Evidence map›Paper›PMID 38377836›Full record

ArticleSocial science & medicine (1982)2024

A bridge too far? Social network structure as a determinant of depression in later life.

Tianyao Qu

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2024. 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

1 author.

Tianyao QuDepartment of Sociology, Cornell University, 345 Uris Hall, Ithaca, NY 14853, USA. Electronic address: tq34@cornell.edu.

Funding

National Social Life, Health, and Aging Project: Round 5R01AG048511 · NIA · NATIONAL OPINION RESEARCH CENTER · PI LINDA J WAITE · 2014 to 2026
$49.5M
National Social Life, Health and Aging: Wave 4R01AG043538 · NIA · NATIONAL OPINION RESEARCH CENTER · PI LINDA J WAITE · 2013 to 2026
$42.7M
National Social Life, Health, and Aging Project: Anaylsis of Wave 1 and Wave 2R37AG030481 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA J · 2008 to 2017
$15.4M
National Social Life, Health and Aging Project (RMI)R01AG021487 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA J · 2003 to 2007
$12.2M
NSHAP Wave II Partner Data CollectionR01AG033903 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA J · 2009 to 2013
$5.8M
NIA NIH HHS R01 AG021487NIA NIH HHS R01 AG033903NIA NIH HHS R01 AG043538NIA NIH HHS R01 AG048511NIA NIH HHS R37 AG030481
6 · The paper itself

Abstract

Existing research has documented various determinants of mental health related to individuals' social connections, but less is known about the role of the structural features of interpersonal networks. This is especially true in the case of bridging, which refers to ties to people who are otherwise disconnected from each other. By intersecting theories of social networks and gerontology, this study employs within- and between-person analysis with data from the National Social Life, Health, and Aging Project (NSHAP) to examine the association between social network bridging and depression in later life. The study finds that bridging, particularly between kin and non-kin members in the network, is associated with increased depressive symptoms in later life. This association is contingent on social support and strain respondents experienced, and it exhibits variations within individuals over time, especially among older adults in the youngest age cohort (57-64 years old included in NSHAP in 2005). In closing, the paper discusses the extent to which heterogeneous network structures may be one mechanism that shapes mental health trajectories in the context of later life-course experiences.

Indexed as

DepressionInterpersonal RelationsAgedAgingHumansMiddle AgedSocial NetworkingSocial SupportAgingBridgingDepressive symptomsSocial network structureWithin-between models

Identifiers

PMID38377836
PMCPMC10947835

What OpenQuestion holds

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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.