Evidence map›Paper›PMID 37594237›Full record

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

Distance in Disconnection: The Varied Impact of Core Network Losses on Loneliness Among Older Europeans.

Haosen Sun, Markus H Schafer

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. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Haosen SunSchool of Public Health, University of Nevada, Reno, Reno, Nevada, USA.ORCID 0000-0003-2907-0443
Markus H SchaferDepartment of Sociology, Baylor University, Waco, Texas, USA.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related DementiasP01AG005842 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI JOSEPH J DOYLE · 1986 to 2026
$56.5M
RAND CENTER FOR THE STUDY OF AGINGP30AG012815 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1999 to 2020
$13.7M
DEVELOPING AN ISRAELI VERSION OF THE HRS/SHARE PROJECTR21AG025169 · NIA · HEBREW UNIVERSITY OF JERUSALEM · PI LITWIN, HOWARD · 2004 to 2006
$297k
NIA NIH HHS HHSN271201300071CNIA NIH HHS P01 AG005842NIA NIH HHS P30 AG012815NIA NIH HHS R21 AG025169NIA NIH HHS U01_AG09740-13S2
6 · The paper itself

Abstract

objectivesResearch among older adults reveals that the loss of core network members is a risk factor for loneliness. Still, it is not clear whether all such losses induce similar levels of loneliness, particularly as network members are distributed at varied geographic distances. Neither is it clear whether tie addition-the other ubiquitous aspect of network turnover in later life-offsets the loneliness that arises from different network loss scenarios.

methodsThis paper scrutinized core network losses across multiple relationship-distance scenarios. We used the fourth and sixth waves of data from the Survey of Health, Ageing, and Retirement in Europe and estimated fixed-effect models.

resultsThe loss of a child from a core network increases feelings of loneliness across variant distances, especially when not complemented by additional connections. Losing relatives or nonkin core connections in proximity (within 1 km and 5 km radius, respectively) is also associated with increased loneliness, yet such effects are also largely mitigated by the addition of new core network members. DISCUSSION: The relationship between core network member losses and loneliness can significantly differ based on the nature of the lost connection and its geographic distance. Active rebalancing of one's core network following losses and proactive network expansion can serve as pivotal strategies to prevent loneliness for the aging population.

Indexed as

European PeopleLonelinessAgedAgingEmotionsHumansNetwork lossNetwork replenishmentProximity

Identifiers

PMID37594237
PMCPMC10645308

What OpenQuestion holds

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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.