Listening Sessions to Shape the Innovative NIH ComPASS Common Fund Program to Advance Health Equity.

The National Institutes of Health (NIH) recognized the need for a research program to address the underlying structural factors that impact health. To inform the development of the NIH Common Fund Community Partnerships to Advance Science for Society (ComPASS) Program, NIH obtained input through community listening sessions. Through its design, ComPASS recognizes the essential role of community organizations as the lead in addressing persistent structural and social challenges to accelerate progress toward advancing health equity. (Am J Public Health. 2024;114(7):685-689. https://doi.org/10.2105/AJPH.2024.307656).

The Association of Context with Reported Self-Efficacy for Cancer-Preventive Behaviors and Perceived Cancer Risk in U.S. Adults from the Midlife in the United States (MIDUS) Study.

Background: Cancer is one of the leading causes of death in the United States. It is critical to understand the associations among multilevel determinants of cancer prevention and control behaviors. This study examined associations of neighborhood factors with perceived risk of cancer and self-efficacy for reducing cancer risk. Methods: Cross-sectional analyses included 2324 U.S. adults from the Midlife in the U.S. Wave 3. Participants completed surveys of neighborhood environment (perceived neighborhood trust and safety, built environment conditions, social integration), perceived cancer risk and cancer prevention efficacy. Multivariate linear regressions examined associations of neighborhood context with risk perceptions and self-efficacy. Results: In the model that adjusted for sociodemographic characteristics, better perceived neighborhood trust and safety were associated with lower perceived cancer risk. In fully adjusted models for sociodemographic characteristics and contextual factors, higher perceptions of neighborhood trust and safety were associated with higher cancer prevention self-efficacy. Perceptions of better built neighborhood conditions and higher social integration were significantly associated with lower perceived cancer risk and higher perceived cancer prevention efficacy. Conclusions: Perceptions of neighborhood context may play a role in shaping psychosocial factors such as perceived cancer risk and self-efficacy, even after controlling for robust predictors of these perceptions.

Integrating a focus on health equity in implementation science: Case examples from the national cancer institute's implementation science in cancer control centers (ISC3) network.

Background: A Health Equity Task Force (HETF) of members from seven Centers funded by the National Cancer Institute's (NCI) Implementation Science in Cancer Control Centers (ISC3) network sought to identify case examples of how Centers were applying a focus on health equity in implementation science to inform future research and capacity-building efforts. Methods: HETF members at each ISC3 collected information on how health equity was conceptualized, operationalized, and addressed in initial research and capacity-building efforts across the seven ISC3 Centers funded in 2019-2020. Each Center completed a questionnaire assessing five health equity domains central to implementation science (e.g., community engagement; implementation science theories, models, and frameworks (TMFs); and engaging underrepresented scholars). Data generated illustrative examples from these five domains. Results: Centers reported a range of approaches focusing on health equity in implementation research and capacity-building efforts, including (1) engaging diverse community partners/settings in making decisions about research priorities and projects; (2) applying health equity within a single TMF applied across projects or various TMFs used in specific projects; (3) evaluating health equity in operationalizing and measuring health and implementation outcomes; (4) building capacity for health equity-focused implementation science among trainees, early career scholars, and partnering organizations; and (5) leveraging varying levels of institutional resources and efforts to engage, include, and support underrepresented scholars. Conclusions: Examples of approaches to integrating health equity across the ISC3 network can inform other investigators and centers' efforts to build capacity and infrastructure to support growth and expansion of health equity-focused implementation science.

Social determinants of health and US cancer screening interventions: A systematic review.

