Evidence map›Paper›PMID 42735110›Full record

ArticleObesity facts2026

Association of Night Shift Work and Related Risk Factors with Overweight and Obesity across Europe: The SHIFT2HEALTH Online Survey.

Sandra Haider, Monique H Vingerhoeds, Maria Wakolbinger, Kyriaki Papantoniou, Isabel Santonja, Katrin Scionti, Vanessa Schoissengeier, Karl-Heinz Wagner, Hannah Jilani, Urte Klink and 17 more

Abstract read
In one paragraph

Article in Obesity facts, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

Sandra HaiderDepartment of Social and Preventive Medicine, Centre for Public Health, Medical University of Vienna, Vienna, Austria.
Monique H VingerhoedsWageningen Food and Biobased Research, Wageningen University and Research, Wageningen, The Netherlands.
Maria WakolbingerDepartment of Social and Preventive Medicine, Centre for Public Health, Medical University of Vienna, Vienna, Austria, maria.wakolbinger@meduniwien.ac.at.
Kyriaki PapantoniouDepartment of Epidemiology, Centre for Public Health, Medical University of Vienna, Vienna, Austria.
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.
Hannah JilaniInstitute for Public Health and Nursing Research-IPP, University of Bremen, Bremen, Germany.
Urte KlinkInstitute for Public Health and Nursing Research-IPP, University of Bremen, Bremen, Germany.
Katarzyna W Binder-OlibrowskaDepartment of Psychosocial Rehabilitation, Medical University of Lodz, Lodz, Poland.
Jarosław RakoczyDepartment of Psychosocial Rehabilitation, Medical University of Lodz, Lodz, Poland.
Magdalena Agnieszka WrzesińskaDepartment of Psychosocial Rehabilitation, Medical University of Lodz, Lodz, Poland.
Coen DrosDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Heidi Lammers-van der HolstDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Meeke UmmelsWageningen Food and Biobased Research, Wageningen University and Research, Wageningen, The Netherlands.
Marlies WallnerInstitute of Dietetics and Nutrition, FH JOANNEUM University of Applied Sciences, Graz, Austria.
Anna Lena AufschnaiterInstitute of Dietetics and Nutrition, FH JOANNEUM University of Applied Sciences, Graz, Austria.
Christina HöflerInstitute of Dietetics and Nutrition, FH JOANNEUM University of Applied Sciences, Graz, Austria.
Bianca Fuchs-NeuholdInstitute of Dietetics and Nutrition, FH JOANNEUM University of Applied Sciences, Graz, Austria.
Daniela GrachInstitute of Dietetics and Nutrition, FH JOANNEUM University of Applied Sciences, Graz, Austria.
Catalina CuparencuDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Logan StuckBiometris, Plant Science Group, Wageningen University and Research, Wageningen, The Netherlands.
Hendriek C BoshuizenBiometris, Plant Science Group, Wageningen University and Research, Wageningen, The Netherlands.
Imke Mattulatttz Bremerhaven, CF Sensory and Consumer Research, Bremerhaven, Germany.
Edith FeskensDivision of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
Eva WinzerDepartment of Social and Preventive Medicine, Centre for Public Health, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNight shift work is associated with higher risk of overweight/obesity (OW/OB). This study examines the prevalence of OW/OB among current and former night shift workers, compared to day workers, across Europe, and assesses the influence of night shift metrics and lifestyle/psychosocial factors on this relationship.

methodsData on participants' self-reported BMI, night shift metrics, sociodemographic, and lifestyle/psychosocial factors were collected via an online survey in Austria, Denmark, Germany, Greece, Italy, the Netherlands, Poland, and Spain (May 2024-January 2025). Logistic regression models analysed the associations between night shift work metrics, lifestyle/psychosocial factors, and OW/OB, accounting for additional adjustments.

resultsAmong 6,148 Europeans (mean age: 40.6 [10.6] years; 50% female), OW/OB prevalence was highest in Germany and lowest in Denmark (61% vs. 41%; p < 0.001). Current and former night shift workers exhibited higher prevalence of obesity (OR 1.62, 95% CI: 1.33-1.99; OR 1.51 95% CI: 1.19-1.93) than day workers. Longer, more frequent, and rotating night shift exposure correlated with higher odds of OW/OB. Among current night shift workers, factors such as fast eating rate, physical inactivity, and moderate/high alcohol consumption influenced OW/OB prevalence, with unfavourable dietary patterns linked to OB. Adjustments for lifestyle/psychosocial factors had minimal impact on these outcomes.

conclusionCurrent and former night shift workers exhibited a higher prevalence of OW/OB than day workers. Lifestyle factors, especially eating rate and physical activity, partly explain this elevated risk. Therefore, prevention strategies could benefit from combining organizational, environmental, and workplace interventions, particularly since an elevated BMI may persist even after night shift work has ceased.

Indexed as

Lifestyle parametersNight shiftObesityOverweight

Identifiers

PMID42735110
PMCPMC13688393

What OpenQuestion holds

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Registered trials

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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.