12 resultados para Physical activity and inactivity

em Universidad Politécnica de Madrid


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This study examined the relationship between medical advice to engage in physical activity with type of demand required by physical activity and demographic variables. A cross-sectional study was developed, featuring a questionnaire on physicians? advice, and type of demand. The questionnaire was completed by a probability and nationwide sample of older adults in Spain ( n = 933, M = 74.1, range 65?93), randomly selected using multistage sampling. More physically active older adults have, more often than the less active, received physicians? advice to engage in physical activity. There is a signifi cant relationship between medical advice and type of demand ( p menor que .01) and age ( p menor que .05). However, no relationship was found between physician medical advice and gender, social class, or income. Physicians can effectively promote physical activity among sedentary older adults through appropriate advice. Consequently, health authorities should promote physicians' advising older patients to pursue physical activity.

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Purpose: It determines if participating in sports and/or physical activity influences perceived health among the elderly. Basic procedures: Data were drawn from a population subsample of subjects aged 65 - 79 years old that took part in a survey conducted in 2008 by the IESA-CSIC. A regression model was performed with perceived health status with the dependent variable and sociodemographic characteristics and physical activity as independent variables. Results: Physical activity is closely associated to per-ceived health, although sport has little influence on this relationship. Conclusions: Doing exercise or feeling that one is physically active makes the elderly feel better about their health status. However, this age group practises few sports and sport is not found to have an important or constant influence on self-perceived health status among the elderly.

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The communication presents part of the results of the study DEP2010- 19801/Plan Nacional I+D+i 2010-2013.

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Tradicionalmente, los biomarcadores han sido de interés en las ciencias del deporte para medir el rendimiento, el progreso en el entrenamiento y para identificar el sobreentrenamiento. Durante los últimos años, cada vez hay mayor interés en evaluar los efectos relacionados con la salud que se producen en el organismo debidos a una actividad física regular y al deporte. El valor o la concentración de un biomarcador depende de muchos factores, como el grado de entrenamiento, el grado de fatiga y del tipo, la intensidad y la duración del ejercicio, aparte de la edad y del sexo. La mayor parte de los biomarcadores se miden en sangre, orina y saliva. Una de las principales limitaciones que presentan los biomarcadores bioquímicos es la falta de valores de referencia adaptados específicamente para deportistas y personas físicamente activas. Las concentraciones pueden variar considerablemente de los valores de referencia normales. Por lo tanto, es importante adaptar los valores de referencia siempre y cuando sea posible y controlar a cada sujeto regularmente, con el fin de establecer su propia escala de referencia. Otros biomarcadores útiles son la composición corporal (específicamente masa muscular, masa grasa, peso), la condición física (capacidad cardiorrespiratoria, fuerza, agilidad, flexibilidad), frecuencia cardíaca y presión arterial. Dependiendo de la finalidad, será conveniente analizar uno o varios biomarcadores. Para esta revisión, profundizaremos en los biomarcadores que se emplean para evaluar condición física, fatiga crónica, sobreentrenamiento, riesgo cardiovascular, estrés oxidativo e inflamación.

