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Cited by 247Health disparities and outcomesCardiac Health and Mental HealthAdipokines, Inflammation, and Metabolic Diseases

The DOI matches its Crossref record; 21 of the 22 references it cites were found in a registry or an index.

SOCIAL NETWORKS AND INFLAMMATORY MARKERS IN THE FRAMINGHAM HEART STUDY

LOUCKS, ERIC B., SULLIVAN, LISA M., D’AGOSTINO Sr, RALPH B., LARSON, MARTIN G., BERKMAN, LISA F., BENJAMIN, EMELIA J.·2006·Journal of Biosocial Science
DOI 10.1017/s0021932005001203
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Abstract

Lack of social integration predicts coronary heart disease mortality in prospective studies; however, the biological pathways that may be responsible are poorly understood. The specific aims of this study were to examine whether social networks are associated with serum concentrations of the inflammatory markers interleukin-6 (IL-6), C-reactive protein (CRP), soluble intercellular adhesion molecule-1 (sICAM-1) and monocyte chemoattractant protein-1 (MCP-1). Participants in the Framingham Study attending examinations from 1998 to 2001 ( n =3267) were eligible for inclusion in the study. Social networks were assessed using the Berkman–Syme Social Network Index (SNI). Concentrations of IL-6, CRP, sICAM-1 and MCP-1 were measured in fasting serum samples. Multivariable linear regression analyses were used to assess the association of social networks with inflammatory markers adjusting for potential confounders including age, smoking, blood pressure, total:HDL cholesterol ratio, body mass index, lipid-lowering and antihypertensive medication, diabetes, cardiovascular disease, depression and socioeconomic status. Results found that the SNI was significantly inversely associated with IL-6 in men ( p =0·03) after adjusting for potential confounders. In age-adjusted analyses, social networks also were significantly inversely associated with IL-6 for women ( p =0·03) and were marginally to modestly associated with CRP and sICAM-1 for men ( p =0·08 and 0·02, respectively), but these associations were not significant in the multivariate analyses. In conclusion, social networks were found to be inversely associated with interleukin-6 levels in men. The possibility that inflammatory markers may be potential mediators between social integration and coronary heart disease merits further investigation.

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Crossref · 10.1017/s0021932005001203

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Metadata

Authors
LOUCKS, E. B., SULLIVAN, L. M., D’AGOSTINO Sr, R. B., LARSON, M. G., BERKMAN, L. F., & BENJAMIN, E. J.
Affiliations
  • Harvard University (US)
  • Boston University (US)
ORCID
Venue
Journal of Biosocial Science
Publisher
Cambridge University Press (CUP)
Published
2006-01-27
Volume
38
Issue
6
Pages
835-842
ISSN
  • 0021-9320 (ISSN-L)
  • 1469-7599
DOI
10.1017/s0021932005001203
OpenAlex
W2135944282
Cited by
247
References
22
Citations by year
2026: 17 · 2025: 11 · 2024: 7 · 2023: 10 · 2022: 8 · 2021: 66 · 2020: 19 · 2019: 14 · 2018: 13 · 2017: 9 · 2016: 8 · 2015: 7 · 2014: 7 · 2013: 8 · 2012: 10
FWCI
5.02
Type
journal article
Language
en
Open access
closed
Licence
www.cambridge.org/core/terms (unspecified)
Locations
  • Journal of Biosocial Science (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Jiangsu National Synergistic Innovation Center for Advanced Materials
  • National Institutes of Health (n01hc25195-41-0-1)
  • National Heart, Lung, and Blood Institute (N01‐HC25195, R01HL064753, R01HL076784, HL64753, HL76784)
Topics
  • Social Sciences › Health › Health disparities and outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
Keywords
social networks, social integration, inflammatory markers, interleukin-6, C-reactive protein, soluble intercellular adhesion molecule-1, MCP-1, coronary artery disease, sex differences, Framingham Heart Study
MeSH terms
C-Reactive Protein, Coronary Disease, Female, Humans, Inflammation, Interpersonal Relations, Male, Middle Aged, Social Support, United States, Biomarkers, Interleukin-6, Multivariate Analysis, Linear Models, Intercellular Adhesion Molecule-1, Chemokine CCL2

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