The Relationship of Social Environment, Social Networks, and Health Outcomes in The Seattle Longitudinal Study: Two Analytical Approaches
Abstract
This study examined the relation of social networks and perceived social environment to health outcomes and cost utilization over a 1-year period in a community sample of 387 (173 males, 214 females). Two analytical strategies, a variable-oriented approach and a subject-oriented approach, were used to complement each other: structural equation modeling assessed the direct relationship between social relationships and health, while cluster analysis examined how social relationship patterns were related to health outcomes. Lower levels of perceived social environment were associated with an increased number of hospital visits. For unmarried individuals, increased age was associated with greater medical usage and estimated total health care cost, while low perceived social environment was related to a greater number of doctor visits. Among married individuals, women had more frequent doctor visits, medication usage, estimated outpatient costs, and primary care visits. Married individuals with low levels of social networks had increased total health care costs, outpatient costs, and primary care visits. Cluster analysis was used to group individuals by characteristics of perceived social environment and social networks. Members of the cluster groups with greater health problems were more likely to be isolated, had the least social contact, and had lower levels of education and income. Including subject-oriented approaches is useful in complementing more popular regression methods…
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Interrater reliabilities for medical data were high (Cronbach's α > .90).
“Interrater reliabilities were high (Cronbach’s α > .90; for details, see Bosworth & Schaie, 1997; Hertzog, Schaie, & Gribbin, 1978).”
From Cohort differences in cognitive aging and terminal decline in the Seattle Longitudinal Study. (2011) · cites this paper as Bosworth & Schaie, 1997
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Structural model evaluation and modification: An interval estimation approach
Steiger, J. H. (1990) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2502_4 · Cited by 7,408 · see citing works
Social Relationships and Health
House, J. S., Landis, K. R., & Umberson, D. (1988) · Science · doi:10.1126/science.3399889 · Cited by 7,073 · see citing works
BERKMAN, L. F., & SYME, S. L. (1979) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112674 · Cited by 5,341 · see citing works
HOUSE, J. S., ROBBINS, C., & METZNER, H. L. (1982) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113387 · Cited by 1,381 · see citing works
Fit Indexes, Lagrange Multipliers, Constraint Changes and Incomplete Data in Structural Models
Bentler, P. M. (1990) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2502_3 · Cited by 512 · cited 1× · see citing works
“The Comparative Fit Index (CFI; Bentler, 1990) is a robust measure of comparative fit that corrects some of the shortcomings of the NFL CFI values range from 0 to 1.”
BackgroundSOCIAL NETWORKS, SUPPORT, AND HEALTH: TAKING THE NEXT STEP FORWARD1
BERKMAN, L. F. (1986) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114276 · Cited by 186 · see citing works
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Social Network Types Among Older Adults: A Multidimensional Approach
Fiori, K. L., Smith, J., & Antonucci, T. C. (2007) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/62.6.p322 · Cited by 420 · see citing works
The Seattle longitudinal study: relationship between personality and cognition
Schaie, K. W., Willis, S. L., & Caskie, G. I. L. (2004) · Aging Neuropsychology and Cognition · doi:10.1080/13825580490511134 · Cited by 257 · see citing works
Self-citationCohort differences in cognitive aging and terminal decline in the Seattle Longitudinal Study.
Gerstorf, D., Ram, N., Hoppmann, C., Willis, S. L., & Schaie, K. W. (2011) · Developmental Psychology · doi:10.1037/a0023426 · Cited by 154 · see citing works
Self-citationPoulin, J., Deng, R., Ingersoll, T. S., Witt, H., & Swain, M. (2012) · Journal of Cross-Cultural Gerontology · doi:10.1007/s10823-012-9177-y · Cited by 105 · see citing works
The predictive value of the early maladaptive schemas in social situations in anorexia nervosa
Meneguzzo, P., Collantoni, E., Bonello, E., Busetto, P., Tenconi, E., & Favaro, A. (2020) · European Eating Disorders Review · doi:10.1002/erv.2724 · Cited by 48 · see citing works
- Authors
- Bosworth, H. B., & Schaie, K. W.
- Affiliations
- Duke Medical Center (US)
- Pennsylvania State University (US)
- Corresponding author
- Bosworth, H. B.
- ORCID
- Bosworth, H. B.
- Venue
- The Journals of Gerontology Series B: Psychological Sciences and Social Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-09-01
- Volume
- 52B
- Issue
- 5
- Pages
- P197-P205
- ISSN
- 1079-5014 (ISSN-L)
- 1758-5368
- OpenAlex
- W2127308075
- Cited by
- 151
- References
- 6
- Citations by year
- 2025: 5 · 2023: 6 · 2022: 17 · 2021: 2 · 2020: 4 · 2019: 3 · 2018: 3 · 2017: 3 · 2016: 5 · 2015: 4 · 2014: 4 · 2013: 2 · 2012: 17
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journals of Gerontology Series B (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Public Health Service
- National Institute on Aging (R37AG008055)
- National Institute of Mental Health (T32MH018904, 5 T32 MH191909-08, T32 MH18904-07)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Social Sciences › Psychology › Clinical Psychology › Health and Well-being Studies
- Keywords
- social networks, health outcomes, health care utilization, health care costs, marital status, social isolation, older adults, primary care visits, outpatient costs, medication use
- MeSH terms
- Adult, Aged, Female, Health Status, Hospitalization, Humans, Longitudinal Studies, Male, Middle Aged, Office Visits, Social Environment, Social Support, Health Care Costs
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