Online groups and communities may improve the well-being of breast cancer survivors by providing opportunities to engage with wider social networks, connect with others navigating similar cancer experiences, and obtain cancer-related information. Researchers should consider the potential role of social media in addressing the unmet needs of breast cancer survivors, and particularly the implications for clinical and public health practice.

Background: Findings from previous population-based studies are in conflict regarding the relative use of tobacco products among transgender populations compared with their cisgender counterparts. The purpose of this study was to estimate the prevalence of current tobacco use among transgender persons in the United States and evaluate differences in relative use between transgender and cisgender respondents. Methods: This was a secondary analysis of data from the Population Assessment of Tobacco and Health (PATH) Study Wave 2 (October 2014 and October 2015). Differences in current use of cigarettes, e-cigarettes, and cigars were examined between self-identified transgender (n = 151) and cisgender (n = 27 557) respondents. Results: In multivariable analyses, transgender identity was not associated with any of the 3 tobacco behaviors or the summary measure of tobacco use (ie, any current use of cigarettes, e-cigarettes, or cigars). In each of the models, female binary sex (compared with male), older age, Hispanic ethnicity (compared with non-Hispanic white), higher household income, and higher educational attainment were independently associated with lower odds of current use of cigarettes, e-cigarettes, or cigars, whereas sexual minority identity (ie, gay/lesbian or bisexual) was independently associated with higher odds of use. Conclusions: The prevalence of the use of cigarettes, e-cigarettes, and cigar use was statistically equivalent between transgender and cisgender populations in this national study of adults in the United States, which differs from previous research showing higher rates of tobacco use among transgender individuals. Differences in tobacco use that were identified were fully explained by sociodemographic characteristics (eg, income and education) between the transgender and cisgender populations.

The rapid growth of smartphone ownership and broadband access has created new opportunities to reach smokers with cessation information and support using digital technologies. These technologies can both complement and be integrated with traditional support modalities such as telephone quitlines and 1-on-1 clinical cessation counseling. The National Cancer Institute's Smokefree.gov Initiative provides free, evidence-based cessation support to the public through a multimodal suite of digital interventions, including several mobile-optimized websites, text messaging programs, and 2 mobile applications. In addition to digital resources directed at the general population, the Smokefree.gov Initiative includes population-specific resources targeted to adolescents, women, military veterans, Spanish speakers, older adults, and other populations. This paper describes the reach and use of the Smokefree.gov Initiative's resources over a 5-year period between 2014 and 2018, including how users interact with the program's digital content in ways that facilitate engagement with live counseling support. Use of Smokefree.gov Initiative resources has grown steadily over time; in 2018 alone, approximately 7−8 million people accessed Smokefree.gov Initiative weband mobile-based resources. Smokefree.gov Initiative utilization data show that people take advantage of the full range of technology tools and options offered as part of the Smokefree.gov Initiative's multiplatform intervention. The Smokefree.gov Initiative experience suggests that offering different, complementary technology options to meet the needs and preferences of smokers has the potential to meaningfully expand the reach of cessation treatment.

The current study enabled us to investigate differing engagement patterns in non-incentivized program participants, which can help inform program modifications in real-world settings. Lack of engagement and dropout continue to impede the potential effectiveness of mHealth interventions, and understanding patterns and predictors of engagement can enhance the impact of these programs.