763 resultados para HEALTHY LIFE-STYLE
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Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6–6·6), from 65·3 years (65·0–65·6) in 1990 to 71·5 years (71·0–71·9) in 2013, HALE at birth rose by 5·4 years (4·9–5·8), from 56·9 years (54·5–59·1) to 62·3 years (59·7–64·8), total DALYs fell by 3·6% (0·3–7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6–29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non–communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition—in which increasing sociodemographic status brings structured change in disease burden—is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions.
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Since the 2000s activewear has grown as a fashion category, and the tropes of gym wear – leggings, leotards and block colours – have become fashionable attire for both men and women outside the gym. This article examines the rise of activewear in the context of an on-going dialogue between fashion and sport since the beginning of the twentieth century. Through an analysis of the Australian activewear label, Lorna Jane, we consider the fashionable female body as both the object and subject of a consumer culture that increasingly overlays leisure with fashion. Activewear can be seen as the embodiment of an active and fashionable lifestyle that is achieved through a regime of self-discipline, and that symbolizes the pleasure in attaining and displaying the healthy and fit body.
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The human buccal micronucleus cytome assay (BMCyt) is one of the most widely used techniques to measure genetic damage in human population studies. Reducing protocol variability, assessing the role of confounders, and estimating a range of reference values are research priorities that will be addressed by the HUMNXL, collaborative study. The HUMNXL, project evaluates the impact of host factors, occupation, life-style, disease status, and protocol features on the occurrence of MN in exfoliated buccal cells. In addition, the study will provide a range of reference values for all cytome endpoints. A database of 5424 subjects with buccal MN values obtained from 30 laboratories worldwide was compiled and analyzed to investigate the influence of several conditions affecting MN frequency. Random effects models were mostly used to investigate MN predictors. The estimated spontaneous MN frequency was 0.74 parts per thousand (95% CI 0.52-1.05). Only staining among technical features influenced MN frequency, with an abnormal increase for non-DNA-specific stains. No effect of gender was evident, while the trend for age was highly significant (p < 0.001). Most occupational exposures and a diagnosis of cancer significantly increased MN and other endpoints frequencies. MN frequency increased in heavy smoking (>= 40 cig/day. FR = 1.37:95% CI 1.03-.82) and decreased with daily fruit consumption (FR = 0.68; 95% CI 0.50-0.91). The results of the HUMNXL, project identified priorities for validation studies, increased the basic knowledge of the assay, and contributed to the creation of a laboratory network which in perspective may allow the evaluation of disease risk associated with MN frequency. (C) 2011 Elsevier B.V. All rights reserved.
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OBJECTIVES To investigate how life style factors such as alcohol consumption and physical activity relate to the serum apoB / apoA-I ratio in a cohort of middle-aged women with varying degrees of glucose tolerance. DESIGN Observational, cross-sectional cohort study. SETTING Research laboratory at a University Hospital. SUBJECTS A screened cohort of 64-year-old postmenopausal women with varying degrees of glucose tolerance, ranging from diabetes (n = 232), impaired (n = 212) and normal (n = 191) glucose tolerance. MAIN OUTCOME MEASURE ApoB / apoA-I ratio in relation to alcohol consumption and physical activity as assessed by questionnaires. RESULTS Alcohol consumption and regular physical activity at high levels were inversely associated with the serum apoB / apoA-I ratio independently of confounding factors such as obesity, lipid-lowering treatment, degree of glucose tolerance and hormone replacement therapy. Alcohol seemed related to the apoB / apoA-I ratio mainly through increasing apoA-I, whereas physical activity seemed mainly related to lowering of apoB. Alcohol consumption above a daily intake of 8.9 g, i.e. less than a glass of wine was accompanied by a decrease in apoB / apoA-I ratio. CONCLUSIONS Amongst these 64-year-old women with varying degrees of glucose tolerance, a moderate alcohol intake and regular physical exercise leading to sweating were associated with lower apoB / apoA-I ratio and these effects seem to be additive.
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Background: Independent, strong and unequivocal evidence suggests that life style factors such as obesity and lack of physical activity along with certain reproductive choices can increase the risk of breast cancer. There are no studies measuring the effectiveness of guidelines from the Department of Health regarding life style choices made by women presenting to breast clinics. The aim of this audit was to study the prevalence of obesity, physical activity and reproductive factors in women referred to breast clinic. Patients and methods: All patients attending the Breast clinic as new referrals were invited to complete a life style questionnaire. The data was analysed for prevalence of various risk factors for breast cancer. Three hundred and 73 patients completed the questionnaire. Results: Final analyses of 373 patients demonstrated that 42% of women performed no exercise and only 24% of patients met Department of Health guideline of 30 minutes of exercise for 5 days a week. Overall 50% of patients were either obese or overweight and 22% of patients had BMI of > 30 kg/m. The median age of menarche was 13 and 18% of women started their period below the age 12. Twenty one percent of women were nulliparous and 14% had their first live birth after the age of 30. Fourteen percent of patients were on the hormone replacement therapy of which 57% have used hormones for more than 5 years. Twenty two percent of women smoked and 9% of women consumed alcohol 5 days a week of which 13% had more than 4 glasses of alcohol in a day. Conclusion: There is preponderance of high risk life style choices in women attending breast clinic. If these life style options are not modified, there could potentially be a significant rise in the number of breast cancer in West Midlands.
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Enotourism is a relatively new form of sustainable tourism. But is more than a lifestyle. The Douro landscape reflects its ancient and deep connection with the culture of wine, creating a picture of Man and Nature working side by side in search of the perfect wine. Lifestyle typically reflects: an individual's attitude, a way of life, values, or world view. Practical implications - the results suggest that there is scope for developing wine tourism products to attract tourists and which could be used to promote the Douro Valley region as a centre for enotourism. The beautifully unique landscape of the Douro was one of the reasons that made it a World Heritage site in 2001. There isn´t in Portugal an autonomous strategy process to define enotourism. Is a legal problem when we try to analyse the process or a data base to find information about enotourism players. So, how do winery operators, particularly those running small or family businesses, cope with the new developments occurring in the world of wines? The present study examines these issues from the perspective of a group of Portuguese winery operators. Our proposal in this research, is to analyse how many wineris or enotecas are hable to develop enotourism with a legal process. The results of the study reflect the level of education of employees, the seasonal nature of tourism, the improvements in its promotion and the need for greater support from local government. A key aspect is respect for the people who call the location home, the culture and customs of the area, and the socio-economic system. Design/methodology/approach - The methodology employed for this study consisted of a combination of surveys, interviews and field observations with the suppliers in the traditional wine‐producing region, Douro Valley, or Porto wine region, in the north of Portugal. The results of this investigation are almost analisys made inside the villages and also us wineries and enotecas. From the 30 winemakers that we visited, only 2 have an enotourism service acording to legislation and have a certificate that allows to pratices. It was very hard but it is an open field to future researchs (TOMÁS López‐Guzmán,et al, 2011). From the 30 wineries we have analysed only 2 were enotourism with a legal basis. Enotourism is on the travel agencies department and most of the wineries don´t have the legal licenses. Despite of most tourism agencies see enoturism as a segment of the industry with tremendous growth potential, stating that in some regions, it's only functioning at 20% of its full potential. Enotourism development guidelines and management practices are applicable to all forms of tourism in all destination types, including mass tourism and the various niche tourism segments.
