Evidence map›Paper›PMID 39601437›Full record

ArticleJournal of personality2025

Livin' La Vida Sola: Network Diversity and Well-Being in Middle-Aged Adults Living Alone.

Philipp Kersten, Marcus Mund, Franz J Neyer

Abstract read
In one paragraph

Article in Journal of personality, 2025. 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

3 authors.

Philipp KerstenDepartment of Psychology, Friedrich Schiller University Jena, Jena, Germany.ORCID https://orcid.org/0000-0002-3500-6387
Marcus MundPsychological Assessment and Personality Psychology, University of Klagenfurt, Klagenfurt, Austria.
Franz J NeyerDepartment of Psychology, Friedrich Schiller University Jena, Jena, Germany.

Funding

German Research Foundation NE 633/11-1
6 · The paper itself

Abstract

backgroundFor individuals living alone, having a diverse personal network is considered crucial for mitigating the risk of social isolation and enhancing well-being. Although a reciprocal dynamic between network diversity and well-being is likely, longitudinal evidence supporting reciprocal effects is limited. This study investigates dynamic transactions between network diversity and well-being (life satisfaction, loneliness, and depressiveness) in a community-based sample of middle-aged adults from Germany. It also explores moderations by the duration of living alone.

methodData were drawn from the three-wave RIKSCHA (Risks and Chances of Living Alone) project, which includes N = 389 middle-aged adults living alone.

resultsCross-lagged panel models revealed high rank-order stabilities and correlated changes in network diversity and well-being. Random-intercept cross-lagged panel models and dynamic panel models indicated that unobserved traits accounted for these high stabilities. Correlated changes disappeared when accounting for the trait-like stability of variables. Across all models, no evidence of reciprocal associations between network diversity and well-being was found. All results remained consistent regardless of the duration of living alone.

conclusionsThe study discusses trait factors accounting for the high stabilities observed in network diversity and well-being among middle-aged adults living alone. Future research should further explore the traits impacting successful adaptation to living alone within the context of personal networks.

Indexed as

DepressionLonelinessPersonal SatisfactionSocial IsolationSocial NetworkingSocial SupportAdultFemaleGermanyHumansLongitudinal StudiesMaleMiddle Agedcross‐lagged panel modeldynamic panel modeldynamic transactionsliving alonemidlifenetwork diversityrandom‐intercept cross‐lagged panel modelwell‐being

Identifiers

PMID39601437
PMCPMC12421717

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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.