Exposure to persistent organic pollutants in newborn dried blood spots and childhood acute myeloid leukemia.

Acute myeloid leukemia (AML) is a rare malignancy representing 15-20% of all leukemia diagnoses among children. Maternal exposure to persistent organic pollutants is suggestive of increased risk for childhood AML based on existing evidence. We aimed to evaluate the relationship between persistent organic pollutants and childhood AML using newborn dried bloodspots (DBS) from the Michigan BioTrust for Health. We obtained data on AML cases diagnosed prior to 15 years of age (n = 130) and controls (n = 130) matched to cases on week of birth from the Michigan Department of Health and Human Services. We quantified levels of dichlorodiphenyldichloroethylene (p,p'-DDE), hexachlorobenzene (HCB), and polybrominated diphenyl ether congener 47 (BDE-47) in newborn DBS. We also evaluated other organochlorine pesticides, polychlorinated biphenyls, polybrominated biphenyl congener 153, and polybrominated diphenyl ethers, though these were not further evaluated as >60% of observations were above the limit of detection for these chemicals. To evaluate the association between each chemical and AML, we used multivariable conditional logistic regression. In our multivariable model of HCB adjusted for month of birth, maternal age at delivery, and area poverty, we observed no association with AML (Odds Ratio [OR] per interquartile range increase: 1.17, 95% CI: 0.80, 1.69). For p,p'-DDE, ORs were significantly lower for those exposed to the highest tertile of p,'p-DDE (≥0.29 pg/mL, OR: 0.32, 95% CI: 0.11, 0.95) compared to the first tertile (<0.09 pg/mL). We observed no statistically significant associations between HCB and BDE-47 and AML. We observed a reduced odds of exposure to p,'p-DDE and an increased, though imprecise, odds of exposure to HCB among AML cases compared to controls. Future studies would benefit from a larger sample of AML patients and pooling newborn DBS across multiple states to allow for additional variability in exposures and evaluation of AML subtypes, which may have differing etiology.

Investigating Cannabis-Use Among Students Attending High Schools Within the Cherokee Nation Reservation 2017 and 2019.

Oklahoma's medical cannabis is some of the least restrictive in the US. Previous research suggests that American Indian/Alaska Native (AIAN) have higher rates of cannabis use than other racial or ethnic groups. The goals of this paper are, first, to look at cannabis use among high school students living on the Cherokee Nation Reservation before (2017) and after (2019) medical cannabis because legal in Oklahoma (2018) utilizing the Cherokee Nation Youth Risk Behavior Survey (CNYRBS). Second, to describe the socio-demographic characteristics of youth using cannabis in the Cherokee Nation Reservation. Data were retrieved from the 2017 and 2019 CNYRBS. The data for this study included 1,216 high school students who completed the 2017 and 1,476 who completed the 2019 CNYRBS. After removal of incomplete records, there were 2,602 students whose data was analyzed in this study. Data were weighted to be representative of public-school students attending grades 9-12 within Cherokee Nation Reservation. Despite the legalization of medical cannabis in Oklahoma in 2018, there was no change in cannabis use among youth between 2017 and 2019. There were variations in cannabis use based on demographic factors and other substance uses. AIAN individuals had higher odds of current cannabis use compared to non-Hispanic White students, but there were no differences based on ethnicity. Additionally, the use of cigarettes, e-cigarettes, alcohol, and illegal drugs were associated with increased odds of cannabis use among both current and former users compared to those who had never used it. There was no spike in use among youth at least immediately after the legalization of cannabis in the Cherokee Nation Reservation. There were socio-demographic as well as substance use disparities in the use of cannabis.

Changes in alcohol consumption and binge drinking during the COVID-19 pandemic among American Indians residing in California and Oklahoma.

Background: This study explored the increased quantity and frequency of alcohol use in the American Indian (AI) population during the COVID-19 pandemic.Objectives: The aims of this study were to explore possible associations between covariables and both binge drinking and alcohol consumption during COVID-19.Methods: This cross-sectional survey study analyzed data from a sample of AI individuals (63% female) residing in California (n = 411) and Oklahoma (n = 657) between October 2020-January 2021. Analysis included summary statistics and multivariable logistic regression, including a variety of socio-economic, COVID-19 concern, and tobacco and marijuana use variables.Results: One or more alcohol binge episodes were reported between October 2020-January 2021 in 19.3% of participants and elevated overall alcohol consumption was reported by 21.6% of participants. Higher odds of elevated alcohol consumption occurred in women and those following more social distancing measures. The odds of binge drinking or elevated alcohol consumption in those using both marijuana and tobacco (aOR/ adjusted odds ratio:18.9, 95% CI = 8.5, 42.2, and aOR:3.9, 95% CI = 1.7, 8.6, respectively) were higher compared to those using neither. Similarly, the odds of binge drinking or elevated alcohol consumption in those using tobacco only (aOR:4.7, 95% CI = 2.9, 7.7 and aOR: 2.0, 95% CI = 1.1, 3.5, respectively) were higher compared to those using neither.Conclusions: This study found high rates of alcohol use and bingeing during the COVID-19 pandemic. Offering collaborative, culturally sensitive, and affordable support services are important components of intervention and preparation for future stressful events on local, as well as global levels.

