Evidence map›Paper›PMID 40333665›Full record

ArticlePloS one2025

Social network characteristics associated with mid-to-older aged adults' co-engagement in physical activity.

Martin Anderson, Srebrenka Letina, Mark McCann, Jelena Milicev, Grace Dibben, Abi MacDonald, Kirstin Mitchell, Laurence Moore, Jonathan R Olsen, Victoria J Palmer and 4 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

14 authors.

Martin AndersonMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0003-0958-9942
Srebrenka LetinaMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.
Mark McCannMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.
Jelena MilicevMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.
Grace DibbenMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-7254-5187
Abi MacDonaldMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0003-1016-0780
Kirstin MitchellMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.
Laurence MooreMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.
Jonathan R OlsenMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-5356-8615
Victoria J PalmerMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.
Benjamin P RigbyPopulation Health Sciences Institute, Newcastle University, Newcastle-upon-Tyne, United Kingdom.ORCID https://orcid.org/0000-0002-6997-5194
Sharon A SimpsonMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.
Meigan ThomsonMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-2171-9159
Emily LongMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPhysical activity is associated with a greater quantity and quality of social connections. Participating in physical activity with others (co-engagement) has dual physical and social benefits that can promote healthy ageing. We aimed to understand the social network characteristics of mid-to-older aged adults associated with co-engagement in physical activity.

methodsAdults aged 55-75 years completed a social network survey (3679 social contacts reported by 140 participants). Multilevel modelling was used to identify the characteristics of participants, social contacts, and relationships that were predictive of co-engagement in physical activity.

resultsNetwork size and relationship quality were not associated with co-engagement. Similarity in age, greater interaction frequency, closer geographic proximity, and shorter relationship length were associated with higher odds of co-engagement. DISCUSSION: For co-engagement, the quality and quantity of relationships were less important than the convenience and accessibility of relationships, particularly newer relationships. As such, co-engagement ties can be understood as part of a dynamic social convoy which fulfil a specific function at a specific life stage. An understanding of naturally occurring tendencies for co-engagement may be utilised to identify leverage points for the development of interventions.

Indexed as

ExerciseSocial NetworkingSocial SupportAgedFemaleHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID40333665
PMCPMC12057854

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.