Work

Testing theoretical network classes and HIV-related correlates with latent class analysis

Year: 2011

Type: article

Abstract: Scientists designing network-based interventions intending to improve the adoption or maintenance of healthy behaviors are well-advised to classify potential adopters into network roles, such as opinion leaders, brokers, members, and isolates, and to work closely with existing opinion leaders. In past studies focusing on HIV, opinion-leader interventions have had mixed results. This may be addressed, in part, by empirically validating these network roles. To this end, we used latent class analysis to test whether people's social connections fall into mutually exclusive and exhaustive subgroups of social capital that represent theorized network roles well with a dataset collected in Nyangana, Namibia (n = 400). A four-class model best fits the dataset, but the categories identified do not clearly represent the theorized roles. Rather, this study revealed the following four network classes: single-group members (59%), connectors (24%), single-group loyalists (15%), and selective connectors (2%). The implications of their findings for opinion-leader interventions focused on HIV are discussed.

Source: AIDS Care

DOI: 10.1080/09540121.2011.555747

Authors: Rachel A. Smith, Stephanie T. Lanza

Institution: Pennsylvania State University

Language: English

Topic: HIV/AIDS Research and Interventions

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: United States Agency for International Development, National Institutes of Health, Johns Hopkins Bloomberg School of Public Health, National Institute on Drug Abuse