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OBJECTIVE: Selecting appropriate community channels or settings for delivering evidence-based health promotion programs can be critical to successful dissemination. This article describes how five criteria--accessibility, opportunity, appropriateness, reach, and specificity--were applied in identifying and comparing seven community settings as host sites for a tailored breast cancer education computer kiosk for African American women. METHODS: Data were gathered from 10,306 kiosk uses in 92 beauty salons, churches, neighborhood health centers, laundromats, social service agencies, health fairs, and public libraries between June 2003 and March 2007. FINDINGS: Of the seven settings, only laundromats were found to provide both high reach (ie, frequent kiosk use) and high specificity (ie, a large proportion of users with no health insurance, unaware of where to get a mammogram, reporting no recent mammogram and barriers to getting one, and having little knowledge about breast cancer and mammography). CONCLUSIONS: Systematic, data-based evaluations of potential dissemination channels can help identify optimal settings for cancer control interventions. [ABSTRACT FROM AUTHOR]

Objective: In this study, we examined associations between county-level measures of structural racism and county-level cancer incidence and mortality rates between race groups while accounting for factors associated with cancer rates and county-level measures of environmental burden., Methods: To explore this relationship, we conducted multiple linear regression analyses. Data for these analyses came from an index of county-level structural racism and publicly available data on 2015 to 2019 age-adjusted cancer rates from the US Cancer Statistics Data Visualization Tool, 2019 County Health Rankings and Roadmaps, the Environmental Protection Agency's 2006 to 2010 Environmental Quality Index, and 2015 to 2019 estimates from the US Census American Community Survey., Results: County-level structural racism was associated with higher county cancer incidence rates among Black (adjusted incidence rate: 17.4, 95% confidence interval [95% CI]: 9.3, 25.5) and Asian/Pacific Islander populations (adjusted incidence rate: 9.3, 95% CI: 1.8, 16.9) and higher mortality rates for American Indian/Alaskan Native (adjusted mortality rate [AMR]: 17.4, 95% CI: 4.2, 30.6), Black (AMR: 11.9, 95% CI: 8.9, 14.8), and Asian/Pacific Islander (AMR: 4.7, 95% CI: 1.3, 8.1) populations than White populations., Conclusion: Our findings highlight the detrimental impact of structural racism on cancer outcomes among minoritized populations. Strategies aiming to mitigate cancer disparities must embed processes to recognize and address systems, policies, laws, and norms that create and reproduce patterns of discrimination., Competing Interests: Conflict of Interest: No conflict of interest reported by the authors.

