Evidence map›Paper›PMID 27744386›Full record

ArticleAmerican journal of epidemiology2016

Comparison of Dietary Intakes Between a Large Online Cohort Study (Etude NutriNet-Santé) and a Nationally Representative Cross-Sectional Study (Etude Nationale Nutrition Santé) in France: Addressing the Issue of Generalizability in E-Epidemiology.

Valentina A Andreeva, Valérie Deschamps, Benoît Salanave, Katia Castetbon, Charlotte Verdot, Emmanuelle Kesse-Guyot, Serge Hercberg

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in American journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
10.3field-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

51 citing papers in PubMed, 105 citations in OpenAlex.

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  19. Resilience Is Associated with Less Eating Disorder Symptoms in the NutriNet-Santé Cohort Study.International journal of environmental research and public health · 2022
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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

7 authors at 3 institutions in 1 country.

Valentina A Andreeva
Valérie Deschamps
Benoît Salanave
Katia Castetbon
Charlotte Verdot
Emmanuelle Kesse-Guyot
Serge Hercberg
Equipe de Recherche en Epidémiologie Nutritionnelle · FRUniversité Sorbonne Paris Nord · FRCentre de Recherche Épidémiologie et Statistique

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite some advantages over traditional methods, Web-based studies elicit concerns about generalizability. To address this issue, we compared dietary intakes between an electronic (e-) cohort study and a nationally representative survey. We studied 49,443 French volunteers aged 18-74 years recruited during 2009-2010 in the NutriNet-Santé Study, a general population-based e-cohort study. The Etude Nationale Nutrition Santé (ENNS; 2006-2007), a cross-sectional study with a nationally representative sample of 2,754 French adults aged 18-74 years, served as the reference data set. Reported dietary intakes from three 24-hour dietary records were weighted and compared between the two studies via Student t tests for mean location, using a >5% cutoff for establishing practically meaningful differences. We observed similar intakes as regards carbohydrates, total lipids, protein, and total energy. However, intakes of fruit and vegetables, fiber, vitamins B

Indexed as

AdolescentAdultAgedCross-Sectional StudiesDiet RecordsEpidemiologic MethodsFemaleFranceHumansInternetMaleMiddle AgedNutrition SurveysSex DistributionYoung Adultdietdietary intakee-epidemiologyfood and beveragesgeneralizabilitynutrientsquestionnairessurveys

Identifiers

PMID27744386
PMCPMC5101865
OpenAlexW2531363948

What OpenQuestion holds

Textmetadata
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.