Evidence map›Paper›PMID 24331828›Full record

ArticleEarly human development2014

Prenatal maternal depression is associated with low birth weight through shorter gestational age in term infants in Korea.

Hyoung Yoon Chang, Katherine M Keyes, Kyung-Sook Lee, In Ae Choi, Se Joo Kim, Kyung Won Kim, Youn Ho Shin, Kang Mo Ahn, Soo-Jong Hong, Yee-Jin Shin

Abstract read
In one paragraph

Article in Early human development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 6 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.

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

28 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  6. [Association between depression during pregnancy and low birth weight in neonates: a Meta analysis].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2017
    Pooled it
  7. Article
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  13. The importance of depression during pregnancy.JBRA assisted reproduction · 2020
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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

10 authors.

Hyoung Yoon ChangDepartment of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Epidemiology, Columbia University Mailman School of Public Health, NY, USA.
Katherine M KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, NY, USA.
Kyung-Sook LeeDepartment of Rehabilitation, Hanshin University, Gyeonggi-do, Republic of Korea.
In Ae ChoiSewon Infant Child Development Center, Seoul, Republic of Korea.
Se Joo KimDepartment of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea; Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Kyung Won KimDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Youn Ho ShinDepartment of Pediatrics, CHA Medical Center, Pochon CHA University College of Medicine, Seoul, Republic of Korea.
Kang Mo AhnDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Soo-Jong HongDepartment of Pediatrics, Childhood Asthma Atopy Center, Research Center for Standardization of Allergic Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: sjhong@amc.seoul.kr.
Yee-Jin ShinDepartment of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: yjshin@yuhs.ac.

Funding

Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
NIAAA NIH HHS K01 AA021511
6 · The paper itself

Abstract

backgroundMaternal prenatal depression is associated with lower offspring birth weight, yet the impact of gestational age on this association remains inadequately understood.

aimsWe aimed to investigate the effect of prenatal depression on low birth weight, gestational age, and weight for gestational age at term. STUDY

designProspective cohort study. SUBJECT: Data were collected from 691 women in their third trimester of pregnancy who went on to give birth to a singleton at term without perinatal complications. One hundred and fifty-two women had a Center for Epidemiologic Studies Depression Scale-10 score ≥10 and were classed as prenatally depressed. OUTCOME MEASURES: Low birth weight (<2500g), gestational age at birth, and birth weight percentile for gestational age.

resultsOffspring of prenatally depressed women were more likely to be low birth weight (Odds ratio [OR] 2.94, 95% confidence interval [CI] 1.14-7.58) than offspring of prenatally non-depressed women, but the association was attenuated (OR 1.66, 95% CI 0.55-5.02) when adjusted for gestational age. Offspring of prenatally depressed women had lower gestational age in weeks (OR for one week increase in gestational age: 0.66, 95% CI 0.47-0.93) than offspring of prenatally non-depressed women. There was no association between prenatal depression and birth weight percentile for gestational age.

conclusionsPrenatal depression was not associated with low birth weight at term, but was associated with gestational age, suggesting that association between maternal depression and birth weight may be a reflection of the impact of depression on offspring gestational age.

Indexed as

Birth WeightGestational AgeAdultCase-Control StudiesCohort StudiesDepressionFemaleHumansInfant, Low Birth WeightInfant, NewbornKoreaPregnancyPregnancy ComplicationsProspective StudiesBirth weight for gestational ageGestational ageLow birth weightPrenatal depressionProspective studySouth Korea

Identifiers

PMID24331828
PMCPMC5365071

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.