Evidence map›Paper›PMID 42440983›Full record

ArticleDepression and anxiety2026

Friend and Confidant Thresholds: Social Network Size as a Mediator Between Marital Status and Major Depressive Disorder.

Han-Sung Lee, Yong Min Ahn, Sooyeon Min, Yoojin Song, Heon-Jeong Lee, Seunghee Won, Kyu Young Lee, Dongyun Lee, Do Hoon Kim, Ji Hyun Baek and 17 more

Abstract read
In one paragraph

Article in Depression and anxiety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

27 authors.

Han-Sung LeeDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea, snuh.org.ORCID https://orcid.org/0000-0001-5391-6723
Yong Min AhnDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea, snuh.org.ORCID https://orcid.org/0000-0002-4458-797X
Sooyeon MinDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea, snuh.org.ORCID https://orcid.org/0000-0002-9414-5635
Yoojin SongDepartment of Psychiatry, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Republic of Korea, knuh.or.kr.
Heon-Jeong LeeDepartment of Psychiatry, Korea University Anam Hospital, Seoul, Republic of Korea, kumc.or.kr.ORCID https://orcid.org/0000-0002-9560-2383
Seunghee WonDepartment of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea, knu.ac.kr.ORCID https://orcid.org/0000-0002-4858-6173
Kyu Young LeeDepartment of Psychiatry, Nowon Eulji University Hospital, Seoul, Republic of Korea.
Dongyun LeeDepartment of Psychiatry, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Jinju, Republic of Korea, gnu.ac.kr.
Do Hoon KimDepartment of Psychiatry, Chuncheon Sacred Heart Hospital and Mind-Neuromodulation Laboratory, Hallym University College of Medicine, Chuncheon, Republic of Korea, hallym.ac.kr.ORCID https://orcid.org/0000-0002-6588-9221
Ji Hyun BaekDepartment of Psychiatry, Samsung Medical Center, Seoul, Republic of Korea, samsunghospital.com.
Young-Hoon KoDepartment of Psychiatry, Korea University Ansan Hospital, Ansan, Republic of Korea, kumc.or.kr.
Kwang-Yeon ChoiDepartment of Psychiatry, Chungnam National University College of Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea, cnu.ac.kr.
Young Tak JoDepartment of Psychiatry, Kangdong Sacred Heart Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-0561-2503
Sung Joon ChoDepartment of Psychiatry, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea, skkumed.ac.kr.
Hong Seok OhDepartment of Psychiatry, Konyang University Hospital, Daejeon, Republic of Korea, konyang.ac.kr.
Won Sub KangDepartment of Psychiatry, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea, khmc.or.kr.
Young Min ChoeDepartment of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea, hallym.or.kr.
Sungwon RohDepartment of Psychiatry, Hanyang University Hospital, Seoul, Republic of Korea.
Hyun-Ju KimDepartment of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea, cha.ac.kr.ORCID https://orcid.org/0000-0002-8093-3366
Joonho ChoiDepartment of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea, hanyang.ac.kr.
Ga Eun KimDepartment of Psychiatry, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea, ewha.ac.kr.ORCID https://orcid.org/0000-0003-3188-0090
So-Hyun AhnDepartment of Psychiatry, Chungnam National University College of Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea, cnu.ac.kr.
Hyeon-Ah LeeDepartment of Psychiatry, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea, sch.ac.kr.
Kenneth KendlerDepartment of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA, vcu.edu.ORCID https://orcid.org/0000-0001-8689-6570
Sang Jin RheeDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea, snuh.org.ORCID https://orcid.org/0000-0001-6221-5953
Ji-Woon JeongDepartment of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea, pnuyh.or.kr.ORCID https://orcid.org/0000-0002-9045-2494
Jonathan FlintDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California, USA, berkeley.edu.

Funding

Identifying the genetic causes of depression in a deeply phenotyped population from South KoreaU01MH126798 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AHN, YONG MIN, FLINT, JONATHAN · 2021 to 2025
$8.9M
NIMH NIH HHS U01 MH126798Wellcome Trust
6 · The paper itself

Abstract

Background: Marriage rates are declining globally, a trend particularly notable in South Korea, where demographic shifts raise concerns about social well-being. While marital status is consistently linked to mental health, the extent to which social network size mediates the association between marital status and depression, particularly among contemporary Korean women, remains insufficiently understood. Methods: We analyzed 5443 Korean women aged 40 or older from the Korean Mood Disorder Genetic Study-Depression (KOMOGEN-D) study (2394 recurrent major depressive disorder [MDD]; 3049 controls). Marital status was dichotomized into married and unmarried (never married, divorced/separated, widowed). Social network size was operationalized as the count of friends and confidants. We used multivariable logistic regression and parallel mediation analysis to examine associations. Exploratory piecewise logistic regression identified network size thresholds for MDD risk reduction. Results: Unmarried women showed nearly four-fold higher odds of MDD (odds ratio [OR] 3.99), with the highest risk among divorced/separated women (OR 4.90). Increased social network size was associated with reduced MDD odds (per additional friend: OR 0.90; per additional confidant: OR 0.84, in a mutually adjusted model), and network size accounted for ~13% of this association. A protective baseline of approximately two friends and one confidant was observed in the overall sample; however, this threshold shifted upward for unmarried women (3-4 friends/confidants). Conclusions: Living without a spouse is strongly associated with MDD, partially due to smaller social networks. Maintaining a minimum core of supportive relationships is essential, suggesting that interventions to strengthen social networks are vital public health strategies for unmarried Korean women.

Indexed as

FriendsMajor Depressive DisorderMarital StatusSocial NetworkingSocial SupportAdultAgedFemaleHumansMiddle AgedRepublic of KoreaKorean Mood Disorder Genetic Study-Depression (KOMOGEN-D)major depressive disorder (MDD)marital statussocial networksocial support

Identifiers

PMID42440983
PMCPMC13333932

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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.