Cannabis use among cancer survivors in 22 states: Results from the Behavioral Risk Factor Surveillance System, 2020.

BACKGROUND: This study identified factors associated with recent cannabis use and cannabis use for medical purposes among cancer survivors relative to individuals without a history of cancer. METHODS: Data from the Behavioral Risk Factor Surveillance System were analyzed for the 22 states completing the optional cannabis module in 2020. Weighted multiple logistic regression was performed to explore variables associated with past 30-day cannabis use and cannabis use for medical purposes, stratified by history of cancer. Covariates included state-level cannabis policy, sociodemographic characteristics, health status indicators, and substance use. RESULTS: Cannabis use was lower among cancer survivors compared to individuals with no history of cancer (7.57% vs. 10.83%). However, a higher proportion of cancer survivors reported use for medical purposes (82.23% vs. 62.58%). After adjusting for state-level policy, biological sex, age, educational attainment, self-reported race/ethnicity, home ownership, mental health status and physical health status, current smoking (odds ratio [OR], 5.14 vs. 3.74) and binge drinking (OR, 2.71 vs. 2.69) were associated with cannabis use in both groups. Characteristics associated with medical cannabis use varied for the two groups; however, daily use (20-30 days; OR, 1.72 vs. 2.43) was associated with cannabis use for medical purposes in both groups after adjusting for other variables in the model. CONCLUSIONS: A high proportion of individuals report cannabis use for medical purposes with higher rates among cancer survivors. Findings support the urgent need for ongoing cannabis research to better understand and inform its use for medical purposes, as well as the development of high-quality standardized education materials and clinical practice guidelines.

HPV vaccination coverage and factors among American Indians in Cherokee Nation.

PURPOSE: We estimated human papillomavirus (HPV) vaccine initiation coverage among American Indian adolescents and identified factors associated with HPV vaccination among parents of these adolescents. METHODS: We developed, tested, and disseminated a survey to a random sample of 2,000 parents of American Indian adolescents aged 9-17 years who had accessed Cherokee Nation Health Services from January 2019 to August 2020. We used log-binomial regression to estimate the unadjusted and adjusted weighted prevalence proportion ratios (PPR) and 95% confidence intervals (CI) for adolescent HPV vaccine initiation. RESULTS: HPV vaccine initiation coverage (≥ 1 dose) was 70.7% among adolescents aged 13-17 years. The prevalence of HPV vaccine initiation was higher among American Indian adolescents whose parents were aware of the HPV vaccine (adjusted weighted PPR 3.41; 95% CI 2.80, 4.15) and whose parents received a recommendation from their provider (adjusted weighted PPR 2.70; 95% CI 2.56, 2.84). The most common reasons reported by parents to vaccinate their children were to protect them against HPV-associated cancers (25.7%) and receiving a recommendation from a healthcare provider (25.0%). Parents cited vaccine safety concerns as the main reason for not getting their children vaccinated (33.2%). CONCLUSIONS: HPV vaccine initiation coverage among American Indian adolescents in Cherokee Nation was consistent with the national survey estimates. However, allaying parental concerns about vaccine safety and encouraging providers to recommend the HPV vaccine could improve coverage.

Geographic and social economic disparities in the risk of exposure to ambient air respiratory toxicants at Oklahoma licensed early care and education facilities.