Atendimento ambulatorial versus programa de educação infantil : qual oferece mais mudança de hábito?
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De acordo com um recente relatório da Organização Mundial de Saúde, a obesidade atingiu proporções epidêmicas em todo o mundo. Hoje a obesidade é muito comum e está começando a substituir a desnutrição e as doenças infecciosas. A obesidade está relacionada com doenças crônico-degenerativas e com sérias conseqüências psicológicas para o indivíduo. A obesidade é uma doença complexa e heterogênea, influenciada por diversos genes, no entanto, a combinação dos genes envolvidos no desenvolvimento de formas de obesidade ainda não foi definitivamente determinada (REILLY et al, 2002). A obesidade, ou o aumento da adiposidade, é geralmente atribuída a um desequilíbrio entre a energia ingerida (padrão alimentar) e a energia gasta (atividade física e metabolismo basal). Assim, o manejo da obesidade consiste em tornar esse balanço energético negativo, sendo o exercício considerado um dos aspectos principais, associado com mudanças alimentares e de estilo de vida saudáveis (ESCRIVÃO & LOPEZ, 1998). Dietas são, na maioria das vezes, transitórias. Então, a mudança de hábito alimentar e de atividade física são os aspectos principais, especialmente na criança, uma vez que a manutenção de peso irá proporcionar uma melhora dramática da composição corporal, já que o crescimento linear ainda existe. Mas, qualquer mudança de hábito necessita da colaboração da família (HILL et al, 1993). Assim, o presente estudo teve como objetivo principal comparar um programa de educação em obesidade infantil com o atendimento ambulatorial para manejo de obesidade infantil quanto a mudanças de hábitos alimentares e de atividade física e aquisição de conhecimentos em dieta saudável. Foi desenvolvido inicialmente um programa de educação em obesidade infantil e posteriormente comparado com o atendimento ambulatorial habitual. O presente estudo constou de um ensaio clínico randomizado entre crianças e adolescentes com idade entre 7 e 13 anos incompletos que tivessem IMC compatível para obesidade, de acordo com a idade e sexo, segundo classificação de COLE et al (2002). Os sujeitos foram aleatoriamente distribuídos em dois grupos. Cada grupo foi acompanhado por oito meses, sendo que o primeiro e o oitavo encontro serviram para responder questionários que avaliavam aspectos gerais, hábitos alimentares e de atividade física, conhecimentos gerais sobre dieta saudável e avaliação corporal. O grupo ambulatorial teve atendimento mensal com aferição de peso e orientações gerais quanto alimentação e atividade física. O grupo programa tinha encontro mensal, em grupo, seus participantes assistiam a uma aula expositiva e, posteriormente, eram divididos em grupos para atividades monitoradas, e os pais e/ou responsáveis ficavam discutindo suas dificuldades e como mudar hábitos. As 38 crianças inicialmente apresentavam algumas diferenças quanto a atividade física, mas após a intervenção elas se assemelharam, apresentando ambas tendência a desfechos favoráveis. O grupo programa passou a fazer mais atividade física e caminhar, e reduziu sedentarismo. O grupo programa foi mais efetivo em reduzir colesterol total. Houve também uma melhora do hábito alimentar do grupo programa, com menor consumo de massa + arroz, bebida láctea + leite, leite, salsicha + frios e sanduíche + bauru. Assim, conclui-se que as intervenções foram semelhantes e de sucesso, podendo-se aplicar mais o programa, que pode envolver menos profissionais, mais sujeitos e ser realizado em qualquer local, especialmente nas escolas, que são, na realidade, o local de mudança.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Background: We aimed to examine whether time spent on different sedentary behaviours is associated with bone mineral content (BMC) in adolescents, after controlling for relevant confounders such as lean mass and objectively measured physical activity (PA), and if so, whether extra-curricular participation in osteogenic sports could have a role in this association. Methods: Participants were 359 Spanish adolescents (12.5-17.5 yr, 178 boys,) from the HELENA-CSS (2006-07). Relationships of sedentary behaviours with bone variables were analysed by linear regression. The prevalence of low BMC (at least 1SD below the mean) and time spent on sedentary behaviours according to extracurricular sport participation was analysed by Chi-square tests. Results: In boys, the use of internet for non-study was negatively associated with whole body BMC after adjustment for lean mass and moderate to vigorous PA (MVPA). In girls, the time spent studying was negatively associated with femoral neck BMC. Additional adjustment for lean mass slightly reduced the negative association between time spent studying and femoral neck BMC. The additional adjustment for MVPA did not change the results at this site. The percentage of girls having low femoral neck BMC was significantly smaller in those participating in osteogenic sports (>= 3 h/week) than in the rest, independently of the cut-off selected for the time spent studying. Conclusions: The use of internet for non-study (in boys) and the time spent studying (in girls) are negatively associated with whole body and femoral neck BMC, respectively. In addition, at least 3 h/week of extra-curricular osteogenic sports may help to counteract the negative association of time spent studying on bone health in girls.
