Forecasting levels of serum 25-hydroxyvitamin D based on dietary intake, lifestyle and personal determinants in a sample of Southern Europeans.

Vitamin D is an essential nutrient to be consumed in the habitual dietary intake, whose deficiency is associated with various disturbances. This study represents a validation of vitamin D status estimation using a semi-quantitative FFQ, together with data from additional physical activity and lifestyle questionnaires. This information was combined to forecast the serum vitamin D status. Different statistical methods were applied to estimate the vitamin D status using predictors based on diet and lifestyle. Serum vitamin D was predicted using linear regression (with leave-one-out cross-validation) and random forest models. Intraclass correlation coefficients, Lin's agreement coefficients, Bland-Altman plots and other methods were used to assess the accuracy of the predicted v. observed serum values. Data were collected in Spain. A total of 220 healthy volunteers aged between 18 and 78 years were included in this study. They completed validated questionnaires and agreed to provide blood samples to measure serum 25-hydroxyvitamin D (25(OH)D) levels. The common final predictors in both models were age, sex, sunlight exposure, vitamin D dietary intake (as assessed by the FFQ), BMI, time spent walking, physical activity and skin reaction after sun exposure. The intraclass correlation coefficient for the prediction was 0·60 (95 % CI: 0·52, 0·67; P < 0·001) using the random forest model. The magnitude of the correlation was moderate, which means that our estimation could be useful in future epidemiological studies to establish a link between the predicted 25(OH)D values and the occurrence of several clinical outcomes in larger cohorts.

The Mediterranean diet and physical activity: better together than apart for the prevention of premature mortality.

Diet and physical activity (PA) have been studied extensively in epidemiology as single or combined lifestyle factors; however, their interaction has not been studied thoroughly. Studying potential synergisms between lifestyle components with a comprehensive interaction analysis, including additive measures of interaction, provides key insights into the nature of their joint effect and helps target interventions more effectively. First, a comprehensive review was conducted to assess the potential research gap regarding reported interaction analyses conducted in studies assessing the Mediterranean diet (MedDiet) in combination with PA on all-cause mortality. Thereafter, we prospectively assessed the joint association of the MedDiet with PA on all-cause mortality in the Seguimiento Universidad de Navarra (SUN) cohort, followed by both multiplicative and additive interaction analyses. The conjoint effect of low adherence to the MedDiet and low PA observed an increased risk greater than the individual risk factors, suggesting a potential additive interaction or synergism between both exposures, with relative risk due to interaction (RERI) and (95 % confidence interval (95 % CI)) = 0·46 (­0·83 to 1·75) and attributable proportion (95 % CI) due to interaction of 36 % (­0·62, 1·34). No multiplicative interaction was detected. Studying interactions between lifestyle factors, such as the MedDiet and PA, is particularly relevant given the current research gaps in studying the complexities of combined aspects of lifestyle in comparison with isolated behaviours. Our findings underline the important public health message of adhering to both the MedDiet and PA for the prevention of premature mortality.

Association between the Prime Diet Quality Score and depressive symptoms in a Mediterranean population with metabolic syndrome. Cross-sectional and 2-year follow-up assessment from PREDIMED-PLUS study.

The burden of depression is increasing worldwide, specifically in older adults. Unhealthy dietary patterns may partly explain this phenomenon. In the Spanish PREDIMED-Plus study, we explored (1) the cross-sectional association between the adherence to the Prime Diet Quality Score (PDQS), an a priori-defined high-quality food pattern, and the prevalence of depressive symptoms at baseline (cross-sectional analysis) and (2) the prospective association of baseline PDQS with changes in depressive symptomatology after 2 years of follow-up. After exclusions, we assessed 6612 participants in the cross-sectional analysis and 5523 participants in the prospective analysis. An energy-adjusted high-quality dietary score (PDQS) was assessed using a validated FFQ. The cross-sectional association between PDQS and the prevalence of depression or presence of depressive symptoms and the prospective changes in depressive symptoms were evaluated through multivariable regression models (logistic and linear models and mixed linear-effects models). PDQS was inversely associated with depressive status in the cross-sectional analysis. Participants in the highest quintile of PDQS (Q5) showed a significantly reduced odds of depression prevalence as compared to participants in the lowest quartile of PDQS (Q1) (OR (95 %) CI = 0·82 (0·68, 0·98))). The baseline prevalence of depression decreased across PDQS quintiles (Pfor trend = 0·015). A statistically significant association between PDQS and changes in depressive symptoms after 2-years follow-up was found (ß (95 %) CI = -0·67 z-score (-1·17, -0·18). A higher PDQS was cross-sectionally related to a lower depressive status. Nevertheless, the null finding in our prospective analysis raises the possibility of reverse causality. Further prospective investigation is required to ascertain the association between PDQS and changes in depressive symptoms along time.