BACKGROUND: Early life exposures to hazardous air pollutants has been associated with adverse asthma-related outcomes. Neighborhood-level social and economic factors play an essential role in the distribution of hazardous air pollutants and children spend a substantial amount of time at early care and education (ECE) facilities. While the indoor air quality of these facilities has been described, particularly for criteria air pollutants such as volatile organic compounds and particulate matter, little is known about the ambient air quality of ECE facilities. OBJECTIVES: We conducted a cross-sectional study to estimate the ambient air quality of Oklahoma licensed ECE facilities and to explore associations between ambient air quality and select geographic predictors. METHODS: We estimated ambient air quality using the total respiratory hazard quotient from the National Air Toxics Assessment according to the geographical location of licensed Oklahoma ECE facilities (N = 3184). We then determined whether urban and rural ECE facilities' air respiratory toxicant exposure risk differed by ECE facilities' neighborhood-level social and economic inequities including: 1) racial-ethnic minority community, 2) neighborhood socioeconomic status, and 3) residential segregation. RESULTS: Urban ECE facilities in Hispanic segregated counties were five times more likely to be at risk of high air respiratory exposure, adjusted for integrated urban counties (p < 0.0001, 95% CI [3.824, 7.699]). Rural ECE facilities in African American segregated counties were nine times more likely to be at risk of high air respiratory toxicant exposure, adjusted for integrated rural counties (p < 0.0001, 95% CI [5.641, 15.928]). CONCLUSION: We found geographically and socially disparate patterns of higher exposures to ambient air respiratory toxicants at Oklahoma ECE facilities. Safer siting policies and interventions are needed to mitigate air respiratory toxicant exposures, which may help to reduce asthma control disparities and improve respiratory health outcomes in Oklahoma ECE facilities.

Improving the representativeness of the tribal behavioral risk factor surveillance system through data integration.

BACKGROUND: Previous literature showed significant health disparities between Native American population and other populations such as Non-Hispanic White. Most existing studies for Native American Health were based on non-probability samples which suffer with selection bias. In this paper, we are the first to evaluate the effectiveness of data integration methods, including calibration and sequential mass imputation, to improve the representativeness of the Tribal Behavioral Risk Factor Surveillance System (TBRFSS) in terms of reducing the biases of the raw estimates. METHODS: We evaluated the benefits of our proposed data integration methods, including calibration and sequential mass imputation, by using the 2019 TBRFSS and the 2018 and 2019 Behavioral Risk Factor Surveillance System (BRFSS). We combined the data from the 2018 and 2019 BRFSS by composite weighting. Demographic variables and general health variables were used as predictors for data integration. The following health-related variables were used for evaluation in terms of biases: Smoking status, Arthritis status, Cardiovascular Disease status, Chronic Obstructive Pulmonary Disease status, Asthma status, Cancer status, Stroke status, Diabetes status, and Health Coverage status. RESULTS: For most health-related variables, data integration methods showed smaller biases compared with unadjusted TBRFSS estimates. After calibration, the demographic and general health variables benchmarked with those for the BRFSS. CONCLUSION: Data integration procedures, including calibration and sequential mass imputation methods, hold promise for improving the representativeness of the TBRFSS.

CATCH-UP vaccines: protocol for a randomized controlled trial using the multiphase optimization strategy (MOST) framework to evaluate education interventions to increase COVID-19 vaccine uptake in Oklahoma.

BACKGROUND: Oklahoma's cumulative COVID-19 incidence is higher in rural than urban counties and higher than the overall US incidence. Furthermore, fewer Oklahomans have received at least one COVID-19 vaccine compared to the US average. Our goal is to conduct a randomized controlled trial using the multiphase optimization strategy (MOST) to test multiple educational interventions to improve uptake of COVID-19 vaccination among underserved populations in Oklahoma. METHODS: Our study uses the preparation and optimization phases of the MOST framework. We conduct focus groups among community partners and community members previously involved in hosting COVID-19 testing events to inform intervention design (preparation). In a randomized clinical trial, we test three interventions to improve vaccination uptake: (1) process improvement (text messages); (2) barrier elicitation and reduction (electronic survey with tailored questions/prompts); and (2) teachable moment messaging (motivational interviewing) in a three-factor fully crossed factorial design (optimization). DISCUSSION: Because of Oklahoma's higher COVID-19 impact and lower vaccine uptake, identifying community-driven interventions is critical to address vaccine hesitancy. The MOST framework provides an innovative and timely opportunity to efficiently evaluate multiple educational interventions in a single study. TRIAL REGISTRATION: ClinicalTrials.gov: NCT05236270, First Posted: February 11, 2022, Last Update Posted: August 31, 2022.

Mail-Based Self-Sampling to Complete Colorectal Cancer Screening: Accelerating Colorectal Cancer Screening and Follow-up Through Implementation Science.