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Obesity is becoming an epidemic phenomenon in most developed countries. The fundamental cause of obesity and overweight is an energy imbalance between calories consumed and calories expended. It is essential to monitor everyday food intake for obesity prevention and management. Existing dietary assessment methods usually require manually recording and recall of food types and portions. Accuracy of the results largely relies on many uncertain factors such as user's memory, food knowledge, and portion estimations. As a result, the accuracy is often compromised. Accurate and convenient dietary assessment methods are still blank and needed in both population and research societies. In this thesis, an automatic food intake assessment method using cameras, inertial measurement units (IMUs) on smart phones was developed to help people foster a healthy life style. With this method, users use their smart phones before and after a meal to capture images or videos around the meal. The smart phone will recognize food items and calculate the volume of the food consumed and provide the results to users. The technical objective is to explore the feasibility of image based food recognition and image based volume estimation. This thesis comprises five publications that address four specific goals of this work: (1) to develop a prototype system with existing methods to review the literature methods, find their drawbacks and explore the feasibility to develop novel methods; (2) based on the prototype system, to investigate new food classification methods to improve the recognition accuracy to a field application level; (3) to design indexing methods for large-scale image database to facilitate the development of new food image recognition and retrieval algorithms; (4) to develop novel convenient and accurate food volume estimation methods using only smart phones with cameras and IMUs. A prototype system was implemented to review existing methods. Image feature detector and descriptor were developed and a nearest neighbor classifier were implemented to classify food items. A reedit card marker method was introduced for metric scale 3D reconstruction and volume calculation. To increase recognition accuracy, novel multi-view food recognition algorithms were developed to recognize regular shape food items. To further increase the accuracy and make the algorithm applicable to arbitrary food items, new food features, new classifiers were designed. The efficiency of the algorithm was increased by means of developing novel image indexing method in large-scale image database. Finally, the volume calculation was enhanced through reducing the marker and introducing IMUs. Sensor fusion technique to combine measurements from cameras and IMUs were explored to infer the metric scale of the 3D model as well as reduce noises from these sensors.
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Literature on hypertension treatment has demonstrated that a healthy life style is one of the best strategies for hypertension control. In exploring the mechanisms of behavioral change for hypertension control, a comprehensive study based on the Transtheoretical Model was carried out in Taiwan during the summer of 2000 with a sample of 350 hypertensive adults living in Taipei urban and rural areas. ^ The relationships among stages of change, processes of change and demographic factors were analyzed for six health behaviors—low fat food consumption, alcohol use, smoking, physical activity, weight control, and routine blood pressure checkups. In addition, differences were assessed between urban and rural populations in changing their behavior for hypertension control. ^ The results showed that rural populations had more difficulties than urban populations in avoiding smoking and engaging in physical activity, and the processes of change being used by urban populations were significantly greater than rural populations. The study findings support a strong association between processes and stages of change. ^ Individuals who use more processes of change will be more inclined to move from precontemplation stage to maintenance stage. Counterconditioning, which is the substitution of alternatives for the problem behaviors, in this study, significantly helped people to change diet, engage in physical activity, and check blood pressure regularly. For example, counterconditioning is eating more vegetables instead of meat, or engaging in physical activity as a time to relax rather than another task to accomplish. ^ In addition, self-reevaluation was the most important process for helping people to engage in physical activity; and social liberation was the most important process for changing diet behavior. The findings in this study may be applied to improve health behaviors among rural populations with low income and low education; however, at the same time, the obesity problems among urban populations should be prevented to control hypertension in Taiwan. ^
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En las últimas décadas, ha aumentado el interés de la investigación sobre el desarrollo de la coordinación motriz en la adolescencia por ser una etapa sensible, crítica y crucial para la adquisición de hábitos y conductas saludables de vida. Estos estudios han mostrado que la adquisición de unos niveles óptimos de coordinación y competencia motriz van a ser determinantes para el bienestar del adolescente y van a estar relacionados e influidos por otras dimensiones del desarrollo de la persona. Recientes investigaciones han sacado a la luz datos alarmantes sobre el aumento de problemas de coordinación motriz en la población infantil y adolescente (Cantell, Smyth y Ahonen, 1994; Gómez, 2004; Ruiz, Graupera, Gutiérrez y Miyahara, 2003; Sudgen y Chambers, 2005) donde abrocharse los botones de una camisa o correr de forma armónica puede ser todo un mundo lleno de dificultades y consecuencias sobre otras dimensiones del desarrollo (Ramón-Otero y Ruiz, 2015). Estos problemas han sido tratados por investigadores como una “dificultad oculta” (Gómez, Ruiz y Mata, 2006), cuya manifestación está presente en las actividades de la vida cotidiana, en contextos deportivos, en juegos y/o en la clase de Educación Física (Ruiz, 2004). La preocupación por estas dificultades se ha extendido a nivel internacional, creando todo un campo de investigación que estudia el diagnóstico de éstos problemas, conocido bajo las siglas DCD (Developmental Coordination Disorder). El presente estudio se centra en la etapa adolescente, periodo de transición entre la etapa infantil y adulta, caracterizada por numerosos cambios biológicos, cognitivos y socioemocionales (Santrock, 2005), que van a determinar la adaptación con el entorno (Gallahue, Ozmun y Goodway, 2011; Gómez, Ruiz, y Mata, 2006). El propósito principal del estudio es analizar el desarrollo de la coordinación motriz en la etapa adolescente investigando las diferencias de género y de edad en relación con variables psicosociales, los hábitos de práctica y las variables antropométricas. El diseño de la investigación se estructura en dos estudios. El primero de ellos, de carácter transversal, analizó una muestra representativa de 1.966 adolescentes de 1º a 4º de la ESO. El segundo, de naturaleza longitudinal, utilizó un grupo de 89 adolescentes del estudio transversal los cuales fueron estudiados