Suchergebnisse

For this case study, we will focus on our quantitative analysis of a longitudinal dataset consisting of 598 emerging adult gay and bisexual men looking at how romantic relationship beliefs are associated with changes in condomless anal sex. Our aim in this case is to discuss the application of longitudinal modeling techniques for count data. Several considerations arise when analyzing longitudinal data for count-dependent variables. Typically, count-dependent variables are modeled using applications of Poisson regression. However, many times, behavioral outcomes exhibit greater variability than what would be predicted by the Poisson distribution (i.e., there are an excess number of "zeroes" in the data.) Thus, this case aims to describe the application of an applied generalized linear growth mixture model technique using Poisson regression to an analysis of sexual risk behavior among a cohort of young sexual minority men. We first discuss the background relating to sexual risk behavior. We then detail the process, challenges, and lessons learned in terms of performing zero-inflated Poisson growth models.

Emerging adults (EAs) aged 18–24 account for a large proportion of all sexually transmitted infections (STIs), HIV infections, and unintended pregnancies in the United States. Given the increased influence of online media on decision making, we examined how EA online networks were associated with sexual risk behaviors. We used egocentric network data collected from EAs aged 18–24 years old across the United States ( N = 1,687) to examine how online social norms (e.g., acceptance of HIV infections, other STIs, and pregnancy) and network characteristics (i.e., network size and density; ties' closeness, race, age, and sex similarities) were associated with participants' unprotected vaginal intercourse in the last 30 days. Findings suggested that in male EAs, there was a strong association between online social norms, structural characteristics, and sexual risk behavior compared to females. Researchers and practitioners may wish to address online peer norms and EAs' online network composition when developing online sexual risk prevention tools.

Given the high morbidity and mortality among children in low- and middle-income countries as a result of preventable causes, the U.S. government and the United Nations Children's Fund convened an Evidence Summit on Enhancing Child Survival and Development in Lower- and Middle-Income Countries by Achieving Population-Level Behavior Change on June 3–4, 2013, in Washington, D.C. This article summarizes evidence for technological advances associated with population-level behavior changes necessary to advance child survival and healthy development in children under 5 years of age in low- and middle-income countries. After a rigorous evidence selection process, the authors assessed science, technology, and innovation papers that used mHealth, social/transmedia, multiplatform media, health literacy, and devices for behavior changes supporting child survival and development. Because of an insufficient number of studies on health literacy and devices that supported causal attribution of interventions to outcomes, the review focused on mHealth, social/transmedia, and multiplatform media. Overall, this review found that some mHealth interventions have sufficient evidence to make topic-specific recommendations for broader implementation, scaling, and next research steps (e.g., adherence to HIV/AIDS antiretroviral therapy, uptake and demand of maternal health service, and compliance with malaria treatment guidelines). While some media evidence demonstrates effectiveness in changing cognitive abilities, knowledge, and attitudes, evidence is minimal on behavioral endpoints linked to child survival. Population level behavior change is necessary to end preventable child deaths. Donors and low- and middle-income countries are encouraged to implement recommendations for informing practice, policy, and research decisions to fully maximize the impact potential of mHealth and multimedia for child survival and development.