765 resultados para life-style change


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OBJETIVO: Revisar estudos que abordam as práticas alimentares atuais e o padrão de atividade física como contribuintes do excesso de peso na infância. FONTES DE DADOS: Ovid Journals, Highwire e SciELO, com seleção de artigos originais e de revisão nos últimos dez anos (1997 a 2007), na língua portuguesa e inglesa. SÍNTESE DE DADOS: O acompanhamento do estado nutricional de crianças permite diagnosticar seu estado de saúde atual, bem como predizer parcialmente seu prognóstico na vida adulta. A prevalência de obesidade infantil, no Brasil, apresenta aumento progressivo em todas as classes sociais e sua freqüência varia entre cinco a 18%, dependendo da região estudada. A associação da transição epidemiológica, demográfica e comportamental e a alteração do hábito alimentar são apontadas como fatores causais do aumento progressivo da obesidade infantil. Práticas alimentares caracterizadas por elevado teor de lipídios, sacarose e sódio e por reduzido consumo de cereais integrais, frutas e hortaliças associadas à inatividade física decorrente do uso de computadores, jogos eletrônicos e televisores influenciam parte considerável de crianças. Este estilo de vida reflete os hábitos familiares e pode ser influenciado pelo ambiente escolar no qual a criança está inserida. CONCLUSÕES: Os dados sugerem influência considerável dos fatores ambientais, principalmente hábitos alimentares e inatividade física, no crescente aumento da prevalência de excesso de peso na população pediátrica.

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OBJETIVO: Analisar a associação de comportamentos saudáveis com a qualidade de vida relacionada à saúde em idosos. MÉTODOS: Estudo transversal de base populacional que envolveu 1.958 idosos residentes em quatro áreas do estado de São Paulo, em 2001/2002. A qualidade de vida foi aferida com o uso do instrumento Medical Outcomes Study SF-36-Item Short Form Health Survey. As oito escalas e os dois componentes do instrumento constituíram as variáveis dependentes e as independentes foram atividade física, freqüência semanal de ingestão de bebida alcoólica e hábito de fumar. Modelos de regressão linear múltipla foram usados para controlar o efeito de sexo, idade, escolaridade, trabalho, área de residência e número de doenças crônicas. RESULTADOS: Atividade física foi positivamente associada com as oito escalas do SF-36. As maiores associações foram encontradas em aspectos físicos (β = 11,9), capacidade funcional (β = 11,3) e no componente físico. Idosos que ingeriam bebida alcoólica pelo menos uma vez por semana apresentaram melhor qualidade de vida do que os que não ingeriam. Comparados com os que nunca fumaram, os fumantes tiveram pior qualidade de vida no componente mental (β = -2,4). CONCLUSÕES: Os resultados apresentam que praticar atividade física, consumir bebida alcoólica moderadamente e não fumar são fatores positivamente associados a uma melhor qualidade de vida em idosos.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Introduction: Given the repercussion of the important role of physical activity in the prevention of sickness and non-communicable diseases / loss, many works have been done in order to understand the association of sociodemographic characteristics with sedentarism. The elements which influence the physical activity practice are countless. Besides the intrapersonal element, environment elements (social environment, cultural environment, public politics, information environment, natural environment etc.) are also important in the life style. Yet, the way that the person understands the environment can be considered in the planning of the strategies to change the sedentary behavior. Objective: Verify the association of the environment perception with the practice of physical activity (FA) at leisure time in adults living in Rio Claro – SP. Methodology: The sample consists of 470 adults, all residente in rio Claro-SP, aged ≥ 18 years old. The chosen participants answered to the questionnaires: Neighborhood Environmental Walkability Scale (NEWS), International Physical Activity (IPAQ) and to a specific questionnaire with personal data (age, sex, educational level, economical level, weight, height and marital status). The analysis of the connection between the variables was done through the Logistic Regression with Confidence Interval of 95%, using the software SPSS 17.0. Those who reached the recommendation of 10 minutes or more of physical activity in leisure time for week were classified as active, and those who did not reach the recommendation were classified as underactive. Results: The proportion of subjects who practiced physical activity in leisure time was 38,7%, and the male subjects, as well as those classified as better social level showed higher chances to practice at least 10 minutes weekly of physical activity during leisure. Still, walking the dog, soccer fields and gardens near the house (less than 10 walking minutes), were...

