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Título
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)
Autor(es)
Palabras clave
Diet records
Mobile app
Telemedicine
Electric impedance
Obesity
Body fat distribution
Weight control
Fecha de publicación
2020
Editor
JMIR Publications
Citación
Lugones-Sanchez, C., Sanchez-Calavera, M. A., Repiso-Gento, I., Adalia, E. G., Ramirez-Manent, J. I., Agudo-Conde, C., ... & EVIDENT 3 Investigators. (2020). 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). JMIR mHealth and uHealth, 8(11), e21771. http://dx.doi.org/10.2196/21771
Resumen
[EN]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.
URI
DOI
10.2196/21771
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