Effectiveness of an mHealth intervention combining a smartphone app and smart band on body composition in an overweight and obese population: Randomized controlled trial (EVIDENT 3 study)

Background: Mobile health (mHealth) is currently among the supporting elements that may contribute to an improvement in health markers by helping people adopt healthier lifestyles. mHealth interventions have been widely reported to achieve greater weight loss than other approaches, but their effect on body composition remains unclear. Objective: This study aimed to assess the short-term (3 months) effectiveness of a mobile app and a smart band for losing weight and changing body composition in sedentary Spanish adults who are overweight or obese. Methods: A randomized controlled, multicenter clinical trial was conducted involving the participation of 440 subjects from primary care centers, with 231 subjects in the intervention group (IG; counselling with smartphone app and smart band) and 209 in the control group (CG; counselling only). Both groups were counselled about healthy diet and physical activity. For the 3-month intervention period, the IG was trained to use a smartphone app that involved self-monitoring and tailored feedback, as well as a smart band that recorded daily physical activity (Mi Band 2, Xiaomi). Body composition was measured using the InBody 230 bioimpedance device (InBody Co., Ltd), and physical activity was measured using the International Physical Activity Questionnaire. Results: The mHealth intervention produced a greater loss of body weight (–1.97 kg, 95% CI –2.39 to –1.54) relative to standard counselling at 3 months (–1.13 kg, 95% CI –1.56 to –0.69). Comparing groups, the IG achieved a weight loss of 0.84 kg more than the CG at 3 months. The IG showed a decrease in body fat mass (BFM; –1.84 kg, 95% CI –2.48 to –1.20), percentage of body fat (PBF; –1.22%, 95% CI –1.82% to 0.62%), and BMI (–0.77 kg/m2, 95% CI –0.96 to 0.57). No significant changes were observed in any of these parameters in men; among women, there was a significant decrease in BMI in the IG compared with the CG. When subjects were grouped according to baseline BMI, the overweight group experienced a change in BFM of –1.18 kg (95% CI –2.30 to –0.06) and BMI of –0.47 kg/m2 (95% CI –0.80 to –0.13), whereas the obese group only experienced a change in BMI of –0.53 kg/m2 (95% CI –0.86 to –0.19). When the data were analyzed according to physical activity, the moderate-vigorous physical activity group showed significant changes in BFM of –1.03 kg (95% CI –1.74 to –0.33), PBF of –0.76% (95% CI –1.32% to –0.20%), and BMI of –0.5 kg/m2 (95% CI –0.83 to –0.19). Conclusions: The results from this multicenter, randomized controlled clinical trial study show that compared with standard counselling alone, adding a self-reported app and a smart band obtained beneficial results in terms of weight loss and a reduction in BFM and PBF in female subjects with a BMI less than 30 kg/m2 and a moderate-vigorous physical activity level. Nevertheless, further studies are needed to ensure that this profile benefits more than others from this intervention and to investigate modifications of this intervention to achieve a global effect

New World Civitas, Contested Jurisdictions and Intercultural Conversation in the Construction of the Spanish Monarchy

Jurisdictional frontiers were created, contested, and negotiated among a wide range of actors, including native Americans and Europeans, with reference to the cities founded in Castilla del Oro (roughly present-day Panama). This research deals, first, with the reshaping of the concept of a city in the New World, based on its inhabitants' sense of civitas. It analyses, secondly, the creation and redefinition of jurisdiction during political conflicts and, third, the construction and maintenance of jurisdiction through local relations with indigenous populations described as "conversation". The analysis of the creation and preservation of local jurisdictions allows for an interpretation of the complexities involved in the configuration of political power and political space from below in the territories claimed by the Spanish Monarchy.Art Empir

Anosognosia in Alzheimer disease: Prevalence, associated factors, and influence on disease progression

