Evidence map›Paper›PMID 42817060›Full record

ArticleNursing open2026

How Shift Work Impacts on Eating Behaviours Among Nurses: A Cross-Sectional Study.

Yun-Chen Chang, Rocco Mea, Elsa Vitale

Abstract read
In one paragraph

Article in Nursing open, 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

3 authors.

Yun-Chen ChangSchool of Nursing, China Medical University, Taichung, Taiwan.ORCID https://orcid.org/0000-0001-7099-6016
Rocco MeaSan Carlo Hospital, Potenza, Italy.
Elsa VitaleDirectorate of Health Professions and Nursing, ASL Bari, Bari, Italy.ORCID https://orcid.org/0000-0002-9738-3479

Funding

China Medical University CMU115-AWARD-01National Science and Technology Council NSTC 115-2410-H-039-010
6 · The paper itself

Abstract

aimTo evaluate differences in eating behaviours between nurses working exclusively daytime shifts and those engaged in night shift work.

backgroundA growing body of evidence suggests that night shift work exposed nurses to an increased risk of chronic conditions, including diabetes, metabolic syndrome, cardiovascular disease and cancer.

designAn online cross-sectional study was conducted in May 2022.

methodsNurses were recruited through their social media pages on Facebook and Instagram.

resultsA total of 408 Italian nurses participated in the study. Of these, 26.7% worked exclusively daytime shifts (morning and afternoon), while 73.3% also worked night shifts. The majority of participants in both groups were younger than 40 years. Nurses working night shifts more frequently reported shorter professional experience, with < 5 years (daily: 8.1%; night: 25.7%) and < 10 years (daily: 2.2%; night: 21.3%) of employment (p < 0.001) and were more often employed on a full-time basis (p = 0.004). In contrast, a significant difference emerged in snack consumption between main meals (p = 0.002), with nurses working night shifts reporting a higher frequency of snacking (49.8%) compared with those working exclusively daytime shifts (22.3%). IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Nurses working daytime shifts reported higher snack consumption compared with their night shift counterparts. Further research will be necessary to examine the nutritional composition of snacks and overall meal frequency. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

Feeding BehaviorNursesShift Work ScheduleWork Schedule ToleranceAdultCross-Sectional StudiesFemaleHumansItalyMaleMiddle AgedSurveys and Questionnairesbehavioureatingnurseshift work

Identifiers

PMID42817060
PMCPMC13627888

What Socratic holds

Textmetadata
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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.