Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study

Background Adolescent nutrition has faced a policy neglect, partly owing to the gaps in dietary intake data for this age group. The Food Recognition Assistance and Nudging Insights (FRANI) is a smartphone application validated for dietary assessment and to influence users toward healthy food choices...

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Autores principales: Braga, Bianca C., Nguyen, Phuong Hong, Tran, Lan Mai, Hoang, Nga Thu, Bannerman, Boateng, Doyle, Frank, Folson, Gloria, Gangupantulu, Rohit, Karachiwalla, Naureen, Kolt, Bastien, McCloskey, Peter, Palloni, Giordano, Tran, Trang Huyen Thi, Trơưng, Duong Thuy Thi, Hughes, David, Gelli, Aulo
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/139806
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author Braga, Bianca C.
Nguyen, Phuong Hong
Tran, Lan Mai
Hoang, Nga Thu
Bannerman, Boateng
Doyle, Frank
Folson, Gloria
Gangupantulu, Rohit
Karachiwalla, Naureen
Kolt, Bastien
McCloskey, Peter
Palloni, Giordano
Tran, Trang Huyen Thi
Trơưng, Duong Thuy Thi
Hughes, David
Gelli, Aulo
author_browse Bannerman, Boateng
Braga, Bianca C.
Doyle, Frank
Folson, Gloria
Gangupantulu, Rohit
Gelli, Aulo
Hoang, Nga Thu
Hughes, David
Karachiwalla, Naureen
Kolt, Bastien
McCloskey, Peter
Nguyen, Phuong Hong
Palloni, Giordano
Tran, Lan Mai
Tran, Trang Huyen Thi
Trơưng, Duong Thuy Thi
author_facet Braga, Bianca C.
Nguyen, Phuong Hong
Tran, Lan Mai
Hoang, Nga Thu
Bannerman, Boateng
Doyle, Frank
Folson, Gloria
Gangupantulu, Rohit
Karachiwalla, Naureen
Kolt, Bastien
McCloskey, Peter
Palloni, Giordano
Tran, Trang Huyen Thi
Trơưng, Duong Thuy Thi
Hughes, David
Gelli, Aulo
author_sort Braga, Bianca C.
collection Repository of Agricultural Research Outputs (CGSpace)
description Background Adolescent nutrition has faced a policy neglect, partly owing to the gaps in dietary intake data for this age group. The Food Recognition Assistance and Nudging Insights (FRANI) is a smartphone application validated for dietary assessment and to influence users toward healthy food choices. Objectives This study aimed to assess the feasibility (adherence, acceptability, and usability) of FRANI and its effects on food choices and diet quality in female adolescents in Vietnam. Methods Adolescents (N = 36) were randomly selected from a public school and allocated into 2 groups. The control group received smartphones with a version of FRANI limited to dietary assessment, whereas the intervention received smartphones with gamified FRANI. After the first 4 wk, both groups used gamified FRANI for further 2 wk. The primary outcome was the feasibility of using FRANI as measured by adherence (the proportion of completed food records), acceptability and usability (the proportion of participants who considered FRANI acceptable and usable according to answers of a Likert questionnaire). Secondary outcomes included the percentage of meals recorded, the Minimum Dietary Diversity for Women (MDDW) and the Eat-Lancet Diet Score (ELDS). Dietary diversity is important for dietary quality, and sustainable healthy diets are important to reduce carbon emissions. Poisson regression models were used to estimate the effect of gamified FRANI on the MDDW and ELDS. Results Adherence to the application was 82% and the percentage of meals recorded was 97%. Acceptability and usability were 97%. MDDW in the intervention group was 1.07 points (95% CI: 0.98, 1.18; P = 0.13) greater than that in the control (constant = 4.68); however, the difference was not statistically significant. Moreover, ELDS in the intervention was 1.09 (95% CI: 1.01, 1.18; P = 0.03) points greater than in the control (constant = 3.67). Conclusions FRANI was feasible and may be effective to influence users toward healthy food choices. Research is needed for FRANI in different contexts and at scale.