Introduction: Leveraging cancer screening tests, such as the fecal immunochemical test (FIT), that allow for self-sampling and postal mail for screening invitations, test delivery, and return can increase participation in colorectal cancer (CRC) screening. The range of approaches that use self-sampling and mail for promoting CRC screening, including use of recommended best practices, has not been widely investigated. Methods: We characterized self-sampling and mail strategies used for implementing CRC screening across a consortium of 8 National Cancer Institute Cancer Moonshot Initiative Accelerating Colorectal Cancer Screening and Follow-up through Implementation Science (ACCSIS) research projects. These projects serve diverse rural, urban, and tribal populations in the US. Results: All 8 ACCSIS projects leveraged self-sampling and mail to promote screening. Strategies included organized mailed FIT outreach with mailed invitations, including FIT kits, reminders, and mailed return (n = 7); organized FIT-DNA outreach with mailed kit return (n = 1); organized on-demand FIT outreach with mailed offers to request a kit for mailed return (n = 1); and opportunistic FIT-DNA with in-clinic offers to be mailed a test for mailed return (n = 2). We found differences in patient identification strategies, outreach delivery approaches, and test return options. We also observed consistent use of Centers for Disease Control and Prevention Summit consensus best practice recommendations by the 7 projects that used mailed FIT outreach. Conclusion: In research projects reaching diverse populations in the US, we observed multiple strategies that leverage self-sampling and mail to promote CRC screening. Mail and self-sampling, including mailed FIT outreach, could be more broadly leveraged to optimize cancer screening.

Investigation of Geographical Disparities: The Use of An Interpolation Method For Cancer Registry Data.

The American Cancer Society estimated 1.9 million diagnosed cancer cases and 608,570 cancer deaths in 2021 in the US; for Oklahoma, they estimated 22,820 cases and 8,610 deaths. This project aimed to demonstrate a method to systematically describe cancer in an accurate and visually attractive, yet simple to make, interpolated map using ZIP Code level registry data, as it is the smallest area unit with high accuracy using inverse distance weighting. We describe a process of creating smoothed maps with an appropriate, well-described, simple, replicable method. These smoothed maps display low (cold) or high (hot) areas of incidence rates of: (a) all cancer combined, (b) colorectal cancer and lung cancer rates by gender, (c) female breast cancer, and (d) prostate cancer, by ZIP Codes for Oklahoma from 2013-2017. The methods we present in this paper provide an effective visualization to pinpoint low (cold) or high (hot) areas of cancer incidence.

Identifying Priorities and Strategies for Improving Colorectal Cancer Screening in Tribal Clinics.

BACKGROUND: Colorectal cancer (CRC) is the 3rd most frequently diagnosed cancer and the 2nd leading cause of cancer death in the United States (US), and incidence and mortality rates in Oklahoma are higher for many American Indian (AI) populations than other populations. The AI CRC Screening Consortium addresses major regional CRC screening disparities among AIs with shared objectives to increase CRC screening delivery and uptake in AIs aged 50 to 75 years at average risk for CRC and to assess the effectiveness of implementations of the interventions. This manuscript reports environmental scan findings related to current practices and multi-stakeholder experiences with CRC screening in two Oklahoma Indian health care systems. METHOD: We conducted a mixed methods environmental scan across five clinical sites and with multiple stakeholders to determine the scope and scale of colorectal cancer screening in two separate AI health care delivery systems in Oklahoma. Data collection consisted of a mixture of individual interviews and group discussions at an urban site, and four clinical care sites within a tribal health system. RESULTS: Sixty-two individuals completed interviews. Data from these interviews will inform the development of evidence-based intervention strategies to increase provider delivery, community access to, and community priority for CRC screening in diverse AI health care delivery systems. Conversations with patients, providers, and clinical leadership point to individual and system-level opportunities for improvement at each site, shaped in part by differences in the delivery of services, structure of the health care system, and capacity to implement new intervention strategies. The thematic areas most central to the process of evidenced-based intervention development included: current practices, needs and recommendations, and CRC site priorities. CONCLUSION: Environmental scan data indicated clear opportunities for individual and system-level interventions to enhance CRC screening and was critical for understanding readiness for EBI implementation at each site.

Inequalities in Tobacco Retailer Compliance Violations Across the State of Oklahoma, 2015-2019.