Introduction: Anosognosia is a frequent symptom in Alzheimer disease (AD). The objective of this article is to describe prevalence of this condition at time of diagnosis and analyse any predisposing factors and their influence on disease progression. Methods: Observational, prospective, and analytical multi-centre study in an outpatient setting. Patients recently diagnosed with AD (NINCDS-ADRDA criteria) were included. Each patient underwent 2 cognitive, functional, and neuropsychiatric assessments separated by an interval of 18 months. The Clinical Insight Rating Scale was employed as a measure of anosognosia (CIR, scored 0-8). Progression was defined as an increase in the Clinical Dementia Rating Scale-sum of boxes of more than 2.5 points. The predictor variables were analysed using binary logistic regression. Results: The study included 127 patients, and 94 completed both assessments. Of the total, 31.5% displayed severe anosognosia (CIR 7-8); 39.4%, altered level of consciousness (CIR 3–6); and 29.1%, normal awareness (CIR 0-2). The median baseline CIR in this cohort was 4 (Q1–Q3: 1-7), and at 18 months, 6 (Q1–Q3: 3-8), P < .001. Advanced age (odds ratio (OR) 2.43; CI 95%: 1.14-5.19), lower educational level (OR 2.15; CI 95%: 1.01-4.58), and more marked neuropsychiatric symptoms (OR 2.66; 95% CI: 1.23-5.74) were predictor variables of anosognosia. Baseline CIR was similar in the groups with and without significant clinical progression. Conclusions: The large majority of patients with AD at the time of diagnosis showed significant anosognosia, and this condition was associated with advanced age, lower educational level, and more marked behavioural symptoms. Our results did not show that anosognosia had an effect on the initial clinical progression of AD after diagnosis. Resumen: Introducción: La anosognosia es frecuente en la enfermedad de Alzheimer (EA). El objetivo fue describir su prevalencia en el momento del diagnóstico y analizar los factores predisponentes y su influencia en la evolución posterior de la EA. Métodos: Estudio observacional, multicéntrico, prospectivo, analítico, realizado en consultas de neurología general. Se incluyó a pacientes recién diagnosticados de EA (criterios NINCDS-ADRDA). Se realizaron 2 evaluaciones — cognitivas, funcionales y neuropsiquiátricas—, con un intervalo de 18 meses. Se empleó la Clinical Insight Rating scale como medida de anosognosia (CIR, rango 0-8). El criterio de progresión fue un incremento en la Clinical Dementia Rating-sum of boxes mayor a 2,5 puntos. Las variables predictoras se analizaron mediante regresión logística. Resultados: Se incluyó a 127 pacientes, 94 completaron las 2 evaluaciones. El 31,5% mostraba anosognosia grave (CIR 7-8), el 39,4% conciencia alterada (CIR 3-6) y el 29,1% conciencia normal (CIR 0-2). La mediana del CIR basal en la cohorte fue 4 (Q1-Q3: 1-7) y a los 18 meses 6 (Q1-Q3: 3-8); p < 0,001. La edad avanzada (odds ratio [OR] 2,43; IC del 95%, 1,14-5,19), menor escolaridad (OR 2,15; IC del 95%, 1,01-4,58) y mayor afectación neuropsiquiátrica (OR 2,66; IC del 95%, 1,23-5,74) fueron variables predictoras de anosognosia. El CIR basal fue similar en los grupos con y sin progresión clínica significativa. Conclusiones: La gran mayoría de los pacientes con EA en el momento del diagnóstico muestran un grado significativo de anosognosia que se asocia a mayor edad, menor escolaridad y mayor afectación conductual. No se demostró influencia de la anosognosia sobre la evolución inicial de la EA tras el diagnóstico. Keywords: Dementia, Alzheimer disease, Anosognosia, Prevalence, Prospective study, Palabras clave: Demencia, Enfermedad de Alzheimer, Anosognosia, Prevalencia, Estudio prospectiv

Anosognosia en la enfermedad de Alzheimer: prevalencia, factores asociados e influencia en la evolución de la enfermedad