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Aerobic exercise has been suggested as a non-pharmacological treatment for hypertension, and the previous paper of this set demonstrated some of the physiological responses induced by exercise. It has been shown an increment on expenditures for appropriate hypertension management in both, public and private services, which reinforces the inclusion of preventive programs to reduce healthcare costs. However, little is known about physical exercise cost-effectiveness for hypertensive patients. There are several interventions like a simple doctor/dietitian counselling in order to change life style, wed-based nutrition program, pharmacological treatment and assisted or non-assisted physical exercise program that evaluate the costs savings. We have shown that regular exercise (combined or not with another diet counselling and antihypertensive treatment) may effectively contribute to reduce the health care costs (up to -38%). Also, we have shown that exercise improves body composition and lipid profile which are important risk factors to development of cardiovascular disease. So, exercise can lead to significant reduction in blood pressure medication use and, therefore, it causes cost savings, justifying the implementation of exercise programs in all healthcare units.

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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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Activity of clotting factor VIII has been shown to acutely increase with sympathetic nervous system stimulation. We investigated whether aspirin and propranolol affect the responsiveness of plasma clotting factor VIII activity levels to acute psychosocial stress. We randomized 54 healthy subjects double-blind to 5-day treatment with a single daily oral dosage of either 100 mg aspirin plus 80 mg propranolol combined, 100 mg of aspirin, 80 mg of propranolol, or placebo medication. Thereafter, subjects underwent a 13-min standardized psychosocial stressor. Plasma levels of clotting factor VIII activity were determined immediately before, immediately after, 45 min and 105 min after stress. Controlling for demographic, metabolic, and life style factors repeated measures analysis of covariance showed that the change in clotting factor VIII activity from prestress to 105 min poststress differed between medication groups (P = 0.023; partial eta = 0.132). The clotting factor VIII activity level decreased from prestress to immediately poststress in the aspirin/propranolol group relative to the placebo group (P = 0.048) and the aspirin group (P < 0.06). Between 45 min and 105 min poststress, clotting factor VIII levels increased in the aspirin/propranolol group relative to the placebo group (P = 0.007) and the aspirin group (P = 0.039). The stress response in clotting factor VIII activity levels was not significantly different between the aspirin/propranolol group and the propranolol group. Propranolol in combination with aspirin diminished the acute response in clotting factor VIII activity to psychosocial stress compared with placebo medication and aspirin alone. The effect of single aspirin on the acute clotting factor VIII stress response was indistinguishable from a placebo effect.

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Complementary and alternative medicine (CAM) is popular in Germany. In a consecutive survey the experiences with CAM and the need for a CAM consultation among inpatients of the departments of cardiology (CL), gastroenterology (GE), oncology (OL) and psychosomatics (PS) of the University Hospital Freiburg (FUH) were questionned. Exclusion criteria were inability to understand the questions or a Karnofsky Index < 30%. Four hundred thirty-five patients were included. Three hundred and fifty patients, 100 each in the departments of CL, GE and OL, and 50 in PS answered the questionnaires. Eighty-five patients (20%) refused. Among the 350 patients 26% had previously visited a CAM physician and 19% had visited a CAM therapist (Heilpraktiker). Information about CAM was obtained mainly by television, radio and family members. Frequently used therapies for the current disease were physical training (21%), diet (19%), massage (19%), vitamins/trace elements (19%), herbs (13%), acupuncture (10%) and homeopathy (7%). The highest frequency of CAM use had PS patients, followed by GE, OL and CL patients. High effectivity (> or = 70%) for the current disease, rated on a scale of 4 degrees, had for CL patients physical exercise and massage, for GE patients herbal treatment and for OL patients diet. Physical exercise, diet, massage and herbal treatment generally had better ratings than homeopathy, acupuncture and vitamins. 65% would welcome a CAM center and 53% asked for a consultation about CAM at FUH. OL and GE patients had the strongest (58%), PS patients a lower (52%) and patients with cardiovascular diseases the lowest (43%) interest in a CAM consultation. Twenty-five percent believed, that CAM can help to cope better with their disease. Predictors for a positive attitude towards CAM were young age, aversion to chemical medications (Spearman correlation r = 0.22), desire to participate in therapeutic decisions (r = 0.29), motivation to change, if recommended, the life style (r = 0.31) and desire for a holistic treatment (r = 0.37).