Background: Although racial disparities in lung cancer incidence and mortality have diminished in recent years, lung cancer remains the second most diagnosed cancer among US Black populations. Many factors contributing to disparities in lung cancer are rooted in structural racism. To quantify this relationship, we examined associations between a multidimensional measure of county-level structural racism and county lung cancer incidence and mortality rates among Black populations, while accounting for county levels of environmental quality., Methods: We merged 2016-2020 data from the United States Cancer Statistics Data Visualization Tool, a pre-existing county-level structural racism index, the Environmental Protection Agency's 2006-2010 Environmental Quality Index (EQI), 2023 County Health Rankings, and the 2021 United States Census American Community Survey. We conducted multivariable linear regressions to examine associations between county-level structural racism and county-level lung cancer incidence and mortality rates., Results: Among Black males and females, each standard deviation increase in county-level structural racism score was associated with an increase in county-level lung cancer incidence of 6.4 (95% CI: 4.4, 8.5) cases per 100,000 and an increase of 3.3 (95% CI: 2.0, 4.6) lung cancer deaths per 100,000. When examining these associations stratified by sex, larger associations between structural racism and lung cancer rates were observed among Black male populations than among Black females., Conclusion: Structural racism contributes to both the number of new lung cancer cases and the number of deaths caused by lung cancer among Black populations. Those aiming to reduce lung cancer cases and deaths should consider addressing racism as a root-cause., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Behavioral digital health interventions (e.g., mobile apps, websites, wearables) have been applied widely to improve health outcomes. However, many groups (e.g., people with low income levels, people who are geographically isolated, older adults) may face obstacles to technology access and use. In addition, research has found that biases and stereotypes can be embedded within digital health interventions. As such, behavioral digital health interventions that intend to improve overall population health may unintentionally widen health-related inequities., Purpose: This commentary offers guidance and strategies to mitigate these risks when using technology as a means for delivering a behavioral health intervention., Methods: A collaborative working group from Society of Behavioral Medicine's Health Equity Special Interest Group developed a framework to center equity in the development, testing and dissemination of behavioral digital health interventions., Results: We introduce Partner, Identify, Demonstrate, Access, Report (PIDAR), a 5-point framework to avoid the creation, perpetuation, and/or widening of health inequities in behavioral digital health work., Conclusions: It is critically important to prioritize equity when conducting digital health research. The PIDAR framework can serve as a guide for behavioral scientists, clinicians and developers., (© Society of Behavioral Medicine 2023. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: The current study examined the relationships between religious resources (i.e., certainty of belief in God and attendance at religious services), religious struggle (e.g., belief that cancer is evidence of God's punishment or abandonment), and physical and mental health-related quality of life (HRQoL), including fear of cancer recurrence (FCR), in a large, geographically and clinically diverse sample of long-term survivors of cancer., Methods: Participants were 2021 9-year survivors of cancer from the American Cancer Society's Study of Cancer Survivors - I. Religious resources included belief in God and attendance at religious services. Items from the Brief RCOPE and the PROMIS Psychosocial Impact of Illness were combined to assess religious struggle. Survivors also completed the Fear of Cancer Recurrence Inventory, SF-12, and Meaning and Peace subscales of the FACIT-Sp. Regression models were used to predict HRQoL and FCR from religious resources and struggle., Results: In multivariable models, certain belief in God predicted greater mental HRQoL (B = 1.99, p < .01), and attendance at religious services was associated with greater FCR (B = .80, p < .05) as well as better mental (B = .34, p < .01) and physical (B = .29, p < .05) HRQoL. In addition, religious struggle predicted greater FCR (B = 1.32, p < .001) and poorer mental (B =  - .59, p < .001) and physical (B =  - .29, p < .001) HRQoL. Many of these relationships were mediated through Meaning., Conclusions: With the exception of FCR, religious resources predicted better HRQoL outcomes in these long-term survivors of cancer. Conversely, religious struggle consistently predicted poorer HRQoL, including greater FCR., Implications for Cancer Survivors: Given the documented importance of its role in coping with the cancer experience, religion/spirituality should be a consideration in every survivorship care plan. Multidisciplinary assessment and support of religious resources and identification of and referral for religious struggle are needed to ensure the well-being of most long-term survivors of cancer., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Purpose: Prior cancer research is limited by inconsistencies in defining rurality. The purpose of this study was to describe the prevalence of cancer risk factors and cancer screening behaviors across various county-based rural classification codes, including measures reflecting a continuum, to inform our understanding of cancer disparities according to the extent of rurality., Methods: Using an ecological cross-sectional design, we examined differences in cancer risk factors and cancer screening behaviors from the Behavioral Risk Factor Surveillance System and National Health Interview Survey (2008-2013) across rural counties and between rural and urban counties using four rural-urban classification codes for counties and county-equivalents in 2013: U.S. Office of Management and Budget, National Center for Health Statistics, USDA Economic Research Service's rural-urban continuum codes, and Urban Influence Codes., Results: Although a rural-to-urban gradient was not consistently evident across all classification codes, the prevalence of smoking, obesity, physical inactivity, and binge alcohol use increased (all p trend  < 0.03), while colorectal, cervical and breast cancer screening decreased (all p trend  < 0.001) with increasing rurality. Differences in the prevalence of risk factors and screening behaviors across rural areas were greater than differences between rural and urban counties for obesity (2.4% vs. 1.5%), physical activity (2.9% vs. 2.5%), binge alcohol use (3.4% vs. 0.4%), cervical cancer screening (6.8% vs. 4.0%), and colorectal cancer screening (4.4% vs. 3.8%)., Conclusions: Rural cancer disparities persist across multiple rural-urban classification codes, with marked variation in cancer risk factors and screening evident within rural regions. Focusing only on a rural-urban dichotomy may not sufficiently capture subpopulations of rural residents at greater risk for cancer and cancer-related mortality., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Background: Cannabis use is increasing, including among smokers, an at-risk population for cancer. Research is equivocal on whether using cannabis inhibits quitting cigarettes. The current longitudinal study investigated associations between smoking cannabis and subsequently quitting cigarettes., Methods: Participants were 4,535 adult cigarette smokers from a cohort enrolled in the American Cancer Society's Cancer Prevention Study-3 in 2009-2013. Cigarette quitting was assessed on a follow-up survey in 2015-2017, an average of 3.1 years later. Rates of quitting cigarettes at follow-up were examined by retrospectively assessed baseline cannabis smoking status ( never, former, recent ), and by frequency of cannabis smoking among recent cannabis smokers ( low : ≤3 days/month; medium : 4-19 days/month; high : ≥20 days/month). Logistic regression models adjusted for sociodemographic factors, smoking- and health-related behaviors, and time between baseline and follow-up., Results: Adjusted cigarette quitting rates at follow-up did not differ significantly by baseline cannabis smoking status [never 36.2%, 95% confidence interval (CI), 34.5-37.8; former 34.1%, CI, 31.4-37.0; recent 33.6%, CI, 30.1-37.3], nor by frequency of cannabis smoking (low 31.4%, CI, 25.6-37.3; moderate 36.7%, CI, 30.7-42.3; high 34.4%, CI, 28.3-40.2) among recent baseline cannabis smokers. In cross-sectional analyses conducted at follow-up, the proportion of cigarette smokers intending to quit smoking cigarettes in the next 30 days did not differ by cannabis smoking status ( P = 0.83)., Conclusions: Results do not support the hypothesis that cannabis smoking inhibits quitting cigarette smoking among adults., Impact: Future longitudinal research should include follow-ups of >1 year, and assess effects of intensity/frequency of cannabis use and motivation to quit on smoking cessation., (©2021 The Authors; Published by the American Association for Cancer Research.)

Cancer survivors' quality of life (QoL) is consistently shown to be positively impacted by social support from family and friends, including informal caregivers. In contrast, a loved one's negative response to cancer can diminish survivors' QoL, and these negative responses can be more impactful than supportive behaviors. Nonetheless, negative caregiver response has not been extensively researched, and few studies have explored the potential interaction of negative caregiver response and perceived social support on survivors' QoL. Therefore, we examined direct effects of perceived negative caregiver response, and the potential moderating role of social support, on QoL in a population-based sample of cancer survivors (N = 7543) using generalized linear models. Findings indicate that survivors who rated their caregiver's response to their cancer diagnosis more negatively reported worse physical and mental health, even up to 10 years after their initial cancer diagnosis. Perceived social support was not significantly associated with physical health, but it was positively associated with mental health. However, social support was not shown to moderate the relationship between negative caregiver response and mental health. Findings suggest that positive support from others within a survivor's social network may not be enough to attenuate the negative effects of their primary caregiver's unsupportive behaviors. Accordingly, cancer survivorship research and practice must consider the critical role that negative caregiver responses have on survivors' QoL and develop strategies that focus on the survivor-caregiver dynamic.

