Evidence map›Paper›PMID 33153511›Full record

ArticleInternational psychogeriatrics2021

Social network type and subsequent cognitive health among older Europeans.

Ella Cohn-Schwartz, Michal Levinsky, Howard Litwin

Open access · diamondAbstract read
In one paragraph

Article in International psychogeriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.0field-weighted citation impact, top 6% of its field
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

23 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Observational
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  4. Social network structure and composition predicting cognitive impairment: racial/ethnic differences among older adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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  13. Practices of Self-Care in Healthy Old Age: A Field Study.Geriatrics (Basel, Switzerland) · 2023
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  14. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Ella Cohn-SchwartzDepartment of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.ORCID 0000-0001-9623-1820
Michal LevinskyIsrael Gerontological Data Center, Paul Baerwald School of Social Work, The Hebrew University of Jerusalem, Mount Scopus, 91905Jerusalem, Israel.
Howard LitwinIsrael Gerontological Data Center, Paul Baerwald School of Social Work, The Hebrew University of Jerusalem, Mount Scopus, 91905Jerusalem, Israel.
Hebrew University of Jerusalem · ILBen-Gurion University of the Negev · IL

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 KOSALI ILAYPERUMA SIMON · 1986 to 2026
$56.5M
Longitudinal Extension of SHARE-Israel Baseline DataR01AG031729 · NIA · HEBREW UNIVERSITY OF JERUSALEM · PI LITWIN, HOWARD · 2010 to 2018
$2.2M
NIA NIH HHS HHSN271201300071CNIA NIH HHS P01 AG005842NIA NIH HHS R01 AG031729NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

objectivesOne's personal social network constitutes a contextual framing factor for late-life cognitive function. This study examined the association between network type at baseline and changes in three cognitive measures: immediate recall, delayed recall, and fluency, two years hence, among Europeans aged 50 and older.

participantsData were taken from Waves four and five of the Survey of Health, Ageing, and Retirement in Europe of adults aged 50 and above (N = 50,071). MEASUREMENTS: The latent class analysis was applied to a set of criterion variables. The procedure yielded five distinct network types: multi-tie (6%), family-rich (23%), close-family (49%), family-poor (12%), and friend-enhanced (10%). The network types were then regressed on the cognition measures at follow-up, controlling for the respective baseline cognition scores, as well as for age, gender, education, self-rated health, mobility difficulty, and country.

resultsRespondents in family-poor network types had poorer cognition scores at follow-up, compared to those in the modal close-family network, while those in multi-tie networks had consistently better scores. The family-rich network and the friend-enhanced network also had a somewhat better cognitive function.

conclusionsHaving varied sources of network ties, e.g. friendship ties and/or several types of family relationships, is beneficial to the cognitive health of older adults over time. Networks based mainly on ties with relatives other than spouse and children, on the other hand, have poorer cognitive outcomes. Older people in this latter group face an increased risk for cognitive decline and should receive assistance in enhancing their interpersonal environments.

Indexed as

Social NetworkingAgedAged, 80 and overAgingCognitionFemaleFriendsHumansMaleMiddle AgedRetirementSocial Supportcognitive functionfamily networksSHAREsocial networksvolunteering

Identifiers

PMID33153511
PMCPMC8099924
OpenAlexW3094896825

What OpenQuestion holds

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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.