durante 4 años, desde los 12 a los 15 años. Los mismos instrumentos fueron utilizados en ambos estudios: el Test Sportcomp para la evaluación de la coordinación motriz, el test AMPET4 para valorar la motivación de logro para el aprendizaje en Educación Física, el inventario HBSC para conocer los hábitos saludables sobre la práctica de actividad física y, por ultimo, se utilizó un estadiómetro para obtener el peso y la altura y así calcular el índice de masa corporal (IMC). La toma de datos del Estudio Transversal se realizó en 2 cursos académicos (2011/12 - 2012/13), en la cual se requirieron 3 sesiones coincidiendo con la clase de Educación Física. En la primera sesión, se evaluó la coordinación motriz. En la segunda se aplicaron los cuestionarios (AMPET4 y HBSC) y, en la última sesión se midió el peso y la altura en un espacio reservado al estadiómetro. El análisis de datos fue descriptivo y diferencial de cada una de las variables estudiadas: motoras, psicosociales, de hábitos de práctica de actividad física y antropométricas. Asimismo, se llevaron a cabo pruebas de análisis univariante y multivariante, calculando el valor-p y las pruebas de efecto. Respecto al Estudio Longitudinal, la toma de datos se llevó cabo durante 4 años desde el 2011 al 2014. La evaluación de la coordinación motriz se realizó en cada uno de los 4 años. Sin embargo, los 2 cuestionarios y las medidas antropométricas fueron evaluadas en el primer y cuarto año. Los análisis de datos fueron descriptivos y comparativos entre las variables analizadas. En el caso de la coordinación motriz, se realizaron las pruebas de medidas repetidas y, en el caso de las demás variables analizadas, se realizaron Prueba T para muestras relacionadas. Los resultados globales mostraron que el índice motor en el Estudio Transversal fue progresivo en el conjunto de chicos. Sin embargo, en las chicas, el rendimiento se estabiliza a partir de los 13 años. En el caso del Estudio Longitudinal, este índice se estabiliza en los 3 primeros años y a la edad de los 14, es cuando comienzan a acusarse las diferencias de género. En el caso de los hombres el rendimiento mejora y, por el contrario, en las mujeres empeora. En el Estudio Transversal, el análisis de varianza mostraron diferencias en función de la edad [F(7, 1958) = 220.70, p < .001; η2 = .101], del género [F(7, 1958) = 29.76, p < .001; η2 = .044], así como en la interacción entre ambos [F(7, 1958)= 11.90, p < .001; η2 = .018]. Únicamente aparecieron diferencias significativas con la edad en todos los grupos de hombres, excepto entre 14 y 15 años. En el Longitudinal, los contrastes multivariados mostraron que no hubo diferencias sgnificativas en el tiempo [F(3,85) = .05, p = .987, η2= .002] mostrando un nivel de coordinación estable a lo largo de los años, aunque existieron diferencias entre chicos y chicas [F(3,85) = 4.64 p = .005] con un tamaño de efecto destacable (η2 = .141). En cuanto a la motivación de logro para prender en Educación Física, en ambos estudios, los chicos fueron los que obtuvieron puntuaciones más elevadas en todas las dimensiones positivas del test (compromiso de aprendizaje, competencia autopercibida y comparada). Sin embargo, en la dimensión negativa del test, la referida a la ansiedad y al agobio ante el fracaso, fueron las chicas las que puntuaron más alto. En el Estudio Transversal, los resultados mostraron diferencias significativas en todas las dimensiones del AMPET4 en función del nivel de coordinación motriz: compromiso con el aprendizaje [F(2, 1644) = 8.66, p < .001; η2 = .010], competencia autopercibida [F(2, 1644) = 50.94, p < .001; η2 = .048], competencia comparada [F(2, 1644) = 41.56, p < .001, η2 = .020] y ansiedad [F(2, 1644) = 16.67, p < .001, η2 = .058]. En este sentido, los grupos de mejor nivel de coordinación motriz, fueron los que mayor puntuación obtuvieron en las dimensiones positivas y los que menor, en la negativa. En el Estudio Longitudinal, también se encontraron diferencias entre el primer y cuarto año de estudio en todas las dimensiones, excepto en competencia motriz autopercibida. Estas diferencias se tradujeron en una disminución en las 3 variables significativas del primer al cuarto año. Respecto al inventario HBSC, en el Estudio Longitudinal, la prueba T mostró únicamente la existencia de diferencias significativas entre el primer y cuarto año en 2 de los 11 ítems: percepción de la forma física (p = .006) y percepción de la salud (p = .047), los cuales disminuyeron en el intervalo de tiempo del estudio. En el Transversal, las diferencias se observaron en función del género (p < .001) y de la edad (p < .001). Asimismo, se mostraron diferencias significativas en todos los ítems respecto al nivel de coordinación motriz, excepto en 2 de ellos: frecuencia tiempo libre con los amigos fuera del colegio (p = .580) y facilidad para hacer amigos en el centro escolar (p = .098). Por último, en las variables antropométricas, los resultados del Estudio Transversal y Longitudinal coinciden tanto en la estatura como en el peso, apuntando, que en ambos estudios, se produce un aumento progresivo tanto en chicos como en chicas a medida que se avanza en edad. Concretamente en el Transversal, estas diferencias en la edad se encuentran en todos los grupos en ambos géneros, excepto en el conjunto de chicas entre los 14 y los 15 años. Asimismo, ambos estudios coincidieron en que tanto las ganancias en cm y kg, como las puntuaciones medias, fueron mayores en los chicos que en las chicas. Respecto al IMC, los 2 estudios coincidieron en que la evolución es paralela, y tal y como apuntan los resultados del Transversal, no se encontraron diferencias ni en la edad (p = 792) ni en el género (p = 284). No obstante, el Longitudinal apuntó únicamente diferencias significativas entre el primer y cuarto año en el conjunto de los hombres [t(41) = -4.01, p < .001]. Finalmente, y en relación con los niveles de coordinación motriz, hubo diferencias significativas en relación con el IMC (p = .012), mostrando como el grupo de peso normal coincide con puntuaciones óptimas de coordinación motriz. A modo de conclusiones, el presente estudio revela cómo la adquisición de un nivel de coordinación óptimo va a ser fundamental para el desarrollo psicosocial, para el desarrollo de hábitos saludables de práctica y para mantener un IMC dentro de la normalidad para el género y la edad. De esta manera, el desarrollo de la coordinación motriz será un aspecto fundamental para lograr un estado de bienestar físico y mental, y unos hábitos favorables para la práctica de actividad física. ABSTRACT In the past couple of decades, adolescence stage in motor coordination gained significant interest in research especially due to its sensitive and critical importance to achieving a healthy life style. These studies observed how to acquire optimum levels of coordination and motor competence, which proved crucial to the quality of the adolescent stage in addition to being influenced by other dimensions of development for each individual. Recent research shed light to an alarming set of data, which showed increased motor coordination problems in children and adolescents (Cantell, Smyth & Ahonen, 1994; Gómez, 2004; Ruiz, Graupera, Gutierrez & Miyahara, 2003; Sugden & Chambers, 2005). For instance, even to the extent that buttoning a shirt or running in a harmonic form can lead to a whole set of consequences and difficulties on the