The COVID-19 pandemic is the greatest global public health crisis since the 1918 influenza outbreak. As of early June, the novel coronavirus has infected more than 6.3 million people worldwide and more than 1.9 million in the United States (US). The total number of recorded deaths due to COVID-19 are growing at an alarming rate globally (³383,000) and nationally (³109,000) Evidence is mounting regarding the heavier burden of COVID-19 infection, morbidity, and mortality on the underserved populations in the US. This commentary focuses on this global health pandemic and how mitigation of the virus relies heavily on health behavior change to slow its spread, highlighting how the pandemic specifically affects the most socially and economically disadvantaged populations in the US. The commentary also offers short, intermediate and long-term research and policy focused recommendations. Both the research and policy recommendations included in this commentary emphasize equity-driven: (1) research practices, including applying a social determinants and health equity lens on monitoring, evaluation, and clinical trials activities on COVID-19; and (2) policy actions, such as dedicating resources to prioritize high-risk communities for testing, treatment, and prevention approaches and implementing organizational, institutional, and legislative policies that address the social and economic barriers to overall well-being that these populations face during a pandemic. It is our hope that these recommendations will generate momentum in delivering timely, effective, and lifesaving changes., (© Society of Behavioral Medicine 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objectives: The impact of religion/spirituality (R/S) on cancer outcomes, including health-related quality of life (HRQoL), has been the topic of much investigation. Reports of the opposite, that is, the impact of cancer on R/S and associations with HRQoL, are few. The current study sought to explore the positive and negative impacts of cancer on the religious faith of survivors as well as the associations of such impacts with HRQoL., Methods: Participants included 2309 9-year survivors of cancer from the American Cancer Society's Studies of Cancer Survivors-I. The impact of cancer on R/S was measured using items from the Patient-Reported Outcomes Measurement Information System (PROMIS) psychosocial impact of illness-faith, and HRQoL was measured with the 12-item short form (SF-12). Hierarchical regressions were used to examine the impact of cancer on R/S controlling for medical and demographic covariates., Results: Consistent with hypotheses, the majority of survivors (70%) reported that cancer had a positive impact on religious faith, while the negative impact of cancer on religious faith was relatively rare (17%). In multivariable models, the negative impact of cancer on faith was associated with poorer HRQoL, both mental and physical, while the positive impact of cancer on faith was associated with greater mental well-being., Conclusions: Cancer has a negative impact on religious faith for a minority of survivors. However, when it is reported, such negative impact is indicative of poorer mental and physical well-being. As such, it is important to identify those survivors at risk early in survivorship and provide support and intervention as needed., (© 2020 John Wiley & Sons, Ltd.)

Background: Energy balance-related factors, such as body mass index (BMI), diet, and physical activity, may influence colorectal cancer etiology through interconnected metabolic pathways, but their combined influence is less clear., Methods: We used reduced rank regression to derive three energy balance scores that associate lifestyle factors with combinations of prediagnostic, circulating levels of high-sensitivity C-reactive protein (hsCRP), C-peptide, and hemoglobin A 1c (HbA 1c ) among 2,498 participants in the Cancer Prevention Study-II Nutrition Cohort. Among 114,989 participants, we verified 2,228 colorectal cancer cases. We assessed associations of each score with colorectal cancer incidence and by tumor molecular phenotypes using Cox proportional hazards regression., Results: The derived scores comprised BMI, physical activity, screen time, and 14 food groups, and explained 5.1% to 10.5% of the variation in biomarkers. The HR and 95% confidence interval (CI) for quartile 4 versus 1 of the HbA 1c +C peptide-based score and colorectal cancer was 1.30 (1.15-1.47), the hsCRP-based score was 1.35 (1.19-1.53), and the hsCRP, C-peptide, and HbA 1c -based score was 1.35 (1.19-1.52). The latter score was associated with non-CIMP tumors (HR Q4vsQ1 : 1.59; 95% CI: 1.17-2.16), but not CIMP-positive tumors ( P heterogeneity = 0.04)., Conclusions: These results further support hypotheses that systemic biomarkers of metabolic health-inflammation and abnormal glucose homeostasis-mediate part of the relationship between several energy balance-related modifiable factors and colorectal cancer risk., Impact: Results support cancer prevention guidelines for maintaining a healthful body weight, consuming a healthful diet, and being physically active. More research is needed on these clusters of exposures with molecular phenotypes of tumors., (©2020 American Association for Cancer Research.)

Background: Engaging socioeconomically disadvantaged populations in health research is vital to understanding and, ultimately, eliminating health-related disparities. Digital communication channels are increasingly used to recruit study participants, and recent trends indicate a growing need to partner with the social service sector to improve population health. However, few studies have recruited participants from social service settings using multiple digital channels., Objective: This study aimed to recruit and survey 3791 adult clients of a social service organization via telephone and digital channels. This paper aimed to describe recruitment outcomes across five channels and compare participant characteristics by recruitment channel type., Methods: The Cancer Communication Channels in Context Study recruited and surveyed adult clients of 2-1-1, a social service-focused information and referral system, using five channels: telephone, website, text message, web-based live chat, and email. Participants completed surveys administered either by phone (if recruited by phone) or on the web (if recruited from digital channels, ie, website, text message, Web-based live chat, or email). Measures for the current analysis included demographic and health characteristics., Results: A total of 3293 participants were recruited, with 1907 recruited by phone and 1386 recruited from digital channels. Those recruited by phone had a moderate study eligibility rate (42.23%) and the highest survey completion rate (91.24%) of all channels. Individuals recruited by text message had a high study eligibility rate (94.14%) yet the lowest survey completion rate (74.0%) of all channels. Sample accrual goals were achieved for phone, text message, and website recruitment. Multivariable analyses found differences in participant characteristics by recruitment channel type. Compared with participants recruited by phone, those recruited from digital channels were younger (adjusted odds ratio [aOR] 0.96, 95% CI 0.96-0.97) and more likely to be female (aOR 1.52, 95% CI 1.23-1.88), married (aOR 1.52, 95% CI 1.22-1.89), and other than non-Hispanic black (aOR 1.48, 95% CI 1.22-1.79). Those recruited via phone also were more likely to have more than a high school education (aOR 2.17, 95% CI 1.67-2.82), have a household income ≥US $25,000 a year (aOR 2.02, 95% CI 1.56-2.61), and have children living in the home (aOR 1.26, 95% CI 1.06-1.51). Additionally, participants recruited from digital channels were less likely than those recruited by phone to have public health insurance (aOR 0.75, 95% CI 0.62-0.90) and more likely to report better overall health (aOR 1.52, 95% CI 1.27-1.83 for good-to-excellent health)., Conclusions: Findings indicate the feasibility and utility of recruiting socioeconomically disadvantaged adults from the social service sector using multiple communication channels, including digital channels. As social service-based health research evolves, strategic recruitment using a combination of traditional and digital channels may be warranted to avoid underrepresentation of highly medically vulnerable individuals, which could exacerbate disparities in health., (©Kassandra I Alcaraz, Rhyan N Vereen, Donna Burnham. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 01.04.2020.)

