The Effectiveness of a Smartphone Application on Modifying the Intakes of Macro and Micronutrients in Primary Care: A Randomized Controlled Trial. The EVIDENT II Study

Background: This study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long term (12 months). Methods: A randomized, controlled, multicenter clinical trial was conducted involving the participation of 833 subjects from...

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Published inNutrients Vol. 10; no. 10; p. 1473
Main Authors Recio-Rodriguez, Jose I., Agudo Conde, Cristina, Calvo-Aponte, Maria J., Gonzalez-Viejo, Natividad, Fernandez-Alonso, Carmen, Mendizabal-Gallastegui, Nere, Rodriguez-Martin, Beatriz, Maderuelo-Fernandez, Jose A., Rodriguez-Sanchez, Emiliano, Gomez-Marcos, Manuel A., Garcia-Ortiz, Luis
Format Journal Article
LanguageEnglish
Published Switzerland MDPI 10.10.2018
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ISSN2072-6643
2072-6643
DOI10.3390/nu10101473

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Abstract Background: This study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long term (12 months). Methods: A randomized, controlled, multicenter clinical trial was conducted involving the participation of 833 subjects from primary care clinics (415 to the intervention (counseling + application) group (IG) and 418 to the control (counseling) group (CG)). Both groups were counseled about a healthy diet and physical activity. For the 3-month intervention period, the IG was also trained to use a diet smartphone application that involved dietary self-monitoring and tailored feedback. Nutritional composition was estimated using a self-reported food frequency questionnaire. Results: An analysis of repeated measures revealed an interaction between the group and the percentages of carbohydrates (p = 0.031), fats (p = 0.015) and saturated fats (p = 0.035) consumed. Both groups decreased their energy intake (Kcal) at 12 months (IG: −114 (95% CI: −191 to −36); CG: −108 (95% CI: −184 to −31)). The IG reported a higher percentage intake of carbohydrates (1.1%; 95% CI: 0.1 to 2.0), and lower percentage intakes of fats (−1.0%; 95% CI: −1.9 to −0.1) and saturated fats (−0.4%; 95%CI: −0.8 to −0.1) when compared to the CG. Conclusions: Better results were achieved in terms of modifying usual diet composition from counseling and the diet smartphone application compared to counseling alone. This was evaluated by a self-reported questionnaire, which indicated an increased percentage intake of carbohydrates, and decreased percentage intakes of fats and saturated fats.
AbstractList Background: This study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long term (12 months). Methods: A randomized, controlled, multicenter clinical trial was conducted involving the participation of 833 subjects from primary care clinics (415 to the intervention (counseling + application) group (IG) and 418 to the control (counseling) group (CG)). Both groups were counseled about a healthy diet and physical activity. For the 3-month intervention period, the IG was also trained to use a diet smartphone application that involved dietary self-monitoring and tailored feedback. Nutritional composition was estimated using a self-reported food frequency questionnaire. Results: An analysis of repeated measures revealed an interaction between the group and the percentages of carbohydrates (p = 0.031), fats (p = 0.015) and saturated fats (p = 0.035) consumed. Both groups decreased their energy intake (Kcal) at 12 months (IG: −114 (95% CI: −191 to −36); CG: −108 (95% CI: −184 to −31)). The IG reported a higher percentage intake of carbohydrates (1.1%; 95% CI: 0.1 to 2.0), and lower percentage intakes of fats (−1.0%; 95% CI: −1.9 to −0.1) and saturated fats (−0.4%; 95%CI: −0.8 to −0.1) when compared to the CG. Conclusions: Better results were achieved in terms of modifying usual diet composition from counseling and the diet smartphone application compared to counseling alone. This was evaluated by a self-reported questionnaire, which indicated an increased percentage intake of carbohydrates, and decreased percentage intakes of fats and saturated fats.
