Structural Racism as a Contributor to Lung Cancer Incidence and Mortality Rates Among Black Populations in the United States.

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.

Equity and behavioral digital health interventions: Strategies to improve benefit and reach.

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.

Behavioral digital health interventions have great potential to improve health. Unfortunately, many groups (e.g., people with low-income levels, people who are geographically isolated, older adults) may face significant obstacles to technology access, adoption and use. Additionally, 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. This commentary introduces the 5-point framework: Partner, Identify, Demonstrate, Access, Report (PIDAR) to be used in the development, testing and implementation of technology to avoid creating or worsening health inequities.

Assessing the impact of religious resources and struggle on well-being: a report from the American Cancer Society's Study of Cancer Survivors-I.

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.

Interventions to promote health equity: implications for implementation science in behavioral medicine.

Disparities in health persist despite the development of innovative and effective behavioral interventions. Both behavioral medicine and implementation science are vital to improving health care and health outcomes, and both can play a critical role in advancing health equity. However, to eliminate health disparities, more research in these areas is needed to ensure disparity-reducing behavioral interventions are continually developed and implemented. This special issue on interventions to promote health equity presents a diverse set of articles focused on implementing behavioral interventions to reduce health disparities. The current article summarizes the special issue and identifies key themes and future considerations. Articles in this special issue report on behavioral medicine intervention studies (including those examining aspects of implementation) as well as implementation science studies with implications for behavioral medicine. Articles discuss community-, provider-, and system-level interventions; implementation processes; and barriers and facilitators to implementation. Also included are commentaries calling for greater prioritization of behavioral medicine and implementation research. As evidenced in this special issue, behavioral medicine is primed to lead the implementation of behavioral interventions in historically marginalized and minoritized populations to advance health equity and improve overall population health.

More behavioral medicine and implementation research is needed to reduce disparities in health. This special issue of Translational Behavioral Medicine includes articles focused on interventions to promote health equity. This article summarizes the special issue and identifies key themes and future considerations.

Cancer disparities in the context of rurality: risk factors and screening across various U.S. rural classification codes.

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 ptrend < 0.03), while colorectal, cervical and breast cancer screening decreased (all ptrend < 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.

Association between Smoking Cannabis and Quitting Cigarettes in a Large American Cancer Society Cohort.

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.

Impact of caregivers' negative response to cancer on long-term survivors' quality of life.

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.

Addressing inequities in COVID-19 morbidity and mortality: research and policy recommendations.

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.

Use of Telephone and Digital Channels to Engage Socioeconomically Disadvantaged Adults in Health Disparities Research Within a Social Service Setting: Cross-Sectional Study.

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.

Examining the impact of cancer on survivors' religious faith: A report from the American Cancer Society study of cancer survivors-I.

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.

Prospective Association of Energy Balance Scores Based on Metabolic Biomarkers with Colorectal Cancer Risk.

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 A1c (HbA1c) 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 HbA1c+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 HbA1c-based score was 1.35 (1.19-1.52). The latter score was associated with non-CIMP tumors (HRQ4vsQ1: 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.

Trust of Information about Tobacco and E-Cigarettes from Health Professionals versus Tobacco or Electronic Cigarette Companies: Differences by Subgroups and Implications for Tobacco Messaging.

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.

Considering religion and spirituality in precision medicine.

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.

Understanding and addressing social determinants to advance cancer health equity in the United States: A blueprint for practice, research, and policy.

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.

Trajectories of spiritual well-being in long-term survivors of cancer: A report from the American Cancer Society's Studies of Cancer Survivors-I.

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.

Equitably improving outcomes for cancer survivors and supporting caregivers: A blueprint for care delivery, research, education, and policy.

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.

Social Isolation and Mortality in US Black and White Men and Women.

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.

Application of the ConNECT Framework to Precision Health and Health Disparities.

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.

To Text or Not to Text? Technology-based Cessation Communication Preferences among Urban, Socioeconomically Disadvantaged Smokers.

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.