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310001
Social network characteristics and perceived social support in middle aged and older adult residents of Appalachian Ohio and Kentucky
Tuesday, November 18, 2014
: 11:00 AM - 11:15 AM
Adam Jonas, MA
,
Gatton College of Business and Economics, University of Kentucky
Claire Snell-Rood, PhD
,
Department of Behavioral Science, University of Kentucky
Mira Katz, PhD
,
College of Public Health, The Ohio State University, Columbus, OH
Nancy Schoenberg, PhD
,
Dept. of Behavioral Sciences,University of Kentucky, Lexington, KY
Social networks impact health in multiple ways, including the provision of social support. While social support is associated with greater well-being and lower mortality, some tightly-knit networks can be detrimental to health when poor norms and behaviors are shared or network ties are a drain on a network member. Social networks are perceived as a powerful influence in Appalachian culture, but few studies have examined the structure of social networks and social support among this population. This study investigates network configurations in relation to social support in a sample of 138 adult residents of Appalachian Ohio and Kentucky (mean age 50 years). Interviewers collected network data from each participant (ego) and information about up to 9 members of their network (alters), as well as perceived social support (PSS) using the MOS social support scale, demographics, and other characteristics. In a linear model of network characteristics controlling for basic demographics, network size significantly predicts lower PSS, with each network member decreasing total PSS by 1.58 (95% CI: -2.87, -0.29). Each alter with some college or more increased PSS by 1.35 (95%CI: 0.21, 2.48) and greater mean closeness to alters in the network (B=3.46, 95%CI: 0.44, 6.48) significantly increased perceived social support. Network density, or how interconnected the network is, was not a significant predictor of social support. Additional analyses will explore the negative relationship of network size and social support. Understanding how social support perception is shaped by network size and structure can improve the design of community-based health interventions.
Learning Areas:
Assessment of individual and community needs for health education
Planning of health education strategies, interventions, and programs
Public health or related research
Social and behavioral sciences
Systems thinking models (conceptual and theoretical models), applications related to public health
Learning Objectives:
Describe the impact of social network structure on perceived social support in Appalachian adults
Keyword(s): Underserved Populations, Network Analysis
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I am qualified to the be the author on the abstract because I am a partner in data analysis and publication on this project. I have experience in analyzing social networks and the impact of networks on health.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.