Evidence map›Paper›PMID 30075718›Full record

ArticleBMC public health2018

The NutriAct Family Study: a web-based prospective study on the epidemiological, psychological and sociological basis of food choice.

Lukas Schwingshackl, Ulrike Ruzanska, Verena Anton, Raphael Wallroth, Kathrin Ohla, Sven Knüppel, Matthias B Schulze, Tobias Pischon, Johannes Deutschbein, Liane Schenk and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 27 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

14 authors at 3 institutions in 1 country.

Lukas SchwingshacklNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Ulrike RuzanskaNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Verena AntonNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Raphael WallrothNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Kathrin OhlaNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Sven KnüppelDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Matthias B SchulzeNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Tobias PischonNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Johannes DeutschbeinNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Liane SchenkNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Petra WarschburgerNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Ulrich HarttigNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Heiner BoeingNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany.
Manuela M BergmannNutriAct-Competence Cluster Nutrition Research, Berlin-Potsdam, Germany. manuela.bergmann@dife.de.
German Institute of Human Nutrition · DEUniversity of Potsdam · DEMax Delbrück Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost studies on food choice have been focussing on the individual level but familial aspects may also play an important role. This paper reports of a novel study that will focus on the familial aspects of the formation of food choice among men and women aged 50-70 years by recruiting spouses and siblings (NutriAct Family Study; NFS).

methodsData is collected prospectively via repeatedly applied web-based questionnaires over the next years. The recruitment for the NFS started in October 2016. Participants are recruited based on an index person who is actively participating in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study. This index person was asked to invite the spouse, a sibling or an in-law. If a set of family members agreed to participate, access to individualized web-based questionnaires assessing dietary intake, other health related lifestyle habits, eating behaviour, food responsiveness, personality, self-regulation, socio-economic status and socio-cultural values was provided. In the first phase of the NSF, recruitment rates were monitored in detail and participants' comments were analysed in order to improve the feasibility of procedures and instruments. DISCUSSION: Until August 4th 2017, 4783 EPIC-Participants were contacted by mail of which 446 persons recruited 2 to 5 family members (including themselves) resulting in 1032 participants, of whom 82% had started answering or already completed the questionnaires. Of the 4337 remaining EPIC-participants who had been contacted, 1040 (24%) did not respond at all, and 3297 (76%) responded but declined, in 51% of the cases because of the request to recruit at least 2 family members in the respective age range. The developed recruitment procedures and web-based methods of data collection are capable to generate the required study population including the data on individual and inter-personal determinants which will be linkable to food choice. The information on familial links among the study participants will show the role of familial traits in midlife for the adoption of food choices supporting healthy aging.

Indexed as

AgedDietEatingEpidemiologic Research DesignFemaleFood PreferencesHumansInternetMaleMiddle AgedProspective StudiesSiblingsSpousesSurveys and QuestionnairesDeterminantsFood choiceNutriAct family studyStudy protocol

Identifiers

PMID30075718
PMCPMC6090749
OpenAlexW2886096698

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.