Removal of Anionic and Cationic Dyes Present in Solution Using Biomass of Eichhornia crassipes as Bioadsorbent.

The discharge of large amounts of effluents contaminated with gentian violet (GV) and phenol red (PR) threatens aquatic flora and fauna as well as human health, which is why these effluents must be treated before being discarded. This study seeks the removal of dyes, using water lily (Eichhornia crassipes) as an adsorbent with different pretreatments. PR and GV were analyzed by a UV-visible spectrophotometer. Equilibrium experimental data showed that Freundlich is the best model to fit PR and SIPS for GV, showing that the adsorption process for both dyes was heterogeneous, favorable, chemical (for GV), and physical (for PR). The thermodynamic analysis for the adsorption process of both dyes depends directly on the increase in temperature and is carried out spontaneously. The Pseudo first Order (PFO) kinetic model for GV and PR is the best fit for the dyes having an adsorption capacity of 91 and 198 mg/g, respectively. The characterization of the materials demonstrated significant changes in the bands of lignin, cellulose, and hemicellulose, which indicates that the functional groups could participate in the capture of the dyes together with the electrostatic forces of the medium, from which it be concluded that the adsorption process is carried out by several mechanisms.

First record of natural infection with Anaplasma marginale in sucking lice infesting the water buffalo (Bubalus bubalis) in Mexico.

The water buffalo (Bubalus bubalis) is an Asian species of bovine which was introduced in Mexico in 1992, as an alternative for milk and meat production. However, little is known about its associated ectoparasites, in particular about their lice. As a part of a project to identify the diversity and prevalence of Anaplasma in cattle and water buffaloes in the state of Veracruz, Mexico, we visited a ranch in the downtown area in which 42 buffaloes were visually inspected for the presence of ectoparasites. Lice were manually recovered, and morphologically identified using taxonomic keys. They were also molecularly identified by the amplification of a fragment of the cytochrome oxidase C subunit I gene (COX1). As a result, we recovered 20 lice from eight animals. All lice were identified as Haematopinus tuberculatus, and the recovered sequences exhibited a similarity of 99.7% with those of the same species deposited in GenBank. Additionally, we detected the presence of Anaplasma marginale in 70% (14/20) of the analysed samples. Our results represent the first record of this exotic ectoparasite for the country.

Estimation of umbilical cord blood leptin and insulin based on anthropometric data by means of artificial neural network approach: identifying key maternal and neonatal factors.

BACKGROUND: Leptin and insulin levels are key factors regulating fetal and neonatal energy homeostasis, development and growth. Both biomarkers are used as predictors of weight gain and obesity during infancy. There are currently no prediction algorithms for cord blood (UCB) hormone levels using Artificial Neural Networks (ANN) that have been directly trained with anthropometric maternal and neonatal data, from neonates exposed to distinct metabolic environments during pregnancy (obese with or without gestational diabetes mellitus or lean women). The aims were: 1) to develop ANN models that simulate leptin and insulin concentrations in UCB based on maternal and neonatal data (ANN perinatal model) or from only maternal data during early gestation (ANN prenatal model); 2) To evaluate the biological relevance of each parameter (maternal and neonatal anthropometric variables). METHODS: We collected maternal and neonatal anthropometric data (n = 49) in normoglycemic healthy lean, obese or obese with gestational diabetes mellitus women, as well as determined UCB leptin and insulin concentrations by ELISA. The ANN perinatal model consisted of an input layer of 12 variables (maternal and neonatal anthropometric and biochemical data from early gestation and at term) while the ANN prenatal model used only 6 variables (maternal anthropometric from early gestation) in the input layer. For both networks, the output layer contained 1 variable to UCB leptin or to UCB insulin concentration. RESULTS: The best architectures for the ANN perinatal models estimating leptin and insulin were 12-5-1 while for the ANN prenatal models, 6-5-1 and 6-4-1 were found for leptin and insulin, respectively. ANN models presented an excellent agreement between experimental and simulated values. Interestingly, the use of only prenatal maternal anthropometric data was sufficient to estimate UCB leptin and insulin values. Maternal BMI, weight and age as well as neonatal birth were the most influential parameters for leptin while maternal morbidity was the most significant factor for insulin prediction. CONCLUSIONS: Low error percentage and short computing time makes these ANN models interesting in a translational research setting, to be applied for the prediction of neonatal leptin and insulin values from maternal anthropometric data, and possibly the on-line estimation during pregnancy.