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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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Previous research supports the hypothesis that a "rich" diet (i.e., high in fat and low in fiber) increases the risk of colon cancer. Previous research also supports the hypothesis that physical inactivity increases the risk of colon cancer, perhaps because physical inactivity decreases gut motility, thereby increasing tee time that carcinogens are in contact with the intestinal mucosa. Habitual physical inactivity, combined with rich diet, ordinarily results in chronic energy imbalance and gain in weight, except when energy balance is modified by disease or factors such as cigarette smoking. Cigarette smokers typically stay lean because of effects of smoking on the resting metabolic rate as well as on efficiency of caloric intake and storage. Therefore, if physical inactivity and rich diet do increase the risk of colon cancer, then weight gain during young adulthood should be positively associated with incidence of colon cancer during later life, especially in nonsmokers.^ This hypothesis was investigated in a cohort of 2,059 randomly selected middle-aged men who were employed at the Western Electric Company in Chicago and were free of clinically diagnosed cancer at initial examination in 1958. Body mass index (BMI) in middle age was calculated from measured height and weight at the initial examination. BMI at age 20 was estimated from weight at age 20 as recalled at the initial examination and height as measured at the initial examination. Change in BMI between age 20 and middle age was estimated by subtracting the BMI at 20 from the BMI in middle age. Forty-nine incident cases of colon cancer were detected during 25 years (43,326 person-years) at risk. When stratified by level of change in BMI from age 20 to middle age ($\le$1.9, 2.0-3.9, 4.0-5.9, $\ge$6.0 kg/m$\sp2$), age-adjusted relative hazards of colon cancer in never-smokers were 1.00, 1.22, 2.31, and 5.01, respectively (p for trend = 0.008); corresponding values in ever-smokers were 1.00, 0.95, 0.77, and 0.87, These associations did not change appreciably after further adjustment for BMI at age 20, subscapular-triceps skinfold ratio, cigarette smoking, consumption of alcohol, energy, fat, and calcium.^ We also investigated the hypothesis that the risk of colon cancer was higher in men who were lean at age 20 and became fat by middle age (lean-to-fat) than in men who were fat at age 20 and stayed fat in middle-age (fat-to-fat). "Lean" was defined as BMI $<$24 kg/m$\sp2$ at age 20 and as BMI $<$27.0 kg/m$\sp2$ in middle age. Among never-smokers, in comparison to men who were lean at age 20 and in middle age (lean-to-lean), the age-adjusted relative hazard of colon cancer was 1.43 in the fat-to-fat group (95% confidence interval (CI) 0.37-5.52) and 3.36 in the lean-to-fat group (95% CI 1.21-9.37). This investigation provides new results on the magnitude of risk of colon cancer associated with weight gain during adulthood (from age 20 to middle age). This relation was obscured or underestimated in previous studies due to effect-modification by cigarette smoking. Finally, the result supports the idea that a life-style characterized by chronic energy imbalance during young adulthood increases risk of colon cancer. ^

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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.

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BACKGROUND: Statin prescribing and healthy lifestyles contribute to declining cardiovascular disease mortality. Recent guidelines emphasise the importance of giving lifestyle advice in association with prescribing statins but adherence to healthy lifestyle recommendations is sub-optimal. However, little is known about any change in patients' lifestyle behaviours when starting statins or of their recall of receiving advice. This study aimed to examine patients' diet and physical activity (PA) behaviours and their recall of lifestyle advice following initiation of statin prescribing in primary care.

METHOD: In 12 general practices, patients with a recent initial prescription of statin therapy, were invited to participate. Those who agreed received a food diary by post, to record food consumed over 4 consecutive days and return to the researcher. We also telephoned participants to administer brief validated questionnaires to assess typical daily diet (DINE) and PA level (Godin). Using the same methods, food diaries and questionnaires were repeated 3 months later. At both times participants were asked if they had changed their behaviour or received advice about their diet or PA.

RESULTS: Of 384 invited, 122 (32 %) participated; 109 (89.3 %) completed paired datasets; 50 (45.9 %) were male; their mean age was 64 years. 53.2 % (58/109) recalled receiving lifestyle advice. Of those who did, 69.0 % (40/58) reported having changed their diet or PA, compared to 31.4 % (16/51) of those who did not recall receiving advice. Initial mean daily saturated fat intake (12.9 % (SD3.5) of total energy) was higher than recommended; mean fibre intake (13.8 g/day (SD5.5)), fruit/vegetable consumption (2.7 portions/day (SD1.3)) and PA levels (Godin score 7.1 (SD13.9)) were low. Overall, although some individuals showed evidence of behaviour change, there were no significant changes in the proportions who reported high or medium fat intake (42.2 % v 49.5 %), low fibre (51.4 % v 55.0 %), or insufficient PA (80.7 % v 83.5 %) at 3-month follow-up.

CONCLUSION: Whilst approximately half of our cohort recalled receiving lifestyle advice associated with statin prescribing this did not translate into significant changes in diet or PA. Further research is needed to explore gaps between people's knowledge and behaviours and determine how best to provide advice that supports behaviour change.