There remains a need to synthesize linkages between social determinants of health (SDOH) and cancer screening to reduce persistent inequities contributing to the US cancer burden. The authors conducted a systematic review of US-based breast, cervical, colorectal, and lung cancer screening intervention studies to summarize how SDOH have been considered in interventions and relationships between SDOH and screening. Five databases were searched for peer-reviewed research articles published in English between 2010 and 2021. The Covidence software platform was used to screen articles and extract data using a standardized template. Data items included study and intervention characteristics, SDOH intervention components and measures, and screening outcomes. The findings were summarized using descriptive statistics and narratives. The review included 144 studies among diverse population groups. SDOH interventions increased screening rates overall by a median of 8.4 percentage points (interquartile interval, 1.8-18.8 percentage points). The objective of most interventions was to increase community demand (90.3%) and access (84.0%) to screening. SDOH interventions related to health care access and quality were most prevalent (227 unique intervention components). Other SDOH, including educational, social/community, environmental, and economic factors, were less common (90, 52, 21, and zero intervention components, respectively). Studies that included analyses of health policy, access to care, and lower costs yielded the largest proportions of favorable associations with screening outcomes. SDOH were predominantly measured at the individual level. This review describes how SDOH have been considered in the design and evaluation of cancer screening interventions and effect sizes for SDOH interventions. Findings may guide future intervention and implementation research aiming to reduce US screening inequities.

Exploring correlates of support for restricting breast cancer awareness marketing on alcohol containers among women.

BACKGROUND: Although alcohol consumption increases breast cancer risk, some alcohol products include breast cancer awareness marketing (i.e., pink ribbons) on alcohol containers, which poses a contradiction. Some researchers and advocacy groups have called for restrictions on use of the pink ribbon and other breast cancer awareness marketing on alcohol products. This exploratory study aimed to describe individual and behavioral correlates (age, knowledge, attitudes, purchase intention) of reported support for potential policy restrictions of pink ribbon labeling on alcohol containers. METHODS: The study sample was drawn from the Prolific crowd-sourced research platform in September 2020. Eligible participants included U.S. women aged 21+ years. The primary outcome was policy position for restrictions on pink ribbon labeling on alcohol containers, coded as support, neutral, or oppose. The association between pink ribbon labeling attitudes and support or opposition (vs neutral) was examined using multinomial logistic regression. Covariates were 1) knowledge of the alcohol-cancer link; 2) likelihood of buying an alcohol product with pink ribbon labeling; and 3) age. Models were used to calculate adjusted predicted probabilities for support, oppose, and neutral. RESULTS: The analytic sample included 511 women. Overall, 46% of women opposed, 34% were neutral, and 20% supported restricting pink ribbon labeling on alcohol containers. Controlling for all covariates, women who reported that wine increases cancer risk had the highest probability of opposing restrictions on pink ribbon labeling (56.4% [95%CI: 48.1%-64.8%]). Women who reported wine had no effect on cancer risk had the highest probability of being neutral about restrictions on pink ribbon labeling (45.5% [95% CI: 35.7%-55.3%]). Across levels of knowledge about the alcohol-cancer risk association, as favorable attitudes toward pink ribbon labeling increased, the probability of policy opposition increased and the probability of being policy neutral decreased. CONCLUSION: Findings from this study suggest women's favorable attitudes toward pink ribbon labeling on alcohol containers are a stronger predictor of support or opposition for restrictions on pink ribbon labeling than knowledge of the alcohol-cancer link. Future research could examine whether pink ribbon labeling may interact with potential or current health warnings on alcohol containers.

Speeding implementation in cancer: The National Cancer Institute's Implementation Science Centers in Cancer Control.

