Evidence map›Paper›PMID 29440150›Full record

ArticleDiabetes care2018

Night Shift Work, Genetic Risk, and Type 2 Diabetes in the UK Biobank.

Céline Vetter, Hassan S Dashti, Jacqueline M Lane, Simon G Anderson, Eva S Schernhammer, Martin K Rutter, Richa Saxena, Frank A J L Scheer

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05159141 (The Role of Circadian Rhythm in the Effect of Sleep Intervention on Obesity Prevention in Early Childhood), which is not on this map. Cited by 192 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 8 pooled it
–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.

NCT05159141 naunknown statusnot on this mapstarted 2022, after this paper: background citation

The Role of Circadian Rhythm in the Effect of Sleep Intervention on Obesity Prevention in Early Childhood

TypeinterventionalSponsorShanghai Jiao Tong University School of MedicineRan2022 to 2024Enrolled480ConditionsInfant Sleep ProblemArmsBehavioral sleep intervention
3 · Its place in the literature

Who cites it

192 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  5. Association of Low Back Pain with Shift Work: A Meta-Analysis.International journal of environmental research and public health · 2023
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132 more citing papers are in PubMed but not listed here.

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.

Céline VetterDepartment of Integrative Physiology, University of Colorado, Boulder, CO celine.vetter@colorado.edu.ORCID 0000-0002-3752-1067
Hassan S DashtiBroad Institute of MIT and Harvard, Cambridge, MA.
Jacqueline M LaneBroad Institute of MIT and Harvard, Cambridge, MA.
Simon G AndersonDivision of Endocrinology, Diabetes and Gastroenterology, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, U.K.ORCID 0000-0002-8896-073X
Eva S SchernhammerChanning Division of Network Medicine, Brigham and Women's Hospital, Boston and Harvard Medical School, Boston, MA.
Martin K RutterDivision of Endocrinology, Diabetes and Gastroenterology, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, U.K.
Richa SaxenaBroad Institute of MIT and Harvard, Cambridge, MA.
Frank A J L ScheerBroad Institute of MIT and Harvard, Cambridge, MA.

Funding

Genetics of chronotype and impact on metabolic diseaseR01DK107859 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Richa Saxena · 2016 to 2026
$4.0M
Melatonin and Receptor Gene Variant: Linking Circadian System and Type 2 DiabetesR01DK102696 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SAXENA, RICHA, SCHEER, FRANK A · 2015 to 2019
$3.8M
Impact of Malatonin, Food Timing and Receptor Variant on Type 2 Diabetes RiskR01DK105072 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SAXENA, RICHA, SCHEER, FRANK A · 2016 to 2020
$3.2M
Meal Time Effects on Metabolic Health.R01DK099512 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHEER, FRANK A · 2014 to 2017
$2.8M
Development of countermeasures against adverse metabolic effects of shift workR01HL118601 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHEER, FRANK A · 2014 to 2017
$2.6M
Medical Research Council MC_QA137853NHLBI NIH HHS R01 HL118601NIDDK NIH HHS R01 DK099512NIDDK NIH HHS R01 DK102696NIDDK NIH HHS R01 DK105072NIDDK NIH HHS R01 DK107859
6 · The paper itself

Abstract

objectiveTo examine the effects of past and current night shift work and genetic type 2 diabetes vulnerability on type 2 diabetes odds. RESEARCH DESIGN AND

methodsIn the UK Biobank, we examined associations of current (

resultsCompared with day workers, all current night shift workers were at higher multivariable-adjusted odds for type 2 diabetes (none or rare night shifts: odds ratio [OR] 1.15 [95% CI 1.05-1.26]; some nights: OR 1.18 [95% CI 1.05-1.32]; and usual nights: OR 1.44 [95% CI 1.19-1.73]), except current permanent night shift workers (OR 1.09 [95% CI 0.93-1.27]). Considering a person's lifetime work schedule and compared with never shift workers, working more night shifts per month was associated with higher type 2 diabetes odds (<3/month: OR 1.24 [95% CI 0.90-1.68]; 3-8/month: OR 1.11 [95% CI 0.90-1.37]; and >8/month: OR 1.36 [95% CI 1.14-1.62];

conclusionsOur findings show that night shift work, especially rotating shift work including night shifts, is associated with higher type 2 diabetes odds and that the number of night shifts worked per month appears most relevant for type 2 diabetes odds. Also, shift work exposure does not modify genetic risk for type 2 diabetes, a novel finding that warrants replication.

Indexed as

AdultAgedBiological Specimen BanksDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedOdds RatioPrevalenceRisk FactorsShift Work ScheduleUnited KingdomWhite PeopleWork Schedule Tolerance

Identifiers

PMID29440150
PMCPMC5860836

What OpenQuestion holds

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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.