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In view of a field research carried out by a team connected to the universe of body modification, it is possible to discern some uses and meanings linked to these forms of body interventions. Body modification or body change is part of the circuit of piercings and tattoos, although they are socially less thinned and more extreme, like scarifications, subcutaneous implants, bifurcated tongues, surfaces and body suspensions. The aim of this paper is to cast an anthropological glance on these practices, joining at the same context all the subjects involved with these techniques, placing them inside the same relational focus and capturing their journeys and trajectories. The discussions are concentrated on the notion of body building and urban life style. Ideas as personal distinctness and prestige imitation are also present in this universe, as well as matters attached to genre, pleasure, art, and to the so-called alternative circuit . This way, the ethnography so far presented here, reveals the complex and contemporaneous character of these practices of body markings in which the body appears as the central element in the experiences of the subjects of this study

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Adolescents - defined as young people between 10 and 19 years of age1 - are, in general, a relatively healthy segment of the population.2 However, the developmental changes that take place during adolescence may affect their subsequent risk for diseases and for a variety of health-related behaviors. In fact, early onset of preventable health problems (e.g. obesity, malnutrition, STDs) and the engagement in health risk behaviors (e.g., sedentary life style, excessive alcohol consumption, unprotected sex) during adolescence, are likely to put them at greater risk for physical and mental health problems at a later stage in life. Moreover, health related problems and health risk behaviors may disrupt adolescents' physical and cognitive development and therefore may affect their ability to think and act in relation to decisions about their health in the future.1 In summary, health-related behaviors in adolescence, apart from their influence on the continuum of "health-disease", they also have the potential to influence future behaviors. In fact, several studies have shown that past behaviors are good predictors of future behaviors .3,4 Thus, promoting healthy practices during adolescence and taking measures to better protect young people from health risks are essential for the prevention of health problems in adulthood.5 According to the World Health Organization, the main problems affecting young people include mental health problems (such as behavioral disorders, eating disorders, suicide, anxiety or depression), the use of substances (illegal substances, alcohol and tobacco), interpersonal violence, nutrition (a proper nutrition consists of healthy eating habits and physical exercise), unintentional injuries (which are a leading cause of death and disability among young people, with road traffic injuries accounting for about 700 deaths per day), sexual and reproductive health (for example, risky sexual behaviors, early pregnancy and childbirth) and HIV (resulting from sexual transmission and drug injection).5,6 On the other hand, the number of children and youth with chronic health conditions has increased dramatically in the past four decades7 as larger numbers of chronically ill children survive beyond the age of 10.8 Despite the lack of data on adolescents' health making it difficult to determine the prevalence of chronic illnesses in this age group9, it is known that one in ten adolescents suffers from a chronic condition worldwide.10 In fact, national population based studies from Western countries show that 20-30% of teenagers have a chronic illness, defined as one that lasts longer than six months.8 The most prevalent chronic illness among adolescents is asthma and the one with the highest incidence is diabetes mellitus, particularly type II.9 Traditionally, healthcare professionals have been mainly investing in health education activities, through the transmission of knowledge with a view to creating habits, customs and behaviors, and promoting healthy lifestyles. However, empowering people does not only consist of giving them the right information11 , i.e. good information is not enough to cause people to make changes.12 The motivation or desire to change unhealthy behaviors and habits depends on many factors, namely intrinsic motivation, control over personal decisions, self-confidence and perception of effectiveness, personal ambivalence, and individualized assistance.12 Many professionals assume that supplying knowledge is sufficient for behavioral changes; however, even very good advice often fails to generate behavioral change. After all, people continue to engage in unhealthy behaviors despite clearly knowing what they should do and how to change. "What is lacking is the motivation to apply that knowledge".13, p.1233 In fact, behavioral change is a complex phenomenon with multiple determinants that also includes motivational variables. It is associated with ambivalent processes expressed in the dilemma between keeping the current status and moving on to new ways of acting. For example, telling adolescents that if they keep on engaging in a certain behavior, they are increasing the risk of developing a long-term condition such as cardiovascular disease, stroke or diabetes is rarely enough to trigger the desired behavioral change; people are more likely to change when they believe that the change is really effective and that they are able to implement it.12 Therefore, it is essential to provide specific training for "healthcare professionals to master motivational techniques, avoid confrontation with the users, and facilitate behavioral changes".14 In this context, motivating patients to make behavioral changes is also an important nursing task where change in lifestyle is a major element of patients' treatment and preventive interventions.15 One of the nurse's goals is to help improve a patient's health or help them to manage existing health conditions. Once nurses are in a position where they have to focus on accomplishing tasks and telling patients what needs to be accomplished16, the