The National Cancer Institute's Implementation Science Centers in Cancer Control (ISC3) Network represents a large-scale initiative to create an infrastructure to support and enable the efficient, effective, and equitable translation of approaches and evidence-based treatments to reduce cancer risk and improve outcomes. This Cancer MoonshotSM-funded ISC3 Network consists of 7 P50 Centers that support and advance the rapid development, testing, and refinement of innovative approaches to implement a range of evidence-based cancer control interventions. The Centers were designed to have research-practice partnerships at their core and to create the opportunity for a series of pilot studies that could explore new and sometimes risky ideas and embed in their infrastructure a 2-way engagement and collaboration essential to stimulating lasting change. ISC3 also seeks to enhance capacity of researchers, practitioners, and communities to apply implementation science approaches, methods, and measures. The Organizing Framework that guides the work of ISC3 highlights a collective set of 3 core areas of collaboration within and among Centers, including to 1) assess and incorporate dynamic, multilevel context; 2) develop and conduct rapid and responsive pilot and methods studies; and 3) build capacity for knowledge development and exchange. Core operating principles that undergird the Framework include open collaboration, consideration of the dynamic context, and engagement of multiple implementation partners to advance pragmatic methods and health equity and facilitate leadership and capacity building across implementation science and cancer control.

Opportunities to advance implementation science and nutrition research: a commentary on the Strategic Plan for NIH Nutrition Research.

Despite population-wide recommendations by the U.S. Dietary Guidelines for Americans and others to encourage health-promoting dietary patterns, the proportion of Americans following dietary recommendations remains low. The gaps in the adoption and integration of evidence-based dietary interventions, practices, programs, and policies (EBIs) into community and clinical settings signal the need to strengthen efforts in implementation science (IS) in nutrition research to understand and alleviate barriers to adopting and sustaining healthy dietary behaviors and practices. Equally important is the translation of this research into practice in a variety of settings and across the diversity of populations. Recognizing this need, the U.S. National Institutes of Health (NIH) 2020-2030 Strategic Plan for NIH Nutrition Research calls for the expansion of IS as a key opportunity to advancing nutrition research. This commentary highlights three scientific opportunities to stimulate IS in nutrition research and provides examples for each opportunity. These include: (a) Advance consideration of implementation and dissemination early in the design of interventions to facilitate opportunities for equitable scale-up and sustainability of EBIs, (b) Develop and test strategies for equitable implementation of nutrition and diet EBIs in health care and community settings, and (c) Build and strengthen the infrastructure, capacity, and expertise needed to increase use of IS in clinical and community nutrition research to swiftly move the research into practice. By advancing the three opportunities identified in this commentary, the scientific community has the potential to advance the field of nutrition research and IS with the ultimate goal of improving public health.

While dietary guidelines have proven effective in clinical studies, most Americans do not follow these tested guidelines. More work is needed to bring research into practice so that all populations can benefit from the research. The U.S. National Institutes of Health recognizes this need and highlights it as a key opportunity in its 2020­2030 Strategic Plan for NIH Nutrition Research. This commentary describes three scientific opportunities that can help to stimulate the research needed to move research into practice, toward the ultimate goal of improving public health.

Advancing multi-level health communication research: A Delphi study on barriers and opportunities.

Adopting a multi-level perspective that considers the many interrelated contexts influencing health could make health communication interventions more effective and equitable. However, despite increasing interest in the use of multi-level approaches, multi-level health communication (MLHC) interventions are infrequently utilized. We therefore sought to conduct a modified Delphi study to better understand how researchers conceptualize MLHC interventions and identify opportunities for advancing MLHC work. Communication and health behavior experts were invited to complete two rounds of surveys about the characteristics, benefits, pitfalls, best practices, barriers, and facilitators of MLHC interventions; the role of technology in facilitating MLHC interventions; and ways to advance MLHC intervention research (46 experts completed the first survey, 44 completed both surveys). Survey data were analyzed using a mixed-methods approach. Panelists reached consensus on two components of the proposed definition of MLHC interventions and also put forward a set of best practices for these interventions. Panelists felt that most health intervention research could benefit from a multi-level approach, and generally agreed that MLHC approaches offered certain advantages over single-level approaches. However, they also expressed concern related to the time, cost, and complexity of MLHC interventions. Although panelists felt that technology could potentially support MLHC interventions, they also recognized the potential for technology to exacerbate disparities. Finally, panelists prioritized a set of methodological advances and practical supports that would be needed to facilitate future MLHC intervention research. The results of this study point to several future directions for the field, including advancing how interactions between levels are assessed, increasing the empirical evidence base demonstrating the advantages of MLHC interventions, and identifying best practices for the use of technology. The findings also suggest that researchers may need additional support to overcome the perceived practical challenges of conducting MLHC interventions.

