Evidence map›Paper›PMID 36273484›Full record

SynthesisThe lancet. Healthy longevity2022

Associations between social connections and cognition: a global collaborative individual participant data meta-analysis.

Suraj Samtani, Gowsaly Mahalingam, Ben Chun Pan Lam, Darren M Lipnicki, Maria Fernanda Lima-Costa, Sergio Luís Blay, Erico Castro-Costa, Xiao Shifu, Maëlenn Guerchet, Pierre-Marie Preux and 26 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in The lancet. Healthy longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 7 pooled it
–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

67 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  17. Do all components of psychological well-being predict cognitive function?The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

36 authors.

Suraj SamtaniCentre for Healthy Brain Ageing, Discipline of Psychiatry, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia. Electronic address: s.samtani@unsw.edu.au.
Gowsaly MahalingamCentre for Healthy Brain Ageing, Discipline of Psychiatry, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.
Ben Chun Pan LamCentre for Healthy Brain Ageing, Discipline of Psychiatry, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.
Darren M LipnickiCentre for Healthy Brain Ageing, Discipline of Psychiatry, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.
Maria Fernanda Lima-CostaCenter for Studies in Public Health and Aging, René Rachou Research Center, Oswaldo Cruz Foundation, Belo Horizonte, Brazil.
Sergio Luís BlayDepartment of Psychiatry, Federal University of São Paulo, São Paulo, Brazil.
Erico Castro-CostaCenter for Studies in Public Health and Aging, René Rachou Research Center, Oswaldo Cruz Foundation, Belo Horizonte, Brazil.
Xiao ShifuDepartment of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Maëlenn GuerchetInserm U1094, IRD UMR270, University of Limoges, CHU Limoges, Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France.
Pierre-Marie PreuxInserm U1094, IRD UMR270, University of Limoges, CHU Limoges, Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France.
Antoine GbessemehlanInserm U1094, IRD UMR270, University of Limoges, CHU Limoges, Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France.
Ingmar SkoogDepartment of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health, University of Gothenburg, Mölndal, Sweden; Psychiatry, Cognition and Old Age Psychiatry Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden.
Jenna NajarDepartment of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health, University of Gothenburg, Mölndal, Sweden; Psychiatry, Cognition and Old Age Psychiatry Clinic, Sahlgrenska University Hospital, Gothenburg, Sweden.
Therese Rydberg SternerDepartment of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health, University of Gothenburg, Mölndal, Sweden.
Nikolaos Scarmeas1st Department of Neurology, Aiginition University Hospital of Athens, National and Kapodistrian University of Athens, Athens, Greece; Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA.
Ki-Woong KimDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea; Department of Psychiatry, Seoul National University College of Medicine and Department of Brain and Cognitive Science, College of Natural Sciences, Seoul National University, Seoul, South Korea.
Steffi Riedel-HellerInstitute of Social Medicine, Occupational Health and Public Health, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
Susanne RöhrInstitute of Social Medicine, Occupational Health and Public Health, Faculty of Medicine, University of Leipzig, Leipzig, Germany; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
Alexander PabstInstitute of Social Medicine, Occupational Health and Public Health, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
Suzana ShaharCentre for Healthy Aging and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Katya NumbersCentre for Healthy Brain Ageing, Discipline of Psychiatry, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.
Mary GanguliDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Epidemiology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Erin JacobsenDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Tiffany F HughesDepartment of Sociology, Anthropology, and Gerontology, Youngstown State University, Youngstown, OH, USA.
Michael CroweDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Tze Pin NgDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Jane MaddockMRC Unit for Lifelong Health and Ageing, University College London, London, UK.
Anna MarsegliaDivision of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.
René MélisDepartment of Geriatrics, Radboud University Medical Centre, Nijmegen, Netherlands.
Dorota SzcześniakDepartment of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
Henrik WiegelmannDepartment of Health Care Research, Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany.
Myrra Vernooij-DassenFaculty of Medical Sciences, Radboud University, Nijmegen, Netherlands.
Yun-Hee JeonSusan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Perminder S SachdevCentre for Healthy Brain Ageing, Discipline of Psychiatry, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.
Henry BrodatyCentre for Healthy Brain Ageing, Discipline of Psychiatry, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.
SHARED consortium for the Cohort Studies of Memory in an International Consortium (COSMIC)

