Evidence map›Paper›PMID 39465239›Full record

ArticlePsychiatry investigation2024

Domestic Violence Experience, Past Depressive Disorder, Unplanned Pregnancy, and Suicide Risk in the First Year Postpartum: Mediating Effect of Postpartum Depression.

Mi-Sun Lee, Jung Jae Lee, Hooyeon Lee

Abstract read
In one paragraph

Article in Psychiatry investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

3 authors.

Mi-Sun LeeDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jung Jae LeeDepartment of Psychiatry, Dankook University Hospital, Cheonan, Republic of Korea.
Hooyeon LeeDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

Ministry of Health and Welfare HA21C0225National Cancer Center
6 · The paper itself

Abstract

objectiveThis study aimed to examine the relationship between domestic violence, past depressive disorder, unplanned pregnancy, suicide risk, and postpartum depression among Korean women using a mediation model approach.

methodsA web-based, cross-sectional survey was performed from September 21 to September 30, 2022. Participants included 1,486 women in their first year postpartum from Chungnam Province, South Korea. The generalized linear model mediation was analyzed using the R-based Jamovi 2.3.21 version program.

resultsOf all participants, 8.7% had domestic violence experience, 7.5% had been diagnosed with depressive disorder by the doctor in the past, 33.0% had reported that the last pregnancy was unplanned, 39.9% had postpartum depression, and 11.2% of the participants had a suicide risk. Among the participants with a high risk of suicide, 34.4%, 37.5%, 53.1%, and 96.9% reported experiencing domestic violence, past depressive disorder, an unplanned pregnancy, and postpartum depression, respectively. Postpartum depression partially mediated the relationship between domestic violence, past depressive disorder, and suicide risk and completely mediated the relationship between unplanned pregnancy and suicide risk.

conclusionOur findings highlight the necessity for screening and early intervention for suicide risk and postpartum depression from pregnancy to the first year postpartum.

Indexed as

Depressive disorderDomestic violencePostpartum depressionSuicideUnplanned pregnancy

Identifiers

PMID39465239
PMCPMC11513864

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.