The emerging era of precision medicine (PM) holds great promise for patient care by considering individual, environmental, and lifestyle factors to optimize treatment. Context is centrally important to PM, yet, to date, little attention has been given to the unique context of religion and spirituality (R/S) and their applicability to PM. R/S can support and reinforce health beliefs and behaviors that affect health outcomes. The purpose of this article is to discuss how R/S can be considered in PM at multiple levels of context and recommend strategies for integrating R/S in PM. We conducted a descriptive, integrative literature review of R/S at the individual, institutional, and societal levels, with the aim of focusing on R/S factors with a high level of salience to PM. We discuss the utility of considering R/S in the suitability and uptake of PM prevention and treatment strategies by providing specific examples of how R/S influences health beliefs and practices at each level. We also propose future directions in research and practice to foster greater understanding and integration of R/S to enhance the acceptability and patient responsiveness of PM research approaches and clinical practices. Elucidating the context of R/S and its value to PM can advance efforts toward a more whole-person and patient-centered approach to improve individual and population health., (© Society of Behavioral Medicine 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Smoking behavior may be influenced by perceived trust of information from tobacco and e-cigarette companies about their products. The purpose of this study was to identify sociodemographic subgroups with more trust in tobacco product (tobacco and e-cigarette) companies than health professionals and explore associations between this relative trust and tobacco product use.Health Information National Trends Survey (HINTS 4, FDA Cycle) data were analyzed ( N = 3,738). Two relative trust measures were developed identifying respondents who trust tobacco companies or e-cigarette companies as much as or more than health professionals for information about the health effects of tobacco products or e-cigarettes versus those who place more trust in health professionals. Dependent variables were smoking status (current, former, never) and e-cigarette use (ever, never). Bivariate analyses and multivariable logistic regressions were conducted in SAS 9.4 using jackknife replicate weights.Respondents who trusted tobacco or e-cigarette companies as much as or more than health professionals were disproportionately from racial/ethnic minority groups or had low levels of income or education (all p < 0.05). Relative trust was not associated with smoking status. After controlling for demographics, respondents who trusted e-cigarette companies as much as or more than health professionals had 87% greater odds (95% CI: 1.16, 3.00) of e-cigarette use, compared to respondents who placed higher trust in health professionals.Findings suggest that population subgroups with greater trust in e-cigarette companies relative to health professionals are more prone to e-cigarette use. Targeted communication strategies may be needed for underserved populations and to counter messaging from e-cigarette companies.

Although cancer mortality rates declined in the United States in recent decades, some populations experienced little benefit from advances in cancer prevention, early detection, treatment, and survivorship care. In fact, some cancer disparities between populations of low and high socioeconomic status widened during this period. Many potentially preventable cancer deaths continue to occur, and disadvantaged populations bear a disproportionate burden. Reducing the burden of cancer and eliminating cancer-related disparities will require more focused and coordinated action across multiple sectors and in partnership with communities. This article, part of the American Cancer Society's Cancer Control Blueprint series, introduces a framework for understanding and addressing social determinants to advance cancer health equity and presents actionable recommendations for practice, research, and policy. The article aims to accelerate progress toward eliminating disparities in cancer and achieving health equity., (© 2019 American Cancer Society.)

Background: Existing research indicates that religion, spirituality, or both are important to the quality of life of patients with cancer. The current study is the first to characterize trajectories of spiritual well-being (SWB) over time and to identify their predictors in a large, diverse sample of long-term cancer survivors., Methods: The participants were 2365 cancer survivors representing 10 cancer diagnoses from the American Cancer Society's Studies of Cancer Survivors-I, and they were assessed at 3 time points: 1, 2, and 9 years after their diagnosis. SWB was assessed with the 3 subscales of the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being (FACIT-Sp; ie, Meaning, Peace, and Faith). Predictors included demographic, medical, and psychosocial variables. Latent growth mixture modeling was used to identify trajectories and test their predictors., Results: Four distinct trajectories of SWB were identified for each of the FACIT-Sp subscales: stable-high (45%-61% of the sample, depending on the subscale), stable-moderate (23%-33%), stable-low (7%-16%), and declining (6%-10%). Significant predictors of these trajectories included age, sex, race, education, comorbidities, symptom burden, social support, and optimism, but not always in the hypothesized direction. For some of the subscale trajectories, a recurrence of cancer, multiple cancers, or metastatic cancer was associated with lower SWB., Conclusions: This is the first study to establish the existence and predictors of heterogeneous trajectories of SWB in long-term survivors of cancer. Because SWB is an important component of quality of life, the current results indicate characteristics of persons who could be at greater risk for a decline or consistently low scores in SWB and may warrant clinical attention., (© 2019 American Cancer Society.)

