297 research outputs found
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
Comparison Of Withings Bodycardio To Gold Standard Measurements Of Pulse-Wave Velocity And Body Compositon
General Wellness Products (GWP) are widely used by consumers, human physiology scientists, and healthcare practitioners. However, current research on GWP accuracy is limited and often reports large inaccuracies. Purpose: The purpose of this study was to assess the Withings BodyCardio for accuracy in the measurement of body composition and arterial health when compared against gold standard laboratory measurements. Methods: Healthy, young males (N=10) and females (N=10) were assessed for measures of body composition and pulse-wave velocity (PWV) in a randomized order utilizing air displacement plethysmography (BodPod), applanation tonometry (SphygmoCor), and the Withings BodyCardio. Measures of body composition and PWV were compared with criterion measures using the Bland-Altman analysis and mean absolute percent error (MAPE). Results: Data is reported as Bias (95% Confidence Interval). The BodyCardio overestimated PWV by 0.68 m/s (-0.16, 1.51) and fat mass by 2.91 kg (-2.91, 8.73). BodyCardio PWV and fat mass estimations had a MAPE of 9.7% and 25.8%, respectively. The BodyCardio underestimated body mass and fat-free mass by 0.11 kg (-0.41, 0.18) and 2.87 kg (-9.04, 3.30), respectively. BodyCardio body mass and fat-free mass estimations had a MAPE of 0.15% and 5.6%, respectively. Discussion: The Withings BodyCardio should be used cautiously for measures of fat mass and fat-free mass, although it provides accurate measures of body mass and PWV
Associations Between Visceral Adipose Tissue Estimates Produced By Near-Infrared Spectroscopy, Mobile Anthropometrics, and Traditional Body Composition Assessments and Estimates Derived From Dual-Energy X-Ray Absorptiometry
Assessments of visceral adipose tissue (VAT) are critical in preventing metabolic disorders; however, there are limited measurement methods that are accurate and accessible for VAT. The purpose of this cross-sectional study was to evaluate the association between VAT estimates from consumer-grade devices and traditional anthropometrics and VAT and subcutaneous adipose tissue (SAT) from dual-energy X-ray absorptiometry (DXA). Data were collected from 182 participants (female = 114; White = 127; Black/African-American (BAA) = 48) which included anthropometrics and indices of VAT produced by near-infrared reactance spectroscopy (NIRS), visual body composition (VBC) and multifrequency BIA (MFBIA). VAT and SAT were collected using DXA. Bivariate and partial correlations were calculated between DXAVAT and DXASAT and other VAT estimates. All VAT indices had positive moderate–strong correlations with VAT (all P \u3c 0·001) and SAT (all P \u3c 0·001). Only waist:hip (r = 0·69), VATVBC (r = 0·84), and VATMFBIA (r = 0·86) had stronger associations with VAT than SAT (P \u3c 0·001). Partial associations between VATVBC and VATMFBIA were only stronger for VAT than SAT in White participants (r = 0·67, P \u3c 0·001) but not female, male, or BAA participants individually. Partial correlations for waist:hip were stronger for VAT than SAT, but only for male (r = 0·40, P \u3c 0·010) or White participants (r = 0·48, P \u3c 0·001). NIRS was amongst the weakest predictors of VAT which was highest in male participants (r = 0·39, P \u3c 0·010) but non-existent in BAA participants (r = –0·02, P \u3e 0·050) after adjusting for SAT. Both anthropometric and consumer-grade VAT indices are consistently better predictors of SAT than VAT. These data highlight the need for a standardised, but convenient, VAT estimation protocol that can account for the relationship between SAT and VAT that differs by sex/race
Systems and WBANs for Controlling Obesity
According to World Health Organization (WHO) estimations, one out of five adults worldwide will be obese by 2025. Worldwide obesity has doubled since 1980. In fact, more than 1.9 billion adults (39%) of 18 years and older were overweight and over 600 million (13%) of these were obese in 2014. 42 million children under the age of five were overweight or obese in 2014. Obesity is a top public health problem due to its associated morbidity and mortality. This paper reviews the main techniques to measure the level of obesity and body fat percentage, and explains the complications that can carry to the individual's quality of life, longevity and the significant cost of healthcare systems. Researchers and developers are adapting the existing technology, as intelligent phones or some wearable gadgets to be used for controlling obesity. They include the promoting of healthy eating culture and adopting the physical activity lifestyle. The paper also shows a comprehensive study of the most used mobile applications and Wireless Body Area Networks focused on controlling the obesity and overweight. Finally, this paper proposes an intelligent architecture that takes into account both, physiological and cognitive aspects to reduce the degree of obesity and overweight
Measurement Tools of Pediatric Nutrition and Health Suitable or Adaptable for Low- and Middle-Income Countries in Field Research Settings
Background: Micronutrient status, body composition, gastrointestinal (GI) functioning, and neurological functioning are important facets of pediatric nutrition and health. When studied in low- and middle-income countries (LMIC), information about these elements is usually obtained via standardized surveys and traditional anthropometry. While convenient, these evaluations offer limited information that may be prone to error and bias. However, a variety of underutilized objective measurement tools exist which can promote a more objective, comprehensive, and deeper understanding of these aspects of pediatric nutrition and health in LMIC.