development stage. Researchers have addressed such problems in various studies such as “dificultad oculta” (Gomez, Ruiz & Mata, 2006), which literally translates as “hidden trouble”. The studies are evidently present in the activities of daily life, sporting contexts, games and/or Physical Education (Ruiz, 2004). Concern about these difficulties spread internationally, creating a whole framework research studying the diagnosis of these problems, known under the acronym DCD (Developmental Coordination Disorder). The study focuses on the adolescent stage, transition period between childhood and adulthood characterized by numerous biological, cognitive and socio-emotional changes (Santrock, 2005), which interestingly determines an individual´s adaptation to the environment (Gallahue, Ozmun & Goodway, 2011; Gomez, Ruiz & Mata, 2006). The main purpose of the study is to analyse the development of motor coordination in the adolescent stage investigating gender differences and age in relation to psychological variables, physical activity habits and anthropometric variables. The research design is structured in two studies. The first (transversal nature), analyses a representative sample of 1,966 adolescents from 1st to 4th of Secondary Education School. The second (longitudinal nature) used a group of 89 teenagers from cross-sectional study, which were studied for four years, from 12 to 15 years. The same instruments were used in both studies, namely; “Sportcomp Test” used to evaluate of motor coordination; “AMPET4 Test” which assesses the motivational achievement of learning Physical Education; “HBSC Inventory” to find out the healthy habits gained from physical activities; And finally a “stadiometer” was used to obtain the weight and height and thus calculate the body mass index (BMI). The data collection of the cross-sectional Study was conducted in two academic years (2011/12 - 2012/13), in which 3 sessions coinciding with the Physical Education level are required. In the first session, motor coordination was evaluated; questionnaires were applied in the second session (AMPET4 and HBSC); and in the last session the weight and height were measured in a reserved space for the “stadiometer”. Notably, data analysis was descriptive and differential in each of the variable studies: motor, psychological, practical and anthropometric habits of physical activity. Thus the tests were conducted in a univariate and multivariate analysis, calculating the p-value and effect tests. Regarding the Longitudinal Study, data collection was carried out during four years from 2011 to 2014 inclusively. The assessment of motor coordination was performed on each of the four years, however, the 2 questionnaires and anthropometric measures were evaluated in the first and fourth year. Data analyses were also descriptive and comparative among the variables that were put to the test. In the case of motor coordination tests, they were done on repeated measures, whilst, in the case of other variables analysed, they were accomplished through T Tests under comparable samples. The overall results showed that the engine Motor Index in Study 1 was progressive in all male gender studies, however in the females the performance remained constant after reaching 13 years of age. For the Longitudinal Study, this index is stabilized in the first 3 years and at the age of 14 is when the gender differences take place. In the case of males, the performance improves, however, in females worsens. The cross-sectional Study, analysis of variance showed differences in terms of age [F(7, 1958) = 220.70, p < .001; η2 = .101], gender [F(7, 1958) = 29.76, p <.001; η2 = .044], as well as their interaction [F(7, 1958) = 11.90, p <.001; η2 = .018]. They only show significant differences in respect to age in the male set sample, in all groups except between 14 and 15 years old. In the Longitudinal, the multivariate contrasts showed no significant differences in time [F(3,85) = 0.05, p = 0.987, η2 = 0.002] showing a stable level of coordination over the years, but if there were differences between both genders [F(3,85) = 4.64, p = .005] it took place with a noteworthy effect size (η2 = .141). In regards, to the Motivational Achievement for learning Physical Education, in both studies the male sample administered obtained higher scores on all the positive dimensions of the test (commitment to learning, self-assessed competence, and comparable competence). However, on the negative assessment side, namely, anxiety and fear of failure, the female sample scored higher than the male one. In Study 1, the multivariate analysis showed significant differences between the psychosocial dimensions and levels of motor coordination with moderate to significant effect [Lambada de Wilks = .931, F(8, 3282) = 14.99; p = <0.001; η2 = .035]. By the same token, the groups with the best level of motor coordination were the highest scoring ones in the positive dimensions, whilst the lower performing ones, performed better in the negative dimension. In the longitudinal study, there is also differences were also found between the first and fourth years of study in all dimensions, except in self-perceived motor competition. These differences resulted in a significant decrease in the 3 variables from first to fourth year. Regarding, the “HBSC Inventory”, the T test in the longitudinal study showed uniquely the existence of significant differences between the first and fourth year in 2 of the 11 items: perception of physical fitness (p = .006) and perceived health (p = 047), which diminished in the interval time of the study. In the Cross-sectional study, the se differences were also observed in gender (p < .001) and age (p < .001). Similarly, they showed significant differences in all items in respect to the motor coordination level, except in 2 of them; frequency of free time with friends outside of school (p = .580) and the ease to make friends at the educational centre (p = 098). And last but not least, the anthropometric variables, both the results of the Transversal and Longitudinal Study matched both height and weight, pointing out that in both studies a gradual increase in both genders, as they grow older. Notably in the Cross-sectional, these differences in age are found in all groups in both genders, except for the set of girls between 14 and 15 years. Thus both studies concluded that both gains in cm and kg and the mean scores were higher amongst males compared to females. Regarding BMI, the 2 studies concluded that the evolution is parallel, and as pointed cross-sectional study there isn’t differences found in age (p = 792) or in gender (p = 284). However, the Longitudinal study uniquely shows significant difference between the first and fourth year for male set sample [t (41) = -4.01, p < .001]. Finally, in relation to levels of motor coordination, there were significant differences in relation to BMI (p = .012), showing how the “normal weight group” matches the optimal scores of motor coordination. In conclusion, this study reveals how the acquisition of an optimal level of coordination is vital for psychological development, to develop and practice healthy habits, and to maintain a BMI within the normal range for age and gender. Therefore, the development of motor coordination is fundamental to achieving a state of physical and mental wellbeing, and preferable habits to pursuing physical activity.
