Evidence map›Paper›PMID 31078673›Full record

ArticlePhysiology & behavior2019

Maternal rotating night shift work before pregnancy and offspring stress markers.

S Strohmaier, E E Devore, T Huang, C Vetter, A H Eliassen, B Rosner, O I Okereke, S B Austin, E S Schernhammer

Open access · greenAbstract read
In one paragraph

Article in Physiology & behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Salivary Biomarkers and Work-Related Stress in Night Shift Workers.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Review
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

9 authors at 2 institutions in 2 countries.

S StrohmaierChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Center for Public Health, Medical University of Vienna, Austria.
E E DevoreChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America.
T HuangChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America.
C VetterChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Integrative Physiology, University of Colorado, Boulder, CO, United States of America.
A H EliassenChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
B RosnerChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Departments of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
O I OkerekeChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Department of Psychiatry, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, United States of America.
S B AustinDivision of Adolescent and Young Adult Medicine, Boston Children's Hospital, Boston, MA, United States of America; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
E S SchernhammerChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Center for Public Health, Medical University of Vienna, Austria; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America. Electronic address: eva.schernhammer@meduniwien.ac.at.
Harvard University · USBrigham and Women's Hospital · US

Funding

Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Minimizing Cancer Risk in Shift WorkersR01OH009803 · OH · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHERNHAMMER, EVA S · 2010 to 2018
$4.5M
Sexual Orientation and Obesity: Test of a Gendered Biopsychosocial ModelR01HD066963 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI AUSTIN, S BRYN · 2011 to 2015
$3.5M
Causes and Impact of Minority Stress on Health and Development in YouthR01HD057368 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI AUSTIN, S BRYN, ROSARIO, MARGARET · 2009 to 2013
$3.3M
Elucidating Inflammatory and Metabolic Pathways in Obstructive Sleep Apnea DevelopmentK01HL143034 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HUANG, TIANYI · 2018 to 2022
$885k
ACL HHS R01OH009803NCI NIH HHS U01 CA176726NICHD NIH HHS R01 HD057368NICHD NIH HHS R01 HD066963NIOSH CDC HHS R01 OH009803
6 · The paper itself

Abstract

backgroundRecent studies suggest an intergenerational influence of stress such that maternal exposure even before pregnancy could impact offspring health outcomes later in life. In humans, investigations on the impact of maternal stressors on offspring health outcomes, including stress-sensitive biomarkers, have largely been limited to extreme stressors. Prior studies have not addressed more moderate maternal stressors, such as rotating night shift work, on offspring stress markers in young adulthood.

methodsWe investigated the association between maternal rotating night shift work before conception and offspring salivary cortisol and alpha amylase (sAA) patterns in young adulthood among mothers enrolled in the Nurses' Health Study II (NHSII) and their offspring participating in the Growing Up Today Study 2 (GUTS2). Our sample included over 300 mother-child pairs where, between 2011 and 2014, the children provided 5 saliva samples over the course of one day. We used piecewise linear mixed models to compare awakening responses, overall slopes as well as several other diurnal patterns of cortisol and sAA between offspring born to shift working versus non-shift working mothers.

resultsOffspring born to shift working mothers had a flattened late decline in cortisol (percent differences in slope (%D): 2.1%; 95%CI: 0.3, 3.8) and their sAA awakening response was steeper (%D -37.4%; 95%CI: -59.0, -4.4), whereas sAA increase before bedtime appeared less pronounced (%D -35.9%; 95%CI: -55.3, -8.3), compared to offspring born to mothers without shift work. For cortisol, we observed a significant difference in the Area Under the Curve (AUC) (%D 1.5%; 95%CI: 0.3, 2.7) with higher AUC for offspring of mothers who worked rotating night shifts. In offspring-sex-stratified analyses we found differences primarily among males.

conclusionOur results provide some - albeit modest - evidence that maternal rotating night shift work-a moderate stressor-influences offspring stress markers. Future studies with larger samples sizes, more detailed exposure assessment (particularly during maternal pregnancy), and multiple offspring biomarker assessments at different developmental stages are needed to further investigate these associations.

Indexed as

Shift Work ScheduleAdultalpha-AmylasesBiomarkersFemaleHealth StatusHumansHydrocortisoneInfantInfant, NewbornIntergenerational RelationsMaleMothersNursesPregnancyPregnancy Outcomealpha-AmylasesBiomarkersHydrocortisoneCircadian disruptionCortisolIntergenerationalMaternal night shift workOffspring stressSalivary alpha amylase

Identifiers

PMID31078673
PMCPMC8294042
OpenAlexW2944592844

What OpenQuestion holds

Textmetadata
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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.