Evidence map›Paper›PMID 35429043›Full record

ArticleJournal of advanced nursing2022

Snacking among shiftwork nurses related to non-optimal dietary intake.

Ting-Ti Lin, Yue Leon Guo, Christopher James Gordon, Yi-Chuan Chen, Hsueh-Ching Wu, Elizabeth Cayanan, Chung-Mei Ouyang, Judith Shu-Chu Shiao

Open access · hybridAbstract read
In one paragraph

Article in Journal of advanced nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

8 authors at 5 institutions in 2 countries.

Ting-Ti LinSchool of Nursing, National Defense Medical Center, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-2682-5273
Yue Leon GuoEnvironmental and Occupational Medicine, National Taiwan University (NTU) College of Medicine and NTU Hospital, Taipei, Taiwan.
Christopher James GordonSusan Wakil School of Nursing and Midwifery, The Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.
Yi-Chuan ChenSchool of Nursing, College of Medicine, National Taiwan University, Taipei, Taiwan.
Hsueh-Ching WuDepartment of Nursing, Hsin Sheng Junior College of Medical Care and Management, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0003-0167-4616
Elizabeth CayananCIRUS Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Glebe, Australia.
Chung-Mei OuyangDepartment of Nutrition, National Taiwan University Hospital Hsin-Chu Branch, HsinChu City, Taiwan.
Judith Shu-Chu ShiaoSusan Wakil School of Nursing and Midwifery, The Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.
The University of Sydney · AUNational Taiwan University Hospital · TWHsin Sheng College of Medical Care and Management · TWNational Defense Medical Center · TWNational Taiwan University · TW

Funding

Ministry of Science and Technology 108-2314-B-002-213-MY3National Taiwan University-University of Sydney Partnership Collaboration Awards
6 · The paper itself

Abstract

aimsTo compare nurses' non-optimal eating behaviours across different shifts, to examine whether non-day shifts were related to deviation from optimal dietary behaviours compared with day shifts and whether such deviation was related to non-optimal macronutrient intake.

designThis is a 4-day intensive longitudinal study.

methodsA convenience sample of hospital nurses was recruited in Taiwan. From September 2018 through January 2019, 120 participants completed 4-days of 24-h dietary recalls. One-way ANOVA and Kruskal-Wallis H test were used to compare differences in energy and macronutrient intake and frequency of meals and snacking, respectively. Generalized linear regressions examined (1) the associations between shiftwork schedules and non-optimal eating behaviours and (2) associations between non-optimal eating and high energy contribution of non-optimal macronutrients.

resultsNurses consumed less energy on evening and night shifts compared with day shifts. However, energy intake from snacking was higher on evening and night shifts relative to day shifts. Nurses consumed less meals but had higher snacking frequency on non-day shifts. In addition, high energy intake from snacking was positively associated with high energy intake from saturated fat.

conclusionsNurses were more likely to have non-optimal eating behaviours on non-day shifts, which may contribute to an increased intake of saturated fat; thus, increasing their risk of chronic diseases. Strategies to improve non-day shift nurses' non-optimal eating behaviours may be beneficial to their health. IMPACT: Shiftwork is known to affect nurses' eating behaviours; however, which shift is associated with unhealthy eating remains inconclusive. Despite lower energy intakes, nurses had higher intake by snacking on evening and night shifts. High snacking intake was associated with a high intake of saturated fat. Hospitals can increase the availability of healthy foods on evening or night shifts, which may improve non-day shift nurses' non-optimal eating behaviours.

Indexed as

EatingSnacksEnergy IntakeFeeding BehaviorHumansLongitudinal StudiesMealscircadian rhythmshealth care workersjunk food intakemedical personnelnon-optimal eating behavioursnurse or nursingshift schedulesshift worksnack food and sugar-sweetened beverage consumption

Identifiers

PMID35429043
PMCPMC9790560
OpenAlexW4224133369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.