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Cited by 185

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Social Network Resources and Management of Hypertension

Open access
Cornwell, Erin York, Waite, Linda J.·2012·Journal of Health and Social Behavior

Abstract

Hypertension is one of the most prevalent chronic diseases among older adults, but rates of blood pressure control are low. In this article, we explore the role of social network ties and network-based resources (e.g., information and support) in hypertension diagnosis and management. We use data from the National Social Life, Health, and Aging Project to identify older adults with undiagnosed or uncontrolled hypertension. We find that network characteristics and emotional support are associated with hypertension diagnosis and control. Importantly, the risks of undiagnosed and uncontrolled hypertension are lower among those with larger social networks—if they discuss health issues with their network members. When these lines of communication are closed, network size is associated with greater risk for undiagnosed and uncontrolled hypertension. Health care utilization partially mediates associations with diagnosis, but the benefits of network resources for hypertension control do not seem to stem from health-related behaviors.

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Crossref · 10.1177/0022146512446832

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Metadata

Authors
Cornwell, E. Y., & Waite, L. J.
Venue
Journal of Health and Social Behavior
Published
2012-06
Volume
53
Issue
2
Pages
215-231
ISSN
  • 0022-1465 (ISSN-L)
  • 2150-6000
OpenAlex
W2104238555
Cited by
185
References
18
FWCI
11.74
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Social Network Resources and Management of Hypertension. https://app.cochat.ai/papers/10.1177/0022146512446832
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Cornwell, E. Y., & Waite, L. J. (2012). Social Network Resources and Management of Hypertension. Journal of Health and Social Behavior. https://doi.org/10.1177/0022146512446832

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.