Objective: Identify field-friendly, relatively low-cost, and portable tools that provide objective measurements of micronutrient status, body composition, GI functioning, and neurological functioning in young children.
Methods: A narrative review of the literature was conducted to assess the state-of-the-art field-friendly research tools targeting micronutrient status, body composition, GI functioning, and neurological functioning in children in LMIC.
Results: A number of field-friendly tools addressing the domains of micronutrient status, GI health, body composition, and neurological functioning were identified. While many tools remain to be fully validated, these tools have yet to be used to their full potential in field-based pediatric nutrition and health research in LMICs.
Conclusions: More robust, field-friendly assessment methods will help to refine knowledge on the state of pediatric health of vulnerable children in LMIC. Such awareness could contribute to the design of interventions, programs and policies, and further research
Comparison of bioelectrical impedance analysis with DXA in adolescents with cystic fibrosis before and after a resistance training intervention
BACKGROUND: The purpose of this pilot study was to compare body composition metrics obtained by two portable bioelectrical impedance analysis (BIA) devices with dual-energy X-ray absorptiometry (DXA) among adolescents with cystic fibrosis (CF) before and after a resistance exercise training program.
METHODS: Participants with CF were assessed using DXA, single-frequency BIA (SFBIA), and multiple-frequency BIA (MFBIA) to quantify percent body fat (%Fat), fat mass (FM), and fat-free mass (FFM) at baseline and after a home-based resistance training intervention comprised of 36, 1 h sessions completed in 12-14 weeks. Repeated measures analysis of variance, paired samples
RESULTS: Ten participants (15.8 ± 2.2 yr, 60.1 ± 15.1 kg) completed the assessments. At baseline, both SFBIA and MFBIA scales significantly underestimated %Fat and FM and overestimated FFM, with small to moderate effect sizes. Post-intervention, small, non-significant differences were found between DXA and both BIA scales for all body composition metrics. Significant changes in %Fat and FFM were observed with DXA. MFBIA displayed less constant error than SFBIA when compared to DXA for pre- and post-intervention assessments for %Fat (MFBIA: pre and post -2.8 and -0.8 vs. SFBIA: -4.6 and -2.0), FM (-0.4 and -0.4 vs. -3.0 and -1.1), and FFM (+0.8 and +0.6 vs. +3.1 and +1.3). Near-perfect correlations were observed at both time points between DXA and each BIA scale
Mobile applications for the sport and exercise nutritionist: a narrative review
Mobile technology is widespread in modern society, and the applications (apps) that they run can serve various purposes. Features such as portability, ease of communication, storage, and relative low cost may make such technology attractive to practitioners in several fields. This review provides a critical narrative on the existing literature for apps relevant to the field of sport and exercise nutrition. Three main areas are discussed: (1) dietary analysis of athletes, (2) nutrition education for athletes, (3) estimating body composition. The key purpose of the review was to identify what literature is available, in what areas apps may have a benefit over traditional methods, and considerations that practitioners should make before they implement apps into their practice or recommend their use to coaches and athletes
EVIDENT 3 Study: A randomized, controlled clinical trial to reduce inactivity and caloric intake in sedentary and overweight or obese people using a smartphone application: Study protocol
Introduction: Mobile technology, when included within multicomponent interventions, could contribute to more effective weight loss. The objective of this project is to assess the impact of adding the use of the EVIDENT 3 application, designed to promote healthy living habits, to traditional modification strategies employed for weight loss. Other targeted behaviors (walking, caloric-intake, sitting time) and outcomes (quality of life, inflammatory markers, measurements of arterial aging) will also be evaluated. Methods: Randomized, multicentre clinical trial with 2 parallel groups. The study will be conducted in the primary care setting and will include 700 subjects 20 to 65 years, with a body mass index (27.5-40kg/m2), who are clinically classified as sedentary. The primary outcome will be weight loss. Secondary outcomes will include change in walking (steps/d), sitting time (min/wk), caloric intake (kcal/d), quality of life, arterial aging (augmentation index), and pro-inflammatory marker levels. Outcomes will be measured at baseline, after 3 months, and after 1 year. Participants will be randomly assigned to either the intervention group (IG) or the control group (CG). Both groups will receive the traditional primary care lifestyle counseling prior to randomization. The subjects in the IG will be lent a smartphone and a smartband for a 3-month period, corresponding to the length of the intervention. The EVIDENT 3 application integrates the information collected by the smartband on physical activity and the self-reported information by participants on daily food intake. Using this information, the application generates recommendations and personalized goals for weight loss. Discussion: There is a great diversity in the applications used obtaining different results on lifestyle improvement and weight loss. The populations studied are not homogeneous and generate different results. The results of this study will help our understanding of the efficacy of new technologies, combined with traditional counseling, towards reducing obesity and enabling healthier lifestyles. Ethicsanddissemination: The study was approved by the Clinical Research Ethics Committee of the Health Area of Salamanca ("CREC of Health Area of Salamanca") on April 2016. A SPIRIT checklist is available for this protocol. The trial was registered in ClinicalTrials.gov provided by the US National Library of Medicine-number NCT03175614
EVIDENT 3 study: A randomized, controlled clinical trial to reduce inactivity and caloric intake in sedentary and overweight or obese people using a smartphone application study protocol
FUNDAMENTOS: La tecnología móvil, cuando se incluye dentro de las intervenciones de componentes múltiples, podría contribuir a una pérdida de peso más efectiva. El objetivo de este proyecto es evaluar el impacto de añadir el uso de la aplicación EVIDENT 3, diseñada para promover la salud
a los hábitos de vida, a las estrategias de modificación tradicionales empleadas para la pérdida de peso. También se evaluarán otras conductas específicas (caminar, ingesta de calorías, tiempo sentado) y resultados (calidad de vida, marcadores inflamatorios, mediciones del envejecimiento arterial).
