Evidence map›Paper›PMID 37559482›Full record

ArticlePsychiatry investigation2023

Association of Social Support and Postpartum Depression According to the Time After Childbirth in South Korea.

Seongju Kim, Dong Jun Kim, Mi-Sun Lee, Hooyeon Lee

Open access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2023. 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
3.2field-weighted citation impact, top 8% 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, 11 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Seongju KimDepartment of Public Health and Healthcare Management, Graduate School, The Catholic University of Korea, Seoul, Republic of Korea.
Dong Jun KimDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Mi-Sun LeeDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Hooyeon LeeDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Catholic University of Korea · KR

Funding

Catholic Medical Center Research Foundation 5-2022-B0001-00207Ministry of Health and Welfare HA21C0225National Cancer Center
6 · The paper itself

Abstract

objectiveThis study examined the association between social support and postpartum depression (PPD) according to the time after childbirth within 12 months in South Korea.

methodsData were collected from 1,481 women in Chungnam Province, South Korea from September 21 to 30, 2022. Multivariate logistic regression models were used to examine the association between social support and PPD. Subgroup analysis of the associations of support from family, friends, and significant others with PPD according to the time after childbirth was undertaken using crude and adjusted models.

resultsOf the participants, 39.91% had PPD. The prevalence of PPD was 36.05% at <3 months, 37.50% at 3≤ to <6 months, and 44.41% at 6≤ to <12 months. A 1-point increase in the social support score was associated with an increase in the adjusted odds ratio of PPD of 0.91 (95% confidence interval=0.90-0.93). Social support from family was significantly associated with PPD regardless of the time after childbirth. Support from significant others was significantly associated with PPD after 6≤ to <12 months.

conclusionFamily support should be provided consistently to women after birth; social connections with significant others can prevent PPD.

Indexed as

Family supportPostpartum depressionPPDSocial support

Identifiers

PMID37559482
PMCPMC10460980
OpenAlexW4385716967

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.