Evidence map›Paper›PMID 30467558›Full record

ArticleClocks & sleep2018

Objective Food Intake in Night and Day Shift Workers: A Laboratory Study.

Yichi Chen, Shaza Lauren, Bernard P Chang, Ari Shechter

Open access · goldAbstract read
In one paragraph

Article in Clocks & sleep, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Obesity and Diet Predict Attitudes towards Health Promotion in Pre-Registered Nurses and Midwives.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Sleep in the United States Military.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Review
  13. 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

4 authors at 1 institution in 1 country.

Yichi ChenInstitute of Human Nutrition, Columbia University Irving Medical Center, New York, NY 10032, USA; yc3399@cumc.columbia.edu (Y.C.); sl4334@cumc.columbia.edu (S.L.).
Shaza LaurenInstitute of Human Nutrition, Columbia University Irving Medical Center, New York, NY 10032, USA; yc3399@cumc.columbia.edu (Y.C.); sl4334@cumc.columbia.edu (S.L.).
Bernard P ChangDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA; bpc2103@cumc.columbia.edu.
Ari ShechterCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY 10032, USA.
Columbia University Irving Medical Center · US

Funding

Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
NCATS NIH HHS UL1 TR000040
6 · The paper itself

Abstract

Night shift work is associated with risk of overweight and obesity. In night shift workers, short sleep duration combined with circadian misalignment may contribute to altered food intake regulation, favoring positive energy balance and weight gain. Prior work investigating food intake in shift workers has suffered methodologically due to reliance on subjective self-report for dietary assessment. No study has yet been done to examine the impact of night shift work on food intake in real-life shift workers using objective measures. Female day (

Indexed as

dietfood intakemacronutrientsobesityshift workshort sleep

Identifiers

PMID30467558
PMCPMC6241525
OpenAlexW2896527215

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.