Evidence map›Paper›PMID 40813055›Full record

ArticleJournal of epidemiology and community health2025

Social network characteristics and levels of fluctuations in momentary depressive symptomatology among older adults.

Vernon Cail, Mariëlle A Beenackers, Frank J Van Lenthe, Joost Oude Groeniger, Giovanna Fancello, Andrea Montanari, Cédric Sueur, Yan Kestens, Julie Vallée, Basile Chaix

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 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

10 authors.

Vernon CailDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Zuid-Holland, The Netherlands.ORCID 0009-0008-9143-4248
Mariëlle A BeenackersDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Zuid-Holland, The Netherlands.
Frank J Van LentheDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Zuid-Holland, The Netherlands.
Joost Oude GroenigerDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Zuid-Holland, The Netherlands.ORCID 0000-0002-0691-1679
Giovanna FancelloINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, Paris, Île-de-France, France.
Andrea MontanariINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, Paris, Île-de-France, France.
Cédric SueurIPHC UMR7178, CNRS, Université de Strasbourg, Strasbourg, Alsace, France.
Yan KestensÉcole de santé publique, Université de Montréal, Montreal, Quebec, Canada.
Julie ValléeUMR Géographie-cités, CNRS, Paris-Aubervilliers, Île-de-France, France.ORCID 0000-0001-8701-3047
Basile ChaixINSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, Paris, Île-de-France, France basile.chaix@iplesp.upmc.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial networks are known to protect against depressive symptoms in older adults. However, most research relies on retrospective self-reported depression measures and cross-sectional data, which may introduce bias. Ecological momentary assessment with longitudinal data overcomes these limitations by repeatedly measuring the subject's experience in the present moment. This study examined how social network characteristics relate to momentary depressive symptoms and their daily fluctuations in older adults.

methodsWe analysed data from 216 older adults in Paris, France, using the Healthy Aging and Networks in Cities and Promoting Mental Well-Being and Healthy Aging in Cities studies. Social network characteristics included network size and frequency of in-person and digital interactions per week. Depressive symptomatology was assessed using a daily smartphone survey of the Center for Epidemiological Studies-Depression over a week. Linear mixed-effect models estimated associations between social network characteristics and momentary depressive symptoms, while multivariable linear models examined relationships with daily symptom fluctuations.

resultsNetwork size and frequency of contact from digital communications per week were not associated with fewer depressive symptoms; however, there was suggestion that having more in-person contact was related to fewer depressive symptoms (exp(β) = 0.90, 95% CI 0.82 to 1.00). Moreover, having a larger social network (exp(β) = 0.91, 95% CI 0.85 to 0.98) and more in-person contacts (exp(β) = 0.96, 95% CI 0.93 to 0.98) were associated with less fluctuations in daily depressive symptoms, but no association for the frequency of contact from digital communications was observed.

conclusionFindings from this study suggest that larger social networks and more in-person contact may promote more stable and better mental health among older adults.

Indexed as

DepressionSocial NetworkingSocial SupportAgedAged, 80 and overCross-Sectional StudiesEcological Momentary AssessmentFemaleHumansLongitudinal StudiesMaleMiddle AgedParisDEPRESSIONHealthy AgingPUBLIC HEALTH

Identifiers

PMID40813055
PMCPMC12573400

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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.