptivo de corte longitudinal histórico basado en los datos de los Registros Estadísticos Mensuales (REM) del Servicio de Salud del Maule, las tendencias fueron analizadas con coeficiente de determinación (R2) mediante la regresión de Prais-Winsten. Resultados: Se analizaron 274.377 consultas nutricionales de niños/as menores de 9 años. 53,8% en clasificación de malnutrición por exceso y 12,1% en déficit. Se registró una disminución de 56,8% en las consultas nutricionales durante las movilizaciones sociales y un 92% al inicio de pandemia. Se observó una tendencia al aumento de las consultas por déficit nutricional, especialmente en menores de 12 meses (R2 0,633, β=4,45, p<0,001). Conclusión: La situación social y epidemiológica afectaron significativamente las atenciones nutricionales en salud pública. Es necesario dar una mayor visibilidad de los profesionales nutricionistas y promover el desarrollo de estrategias innovadoras para afrontar este escenario epidemiológico.

Background: The nutritional appointments is the first line of care for children with malnutrition or overweight in public primary health, but its normal functioning was affected by social mobilizations and the COVID-19 pandemic. Objective: To evaluate trends in consultations among children under 9 years of age in the Maule region, Chile, between 2017 and 2021. Methods: Descriptive longitudinal study based on data from the Monthly Statistical Records (REM) of the Maule Health Service, the trends were analyzed with coefficient of determination (R2) using Prais-Winsten regression. Results: 274,377 nutritional consultations were analyzed, of which 53.8% were overweight and 12.1% with malnutrition. A 56.8% decrease in nutritional consultations was recorded during social mobilizations and 92% at the beginning of the pandemic. A tendency to increase consultations due to malnutrition was observed, especially in children under 12 months of age (R2 0.633, β=4.45, p<0.001). Conclusion: The social and epidemiological situations significantly affected nutritional care in public health. It is necessary to give nutrition professionals greater visibility and promote the development of innovative strategies to deal with this epidemiological scenario.

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OBJECTIVE: The purpose of the current study was to cross-culturally adapt and validate an online questionnaire to assess eating habits and physical activity of university students under confinement due to coronavirus disease (COVID-19). DESIGN: Generation of a cross-sectional online survey to university students conducted during confinement due to COVID-19. The study was divided into two phases. SETTINGS: Students, Chile. PARTICIPANTS: Phase 1 considered the process of translation and back translation, expert panel, cultural adaptation and the generation of a pilot to validate a preliminary format of the questionnaire. In Phase 2, information from the instrument was collected from two hundred and sixty-eight university students, ages 16 to 30 years old, with a mean age of 21·6 (3·3) The major proportion of participants were female (82 %). RESULTS: The adapted questionnaire was statistically validated in three dimensions: (A) eating habits and behaviours during quarantine, (B) perception of risk and (C) physical activity changes during the quarantine. The reliability of Cronbach's α for dimensions A, B and C was 0·59, 0·85 and 0·97, respectively. The complete questionnaire obtained 0·61 in internal consistency and 0·61 (0·58-0·67) ICC reliability. A statistically significant positive correlation matrix was observed. CONCLUSIONS: This questionnaire is a practical tool to obtain accurate information about the relation of COVID-19 confinement on people's eating habits and physical activity. Therefore, it could contribute to establishing appropriate strategies to prevent negative effects on people's health.

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Foot traffic, conversion rate, and total sales during a period of time may be considered to be important indicators of store performance. Forecasting them may allow for business managers plan stores operation in the near future in an efficient way. This work presents a regression method that is able to predict these three indicators based on previous data. The previous data includes values for the indicators in the recent past; therefore, it is a requirement to have gathered them in a suitable manner. The previous data also considers other values that are easily obtained, such as the day of the week and hour of the day of the indicators. The novelty of the approach that is presented here is that it provides a confidence interval for the predicted information and the importance of each parameter for the predicted output values, without additional processing or analysis. Real data gathered by Follow Up, a customer experience company, was used to test the proposed method. The method was tried for making predictions for up to one month in the future. The results of the experiments show that the proposed method has a comparable performance to the best methods proposed in the past that do not provide confidence intervals or parameter rankings. The method obtains RMSE of 0.0713 for foot traffic prediction, 0.0795 for conversion rate forecasting, and 0.0757 for sales prediction.

