Abstract

Abstract Purpose: Low breast cancer screening participation and adherence to guidelines is problematic. Our prior work found that on average 18% of women from four tribes adhered to Indian Health Service (IHS) mammographic screening guidelines over five years (study funded by Native American Research Centers for Health (NARCH IV). We sought to identify how adherent (persistent) and non-adherent (sporadic) screeners may differ by demographic and theoretical mediators that have successfully guided interventions in other health disparities populations. As part of planning interventions to increase AI/AN women's persistent screening, we characterized differences in persistent and sporadic screeners' responses to Social Norms and Health Beliefs in the context of social networks. Methods: From 2013-2014, we interviewed 55 recruited women (41 sporadic screeners and 14 persistent screeners) who had been randomly assigned unique identifiers. Data from interviews included demographic characteristics, assessments of health literacy, and social relationships from theoretical perspectives of: Theory of Planned Behavior, Social Support, Social Norms, Health Beliefs, and Social Networks. In this study, we examined areas that distinguished persistent from sporadic screeners—social norms and health beliefs--and we conceptualized the make-up of screeners' social networks to consider members by their generational status relative to the screener. We coded and categorized data; Fisher's Exact Test and Kruskal-Wallis Test were applied as appropriate. Results: We identified three mediators with four significant differences. 1. Social Norms: (A) Persistent screeners were significantly more likely to believe reservation women favored getting an annual mammogram while sporadic screeners were more likely to believe women were against getting annual mammograms (P = 0.03). Responses are consistent with Social Norms theory, but screeners' beliefs about friends' screening participation appear less consistent with the theory. (B) Persistent screeners by a large proportion believed friends obtained fewer mammograms than themselves while sporadic screeners had no prevailing view (P = 0.02). 2. Health Beliefs (susceptibility to breast cancer): (C) While sporadic screeners expressed considerable uncertainty about their susceptibility, persistent screeners expressed no uncertainty (P = 0.02). 3. Social Networks: (D) Examination of the generational membership of screeners' Social Networks showed that sporadic screeners' networks had significantly more members from generations younger than themselves compared to persistent screeners' networks ( P = 0.01). Conclusions: Screeners with younger social networks may in part be influenced to be sporadic screeners because they do not benefit from exposure to more mature and experienced individuals in their social networks. The excess of younger generation members in sporadic screeners' networks may expose them generally to people who do not screen (or have limited screening experience) due to age. This exposure would confirm for them that reservation women generally do not favor screening and would explain their mixed view of friends' screening behavior. The younger membership of sporadic screeners' networks also may explain why this group would express substantial uncertainty about their own susceptibility to breast cancer relative to other women. If the network is not of an age where breast cancer and screening are pertinent topics, screeners may not have a knowledgebase (accurate or not) from which to build their views. We anticipate further testing to ascertain the role of social networks in the views and behaviors of sporadic and persistent screeners before considering any interventions. Citation Format: Corinna Sabaque, Ann M. Nicometo, Robert Vierkant, Wesley O. Petersen. Do generational cohort differences in social networks influence persistent and sporadic screeners' perceptions of breast cancer screening? [abstract]. In: Proceedings of the Seventh AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 9-12, 2014; San Antonio, TX. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2015;24(10 Suppl):Abstract nr B73.

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