Evidence map›Paper›PMID 38258363›Full record

ArticleJournal of Korean medical science2024

Risk Factors of Postpartum Depression Among Korean Women: An Analysis Based on the Korean Pregnancy Outcome Study (KPOS).

So Hyun Shim, Su Young Lee, Inkyung Jung, Seok-Jae Heo, You Jung Han, Dong Wook Kwak, Min Hyoung Kim, Hee Jin Park, Jin Hoon Chung, Ji Hyae Lim and 5 more

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
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  5. Article
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

15 authors at 7 institutions in 1 country.

So Hyun Shim *Department of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Korea.ORCID https://orcid.org/0000-0002-2940-2818
Su Young Lee *Department of Psychiatry, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea.ORCID https://orcid.org/0000-0003-3125-3409
Inkyung JungDivision of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3780-3213
Seok-Jae HeoDivision of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8764-7995
You Jung HanDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Korea.ORCID https://orcid.org/0000-0003-4087-9198
Dong Wook KwakDepartment of Obstetrics and Gynecology, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0003-2447-561X
Min Hyoung KimDepartment of Obstetrics and Gynecology, Gangseo MizMedi Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-5510-8049
Hee Jin ParkDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Korea.ORCID https://orcid.org/0000-0003-0538-3517
Jin Hoon ChungDepartment of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5137-0680
Ji Hyae LimSmart MEC Healthcare R&D Center, CHA Future Medicine Research Institute, CHA Bundang Medical Center, Seongnam, Korea.ORCID https://orcid.org/0000-0002-1105-7235
Moon Young KimDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Korea.ORCID https://orcid.org/0000-0001-8881-2027
Dong Hyun ChaDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Korea.ORCID https://orcid.org/0000-0003-0722-1714
Sung Shin ShimDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Korea.ORCID https://orcid.org/0000-0003-1186-7040
Hee Young ChoDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Korea. hycho.md@gmail.com.ORCID https://orcid.org/0000-0001-7064-5056
Hyun Mee RyuSmart MEC Healthcare R&D Center, CHA Future Medicine Research Institute, CHA Bundang Medical Center, Seongnam, Korea.ORCID https://orcid.org/0000-0002-0710-2582
CHA University · KRCHA University Bundang Medical Center · KRMizMedi Hospital · KRYonsei University · KRAjou University · KRMyongji Hospital · KRUlsan College · KR

Funding

Korea Health Industry Development Institute HI21C1779
6 · The paper itself

Abstract

backgroundPostpartum depression (PPD) can negatively affect infant well-being and child development. Although the frequency and risk factors of PPD symptoms might vary depending on the country and culture, there is limited research on these risk factors among Korean women. This study aimed to elucidate the potential risk factors of PPD throughout pregnancy to help improve PPD screening and prevention in Korean women.

methodsThe pregnant women at 12 gestational weeks (GW) were enrolled from two obstetric specialized hospitals from March 2013 to November 2017. A questionnaire survey was administered at 12 GW, 24 GW, 36 GW, and 4 weeks postpartum. Depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale, and PPD was defined as a score of ≥ 10.

resultsPPD was prevalent in 16.3% (410/2,512) of the participants. Depressive feeling at 12 GW and postpartum factors of stress, relationship with children, depressive feeling, fear, sadness, and neonatal intensive care unit admission of baby were significantly associated with a higher risk of PPD. Meanwhile, high postpartum quality of life and marital satisfaction at postpartum period were significantly associated with a lower risk of PPD. We developed a model for predicting PPD using factors as mentioned above and it had an area under the curve of 0.871.

conclusionDepressive feeling at 12 GW and postpartum stress, fear, sadness, relationship with children, low quality of life, and low marital satisfaction increased the risk of PPD. A risk model that comprises significant factors can effectively predict PPD and can be helpful for its prevention and appropriate treatment.

Indexed as

Depression, PostpartumPregnancy OutcomeChildFemaleHumansInfantInfant, NewbornPregnancyQuality of LifeRepublic of KoreaRisk FactorsEdinburgh Postnatal Depression ScalePostpartum DepressionPregnancy

Identifiers

PMID38258363
PMCPMC10803203
OpenAlexW4390655094

What OpenQuestion holds

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LicenceCC BY-NC
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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.