BACKGROUND: Considering the factors that affect health across multiple levels (e.g., individual, family, community, and policy) could make health communication interventions more effective and equitable. The goal of this study was to better understand how researchers characterize multi-level health communication (MLHC) interventions and to identify opportunities for advancing work in this area. METHODS: Communication and health behavior experts were invited to complete two rounds of surveys about MLHC interventions. RESULTS: Panelists reported that most health communication interventions could benefit from a multi-level approach, and generally agreed that MLHC approaches offer certain advantages over single-level approaches. However, they also expressed concern related to the time, cost, and complexity of MLHC interventions. Although panelists felt that technology could potentially support MLHC interventions, they also recognized that the use of technology could have unintended consequences. Using input from the panel of experts recruited for the study, we propose a working definition of MLHC interventions and a set of best practices for conducting these types of interventions. CONCLUSIONS: Results suggest the need to improve methods, conduct additional research demonstrating the advantages of MLHC interventions, and identify how technology can best be used to support these interventions.

Social determinants of health and cancer screening implementation and outcomes in the USA: a systematic review protocol.

BACKGROUND: Improving the delivery, uptake, and implementation of cancer screening to meet evidence-based recommendations is needed to reduce persistent cancer health disparities in the USA. Current national public health targets emphasize the role of social determinants of health (SDOH) on cancer screening. However, there remains a need to explicate these linkages, toward the goal of identifying and implementing effective interventions that target and address SDOH to reduce inequities in cancer screening. METHODS: We will conduct a systematic review of English language peer-reviewed original research articles published between 2010 and 2021 that describe observational (qualitative and quantitative) and intervention studies conducted in the USA. In alignment with Healthy People 2030, we will include studies of breast, cervical, colorectal, and/or lung cancer screening. Guided by multiple SDOH frameworks, we will broadly define SDOH by five domain areas: economic stability, education access and quality, healthcare access and quality, neighborhood and built environment, and social and community context. Following systematic literature searches in five databases (Ovid MEDLINE, Embase, CINAHL, Web of Science, Cochrane Library) and piloting of screening procedures, reviewers will independently screen titles/abstracts for potential relevance. Reviewer pairs will then screen full text articles for eligibility criteria. We will extract data items from included articles, including study characteristics, cancer screening intervention information, and coding of SDOH constructs. We will assess study quality using the Mixed Methods Appraisal Tool and synthesize our findings using narrative, descriptive statistics, tables, and figures. Our approach will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) recommendations. DISCUSSION: By completing this systematic review, we will summarize recent literature on SDOH and cancer screening, identify research gaps for inclusion of SDOH, and propose future opportunities for advancing equity in cancer screening by integrating SDOH as part of the implementation context to promote uptake, sustainability, and scale-up in the implementation of screening guidelines. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021276582 .

Collaboration networks of the implementation science centers for cancer control: a social network analysis.