Background: An emphasis on precision health (PH) has stimulated precision medicine studies to focus on the interplay of biological, behavioral, and environmental factors with disease risks, treatments, prognoses, and outcomes affecting health disparities. It is imperative, as well, that improving health equity among underserved populations remains central to the efforts and aims of PH., Objectives: The aim if this study was to apply the transdisciplinary ConNECT Framework: A Model for Advancing Behavioral Medicine Science and Practice to Foster Health Equity to PH by integrating a population health agenda for reducing health disparities., Methods: There are five ConNECT principles: (a) integrating context; (b) fostering a norm of inclusion; (c) ensuring equitable diffusion of innovations; (d) harnessing communication technology; and (e) prioritizing specialized training as an organizing framework to PH, including examples of how to integrate behavioral and socioecological determinants to better understand the contexts of individuals, systems, and place to design targeted treatments and interventions., Results: We describe proactive, actionable strategies for the systematic application of ConNECT Framework principles to address health equity via the PH initiative. Context and implications for nursing research and practice are also described., Discussion: The ConNECT Framework emphasizes that diversity inclusion is imperative for true population health benefit from PH, broadly in public health, behavioral medicine, medicine, and nursing, to equip health researchers and practitioners to account for contextual socioecologic data that can be aligned with biologic data for more population responsive and individually tailored interventions to prevent, diagnose, and treat diseases.

Social isolation is associated with higher mortality in studies comprising mostly white adults, yet associations among black adults are unclear. In this prospective cohort study, we evaluated whether associations of social isolation with all-cause, cardiovascular disease, and cancer mortality differed by race and sex. Adults enrolled in Cancer Prevention Study II in 1982/1983 were followed for mortality through 2012 (n = 580,182). Sex- and race-specific multivariable-adjusted hazard ratios and 95% confidence intervals were estimated for associations of a 5-point social isolation score with risk of death. Social isolation was associated with all-cause mortality in all subgroups (P for trend ≤ 0.005); for the most isolated versus the least isolated, the hazard ratios were 2.34 (95% confidence interval (CI): 1.58, 3.46) and 1.60 (95% CI: 1.41, 1.82) among black men and white men, respectively (P for interaction = 0.40) and 2.13 (95% CI: 1.44, 3.15) and 1.84 (95% CI: 1.68, 2.01) among black women and white women, respectively (P for interaction = 0.89). The association did not differ between black men and black women (P for interaction = 0.33) but was slightly stronger in white women than in white men (P for interaction = 0.01). Social isolation was associated with cardiovascular disease mortality in each subgroup (P for trend < 0.03) but with cancer mortality only among whites (P for trend < 0.0001). Subgroup differences in the influence of specific social isolation components were identified. Identifying and intervening with socially isolated adults could improve health outcomes.

Cancer care delivery is being shaped by growing numbers of cancer survivors coupled with provider shortages, rising costs of primary treatment and follow-up care, significant survivorship health disparities, increased reliance on informal caregivers, and the transition to value-based care. These factors create a compelling need to provide coordinated, comprehensive, personalized care for cancer survivors in ways that meet survivors' and caregivers' unique needs while minimizing the impact of provider shortages and controlling costs for health care systems, survivors, and families. The authors reviewed research identifying and addressing the needs of cancer survivors and caregivers and used this synthesis to create a set of critical priorities for care delivery, research, education, and policy to equitably improve survivor outcomes and support caregivers. Efforts are needed in 3 priority areas: 1) implementing routine assessment of survivors' needs and functioning and caregivers' needs; 2) facilitating personalized, tailored, information and referrals from diagnosis onward for both survivors and caregivers, shifting services from point of care to point of need wherever possible; and 3) disseminating and supporting the implementation of new care methods and interventions., (© 2019 American Cancer Society.)

Objective: Although cancer survival rates continue to improve, overall disparities persist for ethnic minority survivors, who have a disproportionately high risk of experiencing poor quality of life, despite documented higher levels of self-reported spirituality. Yet little is known about the relationship between spirituality and social support and health outcomes among Hispanic survivors. This study examined (1) differences between Hispanic and non-Hispanic white survivors on health, social support, and spirituality and (2) the potential mediating roles of mental health and emotional distress on general health perceptions., Methods: We analyzed data (N = 7778) from the American Cancer Society's Study of Cancer Survivors-II, a national cross-sectional study of adult cancer survivors. Preliminary analysis compared sociodemographic and medical characteristics between the 2 groups to identify significant covariates. Structural equation modeling assessed whether mental health and emotional distress mediate the impact of social support and spirituality on Hispanics' general health perceptions., Results: Overall, 693 survivors were Hispanic and 7085 were non-Hispanic whites. Hispanics reported poorer health and were more likely to have comorbid conditions such as diabetes and depression compared with non-Hispanic whites. Structural equation modeling indicated that the impact of spirituality on general health perceptions was fully mediated through mental health. Emotional distress did not have a direct effect on general health perceptions nor did it mediate effects of spirituality and social support and on general health perceptions. There was a mediated effect of social support on general health perceptions., Conclusions: Spirituality is an important factor in the health of Hispanic survivors. Future studies should explore the impact and effectiveness of spiritual interventions and the beneficial effect for mental health on general health perceptions., (© 2018 John Wiley & Sons, Ltd.)