role of the nurse is expanding even more into the use of motivational strategies.17 MI is bringing nurses back to therapeutic communication and moving them closer to successful health promotion and disease management, by promoting behavior change and empowering their patients. As the nursing profession evolves, MI is seen as a challenge and the basis of nurse's interactions with individuals, families and communities.16, 17 In the same way, MI may be taken as an essential tool in the provision of nursing care to adolescents, being itself a workspace with possible therapeutic effects regarding problems, clarification of doubts, and development of skills.18 In fact, MI may be particularly applicable in work with adolescents because of their specific developmental stage. Adolescents attempt to establish their own autonomy and identity while struggling with social interactions and moral issues, which leads to ambivalence.19 Consistent with the developmental challenges during adolescence, "MI explicitly honors autonomy, people's right and irrevocable ability to decide about their own behavior"20 while allowing the person to explore possibilities for change of risky or maladaptive behaviours.19 MI can be defined as a directive, client-centred counselling style for eliciting behavior change by helping clients to explore and resolve ambivalence. It is most centrally defined not by technique but by its spirit as a facilitative style of interpersonal relationship.21 It is a set of strategies and techniques widely used in clinical practice based on the transtheoretical model of change. The Stages of Change model describes five stages of readiness—precontemplation, contemplation, preparation, action, and maintenance—and provides a framework for understanding behavior change.22 The MI has been widely tested and applied in different areas, such as modification of addictive behaviors, interventions with offenders in the context of justice, eating disorders, promotion of therapeutic adherence among chronic patients, promotion of learning in school settings or intervention with adolescents at risk.18,23 In general, clinical practice has been adopting the perspective of motivation as something relatively immutable, i.e., the adolescent is either motivated for change/treatment and, in these conditions, the professional's role is to help him/her, or the adolescent is not motivated and then change/treatment is not feasible. Alternatively the theoretical model underlying the MI technique postulates that the individual's adherence to change/treatment depends on his/her motivation, which can change throughout the therapeutic intervention. As several studies found positive results for effects of MI24-26 and its use by health professionals is encouraged23,27 nurses may play an important role in patients' process of change. As nurses have a crucial role in clinical contexts, they can facilitate the process of ending risk behaviors and/or adopting positive health behaviors through some motivational techniques, namely with adolescents. A considerable number of systematic reviews about MI already exist pointing to some benefits of its use in the treatment of a broad range of behavioral problems and diseases.13,28,29 Some of the current reviews focus on examining the effectiveness of MI for adolescents with diverse health risks/problems 30-32. However, to date there are no reviews that present and assess the evidence for the use of nurse-led MI in adolescents. Therefore, we have little knowledge of what works for whom (which adolescent subpopulation) under what circumstances (in which setting, for what problem) in relation to motivational interviewing by nurses. There is a clear need for scoping or mapping the use of MI by nurses with adolescents to identify evidence gaps and to inform opportunities for future development in nursing practice. On the other hand, information regarding nurse-led implemented and evaluated interventions, techniques and/or strategies used, contexts of application and adolescents subpopulation groups is dispersed in the literature33-36 which impedes the formulation of precise questions about the effectiveness of those interventions conducted by nurses and therefore the realization of a systematic review. In other words, it is known that different kind of motivational interventions have been implemented in different contexts by nurses, however does not exist a map about all the motivational techniques and/or strategies used. Furthermore the literature does not clarify which is the role of nurses at cross professional motivational intervention implemented programs and finally the outcomes and evaluation of interventions are unclear. Thus, the practical implication of this mapping will be clarifying all these aspects. Without this clarification is not possible to proceed to the realization of a systematic review about the effectiveness of the use of motivational interviews by nurses to promote health behaviors in adolescents, in a particular context and/or health risk behavior; or regarding the effectiveness of certain technique and/or strategy of MI. Consequently, there are important questions about the nature of the evidence in this area that need to be answered before formulating a precise question of effectiveness. This scoping review aims to respond to these questions. An initial search of the JBI Database of Systematic Reviews & Implementation Reports, Cochrane Database of Systematic Reviews, , Database of promoting health effectiveness reviews (DoPHER), The Campbell Library, Medline and CINAHL, has revealed that currently there is no Scoping Review (published or in progress) on the subject. In this context, this scoping review will examine and map the published and unpublished research around the use of MI by nurses implemented and evaluated to promote health behaviors in adolescents; to establish its current extent, range and nature and identify its feasibility, outcomes and gaps in the evidence defining research priorities in this field. This scoping review will be informed by the JBI methodology37 that suggests a five stage methodological framework for conducting scoping reviews which includes: identifying the research question, searching for relevant studies, selecting studies, charting data, collating, summarizing and reporting the results.