[Donor/recipient age index (DoRAIn) as an independent predictor of long-term living-donor renal graft function]. / Índice de edad donador/receptor (DoRAIn) como un predictor independiente de la función del injerto de donante vivo renal a largo plazo.

PROBLEM: The effect of donor/recipient age disparity on living-donor renal graft function is controversial. The objective of this study is to find new clinical predictors of renal graft function and evaluate the effect of donor/recipient age disparity in our series. METHODS: A retrospective review of our institutional renal transplantation database was performed. We calculated the glomerular filtration rate of our patients with the Chronic Kidney Disease Epidemiology Collaboration formula. Our receptors were categorized using a cut-off of 60 ml/min calculated glomerular filtration rate. An index called "Donor/Recipient Age Index" was created based on the interaction between donor/recipient ages. Univariable and multivariable regression analysis were performed. The Mantel-Cox model was used for statistical analysis. RESULTS: A total of 220 donor/recipient pairs were selected from January 2005 to August 2013. Only 186 pairs completed the one-year follow-up. The mean age of the donors was 35.3 ± 10.4 years and 31.6 ± 11.7 years for the recipients. The Donor/Recipient Age Index significantly predicted a glomerular filtration rate < 60 ml/min at one-year follow-up in univariable (p = 0.02) and multivariable (p = 0.033) regression models. CONCLUSION: We propose the Donor/Recipient Age Index as a significant predictor of long-term graft function.

Effectiveness of prediction equations in estimating energy expenditure sample of Brazilian and Spanish women with excess body weight.

OBJECTIVE: To assess the adequacy of predictive equations for estimation of energy expenditure (EE), compared with the EE using indirect calorimetry in a sample of Brazilian and Spanish women with excess body weight. METHODS: It is a cross-sectional study with 92 obese adult women [26 Brazilian -G1- and 66 Spanish - G2- (aged 20-50)]. Weight and height were evaluated during fasting for the calculation of body mass index and predictive equations. EE was evaluated using the open-circuit indirect calorimetry with respiratory hood. RESULTS: In G1 and G2, it was found that the estimates obtained by Harris-Benedict, Shofield, FAO/WHO/ ONU and Henry & Rees did not differ from EE using indirect calorimetry, which presented higher values than the equations proposed by Owen, Mifflin-St Jeor and Oxford. For G1 and G2 the predictive equation closest to the value obtained by the indirect calorimetry was the FAO/WHO/ONU (7.9% and 0.46% underestimation, respectively), followed by Harris-Benedict (8.6% and 1.5% underestimation, respectively). CONCLUSION: The equations proposed by FAO/WHO/ ONU, Harris-Benedict, Shofield and Henry & Rees were adequate to estimate the EE in a sample of Brazilian and Spanish women with excess body weight. The other equations underestimated the EE.