Resumo:
En todo el mundo se ha observado un crecimiento exponencial en la incidencia de enfermedades crónicas como la hipertensión y enfermedades cardiovasculares y respiratorias, así como la diabetes mellitus, que causa un número de muertes cada vez mayor en todo el mundo (Beaglehole et al., 2008). En concreto, la prevalencia de diabetes mellitus (DM) está aumentando de manera considerable en todas las edades y representa un serio problema de salud mundial. La diabetes fue la responsable directa de 1,5 millones de muertes en 2012 y 89 millones de años de vida ajustados por discapacidad (AVAD) (OMS, 2014). Uno de los principales dilemas que suelen asociarse a la gestión de EC es la adherencia de los pacientes a los tratamientos, que representa un aspecto multifactorial que necesita asistencia en lo relativo a: educación, autogestión, interacción entre los pacientes y cuidadores y compromiso de los pacientes. Medir la adherencia del tratamiento es complicado y, aunque se ha hablado ampliamente de ello, aún no hay soluciones “de oro” (Reviews, 2002). El compromiso de los pacientes, a través de la participación, colaboración, negociación y a veces del compromiso firme, aumentan las oportunidades para una terapia óptima en la que los pacientes se responsabilizan de su parte en la ecuación de adherencia. Comprometer e involucrar a los pacientes diabéticos en las decisiones de su tratamiento, junto con expertos profesionales, puede ayudar a favorecer un enfoque centrado en el paciente hacia la atención a la diabetes (Martin et al., 2005). La motivación y atribución de poder de los pacientes son quizás los dos factores interventores más relevantes que afectan directamente a la autogestión de la atención a la diabetes. Se ha demostrado que estos dos factores desempeñan un papel fundamental en la adherencia a la prescripción, así como en el fomento exitoso de un estilo de vida sana y otros cambios de conducta (Heneghan et al., 2013). Un plan de educación personalizada es indispensable para proporcionarle al paciente las herramientas adecuadas que necesita para la autogestión efectiva de la enfermedad (El-Gayar et al. 2013). La comunicación efectiva es fundamental para proporcionar una atención centrada en el paciente puesto que influye en las conductas y actitudes hacia un problema de salud ((Frampton et al. 2008). En este sentido, la interactividad, la frecuencia, la temporalización y la adaptación de los mensajes de texto pueden promover la adherencia a un régimen de medicación. Como consecuencia, adaptar los mensajes de texto a los pacientes puede resultar ser una manera de hacer que las sugerencias y la información sean más relevantes y efectivas (Nundy et al. 2013). En este contexto, las tecnologías móviles en el ámbito de la salud (mHealth) están desempeñando un papel importante al conectar con pacientes para mejorar la adherencia a medicamentos recetados (Krishna et al., 2009). La adaptación de los mensajes de texto específicos de diabetes sigue siendo un área de oportunidad para mejorar la adherencia a la medicación y ofrecer motivación a adultos con diabetes. Sin embargo, se necesita más investigación para entender totalmente su eficacia. Los consejos de texto personalizados han demostrado causar un impacto positivo en la atribución de poder a los pacientes, su autogestión y su adherencia a la prescripción (Gatwood et al., 2014). mHealth se puede utilizar para ofrecer programas de asistencia de autogestión a los pacientes con diabetes y, al mismo tiempo, superar las dificultades técnicas y financieras que supone el tratamiento de la diabetes (Free at al., 2013). El objetivo principal de este trabajo de investigación es demostrar que un marco tecnológico basado en las teorías de cambios de conducta, aplicado al campo de la mHealth, permite una mejora de la adherencia al tratamiento en pacientes diabéticos. Como método de definición de una solución tecnológica, se han adoptado un conjunto de diferentes técnicas de conducta validadas denominado marco de compromiso de retroacción conductual (EBF, por sus siglas en inglés) para formular los mensajes, guiar el contenido y evaluar los resultados. Los estudios incorporan elementos del modelo transteórico (TTM, por sus siglas en inglés), la teoría de la fijación de objetivos (GST, por sus siglas en inglés) y los principios de comunicación sanitaria persuasiva y eficaz. Como concepto general, el modelo TTM ayuda a los pacientes a progresar a su próxima fase de conducta a través de mensajes de texto motivados específicos y permite que el médico identifique la fase actual y adapte sus estrategias individualmente. Además, se adoptan las directrices del TTM para fijar objetivos personalizados a un nivel apropiado a la fase de cambio del paciente. La GST encierra normas que van a ponerse en práctica para promover la intervención educativa y objetivos de pérdida de peso. Finalmente, los principios de comunicación sanitaria persuasiva y eficaz aplicados a la aparición de los mensajes se han puesto en marcha para aumentar la efectividad. El EBF tiene como objetivo ayudar a los pacientes a mejorar su adherencia a la prescripción y encaminarlos a una mejora general en la autogestión de la diabetes mediante mensajes de texto personalizados denominados mensajes de retroacción automáticos (AFM, por sus siglas en inglés). Después de una primera revisión del perfil, consistente en identificar características significativas del paciente basadas en las necesidades de tratamiento, actitudes y conductas de atención sanitaria, el sistema elige los AFM personalizados, los aprueba el médico y al final se transfieren a la interfaz del paciente. Durante el tratamiento, el usuario recopila los datos en dispositivos de monitorización de pacientes (PMD, por sus siglas en inglés) de una serie de dispositivos médicos y registros manuales. Los registros consisten en la toma de medicación, dieta y actividad física y tareas de aprendizaje y control de la medida del metabolismo. El compromiso general del paciente se comprueba al estimar el uso del sistema y la adherencia del tratamiento y el estado de los objetivos del paciente a corto y largo plazo. El módulo de análisis conductual, que consiste en una serie de reglas y ecuaciones, calcula la conducta del paciente. Tras lograr el análisis conductual, el módulo de gestión de AFM actualiza la lista de AFM y la configuración de los envíos. Las actualizaciones incluyen el número, el tipo y la frecuencia de mensajes. Los AFM los revisa periódicamente el médico que también participa en el perfeccionamiento del tratamiento, adaptado a la fase transteórica actual. Los AFM se segmentan en distintas categorías y niveles y los pacientes pueden ajustar la entrega del mensaje de acuerdo con sus necesidades personales. El EBF se ha puesto en marcha integrado dentro del sistema METABO, diseñado para facilitar al paciente diabético que controle sus condiciones relevantes de una manera menos intrusiva. El dispositivo del paciente se vincula en una plataforma móvil, mientras que una interfaz de panel médico permite que los profesionales controlen la evolución del tratamiento. Herramientas específicas posibilitan que los profesionales comprueben la adherencia del paciente y actualicen la gestión de envíos de AFM. El EBF fue probado en un proyecto piloto controlado de manera aleatoria. El principal objetivo era examinar la viabilidad y aceptación del sistema. Los objetivos secundarios eran también la evaluación de la eficacia del sistema en lo referente a la mejora de la adherencia, el control glucémico y la calidad de vida. Se reclutaron participantes de cuatro centros clínicos distintos en Europa. La evaluación del punto de referencia incluía datos demográficos, estado de la diabetes, información del perfil, conocimiento de la diabetes en general, uso de las plataformas TIC, opinión y experiencia con dispositivos electrónicos y adopción de buenas prácticas con la diabetes. La aceptación y eficacia de los criterios de evaluación se aplicaron para valorar el funcionamiento del marco tecnológico. El principal objetivo era la valoración de la eficacia del sistema en lo referente a la mejora de la adherencia. En las pruebas participaron 54 pacientes. 