BACKGROUND: Multi-center research initiatives offer opportunities to develop and strengthen connections among researchers. These initiatives often have goals of increased scientific collaboration which can be examined using social network analysis. METHODS: The National Cancer Institute (NCI)-funded Implementation Science Centers in Cancer Control (ISC3) initiative conducted an online social network survey in its first year of funding (2020) to (1) establish baseline network measures including the extent of cross-center collaboration and (2) assess factors associated with a network member's access to the network such as one's implementation science (IS) expertise. Members of the seven funded centers and NCI program staff identified collaborations in planning/conducting research, capacity building, product development, scientific dissemination, and practice/policy dissemination. RESULTS: Of the 192 invitees, 182 network members completed the survey (95%). The most prevalent roles were faculty (60%) and research staff (24%). Almost one-quarter (23%) of members reported advanced expertise in IS, 42% intermediate, and 35% beginner. Most members were female (69%) and white (79%). One-third (33%) of collaboration ties were among members from different centers. Across all collaboration activities, the network had a density of 14%, suggesting moderate cohesion. Degree centralization (0.33) and betweenness centralization (0.07) measures suggest a fairly dispersed network (no single or few central member(s) holding all connections). The most prevalent and densely connected collaboration was in planning/conducting research (1470 ties; 8% density). Practice/policy dissemination had the fewest collaboration, lowest density (284 ties' 3% density), and the largest number of non-connected members (n=43). Access to the ISC3 network varied significantly depending on members' level of IS expertise, role within the network, and racial/ethnic background. Across all collaboration activities, most connected members included those with advanced IS expertise, faculty and NCI staff, and Hispanic or Latino and white members. CONCLUSIONS: Results establish a baseline for assessing the growth of cross-center collaborations, highlighting specific areas in need of particular growth in network collaborations such as increasing engagement of racial and ethnic minorities and trainees or those with less expertise in IS.

Effects of Buffer Size and Shape on the Association of Neighborhood SES and Adult Fruit and Vegetable Consumption.

Introduction: Neighborhood environment factors are relevant for dietary behaviors, but associations between home neighborhood context and disease prevention behaviors vary depending on the definition of neighborhood. The present study uses a publicly available dataset to examine whether associations between neighborhood socioeconomic status (NSES) and fruit/vegetable (FV) consumption vary when NSES is defined by different neighborhood sizes and shapes. Methods: We analyzed data from 1,736 adults with data in GeoFLASHE, a geospatial extension of the National Cancer Institute's Family Life, Activity, Sun, Health, and Eating Study (FLASHE). We examined correlations of NSES values across neighborhood buffer shapes (circular or street network) and sizes (ranging from 400 to 1,200 m) and ran weighted simple and multivariable regressions modeling frequency of FV consumption by NSES for each neighborhood definition. Regressions were also stratified by gender. Results: NSES measures were highly correlated across various neighborhood buffer definitions. In models adjusted for socio-demographics, circular buffers of all sizes and street buffers 750 m and larger were significantly associated with FV consumption frequency for women only. Conclusion: NSES may be particularly relevant for women's FV consumption, and further research can examine whether these associations are explained by access to food stores, food shopping behavior, and/or psychosocial variables. Although different NSES buffers are highly correlated, researchers should conceptually determine spatial areas a priori.

A national examination of neighborhood socio-economic disparities in built environment correlates of youth physical activity.

Adolescents in the U.S. do not meet current physical activity guidelines. Ecological models of physical activity posit that factors across multiple levels may support physical activity by promoting walkability, such as the neighborhood built environment and neighborhood socioeconomic status (nSES). We examined associations between neighborhood built environment factors and adolescent moderate-to-vigorous physical activity (MVPA), and whether nSES moderated associations. Data were drawn from a national sample of adolescents (12-17 years, N = 1295) surveyed in 2014. MVPA (minutes/week) were estimated from self-report validated by accelerometer data. Adolescents' home addresses were geocoded and linked to Census data from which a nSES Index and home neighborhood factors were derived using factor analysis (high density, older homes, short auto commutes). Multiple linear regression models examined associations between neighborhood factors and MVPA, and tested interactions between quintiles of nSES and each neighborhood factor, adjusting for socio-demographics. Living in higher density neighborhoods (B(SE): 9.22 (2.78), p = 0.001) and neighborhoods with more older homes (4.42 (1.85), p = 0.02) were positively associated with adolescent MVPA. Living in neighborhoods with shorter commute times was negatively associated with MVPA (-5.11 (2.34), p = 0.03). Positive associations were found between MVPA and the high density and older homes neighborhood factors, though associations were not consistent across quintiles. In conclusion, living in neighborhoods with walkable attributes was associated with greater adolescent MVPA, though the effects were not distributed equally across nSES. Adolescents living in lower SES neighborhoods may benefit more from physical activity interventions and environmental supports that provide opportunities to be active beyond neighborhood walkability.

