Evidence map›Paper›PMID 27966568›Full record

ArticleEuropean journal of clinical nutrition2017

Eating at restaurants, at work or at home. Is there a difference? A study among adults of 11 European countries in the context of the HECTOR* project.

P Orfanos, A Naska, S Rodrigues, C Lopes, H Freisling, S Rohrmann, S Sieri, I Elmadfa, C Lachat, K Gedrich and 13 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of clinical nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

23 authors at 20 institutions in 13 countries.

P OrfanosWHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
A NaskaWHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
S RodriguesFaculty of Nutrition and Food Sciences, University of Porto, and Institute of Public Health, Porto, Portugal.
C LopesDepartment of Clinical Epidemiology, Preventive Medicine and Public Health, University of Porto Medical School/Institute of Public Health, Porto, Portugal.
H FreislingInternational Agency for Research on Cancer (IARC-WHO), Lyon, France.
S RohrmannDivision of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland.
S SieriEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
I ElmadfaDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.
C LachatDepartment of Food Safety and Food Quality, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
K GedrichDepartment of Nutritional Physiology, TUM Technical University of Munich, Freising, Germany.
H BoeingDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
V KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
A TurriniCouncil for Agricultural Research and Economics-Research Center for Food and Nutrition (CREA-Alimenti e Nutrizione), Rome, Italy.
R TuminoCancer Registry and Histopathology Unit, 'Civic M.P.Arezzo' Hospital, ASP Ragusa, Italy.
F RicceriDepartment of Economics and Statistics, 'Cognetti de Martiis' University of Turin, Turin, Italy.
A MattielloDipartimento di Medicina Clinica e Chirurgia Federico II University, Naples, Italy.
D PalliCancer Research and Prevention Institute (ISPO), Florence, Italy.
M OckéNational Institute for Public Health and the Environment, Bilthoven, The Netherlands.
D EngesetDepartment of Public Health, Sport and Nutrition, University of Agder, Kristiansand, Norway.
M OltarzewskiNational Food and Nutrition Institute, Poland.
L M NilssonPublic Health and Clinical Medicine, Nutritional research, Umeå University, Umeå, Sweden.
T KeyCancer Epidemiology Unit, University of Oxford, Oxford, UK.
A TrichopoulouWHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
National and Kapodistrian University of Athens · GRUniversidade do Porto · PTArctic Research Centre · SEAzienda Usl 8 Arezzo · ITCentre International de Recherche sur le Cancer · FRFederico II University Hospital · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITGerman Institute of Human Nutrition · DEHeidelberg University · DEHellenic Health Foundation · GRInstituut voor Tropische Geneeskunde · BEInstytut Zywnosci Zywienia · PLIstituto Nazionale di Ricerca per gli Alimenti e la Nutrizione · ITNational Institute for Public Health and the Environment · NLPiedmont Reference Center for Epidemiology and Cancer Prevention · ITTechnical University of Munich · DEUniversity of Agder · NOUniversity of Oxford · GBUniversity of Turin · ITUniversity of Vienna · AT

Funding

British Heart FoundationCancer Research UK 16491Department of HealthMedical Research CouncilWellcome TrustWorld Health Organization 001
6 · The paper itself

Abstract

BACKGROUND/

objectivesTo compare macronutrient intakes out of home-by location-to those at home and to investigate differences in total daily intakes between individuals consuming more than half of their daily energy out of home and those eating only at home. SUBJECTS/

methodsData collected through 24-h recalls or diaries among 23 766 European adults. Participants were grouped as 'non-substantial', 'intermediate' and 'very substantial out-of-home' eaters based on energy intake out of home. Mean macronutrient intakes were estimated at home and out of home (overall, at restaurants, at work). Study/cohort-specific mean differences in total intakes between the 'very substantial out-of-home' and the 'at-home' eaters were estimated through linear regression and pooled estimates were derived.

resultsAt restaurants, men consumed 29% of their energy as fat, 15% as protein, 45% as carbohydrates and 11% as alcohol. Among women, fat contributed 33% of energy intake at restaurants, protein 16%, carbohydrates 45% and alcohol 6%. When eating at work, both sexes reported 30% of energy from fat and 55% from carbohydrates. Intakes at home were higher in fat and lower in carbohydrates and alcohol. Total daily intakes of the 'very substantial out-of-home' eaters were generally similar to those of individuals eating only at home, apart from lower carbohydrate and higher alcohol intakes among individuals eating at restaurants.

conclusionsIn a large population of adults from 11 European countries, eating at work was generally similar to eating at home. Alcoholic drinks were the primary contributors of higher daily energy intakes among individuals eating substantially at restaurants.

Indexed as

EatingFeeding BehaviorRestaurantsAdultAlcohol DrinkingDietDietary CarbohydratesDietary FatsDietary ProteinsDiet RecordsDiet SurveysEnergy IntakeEuropeFemaleHumansLinear ModelsDietary CarbohydratesDietary FatsDietary Proteins

Identifiers

PMID27966568
OpenAlexW2562076494

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.