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La presente tesis analiza el efecto del ejercicio físico agudo y la hidratación sobre las concentraciones de homocisteína total (tHcy) y su relación con los parámetros implicados en el metabolismo de la homocisteína como el folato, la vitamina B12, y la creatina en una muestra de varones jóvenes físicamente activos. El trabajo se basa en los resultados del estudio realizado en la Facultad de Ciencias de la Actividad Física y del Deporte de la Universidad Politécnica de Madrid. Para el cual se contó con un total de 29 voluntarios sanos físicamente activos de la Comunidad de Madrid. Los principales resultados de esta tesis son: a) Las concentraciones de tHcy aumentaron después del ejercicio agudo tanto tras una prueba de intensidad máxima (VO2max) como una submáxima (65 % of VO2max) en varones físicamente activos independientemente de las sus concentraciones basales de tHcy. b) Las concentraciones de tHcy disminuyeron 2 h después del ejercicio físico aeróbico submáximo tras aplicar un protocolo de hidratación con una bebida para deportistas. c) Un adecuado protocolo de hidratación durante el ejercicio físico agudo previno el aumento de las concentraciones de tHcy hasta 2 h después del ejercicio. d) Las concentraciones de tHcy aumentaron a las 6 h tras la finalización del ejercicio únicamente en los test en los que no se siguió un protocolo de hidratación durante el ejercicio físico. e) A las 24 h tras el ejercicio, las concentraciones de tHcy volvieron a los niveles basales independientemente de si se aplicó un protocolo de hidratación durante el ejercicio o no. f) Es necesario aclarar si existen mecanismos subyacentes relacionados con el riesgo cardiovascular debido al aumento transitorio de las concentraciones de tHcy inducidas por el ejercicio agudo. Se necesitan más estudios que analicen la relación entre las concentraciones de tHcy después del ejercicio físico agudo y la implicación de la creatina, vitamina B12 y folato como parámetros relacionados en el metabolismo de la homocisteína. El efecto agudo del ejercicio físico aumenta las concentraciones de tHcy por encima de los valores recomendados; sin embargo, un adecuado protocolo de hidratación mantiene las concentraciones a niveles basales y previene el posterior aumento en una muestra de varones adultos físicamente activos. ABSTRACT The current thesis analyzes the effect of exercise and hydration on total homocysteine (tHcy) concentrations and the relationship with the implicated parameters, like folate, vitamin B12, and creatine in physically active male adults. The work is based on the results of the study conducted at the Faculty of Physical Activity and Sport Sciences of the Technical University of Madrid. A total of 29 physically active voluntary healthy males from the Region of Madrid were recruited. The main outcomes of this thesis are: a) tHcy concentrations increased after acute exercise with both, maximal (VO2max) and submaximal (65 % of VO2max) tests in physically active male subjects independently of their baseline tHcy status. b) After 2 h of rehydration with a sport drink, tHcy concentrations, which had previously increased during an acute exercise, decreased significantly, although they didn´t recover to baseline values. c) An adequate hydration protocol during acute aerobic submaximal exercise prevents the increase of tHcy concentrations and maintains these concentrations at baseline up to 2 h post-exercise. d) Serum tHcy concentrations increased after submaximal exercise when the hydration protocol during exercise was not applied. Furthermore, tHcy concentrations reached maximal values 6 h after the end of exercise. e) At 24 h, tHcy concentrations recovered baseline values independently whether or not there was a hydration protocol during exercise. f) There is a need to clarify the underlying mechanisms related to cardiovascular risk due to the transient increase of tHcy concentrations induced by acute exercise. Further research analayzing the relationship between tHcy concentrations after acute exercise and the implication of creatine, vitamin B12 and folate as related parameters in the homocysteine metabolism is needed. Finally, tHcy concentrations increased above the recommended values after an acute aerobic submaximal exercise; nevertheless, a good hydration protocol maintains tHcy concentrations at baseline and prevents the further increase in a sample of physically active male adults.

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This work explores the automatic recognition of physical activity intensity patterns from multi-axial accelerometry and heart rate signals. Data collection was carried out in free-living conditions and in three controlled gymnasium circuits, for a total amount of 179.80 h of data divided into: sedentary situations (65.5%), light-to-moderate activity (17.6%) and vigorous exercise (16.9%). The proposed machine learning algorithms comprise the following steps: time-domain feature definition, standardization and PCA projection, unsupervised clustering (by k-means and GMM) and a HMM to account for long-term temporal trends. Performance was evaluated by 30 runs of a 10-fold cross-validation. Both k-means and GMM-based approaches yielded high overall accuracy (86.97% and 85.03%, respectively) and, given the imbalance of the dataset, meritorious F-measures (up to 77.88%) for non-sedentary cases. Classification errors tended to be concentrated around transients, what constrains their practical impact. Hence, we consider our proposal to be suitable for 24 h-based monitoring of physical activity in ambulatory scenarios and a first step towards intensity-specific energy expenditure estimators

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Este trabajo aborda la metodología seguida para llevar a cabo el proyecto de investigación PRONAF (Clinical Trials Gov.: number NCT01116856.) Background: At present, scientific consensus exists on the multifactorial etiopatogenia of obesity. Both professionals and researchers agree that treatment must also have a multifactorial approach, including diet, physical activity, pharmacology and/or surgical treatment. These two last ones should be reserved for those cases of morbid obesities or in case of failure of the previous ones. The aim of the PRONAF study is to determine what type of exercise combined with caloric restriction is the most appropriate to be included in overweigth and obesity intervention programs, and the aim of this paper is to describe the design and the evaluation methods used to carry out the PRONAF study. Methods/design: One-hundred nineteen overweight (46 males) and 120 obese (61 males) subjects aged 18–50 years were randomly assigned to a strength training group, an endurance training group, a combined strength + endurance training group or a diet and physical activity recommendations group. The intervention period was 22 weeks (in all cases 3 times/wk of training for 22 weeks and 2 weeks for pre and post evaluation). All subjects followed a hypocaloric diet (25-30% less energy intake than the daily energy expenditure estimated by accelerometry). 29–34% of the total energy intake came from fat, 14–20% from protein, and 50–55% from carbohydrates. The mayor outcome variables assesed were, biochemical and inflamatory markers, body composition, energy balance, physical fitness, nutritional habits, genetic profile and quality of life. 180 (75.3%) subjects finished the study, with a dropout rate of 24.7%. Dropout reasons included: personal reasons 17 (28.8%), low adherence to exercise 3 (5.1%), low adherence to diet 6 (10.2%), job change 6 (10.2%), and lost interest 27 (45.8%). Discussion: Feasibility of the study has been proven, with a low dropout rate which corresponds to the estimated sample size. Transfer of knowledge is foreseen as a spin-off, in order that overweight and obese subjects can benefit from the results. The aim is to transfer it to sports centres. Effectiveness on individual health-related parameter in order to determine the most effective training programme will be analysed in forthcoming publications.