Resumen: Introducción: La anosognosia es frecuente en la enfermedad de Alzheimer (EA). El objetivo fue describir su prevalencia en el momento del diagnóstico y analizar los factores predisponentes y su influencia en la evolución posterior de la EA. Métodos: Estudio observacional, multicéntrico, prospectivo, analítico, realizado en consultas de neurología general. Se incluyó a pacientes recién diagnosticados de EA (criterios NINCDS-ADRDA). Se realizaron 2 evaluaciones —cognitivas, funcionales y neuropsiquiátricas—, con un intervalo de 18 meses. Se empleó la Clinical Insight Rating scale como medida de anosognosia (CIR, rango 0-8). El criterio de progresión fue un incremento en la Clinical Dementia Rating-sum of boxes mayor a 2,5 puntos. Las variables predictoras se analizaron mediante regresión logística. Resultados: Se incluyó a 127 pacientes, 94 completaron las 2 evaluaciones. El 31,5% mostraba anosognosia grave (CIR 7-8), el 39,4% conciencia alterada (CIR 3-6) y el 29,1% conciencia normal (CIR 0-2). La mediana del CIR basal en la cohorte fue 4 (Q1-Q3: 1-7) y a los 18 meses 6 (Q1-Q3: 3-8); p < 0,001. La edad avanzada (odds ratio [OR] 2,43; IC del 95%, 1,14-5,19), menor escolaridad (OR 2,15; IC del 95%, 1,01-4,58) y mayor afectación neuropsiquiátrica (OR 2,66; IC del 95%, 1,23-5,74) fueron variables predictoras de anosognosia. El CIR basal fue similar en los grupos con y sin progresión clínica significativa. Conclusiones: La gran mayoría de los pacientes con EA en el momento del diagnóstico muestran un grado significativo de anosognosia que se asocia a mayor edad, menor escolaridad y mayor afectación conductual. No se demostró influencia de la anosognosia sobre la evolución inicial de la EA tras el diagnóstico. Abstract: Introduction: Anosognosia is a frequent symptom in Alzheimer disease (AD). The objective of this article is to describe prevalence of this condition at time of diagnosis and analyse any predisposing factors and their influence on disease progression. Methods: Observational, prospective, and analytical multi-centre study in an outpatient setting. Patients recently diagnosed with AD (NINCDS-ADRDA criteria) were included. Each patient underwent two cognitive, functional, and neuropsychiatric assessments separated by an interval of 18 months. The Clinical Insight Rating Scale was employed as a measure of anosognosia (CIR, scored 0-8). Progression was defined as an increase in the Clinical Dementia Rating Scale-sum of boxes of more than 2.5 points. The predictor variables were analysed using binary logistic regression. Results: The study included 127 patients, and 94 completed both assessments. Of the total, 31.5% displayed severe anosognosia (CIR 7-8); 39.4%, altered level of consciousness (CIR 3-6); and 29.1%, normal awareness (CIR 0-2). The median baseline CIR in this cohort was 4 (Q1-Q3: 1-7), and at 18 months, 6 (Q1-Q3: 3-8), P<.001. Advanced age (odds ratio (OR) 2.43; CI 95%:1.14-5.19), lower educational level (OR 2.15; CI 95%:1.01-4.58), and more marked neuropsychiatric symptoms (OR 2.66; CI 95%:1.23-5.74) were predictor variables of anosognosia. Baseline CIR was similar in the groups with and without significant clinical progression. Conclusions: The large majority of patients with AD at the time of diagnosis showed significant anosognosia, and this condition was associated with advanced age, lower educational level, and more marked behavioural symptoms. Our results did not show that anosognosia had an effect on the initial clinical progression of AD after diagnosis. Palabras clave: Demencia, Enfermedad de Alzheimer, Anosognosia, Prevalencia, Estudio prospectivo, Keywords: Dementia, Alzheimer disease, Anosognosia, Prevalence, Prospective stud