Background: This study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long term (12 months). Methods: A randomized, controlled, multicenter clinical trial was conducted involving the participation of 833 subjects from primary care clinics (415 to the intervention (counseling + application) group (IG) and 418 to the control (counseling) group (CG)). Both groups were counseled about a healthy diet and physical activity. For the 3-month intervention period, the IG was also trained to use a diet smartphone application that involved dietary self-monitoring and tailored feedback. Nutritional composition was estimated using a self-reported food frequency questionnaire. Results: An analysis of repeated measures revealed an interaction between the group and the percentages of carbohydrates ( p = 0.031), fats ( p = 0.015) and saturated fats ( p = 0.035) consumed. Both groups decreased their energy intake (Kcal) at 12 months (IG: −114 (95% CI: −191 to −36); CG: −108 (95% CI: −184 to −31)). The IG reported a higher percentage intake of carbohydrates (1.1%; 95% CI: 0.1 to 2.0), and lower percentage intakes of fats (−1.0%; 95% CI: −1.9 to −0.1) and saturated fats (−0.4%; 95%CI: −0.8 to −0.1) when compared to the CG. Conclusions: Better results were achieved in terms of modifying usual diet composition from counseling and the diet smartphone application compared to counseling alone. This was evaluated by a self-reported questionnaire, which indicated an increased percentage intake of carbohydrates, and decreased percentage intakes of fats and saturated fats.
This study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long term (12 months).BACKGROUNDThis study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long term (12 months).A randomized, controlled, multicenter clinical trial was conducted involving the participation of 833 subjects from primary care clinics (415 to the intervention (counseling + application) group (IG) and 418 to the control (counseling) group (CG)). Both groups were counseled about a healthy diet and physical activity. For the 3-month intervention period, the IG was also trained to use a diet smartphone application that involved dietary self-monitoring and tailored feedback. Nutritional composition was estimated using a self-reported food frequency questionnaire.METHODSA randomized, controlled, multicenter clinical trial was conducted involving the participation of 833 subjects from primary care clinics (415 to the intervention (counseling + application) group (IG) and 418 to the control (counseling) group (CG)). Both groups were counseled about a healthy diet and physical activity. For the 3-month intervention period, the IG was also trained to use a diet smartphone application that involved dietary self-monitoring and tailored feedback. Nutritional composition was estimated using a self-reported food frequency questionnaire.An analysis of repeated measures revealed an interaction between the group and the percentages of carbohydrates (p = 0.031), fats (p = 0.015) and saturated fats (p = 0.035) consumed. Both groups decreased their energy intake (Kcal) at 12 months (IG: -114 (95% CI: -191 to -36); CG: -108 (95% CI: -184 to -31)). The IG reported a higher percentage intake of carbohydrates (1.1%; 95% CI: 0.1 to 2.0), and lower percentage intakes of fats (-1.0%; 95% CI: -1.9 to -0.1) and saturated fats (-0.4%; 95%CI: -0.8 to -0.1) when compared to the CG.RESULTSAn analysis of repeated measures revealed an interaction between the group and the percentages of carbohydrates (p = 0.031), fats (p = 0.015) and saturated fats (p = 0.035) consumed. Both groups decreased their energy intake (Kcal) at 12 months (IG: -114 (95% CI: -191 to -36); CG: -108 (95% CI: -184 to -31)). The IG reported a higher percentage intake of carbohydrates (1.1%; 95% CI: 0.1 to 2.0), and lower percentage intakes of fats (-1.0%; 95% CI: -1.9 to -0.1) and saturated fats (-0.4%; 95%CI: -0.8 to -0.1) when compared to the CG.Better results were achieved in terms of modifying usual diet composition from counseling and the diet smartphone application compared to counseling alone. This was evaluated by a self-reported questionnaire, which indicated an increased percentage intake of carbohydrates, and decreased percentage intakes of fats and saturated fats.CONCLUSIONSBetter results were achieved in terms of modifying usual diet composition from counseling and the diet smartphone application compared to counseling alone. This was evaluated by a self-reported questionnaire, which indicated an increased percentage intake of carbohydrates, and decreased percentage intakes of fats and saturated fats.
This study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long term (12 months). A randomized, controlled, multicenter clinical trial was conducted involving the participation of 833 subjects from primary care clinics (415 to the intervention (counseling + application) group (IG) and 418 to the control (counseling) group (CG)). Both groups were counseled about a healthy diet and physical activity. For the 3-month intervention period, the IG was also trained to use a diet smartphone application that involved dietary self-monitoring and tailored feedback. Nutritional composition was estimated using a self-reported food frequency questionnaire. An analysis of repeated measures revealed an interaction between the group and the percentages of carbohydrates ( = 0.031), fats ( = 0.015) and saturated fats ( = 0.035) consumed. Both groups decreased their energy intake (Kcal) at 12 months (IG: -114 (95% CI: -191 to -36); CG: -108 (95% CI: -184 to -31)). The IG reported a higher percentage intake of carbohydrates (1.1%; 95% CI: 0.1 to 2.0), and lower percentage intakes of fats (-1.0%; 95% CI: -1.9 to -0.1) and saturated fats (-0.4%; 95%CI: -0.8 to -0.1) when compared to the CG. Better results were achieved in terms of modifying usual diet composition from counseling and the diet smartphone application compared to counseling alone. This was evaluated by a self-reported questionnaire, which indicated an increased percentage intake of carbohydrates, and decreased percentage intakes of fats and saturated fats.
