ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2021
Tracking Egocentric Social Network Change Across Three Rounds of National Survey Data.
Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Social network intervention to improve blood pressure control after stroke: The TEAMS-BP randomized clinical trial.Social science & medicine (1982) · 2025Trial
- The gears in network dynamics: The alter-trajectory approach.Social networks · 2026Article
- Social Network Types and Self-Rated Health Among Diverse Older Adults: Stability, Transitions, and Implications for Health Equity.Innovation in aging · 2025Article
- Loneliness and Expanding Social Ties in Later Life: Motivation, Perceived Success, and Implications for Emotional Health.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024Article
- Associations between trajectories of social participation and functional ability among older adults: Results from the China Health and Retirement Longitudinal Study.Frontiers in public health · 2022Article
- Detecting Risk of Neglect in NSHAP Round 3 Using New Follow-Up Questions to Activities of Daily Living Measures.The journals of gerontology. Series B, Psychological sciences and social sciences · 2021Article
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.
Funding
Abstract
backgroundThe National Social Life, Health, and Aging Project (NSHAP) has collected 3 rounds of data on older adults' egocentric social networks. We describe the structure of network data collection for different components of the sample and the data that are available for those groups. We also describe survey techniques that were used to track specific personnel changes that occurred within respondents' networks during the 10-year study period.
methodDescriptive statistics are presented for measures of network size, composition, and internal structure at all 3 rounds, respondent-level summary measures of change in these characteristics between and across rounds, and measures of change associated with the loss and addition of network members across Rounds 1, 2, and 3. Procedures that were used to clean the network change data are also explained.
resultsThe NSHAP network change module provides reliable information about specific changes that occurred within respondents' confidant networks. For returning baseline respondents, there is considerable overlap with respect to which confidants are named in successive rosters, but the norm is for Round 3 networks to be composed primarily of new confidants. DISCUSSION: These data provide new insights into the dynamic nature of networks in later life. Data limitations, and directions for future research, are discussed.
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.