2010
DOI: 10.1007/s10461-010-9801-1
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Modeling Structural, Dyadic, and Individual Factors: The Inclusion and Exclusion Model of HIV Related Behavior

Abstract: Changing HIV-related behaviors requires addressing the individual, dyadic, and structural influences that shape them. This supplement of AIDS & Behavior presents frameworks that integrate these three influences on behavior. Concepts from these frameworks were selected to model the processes by which structural factors affect individual HIV-related behavior. In the Inclusion/Exclusion Model, material and symbolic inclusions and exclusions (sharing versus denying resources) regulate individuals’ ability and moti… Show more

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Cited by 21 publications
(21 citation statements)
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“…Of course, the pattern of our results needs to be replicated in other studies with other designs before such a general conclusion that IMB factors are less protective in high risk situations. Little research has been conducted so far on the interplay of multiple levels of influence (i.e., individual, situational, dyadic) on HIV risk behaviors, but such studies have recently been called for to advance the science of HIV 88 and would increase understanding of the interplay of situational and social-cognitive factors.…”
Section: Discussionmentioning
confidence: 99%
“…Of course, the pattern of our results needs to be replicated in other studies with other designs before such a general conclusion that IMB factors are less protective in high risk situations. Little research has been conducted so far on the interplay of multiple levels of influence (i.e., individual, situational, dyadic) on HIV risk behaviors, but such studies have recently been called for to advance the science of HIV 88 and would increase understanding of the interplay of situational and social-cognitive factors.…”
Section: Discussionmentioning
confidence: 99%
“…[8][9][10] As power dynamics within relationships influence HIV risk behavior, the member of the couple with the greatest power may more directly influence dyadic decisionmaking and thereby encourage either safe or risky behaviors. 11 Building on previous women-focused research in the US 12 and Zambia, 13 an evidence-based HIV prevention model for couples was developed and pilot tested in the Zambian context. 14 The subsequent study was designed to reduce sexual risk behavior among urban, Zambian HIV-seroconcordant positive and -serodiscordant couples and compared 'intervention modalities' to assess whether the HIV risk-reduction intervention would be more likely to increase condom acceptability and decrease risk behavior when delivered to couples in a gender-concordant group or individual format.…”
Section: Introductionmentioning
confidence: 99%
“…These findings imply that efforts to prevent HIV transmission must incorporate the impact of social networks. Social networks can, therefore, play a dual role in HIV transmission: they serve as both the routes of transmission for the virus and the routes of dissemination for information related to HIV prevention and treatment services (32, 33). …”
Section: Introductionmentioning
confidence: 99%