Evidence map›Paper›PMID 38193332›Full record

ArticleJournal of Korean medical science2024

Associations of Night Shift Status During Pregnancy With Small for Gestational Age and Preterm Births.

Se Jin Lee, Chorong Kim, Eun Ju Lee, Myoung-Nam Lim, Sunghun Na, Woo Jin Kim, Ko-CHENS Study Group

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2024. 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
1.5field-weighted citation impact, top 16% 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, 6 citations in OpenAlex.

  1. Article
  2. FTO-mediated NR1D1 mScientific reports · 2026
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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

7 authors at 2 institutions in 1 country.

Se Jin LeeDepartment of Obstetrics and Gynecology, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Korea.ORCID https://orcid.org/0000-0002-8626-6250
Chorong KimDepartment of Obstetrics and Gynecology, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Korea.ORCID https://orcid.org/0000-0002-5403-9862
Eun Ju LeeDepartment of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon, Korea.ORCID https://orcid.org/0000-0001-6395-7182
Myoung-Nam LimDepartment of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon, Korea.ORCID https://orcid.org/0000-0003-3562-0667
Sunghun NaDepartment of Obstetrics and Gynecology, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Korea. lahun@kangwon.ac.kr.ORCID https://orcid.org/0000-0002-2803-8356
Woo Jin KimDepartment of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon, Korea. pulmo2@kangwon.ac.kr.ORCID https://orcid.org/0000-0003-2927-370X
Ko-CHENS Study Group
Kangwon National University · KRKangwon National University Hospital · KR

Funding

Ministry of Environment NIER-2021-04-02-156National Research Foundation of Korea 2022RIS-005
6 · The paper itself

Abstract

backgroundShift work, including night shift work, during pregnancy has been associated with adverse birth outcomes such as small for gestational age (SGA) infants and preterm births. This study, conducted in South Korea using the Korean CHildren's ENvironmental health Study (Ko-CHENS) cohort, aimed to investigate the association between shift work and night shift status during pregnancy and adverse birth outcomes.

methodsThe Korean Ko-CHENS is a nationwide prospective birth cohort study of children's environmental diseases, conducted by the Ministry of Environment and the National Institute of Environmental Research. This study included pregnant women recruited from 2015 to 2020 for Ko-CHENS Core Cohorts, and 4,944 out of a total of 5,213 pregnant women were selected as final subjects. A logistic regression model was used to identify the risk factors affecting SGA births, preterm births, and low-birth-weight infants, and the odds ratio (OR) was adjusted. This was confirmed by calculating ORs. Maternal age, infant sex, maternal educational status, body mass index, smoking status, alcohol consumption status, parity, gestational diabetes mellitus, preeclampsia, and abortion history were used as adjusted variables.

resultsNo statistically significant differences were observed in the birth outcomes or maternal working patterns. There were no significant differences in the adjusted odds ratios (aORs) of SGA and preterm births between the non-worker, day worker, and shift worker. However, there was a significant difference in the aORs of SGA between non-workers and night shift workers. (aORs [95% confidence interval], 2.643 [1.193-5.859]).

conclusionWorking during pregnancy did not increase the risk of SGA or preterm birth, and night shift work did not increase the risk of preterm birth. However, night-shift work increases the risk of SGA.

Indexed as

Premature BirthAlcohol DrinkingChildCohort StudiesFemaleGestational AgeHumansInfantInfant, NewbornPregnancyProspective StudiesPregnancyShift Work ScheduleSmall for Gestational Age

Identifiers

PMID38193332
PMCPMC10782040
OpenAlexW4390244557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.