Evidence map›Paper›PMID 34779776›Full record

ArticleJMIR pediatrics and parenting2021

Consumption of Ultraprocessed Foods in a Sample of Adolescents With Obesity and Its Association With the Food Educational Style of Their Parent: Observational Study.

Sylvie Borloz, Sophie Bucher Della Torre, Tinh-Hai Collet, Corinne Jotterand Chaparro

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03241121 (Study of Eating Patterns With a Smartphone App and the Metabolic Effects of Time Restricted Feeding), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 29% 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.

NCT03241121 nacompletednot on this map

Study of Eating Patterns With a Smartphone App and the Metabolic Effects of Time Restricted Feeding (TRF) in the Metabolic Syndrome - An Open-label Randomized Controlled Trial of TRF vs Regular Dietary Advices

TypeinterventionalSponsorUniversity of Lausanne HospitalsRan2017 to 2022Enrolled235ConditionsEating Behavior, Metabolic Syndrome, Obesity, DyslipidemiasArmsTime restricted feeding, Regular dietary advices, Eating patterns
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Sylvie BorlozPediatric Service, Department Woman-Mother-Child, Lausanne University Hospital (CHUV), Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-6199-1413
Sophie Bucher Della TorreDepartment of Nutrition and Dietetics, Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-4103-420X
Tinh-Hai Collet *Service of Endocrinology, Diabetology, Nutrition and Therapeutic Education, Geneva University Hospitals (HUG), Geneva, Switzerland.ORCID https://orcid.org/0000-0002-3243-1222
Corinne Jotterand Chaparro *Department of Nutrition and Dietetics, Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-1538-7127
HES-SO University of Applied Sciences and Arts Western Switzerland · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth parental education and the food environment influence dietary intake and may therefore contribute to childhood obesity.

objectiveWe aimed to assess the consumption of ultraprocessed foods (UPFs) in a convenience sample of adolescents with obesity and to determine its association with the food educational style of their parent.

methodsThis observational study included 24 participants, 12 adolescents (8 boys and 4 girls) aged from 12 to 14 years and their 12 parents, who were followed in a specialized pediatric obesity clinic in the French-speaking part of Switzerland. The adolescents were asked to take a photograph with a smartphone application of all meals and beverages consumed in their daily routine over 14 consecutive days. They evaluated their parent's food educational style using the Kids' Child Feeding Questionnaire. The parent who was present at the study visits also completed the Feeding Style Questionnaire. A dietitian analyzed the pictures to extract food group portions and to identify UPFs using the NOVA classification. A nonparametric statistical test was used to investigate associations between UPF intake and food educational style.

resultsOverall, the adolescents had unbalanced dietary habits compared to national recommendations. They consumed an insufficient quantity of vegetables, fruits, dairy products, and starchy foods and an excessive amount of meat portions and sugary and fatty products compared to the current Swiss recommendations. Their consumption of UPFs accounted for 20% of their food intake. All adolescents defined their parent as being restrictive in terms of diet, with a mean parental restriction score of 3.3±SD 0.4 (norm median=2.1). No parent reported a permissive food educational style. A higher intake of UPFs was associated with a lower parental restriction score (P=.04).

conclusionsDespite being followed in a specialized pediatric obesity clinic, this small group of adolescents had an unbalanced diet, which included 20% UPFs. The intake of UPFs was lower in participants whose parent was more restrictive, suggesting the importance of parents as role models and to provide adequate food at home.

trial registrationClinicalTrials.gov NCT03241121; https://clinicaltrials.gov/ct2/show/NCT03241121.

Indexed as

adolescentfood educational styleobesityqualitative food intakesmartphone applicationultraprocessed foods

Identifiers

PMID34779776
PMCPMC8663715
OpenAlexW3196221965

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.