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Associations of Night Shift Status During Pregnancy With Small for Gestational Age and Preterm Births.
Lee, Se Jin; Kim, Chorong; Lee, Eun Ju; Lim, Myoung-Nam; Na, Sunghun; Kim, Woo Jin.
Affiliation
  • Lee SJ; Department of Obstetrics and Gynecology, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Korea.
  • Kim C; Department of Obstetrics and Gynecology, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Korea.
  • Lee EJ; Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon, Korea.
  • Lim MN; Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon, Korea.
  • Na S; Department of Obstetrics and Gynecology, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Korea. lahun@kangwon.ac.kr.
  • Kim WJ; Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon, Korea. pulmo2@kangwon.ac.kr.
J Korean Med Sci ; 39(1): e25, 2024 Jan 08.
Article in En | MEDLINE | ID: mdl-38193332
ABSTRACT

BACKGROUND:

Shift 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.

METHODS:

The 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.

RESULTS:

No 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]).

CONCLUSION:

Working 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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Premature Birth Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Female / Humans / Infant / Newborn / Pregnancy Language: En Journal: J Korean Med Sci Journal subject: MEDICINA Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Premature Birth Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Female / Humans / Infant / Newborn / Pregnancy Language: En Journal: J Korean Med Sci Journal subject: MEDICINA Year: 2024 Document type: Article
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