Evidence map›Paper›PMID 37327038›Full record

ArticleJMIR formative research2023

Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research.

Siena Gioia, Irma M Vlasac, Demsina Babazadeh, Noah L Fryou, Elizabeth Do, Jessica Love, Rebecca Robbins, Hassan S Dashti, Jacqueline M Lane

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 2% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Reliability and Validity of Nutrient Assessment Applications for Canadian Endurance Athletes: MyFitnessPal and Cronometer.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Observational
  12. [Application of Digital Nutrition Technologies in Adult Weight Management].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  13. Chrononutrition: Potential, Challenges, and Application in Managing Obesity.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Article
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

9 authors at 3 institutions in 1 country.

Siena GioiaCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0009-0006-9776-7444
Irma M VlasacCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-1037-2698
Demsina BabazadehMedical and Population Genetics Program, Broad Institute, Cambridge, MA, United States.ORCID https://orcid.org/0009-0002-1685-0360
Noah L FryouCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-9566-9350
Elizabeth DoCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0009-0003-8071-6470
Jessica LoveDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0009-0007-9923-1181
Rebecca RobbinsDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-1046-4111
Hassan S DashtiCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0002-1650-679X
Jacqueline M LaneCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.ORCID https://orcid.org/0000-0001-6101-2855
Brigham and Women's Hospital · USBroad Institute · USMassachusetts General Hospital · US

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
Genetics of human circadian rhythms: using sequencing, novel phenotyping methods, and functional assays to move towards a deeper understanding of circadian mechanismsR35GM146839 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI LANE, JACQUELINE MARIE · 2022 to 2025
$1.8M
Genetic and molecular basis of circadian rhythm disordersK01HL136884 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI LANE, JACQUELINE MARIE · 2018 to 2022
$848k
NCATS NIH HHS UL1 TR002541NHLBI NIH HHS K01 HL136884NIDDK NIH HHS P30 DK040561NIGMS NIH HHS R35 GM146839
6 · The paper itself

Abstract

backgroundOver the last decade, health mobile apps have become an increasingly popular tool used by clinicians and researchers to track food consumption and exercise. However, many consumer apps lack the technological features for facilitating the capture of critical food timing details.

objectiveThis study aimed to introduce users to 11 apps from US app stores that recorded both dietary intake and food timing to establish which one would be the most appropriate for clinical research.

methodsTo determine a viable app that recorded both dietary intake and food timing for use in a food timing-related clinical study, we evaluated the time stamp data, usability, privacy policies, the accuracy of nutrient estimates, and general features of 11 mobile apps for dietary assessment that were available on US app stores. The following apps were selected using a keyword search of related terms and reviewed: text entry apps-Cronometer, DiaryNutrition, DietDiary, FoodDiary, Macros, and MyPlate; image entry apps-FoodView and MealLogger; and text plus image entry apps-Bitesnap, myCircadianClock, and MyFitnessPal.

resultsOur primary goal was to identify apps that recorded food time stamps, which 8 (73%) of the 11 reviewed apps did. Of the 11 apps, only 4 (36%) allowed users to edit the time stamps. Next, we sought to evaluate the usability of the apps using the System Usability Scale across 2 days, and 82% (9/11) of the apps received favorable scores for usability. To enable use in research and clinical settings, the privacy policies of each app were systematically reviewed using common criteria, with 1 (9%) Health Insurance Portability and Accountability Act-compliant app (Cronometer). Furthermore, protected health information was collected by 9 (82%) of the 11 apps. Finally, to assess the accuracy of the nutrient estimates generated by these apps, we selected 4 sample food items and a 3-day dietary record to input into each app. The caloric and macronutrient estimates of the apps were compared with the nutrient estimates provided by a registered dietitian using the Nutrition Data System for Research database. In terms of the 3-day food record, the apps were found to consistently underestimate daily calories and macronutrients compared with the Nutrition Data System for Research output.

conclusionsOverall, we found that the Bitesnap app provided flexible dietary and food timing functionality capable of being used in research and clinical settings, whereas most other apps lacked in the necessary food timing functionality or user privacy.

Indexed as

circadian rhythmsdietary assessmentdietary recordfood diaryfood timingmobile phonenutrition appssmartphone

Identifiers

PMID37327038
PMCPMC10337248
OpenAlexW4322752273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.