Author Recio-Rodriguez, Jose I.
Maderuelo-Fernandez, Jose A.
Fernandez-Alonso, Carmen
Gomez-Marcos, Manuel A.
Gonzalez-Viejo, Natividad
Rodriguez-Martin, Beatriz
Mendizabal-Gallastegui, Nere
Agudo Conde, Cristina
Calvo-Aponte, Maria J.
Garcia-Ortiz, Luis
Rodriguez-Sanchez, Emiliano
AuthorAffiliation Spanish Research Network for Preventive Activities and Health Promotion in Primary Care, 08025 Barcelona, Spain. Laalamedilla@gmail.com
AuthorAffiliation_xml – name: Spanish Research Network for Preventive Activities and Health Promotion in Primary Care, 08025 Barcelona, Spain. Laalamedilla@gmail.com
– name: 9 Biomedical and Diagnostic Sciences Department, University of Salamanca, 37008 Salamanca, Spain
– name: 2 Faculty of Health Sciences, Universidad de Burgos, 09292 Burgos, Spain
– name: 1 Primary Health Care Research Unit, The Alamedilla Health Center, Castilla and León Health Service (SACYL), Institute of Biomedical Research of Salamanca (IBSAL), Spanish Research Network for Preventive Activities and Health Promotion in Primary Care (REDIAPP), 37003 Salamanca, Spain; cagudoconde@yahoo.es (C.A.C.); jmaderuelo@saludcastillayleon.es (J.A.M.-F.); emiliano@usal.es (E.R.-S.); magomez@usal.es (M.A.G.-M.); Lgarciao@usal.es (L.G.-O.)
– name: 4 Torre Ramona Health Center, Aragón Health Service, 50013 Zaragoza, Spain; natigonviejo@gmail.com
– name: 5 Casa de Barco Health Center, Castilla y León Health Service, 47007 Valladolid, Spain; carmenferal@gmail.com
– name: 10 Spanish Research Network for Preventive Activities and Health Promotion in Primary Care, 08025 Barcelona, Spain; Laalamedilla@gmail.com
– name: 3 Primary Health Care Research Unit of Barcelona, Primary Healthcare University Research Institute IDIAP-Jordi Gol, 08007 Barcelona, Spain; mjoseaponte@hotmail.com
– name: 7 Río Tajo Health Center, Castilla-La Mancha Health Service. University of Castilla-La Mancha, 13071 Talavera de la Reina, Spain; Beatriz.RMartin@uclm.es
– name: 8 Department of Medicine, University of Salamanca, 37008 Salamanca, Spain
– name: 6 Primary Care Research Unit of Bizkaia, Basque Health Service-Osakidetza, 48014 Bilbao, Spain; NERE.MENDIZABALGALLASTEGUI@osakidetza.net
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Issue 10
Keywords dietary carbohydrates
smartphone applications
diet
diet records
general population
dietary fats
Language English
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Membership of the EVIDENT Investigators is provided in the Acknowledgments.
These two authors contribute equally to this paper.
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Snippet Background: This study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long...
This study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long term (12...
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SubjectTerms carbohydrates
counseling
Counseling - methods
Diet - methods
Diet Records
Dietary Carbohydrates - analysis
Dietary Fats - analysis
Dietary Proteins - analysis
Energy Intake
Exercise
Female
food frequency questionnaires
healthy diet
Humans
Male
Micronutrients - analysis
Middle Aged
Mobile Applications
mobile telephones
nutrient content
Nutrients - analysis
physical activity
Primary Health Care - methods
randomized clinical trials
saturated fats
Smartphone
Surveys and Questionnaires
Title The Effectiveness of a Smartphone Application on Modifying the Intakes of Macro and Micronutrients in Primary Care: A Randomized Controlled Trial. The EVIDENT II Study
URI https://www.ncbi.nlm.nih.gov/pubmed/30309008
https://www.proquest.com/docview/2119922927
https://www.proquest.com/docview/2286921975
https://pubmed.ncbi.nlm.nih.gov/PMC6212958
Volume 10
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