The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Social Networks in the NSHAP Study: Rationale, Measurement, and Preliminary Findings
Open accessAbstract
OBJECTIVES: This paper describes the rationale behind the National Social Life, Health, and Aging Project's (NSHAP) social networks module, data collection procedures, and the measurement of several egocentric network properties. This includes a discussion of network size, composition, volume of contact with network members, density, and bridging potential. Data on the extent to which older adults involve network members in personal health matters are also discussed. METHODS: Descriptive statistics are presented for key network measures. Sociodemographic distributions of these measures are presented. Older adults' likelihood of discussing health with network members is also broken down by network member characteristics. RESULTS: Older adults tended to have large, kin-centered, dense networks, with some bridging potential. Network characteristics were related to age, gender, race/ethnicity, education, and health. Older adults tended to be very likely to involve network members (especially close ties) in health discussions and medical decision making. DISCUSSION: The data reiterate the relevance of social networks to older adults' health. We close by discussing how the NSHAP measures might be employed in future analyses of health.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
Structural Holes: The Social Structure of Competition
Lazega, E., & Burt, R. S. (1995) · Revue Française de Sociologie · doi:10.2307/3322456 · Cited by 7,853
Social Relationships and Health
House, J. S., Landis, K. R., & Umberson, D. (1988) · Science · doi:10.1126/science.3399889 · Cited by 7,073
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
Kahn, R. L. (1998) · Cited by 4,295
Stress, Coping, and Social Support Processes: Where Are We? What Next?
Thoits, P. A. (1995) · Journal of Health and Social Behavior · doi:10.2307/2626957 · Cited by 3,496 · cited 1×
“These benefi ts have been attributed to a range of processes, from the provision of social support to a sense of belonging and self-esteem ( Berkman & Glass, 2000 ; House, Landis, & Umberson, 1988 ; Thoits, 1995 ).”
BackgroundMarsden, P. V. (1990) · Annual Review of Sociology · doi:10.1146/annurev.so.16.080190.002251 · Cited by 2,176
Different Strokes from Different Folks: Community Ties and Social Support
Wellman, B., & Wortley, S. (1990) · American Journal of Sociology · doi:10.1086/229572 · Cited by 2,034
Core Discussion Networks of Americans
Marsden, P. V. (1987) · American Sociological Review · doi:10.2307/2095397 · Cited by 1,921
Brokerage and Closure: An Introduction to Social Capital
Burt, R. S. (2005) · Cited by 1,856
Cited by
The Epidemiology of Social Isolation: National Health and Aging Trends Study
Cudjoe, T. K. M., Roth, D. L., Szanton, S. L., Wolff, J. L., Boyd, C. M., & Thorpe, R. J. (2020) · The Journals of Gerontology: Series B · doi:10.1093/geronb/gby037 · Cited by 697
Perkins, J. M., Subramanian, S. V., & Christakis, N. A. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2014.08.019 · Cited by 295
McClintock, M. K., Dale, W., Laumann, E. O., & Waite, L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1514968113 · Cited by 132
Self-citationSocial relationships and oral health among adults aged 60 years or older
Tsakos, G., Sabbah, W., Chandola, T., Newton, T., Kawachi, I., Aida, J., Sheiham, A., Marmot, M. G., & Watt, R. G. (2013) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31827d221b · Cited by 95
Pan, X., & Chee, K. H. (2020) · Aging & Mental Health · doi:10.1080/13607863.2019.1597015 · Cited by 92
Metadata
- Authors
- Cornwell, B., Schumm, L. P., Laumann, E. O., & Graber, J.
- Venue
- The Journals of Gerontology Series B: Psychological Sciences and Social Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-06-05
- Volume
- 64B
- Issue
- Supplement 1
- Pages
- i47-i55
- ISSN
- 1079-5014 (ISSN-L)
- 1758-5368
- OpenAlex
- W2128208072
- Cited by
- 320
- References
- 46
- FWCI
- 7.60
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Social Networks in the NSHAP Study: Rationale, Measurement, and Preliminary Findings. https://app.cochat.ai/papers/10.1093/geronb/gbp042
- The paper
- Cornwell, B., Schumm, L. P., Laumann, E. O., & Graber, J. (2009). Social Networks in the NSHAP Study: Rationale, Measurement, and Preliminary Findings. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. https://doi.org/10.1093/geronb/gbp042
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