Associations between ultraviolet radiation, tree cover and adolescent sunburns.

BACKGROUND: Sunburn is the strongest risk factor for melanoma and non-melanoma skin cancers. Adolescent sunburns are related to higher risk of developing melanoma later in life. Little is known about the association of sunburns and shade, particularly tree cover, around adolescent homes and schools. This linkage study assessed associations of adolescent self-reported sunburns with ambient ultraviolet radiation (UV) and tree cover. METHODS: We analyzed a U.S. national sample of parent-child dyads (n = 1333) from the 2014 Family Life, Activity, Sun, Health, and Eating (FLASHE) study conducted by the National Cancer Institute. The outcome was adolescent sunburns reported for the previous 12 months. GIS buffers around geocoded home and school addresses were used to summarize UV and tree cover. A sensitivity analysis assessed different UV measures and tree cover buffer distances. Logistic regression models estimated the adjusted odds of any sunburns for five models: (1) no environmental variables; (2) spatial variables of latitude and longitude; (3) UV; (4) tree cover; and, (5) a combined model with UV and tree cover. Covariates included common sunburn-related items such as sun protective behaviors, socio-demographics, and latitude. Model residuals were assessed for spatial dependency and clustering. RESULTS: Overall, 44% of adolescents reported any sunburns in the previous 12 months. For the bivariate associations, lower categories of UV were associated with any reported sunburns (p-trend = 0.002). Home tree cover was not associated with any reported sunburns (p-trend = 0.08), whereas schools with lower categories of tree cover were associated with sunburns (p-trend = 0.008). The adjusted odds of any sunburns by UV tertiles, as a linear tread, was 0.89 (0.76-1.05) (p = 0.17); school tree cover was: 0.91 (0.78-1.07) (p = 0.25). Neither UV nor tree cover, in a combined model, were significant. Sensitivity analyses resulted in the optimal buffer size of 200 m for summarizing tree cover. Spatial dependence of residuals was not significant and clustering was significant for about 6% or less of the sample in each model. CONCLUSIONS: We did not find significant relationships between UV or tree cover and adolescent sunburns, when adjusted by sunburn-related covariates. Better contextual data about where sunburns occurred is needed to identify environmental correlates of sunburn.

Correlates of fruit and vegetable intake among parents and adolescents: findings from the Family Life, Activity, Sun, Health, and Eating (FLASHE) study.

OBJECTIVE: The present study aimed to examine the correlates of fruit and vegetable intake (FVI) separately among parents and their adolescents. DESIGN: Cross-sectional surveys. SETTING: Online survey. SUBJECTS: Parents and adolescents completed the Family Life, Activity, Sun, Health, and Eating (FLASHE) survey through the National Cancer Institute. The survey assessed daily intake frequencies of food/beverage groups, psychosocial, parenting and sociodemographic factors. Generalized linear models were run for both parents and adolescents, for a total of six models (three each): (i) sociodemographic characteristics; (ii) psychosocial factors; (iii) parent/caregiver factors. RESULTS: Parent participants (n 1542) were predominantly 35-59 years old (86 %), female (73 %), non-Hispanic White (71 %) or non-Hispanic Black (17 %), with household income <$US 100 000 (79 %). Adolescents (n 805) were aged 12-14 years (50 %), non-Hispanic White (66 %) and non-Hispanic Black (15 %). Parents consumed 2·9 cups fruits and vegetables (F&V) daily, while adolescents consumed 2·2 cups daily. Educational attainment (higher education had greater FVI) and sex (men consumed more than women; all P<0·001) were significant FVI predictors. Parents with greater autonomous and controlled motivation, self-efficacy and preferences for fruit reported higher FVI (all P<0·001). Similarly, adolescents with greater autonomous and controlled motivation, self-efficacy and knowledge reported higher FVI (all P<0·001). Parenting factors of importance were co-deciding how many F&V teens should have, rules, having F&V in the home and cooking meals from scratch (all P<0·05). CONCLUSIONS: Findings suggest factors that impact FVI among parents and their adolescent(s), which highlight the importance of the role of parent behaviour and can inform tailored approaches for increasing FVI in various settings.

