Author's Keywords: African-Americans, social networks, health care, health	Convention All Academic Convention makes running your annual conference simple and cost effective. It is your online solution for abstract management, peer review, and scheduling for your annual meeting or convention. Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! Click here for more information.
Association: Name: American Sociological Association URL: http://www.asanet.org
Citation: URL: http://www.allacademic.com/meta/p105199_index.html Direct Link: HTML Code:

Morey, Ophelia. "Poster 33. Exploring Health Information Relationships and Boundaries: Telephone Survey Results of an African-American Community" Paper presented at the annual meeting of the American Sociological Association, Montreal Convention Center, Montreal, Quebec, Canada, Aug 11, 2006 <Not Available>. 2009-05-25 <http://www.allacademic.com/meta/p105199_index.html>

Morey, O. T. , 2006-08-11 "Poster 33. Exploring Health Information Relationships and Boundaries: Telephone Survey Results of an African-American Community" Paper presented at the annual meeting of the American Sociological Association, Montreal Convention Center, Montreal, Quebec, Canada Online <PDF>. 2009-05-25 from http://www.allacademic.com/meta/p105199_index.html

Publication Type: Poster Abstract: The purpose of this research poster is to present preliminary findings for a telephone survey. The goal of the survey was to explore consumer health information (CHI) seeking behavior using Mark Granovetter�s (1973, 1983) strength of weak ties theory as the conceptual framework. The target population was African-Americans, ages 18-74 that live on the eastside of Buffalo, NY. There have been very few theory-based studies addressing consumer health information seeking behavior, especially as it pertains to minority populations. Wilson (2000) defined information seeking behavior as the purposive seeking for information because of a need to satisfy some goal. In order to better understand CHI seeking behavior it was proposed that the strength of weak ties, a social network theory, can explain and possibly predict CHI seeking behavior (Baker and Pettigrew, 1999). In addition, Haythornthwaite (1996) observes that information is an important resource, one that depends on making and maintaining contact with the right people. This focus on patterns of relationships makes the social network approach applicable for studying information access. Interviewers asked 216 respondents questions to determine where individuals go to seek CHI and to explore the �closeness� of tie relationships if the respondent sought CHI from an individual and/or if the information seeking was for someone else. I will present these findings as related to age, sex, employment status, household income, health status and insurance, education level and Internet access. Poster Outline: Introduction Theoretical Framework Research Questions Methodology Findings Implications Future Research/Research Questions References and Acknowledgments (if space allows)

African Americans� and White Americans� Understanding of the Relationship between Religion and Health Behaviors

Worried and Wired: Moderating Effects of Health Anxiety on Health Information Seeking, Discussion and Behavior

Comparing Internet Research Design Methods (IRDM) for American Rural Populations with Telephone Survey Method