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Objective: To examine the association of breakfast consumption with objectively measured and self-reported physical activity, sedentary time and physical fitness. Design: The HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Cross-Sectional Study. Breakfast consumption was assessed by two non-consecutive 24 h recalls and by a ‘Food Choices and Preferences’ questionnaire. Physical activity, sedentary time and physical fitness components (cardiorespiratory fitness, muscular fitness and speed/agility) were measured and self-reported. Socio-economic status was assessed by questionnaire. Setting: Ten European cities. Subjects: Adolescents (n 2148; aged 12?5–17?5 years). Results: Breakfast consumption was not associated with measured or self-reported physical activity. However, 24 h recall breakfast consumption was related to measured sedentary time in males and females; although results were not confirmed when using other methods to assess breakfast patterns or sedentary time. Breakfast consumption was not related to muscular fitness and speed/agility in males and females. However, male breakfast consumers had higher cardiorespiratory fitness compared with occasional breakfast consumers and breakfast skippers, while no differences were observed in females. Overall, results were consistent using different methods to assess breakfast consumption or cardiorespiratory fitness (all P#0?005). In addition, both male and female breakfast skippers (assessed by 24 h recall) were less likely to have high measured cardiorespiratory fitness compared with breakfast consumers (OR50?33; 95% CI 0?18, 0?59 and OR50?56; 95 %CI 0?32, 0?98,respectively). Results persisted across methods. Conclusions: Skipping breakfast does not seem to be related to physical activity,sedentary time or muscular fitness and speed/agility as physical fitness components in European adolescents; yet it is associated with both measured and self-reported cardiorespiratory fitness, which extends previous findings.

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Proyecto I+D+i DEP19801: Gender differences and inequalities in the habits of physical activity of the adult population in Spain

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Proyecto I+D+i DEP19801: Gender differences and inequalities in the habits of physical activity of the adult population in Spain

