Two modeling approaches are commonly used to estimate the associations between neighborhood characteristics and individual-level health outcomes in multilevel studies (subjects within neighborhoods). Random effects models (or mixed models) use maximum likelihood estimation. Population average models typically use a generalized estimating equation (GEE) approach. These methods are used in place of basic regression approaches because the health of residents in the same neighborhood may be correlated, thus violating independence assumptions made by traditional regression procedures. This violation is particularly relevant to estimates of the variability of estimates. Though the literature appears to favor the mixed-model approach, little theoretical guidance has been offered to justify this choice. In this paper, we review the assumptions behind the estimates and inference provided by these 2 approaches. We propose a perspective that treats regression models for what they are in most circumstances: reasonable approximations of some true underlying relationship. We argue in general that mixed models involve unverifiable assumptions on the data-generating distribution, which lead to potentially misleading estimates and biased inference. We conclude that the estimation-equation approach of population average models provides a more useful approximation of the truth.

Emerging out of increased attention to gender equality within HIV and violence prevention programming has been an intensified focus on masculinities. A new generation of health interventions has attempted to shift norms of masculinity to be more gender equitable and has been termed "gender-transformative." We carried out a systematic review of gender-transformative HIV and violence prevention programs with heterosexually-active men in order to assess the efficacy of this programming. After reviewing over 2,500 abstracts in a systematic search, a total of 15 articles matched review criteria. The evidence suggests that gender-transformative interventions can increase protective sexual behaviors, prevent partner violence, modify inequitable attitudes, and reduce STI/HIV, though further trials are warranted, particularly in establishing STI/HIV impacts. In the conclusion, we discuss the promises and limitations of gender-transformative work with men and make suggestions for future research focused on HIV and/or violence prevention.

Afghanistan and Iraq veterans experienced traumas during deployment, and disrupted connections with friends and family. In this context, it is critical to understand the nature of veterans’ transition to civilian life, the challenges navigated, and approaches to reconnection. We investigated these issues in a qualitative study, framed by homecoming theory, that comprised in-depth interviews with 24 veterans. Using an inductive thematic analysis approach, we developed three overarching themes. Military as family explored how many veterans experienced the military environment as a “family” that took care of them and provided structure. Normal is alien encompassed many veterans experiences of disconnection from people at home, lack of support from institutions, lack of structure, and loss of purpose upon return to civilian life. Searching for a new normal included strategies and supports veterans found to reconnect in the face of these challenges. A veteran who had successfully transitioned and provided support and advice as a peer navigator was frequently discussed as a key resource. A minority of respondents—those who were mistreated by the military system, women veterans, and veterans recovering from substance abuse problems—were less able to access peer support. Other reconnection strategies included becoming an ambassador to the military experience, and knowing transition challenges would ease with time. Results were consistent with and are discussed in the context of homecoming theory and social climate theory. Social support is known to be protective for veterans, but our findings add the nuance of substantial obstacles veterans face in locating and accessing support, due to disconnection and unsupportive institutions. Larger scale work is needed to better understand how to foster peer connection, build reconnection with family, and engage the broader community to understand and support veterans; interventions to support reconnection for veterans should be developed.

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