Independent Associations and Interactions of Perceived Neighborhood and Psychosocial Constructs on Adults' Physical Activity.

BACKGROUND: Neighborhood and psychosocial variables are related to physical activity (PA), yet interactions between these factors in predicting PA are infrequently studied. METHODS: This analysis examines the independent associations and interactions between self-reported neighborhood and psychosocial variables in relation to moderate to vigorous PA (MVPA) among adults from a US panel sample. RESULTS: In adjusted models, neighborhood social capital was positively associated with meeting MVPA guidelines. Fewer barriers, greater self-efficacy, and greater autonomous motivation also corresponded with greater odds of meeting MVPA guidelines. An interaction between social capital and autonomous motivation showed that social capital was only associated with MVPA when autonomous motivation was high. Participants who reported both high autonomous motivation and high social capital were most likely to meet MVPA guidelines. CONCLUSIONS: Neighborhood social capital, barriers, self-efficacy, and autonomous motivation may be important correlates in promoting adults' PA. Future directions include using objective neighborhood and PA data in similar analyses and investigating associations of neighborhood and psychosocial variables with multiple PA activities. Intervention research to promote PA should also examine whether effects of interventions targeting psychosocial constructs are moderated by features of an individual's neighborhood or whether perceived social capital can be addressed in interventions in conjunction with psychosocial variables.

Geospatial approaches to cancer control and population sciences at the United States cancer centers.

PURPOSE: Geospatial, contextual, and multilevel research is integral to cancer prevention and control. NCI-designated Cancer Centers are at the forefront of cancer research; therefore, this paper sought to review the geospatial, contextual, and multilevel research at these cancer centers. METHODS: Investigators used PubMed and Web of Science to compile geospatial publications from 1971 to February 2016 with cancer center-affiliated authors. Relevant abstracts were pulled and classified by six geospatial approaches, eight geospatial scales, and eight cancer sites. RESULTS: The searches identified 802 geospatial, contextual, and multilevel publications with authors affiliated at 60 of the 68 NCI-designated Cancer Centers. Over 90% were published after 2000. Five cancer centers accounted for approximately 50% of total publications, and 30 cancer centers accounted for over 85% of total publications. Publications covered all geospatial approaches and scales to varying degrees, and 90% dealt with cancer. CONCLUSIONS: The NCI-designated Cancer Center network is increasingly pursuing geospatial, contextual, and multilevel cancer research, although many cancer centers still conduct limited to no research in this area. Expanding geospatial efforts to research programs across all cancer centers will further enrich cancer prevention and control. Similar reviews may benefit other domestic and international cancer research institutions.

The FLASHE Study: Survey Development, Dyadic Perspectives, and Participant Characteristics.

The National Cancer Institute developed the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study to examine multiple cancer preventive behaviors within parent-adolescent dyads. The purpose of creating FLASHE was to enable the examination of physical activity, diet, and other cancer preventive behaviors and potential correlates among parent-adolescent dyads. FLASHE surveys were developed from a process involving literature reviews, scientific input from experts in the field, cognitive testing, and usability testing. This cross-sectional, web-based study of parents and their adolescent children (aged 12-17 years) was administered between April and October 2014. The nationwide sample consisted of 1,573 parent-adolescent dyads (1,699 parents and 1,581 adolescents) who returned all FLASHE surveys. FLASHE assessed parent and adolescent reports of several intrapersonal and interpersonal domains (including psychosocial variables, parenting, and the community and home environments). On a subset of example FLASHE items across these domains, responses of parents and adolescents within the same dyads were positively and significantly correlated (r =0.32-0.63). Analyses were run in 2015-2016. FLASHE data present multiple opportunities for studying research questions among individuals or dyads, including the ability to examine similarity between parents and adolescents on many constructs relevant to cancer preventive behaviors. FLASHE data are publicly available for researchers and practitioners to help advance research on cancer preventive health behaviors.