26 fueron asignados al grupo de intervención y equipados con tecnología móvil donde estaba instalado el EBF: 14 pacientes tenían T1DM y 12 tenían T2DM. El grupo de control estaba compuesto por 25 pa cientes que fueron tratados con atención estándar, sin el empleo del EBF. La intervención profesional tanto de los grupos de control como de intervención corrió a cargo de 24 cuidadores, entre los que incluían diabetólogos, nutricionistas y enfermeras. Para evaluar la aceptabilidad del sistema y analizar la satisfacción de los usuarios, a través de LimeSurvey, se creó una encuesta multilingüe tanto para los pacientes como para los profesionales. Los resultados también se recopilaron de los archivos de registro generados en los PMD, el panel médico profesional y las entradas de la base de datos. Los mensajes enviados hacia y desde el EBF y los archivos de registro del sistema y los servicios de comunicación se grabaron durante las cinco semanas del estudio. Se entregaron un total de 2795 mensajes, lo que supuso una media de 107,50 mensajes por paciente. Como se muestra, los mensajes disminuyen con el tiempo, indicando una mejora global de la adherencia al plan de tratamiento. Como se esperaba, los pacientes con T1DM recibieron más consejos a corto plazo, en relación a su estado. Del mismo modo, al ser el centro de T2DM en cambios de estilo de vida sostenible a largo plazo, los pacientes con T2DM recibieron más consejos de recomendación, en cuanto a dietas y actividad física. También se ha llevado a cabo una comparación de la adherencia e índices de uso para pacientes con T1DM y T2DM, entre la primera y la segunda mitad de la prueba. Se han observado resultados favorables para el uso. En lo relativo a la adherencia, los resultados denotaron una mejora general en cada dimensión del plan de tratamiento, como la nutrición y las mediciones de inserción de glucosa en la sangre. Se han llevado a cabo más estudios acerca del cambio a nivel educativo antes y después de la prueba, medidos tanto para grupos de control como de intervención. Los resultados indicaron que el grupo de intervención había mejorado su nivel de conocimientos mientras que el grupo de control mostró una leve disminución. El análisis de correlación entre el nivel de adherencia y las AFM ha mostrado una mejora en la adherencia de uso para los pacientes que recibieron los mensajes de tipo alertas, y unos resultados no significativos aunque positivos relacionados con la adherencia tanto al tratamiento que al uso correlacionado con los recordatorios. Por otra parte, los AFM parecían ayudar a los pacientes que no tomaban suficientemente en serio su tratamiento en el principio y que sí estaban dispuestos a responder a los mensajes recibidos. Aun así, los pacientes que recibieron demasiadas advertencias, comenzaron a considerar el envío de mensajes un poco estresante. El trabajo de investigación llevado a cabo al desarrollar este proyecto ofrece respuestas a las cuatro hipótesis de investigación que fueron la motivación para el trabajo. • Hipótesis 1 : es posible definir una serie de criterios para medir la adherencia en pacientes diabéticos. • Hipótesis 2: es posible diseñar un marco tecnológico basado en los criterios y teorías de cambio de conducta mencionados con anterioridad para hacer que los pacientes diabéticos se comprometan a controlar su enfermedad y adherirse a planes de atención. • Hipótesis 3: es posible poner en marcha el marco tecnológico en el sector de la salud móvil. • Hipótesis 4: es posible utilizar el marco tecnológico como solución de salud móvil en un contexto real y tener efectos positivos en lo referente a indicadores de control de diabetes. La verificación de cada hipótesis permite ofrecer respuesta a la hipótesis principal: La hipótesis principal es: es posible mejorar la adherencia diabética a través de un marco tecnológico mHealth basado en teorías de cambio de conducta. El trabajo llevado a cabo para responder estas preguntas se explica en este trabajo de investigación. El marco fue desarrollado y puesto en práctica en el Proyecto METABO. METABO es un Proyecto I+D, cofinanciado por la Comisión Europea (METABO 2008) que integra infraestructura móvil para ayudar al control, gestión y tratamiento de los pacientes con diabetes mellitus de tipo 1 (T1DM) y los que padecen diabetes mellitus de tipo 2 (T2DM). ABSTRACT Worldwide there is an exponential growth in the incidence of Chronic Diseases (CDs), such as: hypertension, cardiovascular and respiratory diseases, as well as diabetes mellitus, leading to rising numbers of deaths worldwide (Beaglehole et al. 2008). In particular, the prevalence of diabetes mellitus (DM) is largely increasing among all ages and constitutes a major worldwide health problem. Diabetes was directly responsible for 1,5 million deaths in 2012 and 89 million Disability-adjusted life year (DALYs) (WHO 2014). One of the key dilemmas often associated to CD management is the patients’ adherence to treatments, representing a multi-factorial aspect that requires support in terms of: education, self-management, interaction between patients and caregivers, and patients’ engagement. Measuring adherence is complex and, even if widely discussed, there are still no “gold” standards ((Giardini et al. 2015), (Costa et al. 2015). Patient’s engagement, through participation, collaboration, negotiation, and sometimes compromise, enhance opportunities for optimal therapy in which patients take responsibility for their part of the adherence equation. Engaging and involving diabetic patients in treatment decisions, along with professional expertise, can help foster a patient-centered approach to diabetes care (Martin et al. 2005). Patients’ motivation and empowerment are perhaps the two most relevant intervening factors that directly affect self-management of diabetes care. It has been demonstrated that these two factors play an essential role in prescription adherence, as well as for the successful encouragement of a healthy life-style and other behavioural changes (Heneghan et al. 2013). A personalised education plan is indispensable in order to provide the patient with the appropriate tools needed for the effective self-management of the disease (El-Gayar et al. 2013). Effective communication is at the core of providing patient-centred care since it influences behaviours and attitudes towards a health problem (Frampton et al. 2008). In this regard, interactivity, frequency, timing, and tailoring of text messages may promote adherence to a medication regimen. As a consequence, tailoring text messages to patients can constitute a way of making suggestions and information more relevant and effective (Nundy et al. 2013). In this context, mobile health technologies (mHealth) are playing significant roles in improving adherence to prescribed medications (Krishna et al. 2009). The tailoring of diabetes-specific text messages remains an area of opportunity to improve medication adherence and provide motivation to adults with diabetes but further research is needed to fully understand their effectiveness. Personalized text advices have proven to produce a positive impact on patients’ empowerment, self-management, and adherence to prescriptions (Gatwood et al. 2014). mHealth can be used for offering self-management support programs to diabetes patients and at the same time surmounting the technical and financial difficulties involved