Evidence map›Paper›PMID 31743081›Full record

Observational studyJournal of the American College of Nutrition2020

Free-Living Sleep, Food Intake, and Physical Activity in Night and Morning Shift Workers.

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

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Journal of the American College of Nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05652842 (Assessing the Impact of Rotational and Shift Work on Sleep, Activity, Energy Balance, and Food Choice in Adults), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT05652842 unknown statusnot on this mapstarted 2022, after this paper: background citation

Assessing the Impact of Rotational and Shift Work on Sleep, Activity, Energy Balance, and Food Choice in Adults

TypeobservationalSponsorMemorial University of NewfoundlandRan2022 to 2023Enrolled45ConditionsLife Style, Shift-Work, Food PreferencesArmsWork-type
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Obesity and Diet Predict Attitudes towards Health Promotion in Pre-Registered Nurses and Midwives.International journal of environmental research and public health · 2021
    Article
  13. Review
  14. Review
  15. 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

5 authors.

Shaza LaurenInstitute of Human Nutrition, Columbia University Medical Center, New York, New York, USA.
Yichi ChenInstitute of Human Nutrition, Columbia University Medical Center, New York, New York, USA.
Ciaran FrielCenter for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, New York, USA.
Bernard P ChangDepartment of Emergency Medicine, Columbia University Medical Center, New York, New York, USA.
Ari ShechterCenter for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, New York, USA.

Funding

Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
POSTDOCTORAL TRAINING IN ARTERIOSCLEROSIS RESEARCHT32HL007343 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HENRY N GINSBERG, Muredach P Reilly · 1985 to 2026
$12.7M
NCATS NIH HHS UL1 TR000040NHLBI NIH HHS T32 HL007343
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Shift Work ScheduleAccelerometryAdultDiet SurveysEatingExerciseFemaleHumansSleepTime FactorsWork Schedule ToleranceYoung Adultfood intakeobesityphysical activityShift worksleep

Identifiers

PMID31743081
PMCPMC7234922

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.