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La diabetes comprende un conjunto de enfermedades metabólicas que se caracterizan por concentraciones de glucosa en sangre anormalmente altas. En el caso de la diabetes tipo 1 (T1D, por sus siglas en inglés), esta situación es debida a una ausencia total de secreción endógena de insulina, lo que impide a la mayoría de tejidos usar la glucosa. En tales circunstancias, se hace necesario el suministro exógeno de insulina para preservar la vida del paciente; no obstante, siempre con la precaución de evitar caídas agudas de la glucemia por debajo de los niveles recomendados de seguridad. Además de la administración de insulina, las ingestas y la actividad física son factores fundamentales que influyen en la homeostasis de la glucosa. En consecuencia, una gestión apropiada de la T1D debería incorporar estos dos fenómenos fisiológicos, en base a una identificación y un modelado apropiado de los mismos y de sus sorrespondientes efectos en el balance glucosa-insulina. En particular, los sistemas de páncreas artificial –ideados para llevar a cabo un control automático de los niveles de glucemia del paciente– podrían beneficiarse de la integración de esta clase de información. La primera parte de esta tesis doctoral cubre la caracterización del efecto agudo de la actividad física en los perfiles de glucosa. Con este objetivo se ha llevado a cabo una revisión sistemática de la literatura y meta-análisis que determinen las respuestas ante varias modalidades de ejercicio para pacientes con T1D, abordando esta caracterización mediante unas magnitudes que cuantifican las tasas de cambio en la glucemia a lo largo del tiempo. Por otro lado, una identificación fiable de los periodos con actividad física es un requisito imprescindible para poder proveer de esa información a los sistemas de páncreas artificial en condiciones libres y ambulatorias. Por esta razón, la segunda parte de esta tesis está enfocada a la propuesta y evaluación de un sistema automático diseñado para reconocer periodos de actividad física, clasificando su nivel de intensidad (ligera, moderada o vigorosa); así como, en el caso de periodos vigorosos, identificando también la modalidad de ejercicio (aeróbica, mixta o de fuerza). En este sentido, ambos aspectos tienen una influencia específica en el mecanismo metabólico que suministra la energía para llevar a cabo el ejercicio y, por tanto, en las respuestas glucémicas en T1D. En este trabajo se aplican varias combinaciones de técnicas de aprendizaje máquina y reconocimiento de patrones sobre la fusión multimodal de señales de acelerometría y ritmo cardíaco, las cuales describen tanto aspectos mecánicos del movimiento como la respuesta fisiológica del sistema cardiovascular ante el ejercicio. Después del reconocimiento de patrones se incorpora también un módulo de filtrado temporal para sacar partido a la considerable coherencia temporal presente en los datos, una redundancia que se origina en el hecho de que en la práctica, las tendencias en cuanto a actividad física suelen mantenerse estables a lo largo de cierto tiempo, sin fluctuaciones rápidas y repetitivas. El tercer bloque de esta tesis doctoral aborda el tema de las ingestas en el ámbito de la T1D. En concreto, se propone una serie de modelos compartimentales y se evalúan éstos en función de su capacidad para describir matemáticamente el efecto remoto de las concetraciones plasmáticas de insulina exógena sobre las tasas de eleiminación de la glucosa atribuible a la ingesta; un aspecto hasta ahora no incorporado en los principales modelos de paciente para T1D existentes en la literatura. Los datos aquí utilizados se obtuvieron gracias a un experimento realizado por el Institute of Metabolic Science (Universidad de Cambridge, Reino Unido) con 16 pacientes jóvenes. En el experimento, de tipo ‘clamp’ con objetivo variable, se replicaron los perfiles individuales de glucosa, según lo observado durante una visita preliminar tras la ingesta de una cena con o bien alta carga glucémica, o bien baja. Los seis modelos mecanísticos evaluados constaban de: a) submodelos de doble compartimento para las masas de trazadores de glucosa, b) un submodelo de único compartimento para reflejar el efecto remoto de la insulina, c) dos tipos de activación de este mismo efecto remoto (bien lineal, bien con un punto de corte), y d) diversas condiciones iniciales. ABSTRACT Diabetes encompasses a series of metabolic diseases characterized by abnormally high blood glucose concentrations. In the case of type 1 diabetes (T1D), this situation is caused by a total absence of endogenous insulin secretion, which impedes the use of glucose by most tissues. In these circumstances, exogenous insulin supplies are necessary to maintain patient’s life; although caution is always needed to avoid acute decays in glycaemia below safe levels. In addition to insulin administrations, meal intakes and physical activity are fundamental factors influencing glucose homoeostasis. Consequently, a successful management of T1D should incorporate these two physiological phenomena, based on an appropriate identification and modelling of these events and their corresponding effect on the glucose-insulin balance. In particular, artificial pancreas systems –designed to perform an automated control of patient’s glycaemia levels– may benefit from the integration of this type of information. The first part of this PhD thesis covers the characterization of the acute effect of physical activity on glucose profiles. With this aim, a systematic review of literature and metaanalyses are conduced to determine responses to various exercise modalities in patients with T1D, assessed via rates-of-change magnitudes to quantify temporal variations in glycaemia. On the other hand, a reliable identification of physical activity periods is an essential prerequisite to feed artificial pancreas systems with information concerning exercise in ambulatory, free-living conditions. For this reason, the second part of this thesis focuses on the proposal and evaluation of an automatic system devised to recognize physical activity, classifying its intensity level (light, moderate or vigorous) and for vigorous periods, identifying also its exercise modality (aerobic, mixed or resistance); since both aspects have a distinctive influence on the predominant metabolic pathway involved in fuelling exercise, and therefore, in the glycaemic responses in T1D. Various combinations of machine learning and pattern recognition techniques are applied on the fusion of multi-modal signal sources, namely: accelerometry and heart rate measurements, which describe both mechanical aspects of movement and the physiological response of the cardiovascular system to exercise. An additional temporal filtering module is incorporated after recognition in order to exploit the considerable temporal coherence (i.e. redundancy) present in data, which stems from the fact that in practice, physical activity trends are often maintained stable along time, instead of fluctuating rapid and repeatedly. The third block of this PhD thesis addresses meal intakes in the context of T1D. In particular, a number of compartmental models are proposed and compared in terms of their ability to describe mathematically the remote effect of exogenous plasma insulin concentrations on the disposal rates of meal-attributable glucose, an aspect which had not yet been incorporated to the prevailing T1D patient models in literature. Data were acquired in an experiment conduced at the Institute of Metabolic Science (University of Cambridge, UK) on 16 young patients. A variable-target glucose clamp replicated their individual glucose profiles, observed during a preliminary visit after ingesting either a high glycaemic-load or a low glycaemic-load evening meal. The six mechanistic models under evaluation here comprised: a) two-compartmental submodels for glucose tracer masses, b) a single-compartmental submodel for insulin’s remote effect, c) two types of activations for this remote effect (either linear or with a ‘cut-off’ point), and d) diverse forms of initial conditions.