Objetivo: Evaluar la adecuación de las ecuaciones de predicción para la estimación del gasto energético (GE), en comparación con el GE medido por calorimetría indirecta en una muestra de mujeres brasileñas y españolas con exceso de peso corporal. Métodos: Se trata de un estudio transversal con 92 mujeres adultas obesas [26 brasileñas ­G1­ y 66 españolas ­G2­ (20-50 años)]. Se evaluó el peso y la talla durante el ayuno para el cálculo del índice de masa corporal y las ecuaciones de predicción. Se evaluó el GE usando la calorimetría indirecta de circuito abierto con campana respiratoria. Resultados: En G1 y G2, se encontró que las estimaciones obtenidas por Harris-Benedict, Shofield, FAO/OMS/ ONU y Henry y Rees no difieren del GE estimado por calorimetría indirecta, la cual presentó valores más altos que las ecuaciones propuestas por Owen Mifflin -St Jeor y Oxford. Para G1 y G2 la ecuación predictiva que presentó valores más cercanos al valor obtenido por la calorimetría indirecta fue la FAO/OMS/ONU (7,9% y 0,46% subestimación, respectivamente), seguido por Harris-Benedict (8,6% y 1,5% subestimación, respectivamente). Conclusión: Las ecuaciones propuestas por la FAO/ OMS/ONU, Harris-Benedict, Shofield y Henry & Rees fueron adecuadas para estimar el GE en una muestra de mujeres brasileñas y españolas con exceso de peso corporal. Las otras ecuaciones subestimaron el GE.

[Consensus document: nutritional and metabolic importance of cow's milk]. / Documento de consenso: importancia nutricional y metabólica de la leche.

Cow's milk is a staple food for human consumption at all stages of life. Industrial processing has allowed widespread access to its consumption by the population, which has helped to significantly improve their health. From its composition point of view, milk is a complete and balanced food that provides high nutrient content in relation to its calorie content, so its consumption should be considered necessary from childhood to elderly. The benefits of cow's milk are not limited to its nutritional value, but extend beyond and are a factor of prevention in certain non communicable pathologies as cardiovascular disease, some cancers, high blood pressure or bone or dental pathology. It can also help in the fight against childhood overweight and obesity. In recent years we have seen a worrying decline in milk consumption among the Spanish population, at least in part influenced by misconceptions about its consumption and of other dairy products. This consensus document aims to review the current state of the topic regarding the effects of milk consumption on health, while making a call to the institutions and scientific societies to develop programs and information campaigns about the benefits of milk and dairy products consumption.

La leche de vaca es un alimento básico en la alimentación humana en todas las etapas de la vida. Su procesamiento industrial ha permitido el acceso generalizado a su consumo por parte de la población, lo que ha contribuido a mejorar notablemente su nivel de salud. Desde el punto de vista de su composición, la leche es un alimento completo y equilibrado, que proporciona un elevado contenido de nutrientes en relación con su contenido calórico, por lo que su consumo debe considerarse necesario desde la infancia a la tercera edad. Los beneficios de la leche de vaca no se limitan exclusivamente a su valor nutricional, sino que se extienden más allá y constituyen un factor de prevención en determinadas patologías afluentes como son la enfermedad cardiovascular, algunos tipos de cáncer, la hipertensión arterial o en patología ósea o dental. Puede contribuir también en la lucha frente al sobrepeso y la obesidad infantil. En los últimos años hemos asistido a un descenso preocupante en el consumo de leche entre la población española, condicionado al menos en parte por ideas equivocadas sobre su consumo y el de otros derivados lácteos. Este documento de consenso pretende revisar el estado actual de la cuestión en relación con los efectos del consumo de leche sobre la salud, al tiempo que hace una llamada a las instituciones y a las sociedades científicas para elaborar programas y campañas divulgativas sobre los beneficios del consumo de leche y derivados lácteos.

Documento de Consenso: importancia nutricional y metabólica de la leche / Consensus document: nutritional and metabolic importance of cow´s milk

La leche de vaca es un alimento básico en la alimentación humana en todas las etapas de la vida. Su procesamiento industrial ha permitido el acceso generalizado a su consumo por parte de la población, lo que ha contribuido a mejorar notablemente su nivel de salud. Desde el punto de vista de su composición, la leche es un alimento completo y equilibrado, que proporciona un elevado contenido de nutrientes en relación con su contenido calórico, por lo que su consumo debe considerarse necesario desde la infancia a la tercera edad. Los beneficios de la leche de vaca no se limitan exclusivamente a su valor nutricional, sino que se extienden más allá y constituyen un factor de prevención en determinadas patologías afluentes como son la enfermedad cardiovascular, algunos tipos de cáncer, la hipertensión arterial o en patología ósea o dental. Puede contribuir también en la lucha frente al sobrepeso y la obesidad infantil. En los últimos años hemos asistido a un descenso preocupante en el consumo de leche entre la población española, condicionado al menos en parte por ideas equivocadas sobre su consumo y el de otros derivados lácteos. Este documento de consenso pretende revisar el estado actual de la cuestión en relación con los efectos del consumo de leche sobre la salud, al tiempo que hace una llamada a las instituciones y a las sociedades científicas para elaborar programas y campañas divulgativas sobre los beneficios del consumo de leche y derivados lácteos (AU)