Objective: Effective smoking cessation interventions are needed to reduce tobacco-related disparities. Communication technology-based interventions are increasingly being employed to help smokers quit, with controlled research demonstrating efficacy of text messaging and email in increasing abstinence. Understanding preferences for such strategies among socioeconomically disadvantaged smokers can inform targeted intervention planning. The aims of this study were to: 1) examine socioeconomically disadvantaged smokers' use of and access to communication technology; and 2) elucidate preferences for receiving quitting information and support via email and text message., Design: This cross-sectional, mixed-methods study collected data from a self-administered survey and focus groups in September 2017., Participants: A community-based, sample of 15 predominantly African American, socioeconomically disadvantaged smokers aged 21-64 years., Results: Smartphone ownership was high, although use of communication-based cessation resources such as web sites and smartphone apps was low. Four themes emerged relevant to preferences for receiving quitting information and support via email and text message: access, appropriateness, intended use, and satisfaction. Although initially participants were mixed in their preferences for receiving emails vs texts, 80% preferred emails over texts when presented with sample emails and text messages containing cessation information., Conclusions: In this sample of socioeconomically disadvantaged smokers, emails were preferred over text messages for smoking cessation assistance. Although both email and text message strategies may be acceptable to socioeconomically disadvantaged smokers generally, issues such as access and intended use should be considered to inform specific disparity-reducing intervention approaches., Competing Interests: Competing Interests: None declared.

Health disparities persist despite ongoing efforts. Given the United States' rapidly changing demography and socio-cultural diversity, a paradigm shift in behavioral medicine is needed to advance research and interventions focused on health equity. This paper introduces the ConNECT Framework as a model to link the sciences of behavioral medicine and health equity with the goal of achieving equitable health and outcomes in the twenty-first century. We first evaluate the state of health equity efforts in behavioral medicine science and identify key opportunities to advance the field. We then discuss and present actionable recommendations related to ConNECT's five broad and synergistic principles: (1) Integrating Context; (2) Fostering a Norm of Inclusion; (3) Ensuring Equitable Diffusion of Innovations; (4) Harnessing Communication Technology; and (5) Prioritizing Specialized Training. The framework holds significant promise for furthering health equity and ushering in a new and refreshing era of behavioral medicine science and practice., Competing Interests: Kassandra I. Alcaraz, Jamilia Sly, Kimlin Ashing, Linda Fleisher, Virginia Gil-Rivas, Sabrina Ford, Jean C. Yi, Qian Lu, Cathy D. Meade, Usha Menon, and Clement K. Gwede declare that they do not have any conflict of interest.

Objective: Research has increasingly documented sociodemographic inequalities in the assessment and management of cancer-related pain. Most studies have focused on racial/ethnic disparities, while less is known about the impact of other sociodemographic factors, including age and education. We analyzed data from a large, national, population-based study of cancer survivors to examine the influence of sociodemographic factors, and physical and mental health comorbidities on barriers to cancer pain management., Methods: The study included data from 4707 cancer survivors in the American Cancer Society's Study of Cancer Survivors-II, who reported experiencing pain from their cancer. A multilevel, socioecological, conceptual framework was used to generate a list of 15 barriers to pain management, representing patient, provider, and system levels. Separate multivariable logistic regressions for each barrier identified sociodemographic and health-related inequalities in cancer pain management, controlling for years since diagnosis, disease stage, and cancer treatment., Results: Two-thirds of survivors reported at least 1 barrier to pain management. While patient-related barriers were most common, the greatest disparities were noted in provider- and system-level barriers. Specifically, inequalities by race/ethnicity, education, age, and physical and mental health comorbidities were observed., Conclusion: Findings indicate survivors who were nonwhite, less educated, older, and/or burdened by comorbidities were most adversely affected. Future efforts in research, clinical practice, and policy should identify and/or implement new strategies to address sociodemographic inequalities in cancer pain management., (Copyright © 2016 John Wiley & Sons, Ltd.)

In this article, the American Cancer Society provides the estimated number of new cancer cases and deaths for blacks in the United States and the most recent data on cancer incidence, mortality, survival, screening, and risk factors for cancer. Incidence data are from the National Cancer Institute, the Centers for Disease Control and Prevention, and the North American Association of Central Cancer Registries, and mortality data are from the National Center for Health Statistics. Approximately 189,910 new cases of cancer and 69,410 cancer deaths will occur among blacks in 2016. Although blacks continue to have higher cancer death rates than whites, the disparity has narrowed for all cancers combined in men and women and for lung and prostate cancers in men. In contrast, the racial gap in death rates has widened for breast cancer in women and remained level for colorectal cancer in men. The reduction in overall cancer death rates since the early 1990s translates to the avoidance of more than 300,000 deaths among blacks. In men, incidence rates from 2003 to 2012 decreased for all cancers combined (by 2.0% per year) as well as for the top 3 cancer sites (prostate, lung, and colorectal). In women, overall rates during the corresponding time period remained unchanged, reflecting increasing trends in breast cancer combined with decreasing trends in lung and colorectal cancer rates. Five-year relative survival is lower for blacks than whites for most cancers at each stage of diagnosis. The extent to which these disparities reflect unequal access to health care versus other factors remains an active area of research. Progress in reducing cancer death rates could be accelerated by ensuring equitable access to prevention, early detection, and high-quality treatment. CA Cancer J Clin 2016;66:290-308. © 2016 American Cancer Society., (© 2016 American Cancer Society, Inc.)

