Evidence map›Paper›PMID 42910223›Full record

ArticleFrontiers in nutrition2026

Shift work in the digital food environment: associations with nutrition knowledge and online food ordering attitudes.

Tuğçe Özlü Karahan, Aslı Akbeniz, Gamze Çavuşoğlu, Hümeyra Kara, Ceren Ergünden, Emre Batuhan Kenger, Hatice Merve Bayram, Arda Ozturkcan

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

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Tuğçe Özlü KarahanHamidiye Faculty of Health Sciences, Department of Nutrition and Dietetics, University of Health Sciences Türkiye, Istanbul, Türkiye.
Aslı AkbenizFaculty of Health Sciences, Department of Nutrition and Dietetics, Istanbul Bilgi University, Istanbul, Türkiye.
Gamze ÇavuşoğluFaculty of Health Sciences, Department of Nutrition and Dietetics, Istanbul Bilgi University, Istanbul, Türkiye.
Hümeyra KaraFaculty of Health Sciences, Department of Nutrition and Dietetics, Istanbul Bilgi University, Istanbul, Türkiye.
Ceren ErgündenFaculty of Health Sciences, Department of Nutrition and Dietetics, Istanbul Bilgi University, Istanbul, Türkiye.
Emre Batuhan KengerFaculty of Health Sciences, Department of Nutrition and Dietetics, Fenerbahçe University, Istanbul, Türkiye.
Hatice Merve BayramFaculty of Health Sciences, Department of Nutrition and Dietetics, Istanbul Gelisim University, Istanbul, Türkiye.
Arda OzturkcanFaculty of Health Sciences, Department of Nutrition and Dietetics, Istanbul Gelisim University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Shift work may influence individuals' online food-ordering behaviors by altering meal timing and access to food; however, the role of nutrition knowledge in this relationship remains insufficiently understood. This study aimed to examine the association between nutrition knowledge levels and attitudes toward online food ordering among adults with different work schedules. Methods: This cross-sectional study included 352 employees aged 18-64 years. Sociodemographic characteristics, work schedules, and online food-ordering behaviors were assessed using a structured questionnaire. Nutrition knowledge was evaluated using the Nutrition Knowledge Level Scale for Adults, while attitudes toward online food ordering were assessed using the Attitude Scale Toward Online Food Ordering. Methods: This cross-sectional study included 352 employees aged 18-64 years. Sociodemographic characteristics, work schedules, and online food-ordering behaviors were assessed using a structured questionnaire. Nutrition knowledge was evaluated using the Nutrition Knowledge Level Scale for Adults, while attitudes toward online food ordering were assessed using the Attitude Scale Toward Online Food Ordering. Results: Of the participants, 84.7% reported that their dietary patterns changed on working days, while 64.8% indicated that fast-food products were the most frequently ordered food category. The total attitude score toward online food ordering differed significantly according to shift type, with fixed night-shift workers having higher scores than fixed evening-shift workers (58.73 ± 11.47 vs. 50.12 ± 10.57; Discussion: The findings suggest that attitudes toward online food ordering cannot be explained solely by nutrition knowledge and that work-shift patterns, age, and food-choice tendencies should also be considered in understanding how these attitudes are shaped.

Indexed as

food choiceknowledgenutritiononline food orderingshift work

Identifiers

PMID42910223
PMCPMC13685716

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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.