MÉTODOS: Ensayo clínico aleatorio y multicéntrico con 2 grupos paralelos. El estudio se llevará a cabo en el ámbito de la atención primaria e incluirá 700 sujetos de 20 a 65 años, con un índice de masa corporal (27,5-40kg/m2), que están clínicamente clasificados como sedentarios. El resultado primario será la pérdida de peso. Los resultados secundarios incluirán cambios en la forma de caminar (pasos/d), el tiempo de permanencia sentado (min/sem), la ingesta calórica (kcal/d), la calidad de vida, el envejecimiento arterial (índice de aumento) y los niveles de marcadores proinflamatorios. Los resultados se medirán en la línea de base, después de 3 meses y después de 1 año. Los participantes serán asignados aleatoriamente al grupo de intervención (IG) o al grupo de control (CG). Ambos grupos recibirán el asesoramiento tradicional de estilo de vida de atención primaria antes de la asignación al azar. A los sujetos del IG se les prestará un teléfono inteligente y una banda inteligente por un período de 3 meses, correspondiente a la duración de la intervención. La aplicación del EVIDENTE 3 integra la información recogida por la banda inteligente sobre la actividad física y la información autodeclarada por los participantes sobre la ingesta diaria de alimentos. Utilizando esta información, la aplicación genera recomendaciones y objetivos personalizados para la pérdida de peso.
DISCUSIÓN: Hay una gran diversidad en las aplicaciones utilizadas obteniendo diferentes resultados en la mejora del estilo de vida y la pérdida de peso. Las poblaciones estudiadas no son homogéneas y generan resultados diferentes. Los resultados de este estudio ayudarán a nuestra comprensión de
la eficacia de las nuevas tecnologías, combinadas con el asesoramiento tradicional, para reducir la obesidad y permitir estilos de vida más saludables.INTRODUCTION: Mobile technology, when included within multicomponent interventions, could contribute to more effective weight loss. The objective of this project is to assess the impact of adding the use of the EVIDENT 3 application, designed to promote healthy
living habits, to traditional modification strategies employed for weight loss. Other targeted behaviors (walking, caloric-intake, sitting time) and outcomes (quality of life, inflammatory markers, measurements of arterial aging) will also be evaluated.
METHODS: Randomized, multicentre clinical trial with 2 parallel groups. The study will be conducted in the primary care setting and will include 700 subjects 20 to 65 years, with a body mass index (27.5–40kg/m2), who are clinically classified as sedentary. The primary outcome will be weight loss. Secondary outcomes will include change in walking (steps/d), sitting time (min/wk), caloric intake (kcal/d), quality of life, arterial aging (augmentation index), and pro-inflammatory marker levels. Outcomes will be measured at baseline, after 3 months, and after 1 year. Participants will be randomly assigned to either the intervention group (IG) or the control group (CG). Both groups will receive the traditional primary care lifestyle counseling prior to randomization. The subjects in the IG will be lent a smartphone and a smartband for a 3-month period, corresponding to the length of the intervention. The EVIDENT 3 application integrates the information collected by the smartband on physical activity and the self-reported information by participants on daily food intake. Using this information, the application generates recommendations and personalized goals for weight loss.
DISCUSSION: There is a great diversity in the applications used obtaining different results on lifestyle improvement and weight loss. The populations studied are not homogeneous and generate different results. The results of this study will help our understanding of
the efficacy of new technologies, combined with traditional counseling, towards reducing obesity and enabling healthier lifestyles.• Ministerio de Ciencia e Innovación y el Instituto de Salud Carlos III/Europa y Fondo de Desarrollo Regional (FEDER). Proyectos PI16/00101, PI16/00952, PI16/00765, PI16/00659, PI16/00421, PI16/00170
• Junta de Castilla y León. Ayuda GRS 1277/B/16peerReviewe
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