in diabetes treatment (Free et al. 2013). The main objective of this research work is to demonstrate that a technological framework, based on behavioural change theories, applied to mHealth domain, allows improving adherence treatment in diabetic patients. The framework, named Engagement Behavioural Feedback Framework (EBF), is built on top of validated behavioural techniques to frame messages, guide the definition of contents and assess outcomes: elements from the Transtheoretical Model (TTM), the Goal-Setting Theory (GST), Effective Health Communication (EHC) guidelines and Principles of Persuasive Technology (PPT) were incorporated. The TTM helps patients to progress to a next behavioural stage, through specific motivated text messages, and allow clinician’s identifying the current stage and tailor its strategies individually. Moreover, TTM guidelines are adopted to set customised goals at a level appropriate to the patient’s stage of change. The GST was used to build rules to be applied for enhancing educational intervention and weight loss objectives. Finally, the EHC guidelines and the PPT were applied to increase the effectiveness of messages. The EBF aims to support patients on improving their prescription adherence and persuade them towards a general improvement in diabetes self-management, by means of personalised text messages, named Automatic Feedback Messages (AFM). After a first profile screening, consisting in identifying meaningful patient characteristics based on treatment needs, attitudes and health care behaviours, customised AFMs are selected by the system, approved by the professional, and finally transferred into the patient interface. During the treatment, the user collects the data into a Patient Monitoring Device (PMD) from a set of medical devices and from manual inputs. Inputs consist in medication intake, diet and physical activity, metabolic measurement monitoring and learning tasks. Patient general engagement is checked by estimating the usage of the system and the adherence of treatment and patient goals status in the short and the long term period. The Behavioural Analysis Module, consisting in a set of rules and equations, calculates the patient’s behaviour. After behavioural analysis is accomplished, the AFM library and the dispatch setting are updated by the AFM Manager module. Updates include the number, the type and the frequency of messages. The AFMs are periodically supervised by the professional who also participates to the refinement of the treatment, adapted to the current transtheoretical stage. The AFMs are segmented in different categories and levels and patients can adjust message delivery in accordance with their personal needs. The EBF was integrated to the METABO system, designed to facilitate diabetic patients in managing their disease in a less intrusive approach. Patient device corresponds in a mobile platform, while a medical panel interface allows professionals to monitoring the treatment evolution. Specific tools allow professional to check patient adherence and to update the AFMs dispatch management. The EBF was tested in a randomised controlled pilot. The main objective was to examine the feasibility and acceptance of the system. Secondary objectives were also the assessment of the effectiveness of system in terms of adherence improvement, glycaemic control, and quality of life. Participants were recruited from four different clinical centres in Europe. The baseline assessment included demographics, diabetes status, profile information, knowledge about diabetes in general, usage of ICT platforms, opinion and experience about electronic devices and adoption of good practices with diabetes. Acceptance and the effectiveness evaluation criteria were applied to evaluate the performance of the technological framework. The main objective was the assessment of the effectiveness of system in terms of adherence improvement. Fifty-four patients participated on the trials. Twenty-six patients were assigned in the intervention group and equipped with mobile where the EBF was installed: 14 patients were T1DM and 12 were T2DM. The control group was composed of 25 patients that were treated through a standard care, without the usage of the EBF. Professional’s intervention for both intervention and control groups was carried out by 24 care providers, including endocrinologists, nutritionists, and nurses. In order to evaluate the system acceptability and analyse the users’ satisfaction, an online multi-language survey, using LimeSurvey, was produced for both patients and professionals. Results were also collected from the log-files generated in the PMDs, the professional medical panel and the entries of the data base. The messages sent to and from the EBF and the log-files of the system and communication services were recorded over 5 weeks of the study. A total of 2795 messages were submitted, representing an average of 107,50 messages per patient. As demonstrated, messages decrease over time indicating an overall improvement of the care plan’s adherence. As expected, T1DM patients were more loaded with short-term advices, in accordance with their condition. Similarly, being the focus of T2DM on long-term sustainable lifestyle changes, T2DM received more reminders advices, as for diet and physical activity. Favourable outcomes were observed for treatment and usage adherences of the intervention group: for both the adherence indices, results denoted a general improvement on each care plan’s dimension, such as on nutrition and blood glucose input measurements. Further studies were conducted on the change on educational level before and after the trial, measured for both control and intervention groups. The outcomes indicated the intervention group has improved its level of knowledge, while the control group denoted a low decrease. The correlation analysis between the level of adherences and the AFMs showed an improvement in usage adherence for patients who received warnings message, while non-significantly yet even positive indicators related to both treatment and usage adherence correlated with the Reminders. Moreover, the AFMs seemed to help those patients who did not take their treatment seriously enough in the beginning and who were willing to respond to the messages they received. Even though, patients who received too many Warnings, started to consider the message dispatch to be a bit stressful. The research work carried out in developing this research work provides responses to the four research hypothesis that were the motivation for the work: •Hypothesis 1: It is possible to define a set of criteria to measure adherence in diabetic patients. •Hypothesis 2: It is possible to design a technological framework, based on the aforementioned criteria and behavioural change theories, to engage diabetic patients in managing their disease and adhere to care plans. •Hypothesis 3: It is possible to implement the technological framework in the mobile health domain. •Hypothesis 4: It is possible to use the technological framework as a mobile health solution in a real context and have positive effects in terms of diabetes management indicators. The verification of each hypothesis allowed us to provide a response to the main hypothesis: The Main Hypothesis is: It is possible to improve diabetic adherence through a mHealth technological framework based on behavioural change theories. The work carried out to answer these questions is explained in this research work. The framework was developed and applied in the METABO project. METABO is an R&D project, co-funded by the European Commission (METABO 2008) that integrates mobile infrastructure for supporting the monitoring, management, and treatment of type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) patients.