Mobile technologies are being used to deliver health behavior interventions. The study aims to determine how health behavior theories are applied to mobile interventions. This is a review of the theoretical basis and interactivity of mobile health behavior interventions. Many of the mobile health behavior interventions reviewed were predominately one way (i.e., mostly data input or informational output), but some have leveraged mobile technologies to provide just-in-time, interactive, and adaptive interventions. Most smoking and weight loss studies reported a theoretical basis for the mobile intervention, but most of the adherence and disease management studies did not. Mobile health behavior intervention development could benefit from greater application of health behavior theories. Current theories, however, appear inadequate to inform mobile intervention development as these interventions become more interactive and adaptive. Dynamic feedback system theories of health behavior can be developed utilizing longitudinal data from mobile devices and control systems engineering models.

In a sample of perinatally HIV-infected (PHIV +) and perinatally HIV-exposed, uninfected (PHEU) adolescents, we examined the co-occurrence of behavioral health risks including mental health problems, onset of sexual and drug use behaviors, and (in PHIV + youth) nonadherence to antiretroviral therapy (ART). Participants, recruited from 2007 to 2010, included 349 youth, ages 10-16 years, enrolled in a cohort study examining the impact of HIV infection and ART. Measures of the above behavioral health risks were administered to participants and primary caregivers. Nearly half the participants met study criteria for at least one behavioral health risk, most frequently, mental health problems (28%), with the onset of sexual activity and substance use each reported by an average of 16%. Among the sexually active, 65% of PHIV + and 50% of PHEU youth reported unprotected sex. For PHIV + youth, 34% reported recent ART nonadherence, of whom 45% had detectable HIV RNA levels. Between 16% (PHIV +) and 11% (PHEU) of youth reported at least two behavioral health risks. Older age, but not HIV status, was associated with having two or more behavioral health risks versus none. Among PHIV + youth, living with a birth mother (versus other caregivers) and detectable viral load were associated with co-occurrence of behavioral health risks. In conclusion, this study suggests that for both PHIV + and PHEU youth, there are multiple behavioral health risks, particularly mental health problems, which should be targeted by service systems that can integrate prevention and treatment efforts.

Mental health problems (MHPs) among children with perinatal HIV infection have been described prior to and during the highly active antiretroviral therapy (HAART) era. Yet child, caregiver and socio-demographic factors associated with MHPs are not fully understood. We examined the prevalence of MHPs among older children and adolescents with perinatal HIV exposure, including both perinatally HIV-infected (PHIV+) and perinatally HIV-exposed but uninfected (PHEU) youth. Our aims were to identify the impact of HIV infection by comparing PHIV+ and PHEU youth and to delineate risk factors associated with MHPs, in order to inform development of appropriate prevention and intervention strategies. Youth and their caregivers were interviewed with the Behavior Assessment System for Children, 2nd edition (BASC-2) to estimate rates of at-risk and clinically significant MHPs, including caregiver-reported behavioral problems and youth-reported emotional problems. The prevalence of MHPs at the time of study entry was calculated for the group overall, as well as by HIV status and by demographic, child health, and caregiver characteristics. Logistic regression models were used to identify factors associated with youth MHPs. Among 416 youth enrolled between March 2007 and July 2009 (295 PHIV+, 121 PHEU), the overall prevalence of MHPs at entry was 29% and greater than expected based on recent national surveys of the general population. MHPs were more likely among PHEU than among PHIV+ children (38% versus 25%, p < 0.01). Factors associated with higher odds of MHPs at p < 0.10 included caregiver characteristics (psychiatric disorder, limit-setting problems, health-related functional limitations) and child characteristics (younger age and lower IQ). These findings suggest that PHEU children are at high risk for MHPs, yet current models of care for these youth may not support early diagnosis and treatment. Family-based prevention and intervention programs for HIV affected youth and their caregivers may minimize long-term consequences of MHPs.

Youth bear a significant proportion of the sexually transmitted infection (STI)/HIV burden in the United States, CDC, 2010. Available at: http://www.cdc.gov/std/stats09/default.htm, with rates of some STIs increasing among youth of color and young men who have sex with men. Technology use among youth also continues to increase. The ubiquitous nature of technology use among youth offers a multitude of opportunities to promote youth sexual health and to prevent disease transmission and unplanned pregnancies. To date, there have been a handful of peer-reviewed articles published regarding the feasibility, acceptability, and effectiveness of using new media and technology for sexual health promotion. Despite recent publications, there is still a real need for high-quality research to understand the impact of different forms of new media use on youth sexual health, as well as to determine the best ways to harness technology to promote safer sex behaviors, both for the short-and long-term. In March 2011, Internet Sexuality Information Services (ISIS), National Institute of Mental Health (NIMH), and the Ford Foundation convened a meeting of scientists and technology experts to discuss how to effectively conduct sexual health promotion research using new forms of technology. The meeting was structured to cover the following topic areas: (i) research-community partnerships, (ii) institutional review board and ethical issues, (iii) theoretical frameworks, (iv) intervention approaches, (v) recruitment methods, and (vi) assessing impact. Presentations included case studies of successful technology-based HIV/STI prevention interventions for youth, which led to broader discussions on how to conduct research in this area. This article summarizes the meeting proceedings, highlights key points, offers recommendations, and outlines future directions.