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
Mild Cognitive Impairment: A Prospective Community StudyR01AG023651 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GANGULI, MARY · 2005 to 2020
$27.1M
Mild Cognitive Impairment: A Prospective Community StudyR37AG023651 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Carmen Andreescu, MARY GANGULI · 2021 to 2026
$18.2M
A global epidemiology of cognitive impairment and dementia due to Alzheimer's disease and related disorders: the COSMIC CollaborationR01AG057531 · NIA · UNIVERSITY OF NEW SOUTH WALES · PI Perminder S SACHDEV · 2023 to 2026
$5.9M
Pilot CoreP30AG022838 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BALL, KARLENE K · 2003 to 2020
$5.7M
COSMIC: An international consortium to identify risk and protective factors and biomarkers of cognitive ageing and dementia in diverse ethno-racial groups and geographical settingsRF1AG057531 · NIA · UNIVERSITY OF NEW SOUTH WALES · PI SACHDEV, PERMINDER S · 2017 to 2020
$2.9M
Cognitive Aging in a Population-Based Sample of Older Adults in Puerto RicoR21AG045722 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CROWE, MICHAEL GABRIEL · 2015 to 2016
$439k
Medical Research Council MC_UU_00019/3NIA NIH HHS P30 AG022838NIA NIH HHS R01 AG017644NIA NIH HHS R01 AG023651NIA NIH HHS R01 AG057531NIA NIH HHS R21 AG045722NIA NIH HHS R37 AG023651NIA NIH HHS RF1 AG057531
6 · The paper itself

Abstract

backgroundPoor social connections (eg, small networks, infrequent interactions, and loneliness) are modifiable risk factors for cognitive decline. Existing meta-analyses are limited by reporting aggregate responses, a focus on global cognition, and combining social measures into single constructs. We aimed to investigate the association between social connection markers and the rate of annual change in cognition (ie, global and domain-specific), as well as sex differences, using an individual participant data meta-analysis.

methodsWe harmonised data from 13 longitudinal cohort studies of ageing in North America, South America, Europe, Africa, Asia, and Australia. Studies were eligible for inclusion if they had baseline data for social connection markers and at least two waves of cognitive scores. Follow-up periods ranged from 0 years to 15 years across cohorts. We included participants with cognitive data for at least two waves and social connection data for at least one wave. We then identified and excluded people with dementia at baseline. Primary outcomes were annual rates of change in global cognition and cognitive domain scores over time until final follow-up within each cohort study analysed by use of an individual participant data meta-analysis. Linear mixed models within cohorts used baseline social connection markers as predictors of the primary outcomes. Effects were pooled in two stages using random-effects meta-analyses. We assessed the primary outcomes in the main (partially adjusted) and fully adjusted models. Partially adjusted models controlled for age, sex, and education; fully adjusted models additionally controlled for diabetes, hypertension, smoking, cardiovascular risk, and depression.

findingsOf the 40 006 participants in the 13 cohort studies, we excluded 1392 people with dementia at baseline. 38 614 individual participants were included in our analyses. For the main models, being in a relationship or married predicted slower global cognitive decline (b=0·010, 95% CI 0·000-0·019) than did being single or never married; living with others predicted slower global cognitive (b=0·007, 0·002-0·012), memory (b=0·017, 0·006-0·028), and language (b=0·008, 0·000-0·015) decline than did living alone; and weekly interactions with family and friends (b=0·016, 0·006-0·026) and weekly community group engagement (b=0·030, 0·007-0·052) predicted slower memory decline than did no interactions and no engagement. Never feeling lonely predicted slower global cognitive (b=0·047, 95% CI 0·018-0·075) and executive function (b=0·047, 0·017-0·077) decline than did often feeling lonely. Degree of social support, having a confidante, and relationship satisfaction did not predict cognitive decline across global cognition or cognitive domains. Heterogeneity was low (I

interpretationGood social connections (ie, living with others, weekly community group engagement, interacting weekly with family and friends, and never feeling lonely) are associated with slower cognitive decline.

fundingEU Joint Programme-Neurodegenerative Disease Research grant, funded by the National Health and Medical Research Council Australia, and the US National Institute on Aging of the US National Institutes of Health.

Indexed as

DementiaNeurodegenerative DiseasesCognitionCohort StudiesFemaleHumansLongitudinal StudiesMaleMemory DisordersUnited States

Identifiers

PMID36273484
PMCPMC9750173

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.