Evidence map›Paper›PMID 38817706›Full record

ArticleCurrent developments in nutrition2024

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.

Bianca C Braga, Phuong H Nguyen, Lan Mai Tran, Nga Thu Hoang, Boateng Bannerman, Frank Doyle, Gloria Folson, Rohit Gangupantulu, Naureen Karachiwalla, Bastien Kolt and 6 more

Abstract read
In one paragraph

Article in Current developments in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Bianca C BragaFriedman School of Nutrition Policy and Science, Tufts University, Boston, MA, United States.
Phuong H NguyenNutrition, Health and Diet, International Food Policy Research Institute, Washington, DC, United States.
Lan Mai TranHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Nga Thu HoangNational Institute of Nutrition, Hanoi, Vietnam.
Boateng BannermanNoguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Legon, Ghana.
Frank DoyleCollege of Agricultural Sciences, Pennsylvania State University, State College, PA, United States.
Gloria FolsonNoguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Legon, Ghana.
Rohit GangupantuluCollege of Agricultural Sciences, Pennsylvania State University, State College, PA, United States.
Naureen KarachiwallaNutrition, Health and Diet, International Food Policy Research Institute, Washington, DC, United States.
Bastien KoltNutrition, Health and Diet, International Food Policy Research Institute, Washington, DC, United States.
Peter McCloskeyCollege of Agricultural Sciences, Pennsylvania State University, State College, PA, United States.
Giordano PalloniNutrition, Health and Diet, International Food Policy Research Institute, Washington, DC, United States.
Trang Huyen Thi TranThai Nguyen University of Pharmacy and Medicine, Thai Nguyen, Vietnam.
Duong Thuy Thi TrơưngThai Nguyen University of Pharmacy and Medicine, Thai Nguyen, Vietnam.
David HughesCollege of Agricultural Sciences, Pennsylvania State University, State College, PA, United States.
Aulo GelliNutrition, Health and Diet, International Food Policy Research Institute, Washington, DC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ( 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; 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.The trial was registered at the International Standard Randomized Controlled Trial Number as ISRCTN 10681553.

Indexed as

adolescenceartificial intelligencedietary assessmentdietary intakedietary qualitye-healthfeasibilitym-healthrandomized controlled trialtelephone application

Identifiers

PMID38817706
PMCPMC11137395

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.