Objective: Quitting smoking is important for cancer prognosis, but some cancer survivors continue to smoke. This study examined psychological correlates of smoking status and patterns, likelihood of quitting, and intentions to quit among long-term survivors., Methods: Cross-sectional relationships between psychological constructs from health behavior theories (e.g., perceived risk, quitting barriers) and smoking and cessation-related behavior were examined among survivors of 10 cancers. Survivors were recruited by stratified random sampling from cancer registries in a nationwide, longitudinal, quality-of-life study (n=2938)., Results: Approximately 9 years post-diagnosis, survivors who currently smoke (compared with those who quit before or after diagnosis) perceived health problems caused by smoking as less severe, perceived fewer benefits of quitting for cancer survivors, greater barriers to quitting, and reported more daily exposure to others' smoking. Survivors intending to quit (vs. those not intending or unsure) perceived greater risks of smoking for cancer prognosis, more severe health effects from smoking, fewer benefits of smoking, and greater social pressure to quit. Nondaily smokers had higher levels of self-efficacy and less exposure to others' smoking compared to daily smokers., Conclusions: Long-term cancer survivors' perceptions of the risks of smoking for cancer prognosis, the severity of health problems from smoking, cessation barriers, and the benefits of quitting are appropriate targets for interventions for continuing smokers. Nondaily smokers may be especially amenable to intervention. Survivors' daily exposure to others' smoking should also be addressed in treatment. Copyright © 2015 John Wiley & Sons, Ltd., (Copyright © 2015 John Wiley & Sons, Ltd.)

Objective: African American (AA) cancer survivors report poorer self-rated health (SRH) compared to other racial/ethnic groups. Spirituality is often linked to positive health outcomes, with AAs reporting greater levels of spirituality. This study examined the potential mediating role of cancer-related problems in the relationship between spirituality and SRH among AA cancer survivors compared to non-African American (non-AA) survivors., Methods: We analyzed data on 9006 adult cancer survivors from the American Cancer Society's Study of Cancer Survivors-II. Preliminary analyses compared characteristics of AAs and non-AAs and identified significant covariates of SRH. We tested a path model using multi-group structural equation modeling (SEM), and then examined race as a moderator., Results: Of the three domains of spirituality assessed, AAs had higher levels of peace (p < .001) and faith (p < .001), but not meaning, compared to non-AAs; and of four domains of cancer-related problems assessed, AAs had greater physical distress (p < .001), emotional distress (p < .001), and employment/finance problems (p < .001), but not fear of recurrence. In SEM analyses adjusting for number of comorbidities and income, race moderated the impact of spirituality and cancer-related problems on SRH. Specifically, spirituality had significantly stronger associations with cancer-related problems among AAs than non-AAs. Spirituality was positively associated with all four domains of cancer-related problems, but only physical distress was associated with SRH among AAs., Conclusions: The negative effects of physical distress may attenuate the positive effects of spirituality on AA's SRH. Future studies should consider racial/ethnic differences in the determinants and conceptualization of SRH, which is a known predictor of survival., (Copyright © 2014 John Wiley & Sons, Ltd.)

Background: Smoking is detrimental to recovery and survival from cancer, but many cancer survivors continue to smoke. Information is lacking on smoking patterns of survivors many years after diagnosis and correlates of smoking status and patterns, likelihood of quitting, and intentions to quit., Methods: Cross-sectional analyses were conducted among survivors of 10 cancers recruited by stratified random sampling from cancer registries in a nationwide, longitudinal, quality-of-life study (n = 2,938)., Results: Approximately 9 years after diagnosis, 9.3% of all survivors were current (past 30-day) smokers. Smoking prevalence was highest among survivors of bladder (17.2%), lung (14.9%), and ovarian (11.6%) cancers. Most current smokers (83%) smoked daily, averaging 14.7 cigarettes per day (cpd). Forty percent of daily smokers smoked more than 15 cpd. Nondaily smokers smoked a mean of 10.9 days in the last 30 days and averaged 5.7 cpd on smoking days. Current smoking was associated with younger age, lower education and income, and greater alcohol consumption. Quitting after diagnosis was associated with having a smoking-related cancer. Roughly, a third of current smokers intended to quit, 40% within the next month. The odds of intending to quit were lower if survivors were married, older, or smoked more., Conclusions: This population-based study indicated that smoking can persist long after initial diagnosis and at high levels and identified characteristics associated with quitting and intentions to quit., Impact: Findings can be used to identify survivors most at risk for continued smoking and to inform tailoring of cessation treatments for survivors., (©2014 American Association for Cancer Research.)

Context: Implementing the Affordable Care Act (ACA) in 2014 will require effective enrollment and outreach efforts to previously uninsured individuals now eligible for coverage., Methods: From 1996 to 2013, the Health Communication Research Laboratory conducted more than 40 original studies with more than 30,000 participants to learn how to improve the reach to and effectiveness of health information for low-income and racial/ethnic minority populations. We synthesized the findings from this body of research and used them to inform current challenges in implementing the ACA., Findings: We found empirical support for 5 recommendations regarding partnerships, outreach, messages and messengers, life priorities of low-income individuals and families, and the information environment. We translated these into 12 action steps., Conclusions: Health communication science can inform the development and execution of strategies to increase the public's understanding of the ACA and to support the enrollment of eligible individuals into Medicaid or the Health Insurance Marketplace., (© 2014 Milbank Memorial Fund.)

