Evidence map›Paper›PMID 30404207›Full record

ArticleNutrients2018

Use of a Smartphone Application Can Improve Assessment of High-Fat Food Consumption in Overweight Individuals.

Agata Chmurzynska, Monika A Mlodzik-Czyzewska, Anna M Malinowska, Jolanta Czarnocinska, Douglas Wiebe

Abstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Association of Night-Time Screen-Viewing with Adolescents' Diet, Sleep, Weight Status, and Adiposity.International journal of environmental research and public health · 2022
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. 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

5 authors.

Agata ChmurzynskaInstitute of Human Nutrition and Dietetics, Poznań University of Life Sciences, 60-624 Poznań, Poland. agata.chmurzynska@up.poznan.pl.ORCID 0000-0002-2045-0709
Monika A Mlodzik-CzyzewskaInstitute of Human Nutrition and Dietetics, Poznań University of Life Sciences, 60-624 Poznań, Poland. monika.mlodzik@up.poznan.pl.
Anna M MalinowskaInstitute of Human Nutrition and Dietetics, Poznań University of Life Sciences, 60-624 Poznań, Poland. anna.malinowska@up.poznan.pl.
Jolanta CzarnocinskaInstitute of Human Nutrition and Dietetics, Poznań University of Life Sciences, 60-624 Poznań, Poland. jolanta.czarnocinska@up.poznan.pl.
Douglas WiebeDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6021, USA. dwiebe@upenn.edu.

Funding

Narodowe Centrum Nauki grant number 2014/15/B/NZ9/02134
6 · The paper itself

Abstract

backgroundWe evaluated the feasibility of an application for measuring the frequency of consumption of high-fat foods and compared this application with standard methods.

methodsTwenty-six females and thirty six males aged 20⁻40 were enrolled in Poland. Participants completed the Block Screening Questionnaire for Fat Intake (BSQF; Q1) and a second questionnaire (Q2) with additional high-fat foods. The participants were then monitored for ten days in a real-time manner using a smartphone application that employed the same lists of food as Q2.

resultsMost subjects (84%) gave replies to at least three prompts on at least 5 days. The results from Q1 and the application were correlated (r = 0.42,

conclusionsAn application for mobile devices is a feasible tool for capturing the frequency of high-fat food consumption and it seems to improve the measured variable, especially in overweight or obese people.

Indexed as

Food AnalysisMobile ApplicationsSmartphoneAdultDietary FatsEatingFemaleHumansMaleOverweightPolandYoung AdultDietary Fatsdietary assessmentecological momentary assessmentfood frequency questionnairehigh-fat products

Identifiers

PMID30404207
PMCPMC6266782

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.