Evidence map›Paper›PMID 32313450›Full record

ArticleBMC nursing2020

Relationship between night shift work, eating habits and BMI among nurses in Lebanon.

Zeinab Samhat, Randa Attieh, Yonna Sacre

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
7.8field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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  9. Gastrointestinal Symptoms and the Assessment of Diet in Shift Workers: A Systematic Scoping Review.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
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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 at 2 institutions in 1 country.

Zeinab Samhat1Faculty of Agricultural and Food Sciences, Department of Nutrition and Dietetics, Holy Spirit University of Kaslik, P.O. Box 446, Mount -Lebanon, Jounieh, Lebanon.
Randa Attieh1Faculty of Agricultural and Food Sciences, Department of Nutrition and Dietetics, Holy Spirit University of Kaslik, P.O. Box 446, Mount -Lebanon, Jounieh, Lebanon.
Yonna Sacre1Faculty of Agricultural and Food Sciences, Department of Nutrition and Dietetics, Holy Spirit University of Kaslik, P.O. Box 446, Mount -Lebanon, Jounieh, Lebanon.
Holy Spirit University of Kaslik · LBÉcole Supérieure des Affaires · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this cross-sectional study was to evaluate the relationships between night shift work, eating habits and body mass index (BMI) among Lebanese nurses.

methodsA total of 307 nurses were randomly selected from five hospitals located in Beirut. Data about demographic and professional characteristics, anthropometric measures, dietary habits and intakes were collected through a validated questionnaire. To study the relationship between night shift work, eating habits and BMI, chi-square test, t-test and logistic regressions were used.

resultsThe majority of nurses (78. 2%) had irregular meals timing with a significant decrease in the number of complete meals consumed during the day and an increase in the number of snacks consumed during night (

conclusionNight shift work is positively associated with abnormal eating patterns and BMI among Lebanese nurses. However the increase in BMI is not related to eating habits.

Indexed as

Body mass indexEating habitsLebanonNight shift workNurses

Identifiers

PMID32313450
PMCPMC7158014
OpenAlexW3017265107

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.