Cow’s milk is a staple food for human consumption at all stages of life. Industrial processing has allowed widespread access to its consumption by the population, which has helped to significantly improve their health. From its composition point of view, milk is a complete and balanced food that provides high nutrient content in relation to its calorie content, so its consumption should be considered necessary from childhood to elderly. The benefits of cow’s milk are not limited to its nutritional value, but extend beyond and are a factor of prevention in certain non communicable pathologies as cardiovascular disease, some cancers, high blood pressure or bone or dental pathology. It can also help in the fight against childhood overweight and obesity. In recent years we have seen a worrying decline in milk consumption among the Spanish population, at least in part influenced by misconceptions about its consumption and of other dairy products. This consensus document aims to review the current state of the topic regarding the effects of milk consumption on health, while making a call to the institutions and scientific societies to develop programs and information campaigns about the benefits of milk and dairy products consumption (AU)

Effectiveness of prediction equations in estimating energy expenditure sample of Brazilian and Spanish women with excess body weight / Eficacia de las ecuaciones de predicción para la estimación del gasto energético en una muestra de mujeres brasileñas y españolas con exceso de peso corporal

Objective: To assess the adequacy of predictive equations for estimation of energy expenditure (EE), compared with the EE using indirect calorimetry in a sample of Brazilian and Spanish women with excess body weight Methods: It is a cross-sectional study with 92 obese adult women [26 Brazilian —G1— and 66 Spanish —G2— (aged 20-50)]. Weight and height were evaluated during fasting for the calculation of body mass index and predictive equations. EE was evaluated using the open circuit indirect calorimetry with respiratory hood.Results: In G1 and G2, it was found that the estimates obtained by Harris-Benedict, Shofield, FAO/WHO/ONU and Henry & Rees did not differ from EE using indirect calorimetry, which presented higher values than the equations proposed by Owen, Mifflin-St Jeor and Oxford. For G1 and G2 the predictive equation closest to the value obtained by the indirect calorimetry was the FAO/WHO/ONU (7.9% and 0.46% underestimation, respectively), followed by Harris-Benedict (8.6% and1.5% underestimation, respectively).Conclusion: The equations proposed by FAO/WHO/ONU, Harris-Benedict, Shofield and Henry & Rees were adequate to estimate the EE in a sample of Brazilian and Spanish women with excess body weight. The other equations underestimated the EE (AU)

Objetivo: Evaluar la adecuación de las ecuaciones de predicción para la estimación del gasto energético (GE),en comparación con el GE medido por calorimetría indirecta en una muestra de mujeres brasileñas y españolas con exceso de peso corporal. Métodos: Se trata de un estudio transversal con 92 mujeres adultas obesas [26 brasileñas —G1— y 66 españolas—G2— (20-50 años)]. Se evaluó el peso y la talla durante el ayuno para el cálculo del índice de masa corporal y las ecuaciones de predicción. Se evaluó el GE usando la calorimetría indirecta de circuito abierto con campana respiratoria. Resultados: En G1 y G2, se encontró que las estimaciones obtenidas por Harris-Benedict, Shofield, FAO/OMS/ONU y Henry y Rees no difieren del GE estimado porcalorimetría indirecta, la cual presentó valores más altos que las ecuaciones propuestas por Owen Mifflin -St Jeory Oxford. Para G1 y G2 la ecuación predictiva que presentó valores más cercanos al valor obtenido por la calorimetría indirecta fue la FAO/OMS/ONU (7,9% y 0,46%subestimación, respectivamente), seguido por Harris-Benedict (8,6% y 1,5% subestimación, respectivamente).Conclusión: Las ecuaciones propuestas por la FAO/OMS/ONU, Harris-Benedict, Shofield y Henry & Reesfueron adecuadas para estimar el GE en una muestra de mujeres brasileñas y españolas con exceso de peso corporal. Las otras ecuaciones subestimaron el GE (AU)