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The dopamine transporter (DAT) plays a crucial role in the regulation of brain dopamine (DA) homeostasis through the re-uptake of DA back into the presynaptic terminal. In addition to re-uptake, DAT is also able to release DA through a process referred to as DAT-mediated DA efflux. This is the mechanism by which potent and highly addictive psychostimulants, such as amphetamine (AMPH) and its analogues, increase extracellular DA levels in motivational and reward areas of the brain. Recently, we discovered that G protein ßγ subunits (Gßγ) binds to the DAT, and that activation of Gßγ results in DAT-mediated efflux - a similar mechanism as AMPH. Previously, we have shown that Gßγ binds directly to a stretch of 15 residues within the intracellular carboxy terminus of DAT (residues 582-596). Additionally, a TAT peptide containing residues 582 to 596 of DAT was able to block the Gßγ-induced DA efflux through DAT. Here, we use a combination of computational biology, mutagenesis, biochemical, and functional assays to identify the amino acid residues within the 582-596 sequence of the DAT carboxy terminus involved in the DAT-Gßγ interaction and Gßγ-induced DA efflux. Our in-silico protein-protein docking analysis predicted the importance of F587 and R588 residues in a network of interactions with residues in Gßγ. In addition, we observed that mutating R588 to alanine residue resulted in a mutant DAT which exhibited attenuated DA efflux induced by Gßγ activation. We demonstrate that R588, and to a lesser extent F5837, located within the carboxy terminus of DAT play a critical role in the DAT-Gßγ physical interaction and promotion of DA efflux. These results identify a potential new pharmacological target for the treatment of neuropsychiatric conditions in which DAT functionality is implicated including ADHD and substance use disorder.

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Although many authors have highlighted the importance of predicting people's health costs to improve healthcare budget management, most of them do not address the frequent need to know the reasons behind this prediction, i.e., knowing the factors that influence this prediction. This knowledge allows avoiding arbitrariness or people's discrimination. However, many times the black box methods (that is, those that do not allow this analysis, e.g., methods based on deep learning techniques) are more accurate than those that allow an interpretation of the results. For this reason, in this work, we intend to develop a method that can achieve similar returns as those obtained with black box methods for the problem of predicting health costs, but at the same time it allows the interpretation of the results. This interpretable regression method is based on the Dempster-Shafer theory using Evidential Regression (EVREG) and a discount function based on the contribution of each dimension. The method "learns" the optimal weights for each feature using a gradient descent technique. The method also uses the nearest k-neighbor algorithm to accelerate calculations. It is possible to select the most relevant features for predicting a patient's health care costs using this approach and the transparency of the Evidential Regression model. We can obtain a reason for a prediction with a k-NN approach. We used the Japanese health records at Tsuyama Chuo Hospital to test our method, which included medical examinations, test results, and billing information from 2013 to 2018. We compared our model to methods based on an Artificial Neural Network, Gradient Boosting, Regression Tree and Weighted k-Nearest Neighbors. Our results showed that our transparent model performed like the Artificial Neural Network and Gradient Boosting with an R2 of 0.44.

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Preparing a plan for reaction to a grave emergency is a significant first stage in disaster management. A group of experts can do such preparation. Best results are obtained with group members having diverse backgrounds and access to different relevant data. The output of this stage should be a plan as comprehensive as possible, taking into account various perspectives. The group can organize itself as a collaborative decision-making team with a process cycle involving modeling the process, defining the objectives of the decision outcome, gathering data, generating options and evaluating them according to the defined objectives. The meeting participants may have their own evidences concerning people's location at the beginning of the emergency and assumptions about people's reactions once it occurs. Geographical information is typically crucial for the plan, because the plan must be based on the location of the safe areas, the distances to move people, the connecting roads or other evacuation links, the ease of movement of the rescue personnel, and other geography-based considerations. The paper deals with this scenario and it introduces a computer tool intended to support the experts to prepare the plan by incorporating the various viewpoints and data. The group participants should be able to generate, visualize and compare the outcomes of their contributions. The proposal is complemented with an example of use: it is a real case simulation in the event of a tsunami following an earthquake at a certain urban location.

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