Early life exposure to fine particulate matter (PM) in air is associated with infant respiratory disease and childhood asthma, but limited epidemiological data exist concerning the impacts of ultrafine particles (UFPs) on the etiology of childhood respiratory disease. Specifically, the role of UFPs in amplifying Th2- and/or Th17-driven inflammation (asthma promotion) or suppressing effector T cells (increased susceptibility to respiratory infection) remains unclear. Using a mouse model of in utero UFP exposure, we determined early immunological responses to house dust mite (HDM) allergen in offspring challenged from 0 to 4 wk of age. Two mice strains were exposed throughout gestation: C57BL/6 (sensitive to oxidative stress) and BALB/C (sensitive to allergen exposure). Offspring exposed to UFPs in utero exhibited reduced inflammatory response to HDM. Compared with filtered air (FA)-exposed/HDM-challenged mice, UFP-exposed offspring had lower white blood cell counts in bronchoalveolar lavage fluid and less pronounced peribronchiolar inflammation in both strains, albeit more apparent in C57BL/6 mice. In the C57BL/6 strain, offspring exposed in utero to FA and challenged with HDM exhibited a robust response in inflammatory cytokines IL-13 and Il-17. In contrast, this response was lost in offspring exposed in utero to UFPs. Circulating IL-10 was significantly up-regulated in C57BL/6 offspring exposed to UFPs, suggesting increased regulatory T cell expression and suppressed Th2/Th17 response. Our results reveal that in utero UFP exposure at a level close to the WHO recommended PM guideline suppresses an early immune response to HDM allergen, likely predisposing neonates to respiratory infection and altering long-term pulmonary health.

BackgroundThousands of mobile health apps are now available for use on mobile phones for a variety of uses and conditions, including cancer survivorship. Many of these apps appear to deliver health behavior interventions but may fail to consider design considerations based in human computer interface and health behavior change theories.ObjectiveThis study is designed to assess the presence of and manner in which health behavior change and health communication theories are applied in mobile phone cancer survivorship apps.MethodsThe research team selected a set of criteria-based health apps for mobile phones and assessed each app using qualitative coding methods to assess the application of health behavior change and communication theories. Each app was assessed using a coding derived from the taxonomy of 26 health behavior change techniques by Abraham and Michie with a few important changes based on the characteristics of mHealth apps that are specific to information processing and human computer interaction such as control theory and feedback systems.ResultsA total of 68 mobile phone apps and games built on the iOS and Android platforms were coded, with 65 being unique. Using a Cohen’s kappa analysis statistic, the inter-rater reliability for the iOS apps was 86.1 (P<.001) and for the Android apps, 77.4 (P<.001). For the most part, the scores for inclusion of theory-based health behavior change characteristics in the iOS platform cancer survivorship apps were consistently higher than those of the Android platform apps. For personalization and tailoring, 67% of the iOS apps (24/36) had these elements as compared to 38% of the Android apps (12/32). In the area of prompting for intention formation, 67% of the iOS apps (34/36) indicated these elements as compared to 16% (5/32) of the Android apps.ConclusionsMobile apps are rapidly emerging as a way to deliver health behavior change interventions that can be tailored or personalized for individuals. As these apps and games continue to evolve and include interactive and adaptive sensors and other forms of dynamic feedback, their content and interventional elements need to be grounded in human computer interface design and health behavior and communication theory and practice.

Given the role of physical activity (PA) and good nutrition to delay the onset and progression of most chronic conditions, effective interventions are needed to influence lifestyle behaviors of community-dwelling populations. The purpose of this study is to examine the effectiveness of Texercise Select to improve health indicators, PA, and dietary behaviors, and confidence to engage in healthful behaviors. Texercise Select, a 12-week exercise program, was delivered. Baseline and 12-week follow-up assessments were collected from 220 participants with baseline data who were aged 45 years and older for this non-randomized one-group pre-post design trial. Linear mixed models were fitted for continuous outcome variables and GEE models with logit link function for binary outcome variables. Significant improvements (P < 0.05) were seen in physical activity scores (d = 0.64 for aerobic activity), weekly fruit/vegetable consumption (d = 0.31), daily water consumption (d = 0.29), as well as PA- and nutrition-related confidence (d =0.38 and 0.21, respectively) and social support (d =0.45). Programs rooted in best practices show promise for positively impacting large numbers of participants and becoming sustainably embedded in communities over time.

As part of setting the stage for this supplement to the American Journal of Preventive Medicine, a life-course perspective is presented to assist in understanding the importance of cancer prevention for adults in midlife, a period roughly spanning 20 years between ages 45 and 64 years. Drawing on disciplinary perspectives from the social sciences and public health, several life-course themes are delineated in this article: how specific life transitions present unique opportunities for interventions to inform policy and practice that can improve population health outcomes; how interventions can be focused on those at particular life stages or on the entire life course; and how the onset and progression of chronic conditions such as cancer are dependent on a complex interplay of critical and sensitive periods, and trajectory and accumulation processes. A translational research framework is applied to help promote the movement of applied public health interventions for cancer prevention into practice. Also explored are differences that can affect people at midlife relative to other age cohorts. Specifically, cancer-related risks and care networks are examined, with examples of public health strategies that can be applied to cancer prevention and control. As a conclusion, select methodologic issues and next steps for advancing research and practice are identified.

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