Background: Callers to 2-1-1 have greater need for and lesser use of cancer control services than other Americans. Integrating cancer risk assessment and referrals to preventive services into 2-1-1 systems is both feasible and acceptable to callers., Purpose: To determine whether callers will act on these referrals., Methods: In a randomized trial, 2-1-1 callers (n=1200) received standard service and those with at least one cancer risk factor or need for screening were assigned to receive verbal referrals only, verbal referrals + a tailored reminder mailed to their home, or verbal referrals + a telephone health coach/navigator. All data were collected from June 2010 to March 2012 and analyzed in March and April 2012., Results: At 1-month follow-up, callers in the navigator condition were more likely to report having contacted a cancer control referral than those receiving tailored reminders or verbal referrals only (34% vs 24% vs 18%, respectively; n=772, p<0.0001). Compared to verbal referrals only, navigators were particularly effective in getting 2-1-1 callers to contact providers for mammograms (OR=2.10, 95% CI=1.04, 4.22); Paps (OR=2.98, 95% CI=1.18, 7.54); and smoking cessation (OR=2.07, 95% CI=1.14, 3.74)., Conclusions: Given the extensive reach of 2-1-1s and the elevated risk profile of their callers, even modest response rates could have meaningful impact on population health if proactive health referrals were implemented nationally., (Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: In times of crises, 2-1-1 serves as a lifeline in many ways. These crises often cause a spike in call volume that can challenge 2-1-1's ability to meet its service quality standards. For researchers gathering data through 2-1-1s, a sudden increase in call volume might reduce accrual as 2-1-1 has less time to administer study protocols. Research activities imbedded in 2-1-1 systems may affect directly 2-1-1 service quality indicators., Purpose: Using data from a 2-1-1 research collaboration, this paper examines the impact of crises on call volume to 2-1-1, how call volume affects research participant accrual through 2-1-1, and how research recruitment efforts affect 2-1-1 service quality indicators., Methods: t-tests were used to examine the effect of call volume on research participant accrual. Linear and logistic regressions were used to examine the effect of research participant accrual on 2-1-1 service quality indicators. Data were collected June 2010-December 2011; data were analyzed in 2012., Results: Findings from this collaboration suggest that crises causing spikes in call volume adversely affect 2-1-1 service quality indicators as well as accrual of research participants. Administering a brief (2-3 minute) health risk assessment did not affect service quality negatively, but administering a longer (15-18 minute) survey had a modest adverse effect on these indicators., Conclusions: In 2-1-1 research collaborations, both partners need to understand the dynamic relationship among call volume, research accrual, and service quality and adjust expectations accordingly. If research goals include administering a longer survey, increased staffing of 2-1-1 call centers may be needed to avoid compromising service quality., (Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Delivering health information and referrals through 2-1-1 is promising, but these systems need efficient ways of identifying callers at increased risk., Purpose: This study explores the utility of using 2-1-1 service request data to predict callers' cancer control needs., Methods: Using data from a large sample of callers (N=4101) to United Way 2-1-1 Missouri, logistic regression was used to examine the relationship between caller demographics and type of service request, and cancer control needs., Results: Of six types of service requests examined, three were associated with one or more cancer control needs. Two of the service request types were associated also with health insurance status., Conclusions: Findings suggest routinely collected 2-1-1 service request data may be useful in helping to efficiently identify callers with specific cancer prevention and control needs. However, to apply this approach in 2-1-1 systems across the country, further research and ongoing surveillance is necessary., (Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: Examine the longitudinal effects of personal narratives about mammography and breast cancer compared with a traditional informational approach., Methods: African American women (n = 489) ages 40 and older were recruited from low-income neighborhoods in St. Louis, Missouri, and randomized to watch a narrative video comprised of stories from African American breast cancer survivors or a content-equivalent informational video. Effects were measured immediately postexposure (T2) and at 3- (T3) and 6-month (T4) follow-up. T2 measures of initial reaction included positive and negative affect, trust, identification, and engagement. T3 message-processing variables included arguing against the messages (counterarguing) and talking to family members about the information (cognitive rehearsal). T4 behavioral correlates included perceived breast cancer risk, cancer fear, cancer fatalism, perceived barriers to mammography, and recall of core messages. Structural equation modeling examined interrelations among constructs., Results: Women who watched the narrative video (n = 244) compared to the informational video (n = 245) experienced more positive and negative affect, identified more with the message source, and were more engaged with the video. Narratives, negative affect, identification, and engagement influenced counterarguing, which, in turn, influenced perceived barriers and cancer fatalism. More engaged women talked with family members more, which increased message recall. Narratives also increased risk perceptions and fear via increased negative affect., Conclusions: Narratives produced stronger cognitive and affective responses immediately, which, in turn, influenced message processing and behavioral correlates. Narratives reduced counterarguing and increased cognitive rehearsal, which may increase acceptance and motivation to act on health information in populations most adversely affected by cancer disparities., (PsycINFO Database Record (c) 2011 APA, all rights reserved.)

The Neighborhood Voice is a vehicle customized for conducting health research in community settings. It brings research studies into neighborhoods affected most by health disparities and reaches groups often underrepresented in research samples. This paper reports on the experience and satisfaction of 599 African American women who participated in research on board the Neighborhood Voice. Using bivariate, psychometric, and logistic regression analyses, we examined responses to a brief post-research survey. Most women (71%) reported that they had never previously participated in research, and two-thirds (68%) rated their Neighborhood Voice experience as excellent. Satisfaction scores were highest among first-time research participants (p < .05). Women's ratings of the Neighborhood Voice on Comfort (OR = 4.9; 95% CI = 3.0, 7.9) and Convenience (OR = 1.8; 95% CI = 1.2, 2.9) significantly predicted having an excellent experience. Mobile research facilities may increase participation among disadvantaged and minority populations. Our brief survey instrument is a model for evaluating such outreach.

Objective: Rarely have Geographic Information Systems (GIS) been used to inform community-based outreach and intervention planning. This study sought to identify community settings most likely to reach individuals from geographically localized areas., Method: An observational study conducted in an urban city in Missouri during 2003-2007 placed computerized breast cancer education kiosks in seven types of community settings: beauty salons, churches, health fairs, neighborhood health centers, Laundromats, public libraries and social service agencies. We used GIS to measure distance between kiosk users' (n=7297) home ZIP codes and the location where they used the kiosk. Mean distances were compared across settings., Results: Mean distance between individuals' home ZIP codes and the location where they used the kiosk varied significantly (p<0.001) across settings. The distance was shortest among kiosk users in Laundromats (2.3 mi) and public libraries (2.8 mi) and greatest among kiosk users at health fairs (7.6 mi)., Conclusion: Some community settings are more likely than others to reach highly localized populations. A better understanding of how and where to reach specific populations can complement the progress already being made in identifying populations at increased disease risk.