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spelling CGSpace1398062025-12-08T09:54:28Z Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study Braga, Bianca C. Nguyen, Phuong Hong Tran, Lan Mai Hoang, Nga Thu Bannerman, Boateng Doyle, Frank Folson, Gloria Gangupantulu, Rohit Karachiwalla, Naureen Kolt, Bastien McCloskey, Peter Palloni, Giordano Tran, Trang Huyen Thi Trơưng, Duong Thuy Thi Hughes, David Gelli, Aulo adolescents artificial intelligence capacity development diet quality diet feeding preferences Background Adolescent nutrition has faced a policy neglect, partly owing to the gaps in dietary intake data for this age group. The Food Recognition Assistance and Nudging Insights (FRANI) is a smartphone application validated for dietary assessment and to influence users toward healthy food choices. Objectives This study aimed to assess the feasibility (adherence, acceptability, and usability) of FRANI and its effects on food choices and diet quality in female adolescents in Vietnam. Methods Adolescents (N = 36) were randomly selected from a public school and allocated into 2 groups. The control group received smartphones with a version of FRANI limited to dietary assessment, whereas the intervention received smartphones with gamified FRANI. After the first 4 wk, both groups used gamified FRANI for further 2 wk. The primary outcome was the feasibility of using FRANI as measured by adherence (the proportion of completed food records), acceptability and usability (the proportion of participants who considered FRANI acceptable and usable according to answers of a Likert questionnaire). Secondary outcomes included the percentage of meals recorded, the Minimum Dietary Diversity for Women (MDDW) and the Eat-Lancet Diet Score (ELDS). Dietary diversity is important for dietary quality, and sustainable healthy diets are important to reduce carbon emissions. Poisson regression models were used to estimate the effect of gamified FRANI on the MDDW and ELDS. Results Adherence to the application was 82% and the percentage of meals recorded was 97%. Acceptability and usability were 97%. MDDW in the intervention group was 1.07 points (95% CI: 0.98, 1.18; P = 0.13) greater than that in the control (constant = 4.68); however, the difference was not statistically significant. Moreover, ELDS in the intervention was 1.09 (95% CI: 1.01, 1.18; P = 0.03) points greater than in the control (constant = 3.67). Conclusions FRANI was feasible and may be effective to influence users toward healthy food choices. Research is needed for FRANI in different contexts and at scale. 2024-06 2024-03-05T15:08:17Z 2024-03-05T15:08:17Z Journal Article https://hdl.handle.net/10568/139806 en Open Access Elsevier Braga, Bianca C.; Nguyen, Phuong H.; Tran, Lan Mai; Hoang, Nga Thu; Bannerman, Boateng; Doyle, Frank; et al. 2024. Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study. Current Developments in Nutrition 8(6). https://doi.org/10.1016/j.cdnut.2023.102063
spellingShingle adolescents
artificial intelligence
capacity development
diet quality
diet
feeding preferences
Braga, Bianca C.
Nguyen, Phuong Hong
Tran, Lan Mai
Hoang, Nga Thu
Bannerman, Boateng
Doyle, Frank
Folson, Gloria
Gangupantulu, Rohit
Karachiwalla, Naureen
Kolt, Bastien
McCloskey, Peter
Palloni, Giordano
Tran, Trang Huyen Thi
Trơưng, Duong Thuy Thi
Hughes, David
Gelli, Aulo
Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study
title Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study
title_full Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study
title_fullStr Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study
title_full_unstemmed Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study
title_short Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study
title_sort feasibility of using an artificial intelligence based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in vietnam evidence from a randomized pilot study
topic adolescents
artificial intelligence
capacity development
diet quality
diet
feeding preferences
url https://hdl.handle.net/10568/139806
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