Recruitment, Enrollment, and Response of Parent-Adolescent Dyads in the FLASHE Study.

INTRODUCTION: In 2014, the National Cancer Institute conducted the Family Life, Activity, Sun, Health, and Eating Study (FLASHE). This parent and adolescent survey examines psychosocial; generational (parent-adolescent); and environmental (home and neighborhood) correlates of cancer-preventive behaviors, with a particular emphasis on diet and physical activity. This paper describes the FLASHE data collection methods and enrollment and response rates. METHODS: FLASHE data collection methods included web-based surveys delivered to dyads of parents and their adolescent children, and deployment of accelerometers to a subset of adolescents, to achieve study goals in a nationwide study sample. The National Cancer Institute contracted with Westat, Inc. to recruit, enroll, and collect the data using a consumer opinion panel. RESULTS: A total of 5,027 dyads were screened for eligibility, and 1,945 (38.7%) enrolled. Of fully enrolled dyads, 85.6% of those in the Survey-Only group completed all four surveys, and 58.7% of dyads in the Motion Study group completed all surveys and were compliant with the accelerometer protocol for adolescents. The overall study response rate was 29.4%; 1,479 dyads completed all study procedures. The majority of parents were female, whereas the adolescent sample was gender balanced. Data were analyzed in 2015-2016. CONCLUSIONS: FLASHE recruited a large sample of parent-adolescent dyads. Although challenges for research in parent-adolescent dyads include enrolling a diverse sample and having multistep enrollment and consent processes, study completion rate was high among fully enrolled dyads. Future panel studies may consider approaches used in FLASHE to encourage study enrollment and completion.

Using Secondary 24-Hour Dietary Recall Data to Estimate Daily Dietary Factor Intake From the FLASHE Study Dietary Screener.

INTRODUCTION: The National Cancer Institute's 2014 Family Life, Activity, Sun, Health, and Eating Study utilized a 27-item Dietary Screener tailored to adolescent eating patterns that assessed the frequency of intake of several foods and beverages in parent-adolescent dyads. This study estimated intake of fruits and vegetables (FVs), dairy, added sugars, and whole grains for screener respondents using existing, nationally representative, 24-hour dietary recall data. METHODS: Dietary Screener items were converted from frequency responses to daily intake. Intake (dependent variable) was estimated using regression coefficients and portion sizes of foods and beverages (independent variables) generated from the 2003-2006 National Health and Nutrition Examination Survey 2-day 24-hour recall data set. Means (SDs) were used to examine daily dietary factor intake among parent and adolescents. Analysis was conducted in 2015-2016. The analytic sample consisted of 1,732 parents (aged ≥18 years) and their adolescent aged 12-17 years (n=1,632). RESULTS: Male parents consumed 3.6 cups of FVs, 1.8 cups of dairy, 22.6 teaspoons of added sugars, and 2.1 ounces of whole grains daily; female parents consumed 2.8 cups of FVs, 1.3 cups of dairy, 14.8 teaspoons of added sugars, and 1.4 ounces of whole grains daily. Male adolescents consumed 2.2 cups of FVs, 1.9 cups of dairy, 17.9 teaspoons of added sugars, and 1.0 ounces of whole grains daily; female adolescents consumed 2.2 cups FVs, 1.6 cups of dairy, 14.2 teaspoons of added sugars, and 0.8 ounces of whole grains daily. CONCLUSIONS: Utilizing a dietary screener tailored to adolescent eating patterns in parent-adolescent dyads provided estimated dietary factor intake, underscoring existing 24-hour dietary recall data can be used to calibrate dietary habits.