Transactional sex is associated with increased risk of HIV and gender based violence in southern Africa and around the world. However the typical quantitative operationalization, "the exchange of gifts or money for sex," can be at odds with a wide array of relationship types and motivations described in qualitative explorations. To build on the strengths of both qualitative and quantitative research streams, we used cultural consensus models to identify distinct models of transactional sex in Swaziland. The process allowed us to build and validate emic scales of transactional sex, while identifying key informants for qualitative interviews within each model to contextualize women's experiences and risk perceptions. We used logistic and multinomial logistic regression models to measure associations with condom use and social status outcomes. Fieldwork was conducted between November 2013 and December 2014 in the Hhohho and Manzini regions. We identified three distinct models of transactional sex in Swaziland based on 124 Swazi women's emic valuation of what they hoped to receive in exchange for sex with their partners. In a clinic-based survey (n = 406), consensus model scales were more sensitive to condom use than the etic definition. Model consonance had distinct effects on social status for the three different models. Transactional sex is better measured as an emic spectrum of expectations within a relationship, rather than an etic binary relationship type. Cultural consensus models allowed us to blend qualitative and quantitative approaches to create an emicly valid quantitative scale grounded in qualitative context.
by
Erica C. Leifheit-Limson;
Kimberly J. Reid;
Stanislav V. Kasl;
Haiqun Lin;
Donna M. Buchanan;
Philip G. Jones;
Pamela N. Peterson;
Susmita Parashar;
John A. Spertus;
Judith H. Lichtman
Objective: To examine changes in social support during early recovery after acute myocardial infarction (AMI) and determine whether these changes influence outcomes within the first year. Methods: Among 1951 AMI patients enrolled in a 19-center prospective study, we examined changes in social support between baseline (index hospitalization) and 1. month post-AMI to longitudinally assess their association with health status and depressive symptoms within the first year. We further examined whether 1-month support predicted outcomes independent of baseline support. Hierarchical repeated-measures regression evaluated associations, adjusting for site, baseline outcome level, baseline depressive symptoms, sociodemographic characteristics, and clinical factors. Results: During the first month of recovery, 5.6% of patients had persistently low support, 6.4% had worsened support, 8.1% had improved support, and 80.0% had persistently high support. In risk-adjusted analyses, patients with worsened support (vs. persistently high) had greater risk of angina (relative risk=1.46), lower disease-specific quality of life (β=7.44), lower general mental functioning (β=4.82), and more depressive symptoms (β=1.94) (all p≤.01). Conversely, patients with improved support (vs. persistently low) had better outcomes, including higher disease-specific quality of life (β=6.78), higher general mental functioning (β=4.09), and fewer depressive symptoms (β=1.48) (all p≤.002). In separate analyses, low support at 1. month was significantly associated with poorer outcomes, independent of baseline support level (all p≤.002). Conclusion: Changes in social support during early AMI recovery were not uncommon and were important for predicting outcomes. Intervening on low support during early recovery may provide a means of improving outcomes.