Evidence map›Paper›PMID 41947186›Full record

ArticleNutrition journal2026

Night shift work and dietary behaviors: a comparative analysis of European night shift and day workers from the SHIFT2HEALTH online survey.

Urte Klink, Edith J M Feskens, Desiree A Lucassen, Monique H Vingerhoeds, Sandra Haider, Kyriaki Papantoniou, Imke Matullat, Catalina Cuparencu, Anna Lena Aufschnaiter, Bianca Fuchs-Neuhold and 14 more

Abstract readComparative Study
In one paragraph

Article in Nutrition journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

24 authors.

Urte KlinkUniversity of Bremen, Institute for Public Health and Nursing Research, Bremen, Germany. uklink@uni-bremen.de.
Edith J M FeskensWageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands.
Desiree A LucassenWageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands.
Monique H VingerhoedsWageningen Food & Biobased Research, Wageningen, Netherlands.
Sandra HaiderCentre for Public Health, Department of Social and Preventive Medicine, Medical University of Vienna, Vienna, Austria.
Kyriaki PapantoniouDepartment of Epidemiology, Centre for Public Health, Medical University of Vienna, Vienna, Austria.
Imke Matullatttz Bremerhaven, Bremerhaven, Germany.
Catalina CuparencuDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Anna Lena AufschnaiterUniversity of Applied Sciences FH JOANNEUM, Institute of Dietetics and Nutrition, Graz, Austria.
Bianca Fuchs-NeuholdUniversity of Applied Sciences FH JOANNEUM, Institute of Dietetics and Nutrition, Graz, Austria.
Christina HöflerUniversity of Applied Sciences FH JOANNEUM, Institute of Dietetics and Nutrition, Graz, Austria.
Marlies WallnerUniversity of Applied Sciences FH JOANNEUM, Institute of Dietetics and Nutrition, Graz, Austria.
Katarzyna W Binder-OlibrowskaDepartment of Psychosocial Rehabilitation, Medical University of Lodz, Lodz, Poland.
Magdalena Agnieszka WrzesińskaDepartment of Psychosocial Rehabilitation, Medical University of Lodz, Lodz, Poland.
Heidi M Lammers-van der HolstDepartment of Public Health, Erasmus University Medical Center, Rotterdam, Netherlands.
Isabel SantonjaDepartment of Epidemiology, Centre for Public Health, Medical University of Vienna, Vienna, Austria.
Katrin SciontiDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.
Vanessa SchoissengeierDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.
Karl-Heinz WagnerDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.
Maria WakolbingerCentre for Public Health, Department of Social and Preventive Medicine, Medical University of Vienna, Vienna, Austria.
Eva WinzerCentre for Public Health, Department of Social and Preventive Medicine, Medical University of Vienna, Vienna, Austria.
Meeke UmmelsWageningen Food & Biobased Research, Wageningen, Netherlands.
Hannah JilaniUniversity of Bremen, Institute for Public Health and Nursing Research, Bremen, Germany.
SHIFT2HEALTH consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNight shift workers are more likely to exhibit unfavorable dietary behaviors than day workers. However, these differences remain insufficiently explored within the European workforce. This study aims to examine differences in dietary behaviors (food intake frequency, eating frequency) by night shift exposure (history, frequency, duration) to investigate eating frequency, meal timing, and food choice determinants during night shifts, and to explore gender differences across Europe.

methodsData were collected via an online survey (May 2024-January 2025) in eight countries (Austria, Germany, Denmark, Greece, Italy, the Netherlands, Poland, Spain). Participants self-reported sociodemographics, occupational sector, current work schedules, shift work history, lifestyle characteristics, and dietary behaviors. A shortened Food Frequency Questionnaire (FFQ) assessed dietary intake, alongside questions on eating rate and frequency on work and non-work-days. Current night shift workers additionally reported eating frequency, timing, and food choice determinants during night shifts. Analyses compared dietary behaviors by night shift exposure (current, former, vs. day worker). Among current night shift workers, associations with night shift frequency (nights/month) and duration (years) were examined. Secondary analyses were stratified by gender.

resultsA total of 6,260 individuals were included (mean age 40.7, SD 10.7; 50.5% female). Overall, 60.4% were current night shift workers, 19.6% former night shift workers, and 20% day workers. Compared to day workers, current night shift workers reported significantly faster eating rates (OR = 1.21, 95% CI: 1.06–1.37), more frequent intake of sugar-sweetened (OR = 1.30, 95% CI: 1.14–1.48) and caffeinated beverages (OR = 1.14, 95% CI: 1.01–1.30), and lower fruit intake (OR = 0.87, 95% CI: 0.77–0.98). Higher monthly night shift load and longer duration of night work were associated with less favorable dietary patterns. Most current night shift workers reported one to two eating occasions per night, typically at the beginning or middle of their shift. Food choices were primarily driven by appetite, time, and food availability. Gender differences were observed only in food choice determinants.

conclusionsNight shift and day workers in Europe showed differences in dietary behaviors, particularly in sugar-sweetened beverage intake and eating rate. These findings highlight the need for targeted interventions to promote healthy eating among shift working populations.

Indexed as

DietFeeding BehaviorShift Work ScheduleWork Schedule ToleranceAdultEuropeFemaleHumansLife StyleMaleMiddle AgedSex FactorsSurveys and QuestionnairesDietDiet SurveysEuropeFood IntakeFood PreferencesNight shift work

Identifiers

PMID41947186
PMCPMC13067742

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.