ArticleSocial networks2021
Network recall among older adults with cognitive impairments.
Article in Social networks, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Social Connectedness of Older Adults During the COVID-19 Pandemic: Evidence by Survey Mode and Respondent Dementia.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- The structure of social support: a multilevel analysis of the personal networks of people with severe mental disorders.BMC psychiatry · 2022Article
- Social Networks and Cognitive Reserve: Network Structure Moderates the Association Between Amygdalar Volume and Cognitive Outcomes.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022Article
- Why the cognitive "fountain of youth" may be upstream: Pathways to dementia risk and resilience through social connectedness.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022Article
- Cognitively stimulating environments and cognitive reserve: the case of personal social networks.Neurobiology of aging · 2022Article
- Social Cognitive Abilities Predict Unique Aspects of Older Adults' Personal Social Networks.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022Article
- Do subjective or objective cognitive measures better predict social network type among older adults?Biodemography and social biologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Although it is widely accepted that personal networks influence health and illness, network recall remains a major concern. This concern is heightened when studying a population that is vulnerable to cognitive decline. Given these issues, we use data from the Social Network in Alzheimer Disease project to explore similarities and discrepancies between the network perceptions of focal participants and study partners. By leveraging data on a sample of older adults with normal cognition, mild cognitive impairment, and early stage dementia, we explore how cognitive impairment influences older adults' perceptions of their personal networks. We find that the average individual is more likely to omit weaker, peripheral ties from their self-reported networks than stronger, central ties. Despite observing only moderate levels of focal-partner corroboration across our sample, we find minimal evidence of perceptual differences across diagnostic groups. We offer two broad conclusions. First, self-reported network data, though imperfect, offer a reasonable account of the core people in one's life. Second, our findings assuage concerns that cognitively impaired older adults have skewed perceptions of their personal networks.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.