Evidence map›Paper›PMID 35961306›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2023

The Mental Health Benefit of Friend Networks in Older Korean Americans: The Conditioning Effect of Family Type.

Yuri Jang, Nan Sook Park, Juyoung Park, David A Chiriboga, William E Haley, Miyong T Kim

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Yuri JangEdward R. Roybal Institute on Aging, Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-8239-1778
Nan Sook ParkSchool of Social Work, University of South Florida, Tampa, FL, USA.ORCID 0000-0003-1751-182X
Juyoung ParkEdward R. Roybal Institute on Aging, Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA.
David A ChiribogaDepartment of Child and Family Studies, University of South Florida, Tampa, FL, USA.
William E HaleySchool of Aging Studies, University of South Florida, Tampa, FL, USA.
Miyong T KimSchool of Nursing, University of Texas at Austin, Austin, TX, USA.

Funding

Limited English Proficiency, Health, and Healthcare among Older ImmigrantsR01AG047106 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI JANG, YURI · 2015 to 2019
$1.8M
NIA NIH HHS R01AG047106
6 · The paper itself

Abstract

objectivesWe identified types of family relationships of older Korean Americans and examined how the mental health benefit of friend networks might be conditioned by family type.

methodsData were from 2,070 participants in the Study of Older Korean Americans, a multistate survey of Korean immigrants aged 60 and older (Mage = 73.3, standard deviation [SD] = 8.01). To identify family types, latent profile analysis (LPA) was performed with marital status, living arrangement, family network, positive and negative interactions with family members, and family mistreatment. Linear regression models examined how mental distress was associated with friend networks and family types, as well as their interactions.

resultsLPA identified 5 family types: close-knit, intimate but distant, detached, connected but dysfunctional, and dysfunctional. Greater distress was associated with smaller friend networks and belonging to the detached, connected but dysfunctional, and dysfunctional family types in comparison to the close-knit type. The interaction model showed that people in the connected but dysfunctional and dysfunctional groups had a stronger association between friend networks and mental distress than the counterparts in the close-knit group. DISCUSSION: We not only confirmed the health-promoting role of friend networks and the value of a close-knit family but also found that the benefit of friend networks was pronounced when quality of the family relationship was impaired. Our findings called renewed attention to older immigrants' social convoys of family and friends, suggesting that the enhancement of friend networks could be particularly advantageous for older immigrants with dysfunctional family relationships.

Indexed as

FriendsMental HealthAgedAsianFamilyHumansMiddle AgedSocial SupportSurveys and QuestionnairesAsian AmericansFamily relationshipsFriend networkMental healthOlder immigrants

Identifiers

PMID35961306
PMCPMC9890900

What OpenQuestion holds

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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.