OBJECTIVE: To evaluate the relationship between compliance check violations, and characteristics of the tobacco retailer and neighborhood social vulnerability in Oklahoma. DESIGN: This cross-sectional study utilized the US Food and Drug Administration (FDA) Compliance Check Inspections of Tobacco Product Retailers database for 2015-2019. These data were combined with Neighborhood social vulnerability variables using the Centers for Disease Control and Prevention (CDC) Social Vulnerability Index. SETTING: The setting of this study is the state of Oklahoma, USA. OUTCOME MEASURES: The outcome variable for this analysis was whether a sale was made to the youth during the compliance check (e.g., violation; yes/no) regardless of the outcome of the violation, and number of violations per a retailer. RESULTS: We observed a strong association between having a violation and retailer store type, after controlling for socioeconomic vulnerability and percentage of mobile homes. The proportion of a tobacco retailer's violations also varied by store type. CONCLUSIONS: More targeted enforcements and retailer education by store type may be necessary to increase compliance.

Barriers and Factors Associated with HPV Vaccination Among American Indians and Alaska Natives: A Systematic Review.

American Indian and Alaska Native (AI/AN) persons bear a disproportionate burden of human papillomavirus (HPV)-associated cancers and face unique challenges to HPV vaccination. We undertook a systematic review to synthesize the available evidence on HPV vaccination barriers and factors among AI/AN persons in the United States. We searched fourteen bibliographic databases, four citation indexes, and six gray literature sources from July 2006 to January 2021. We did not restrict our search by study design, setting, or publication type. Two reviewers independently screened the titles and abstracts (stage 1) and full-text (stage 2) of studies for selection. Both reviewers then independently extracted data using a data extraction form and undertook quality appraisal and bias assessment using the modified Mixed Methods Appraisal Tool. We conducted thematic synthesis to generate descriptive themes. We included a total of 15 records after identifying 3017, screening 1415, retrieving 203, and assessing 41 records. A total of 21 unique barriers to HPV vaccination were reported across 15 themes at the individual (n = 12) and clinic or provider (n = 3) levels. At the individual level, the most common barriers to vaccination-safety and lack of knowledge about the HPV vaccine-were each reported in the highest number of studies (n = 9; 60%). The findings from this review signal the need to develop interventions that target AI/AN populations to increase the adoption and coverage of HPV vaccination. Failure to do so may widen disparities.

Home food access and children's heart healthy dietary intake at home and child care.

Background: About 12 million children under 5 years of age attend early care and education centers (ECEs). Child intake at home can be impacted by food insecurity, which is higher among low income, rural, and racially diverse families. Aim: Determine whether greater access to fruits, vegetables, and snacks at home was associated with heart-healthy diet score at home and at ECEs in preschool-age children, and to determine whether there is a difference in heart-healthy diet score between home and ECEs. Methods: Cross-sectional study involving children (3-to-5-year-old, n = 88) who attended 16 licensed ECEs across Oklahoma. Caregivers completed the Healthy Home Survey and 3-Dinner Dietary recall to report children's home food access and home dinner dietary intake, respectively. Researchers recorded children's ECE lunch consumption using the Dietary Observation for Child Care. Heart-healthy diet score was derived from composite scores for six variables: consumption of fish, fruits, vegetables, sodium, fiber, and sugary drinks. Results: Home access to total fruits and vegetables (16.2 ± 6.3) outnumbered snacks (5.5 ± 3.0). No difference in composite heart-healthy diet score between ECEs (1.50 ± 0.8) and home (1.27 ± 0.9, P = 0.0851). Children within neither environment met recommendations for most variables (vegetables [18-24%], fruit [6-10%], fish [5-10%], fiber [1%], sodium [22-39%]). No relationship between home food access variables and the heart-healthy diet scores at home or ECEs. Conclusion: Dietary intake of children at home and ECEs does not meet heart-healthy diet score recommendations. Interventions should support preschool aged children from families that are located rurally, low-income, racial minorities, and whose primary caregivers work outside the home.

Linking the Cherokee Nation Cancer Registry With Electronic Medical Records: A Tribal-Academic Center Partnership.

The Cherokee Nation Cancer Registry (CNCR) is the only tribally operated Surveillance, Epidemiology, and End Results program registry. As registries, including the CNCR, lack detailed data characterizing health behavior or comorbidity, we aimed to enrich the CNCR by linking it with Cherokee Nation's electronic medical record (EMR). We describe the process of a tribal-academic partnership and linking records between the CNCR and the EMR for American Indian people diagnosed with cancer from 2015 to 2020. Prior to data linkage, our team worked with the Cherokee Nation Governance Board and Institutional Review Board to ensure tribal data sovereignty was maintained. While not all persons in the CNCR receive health care at Cherokee Nation, 63% linked with an EMR. We observed differences (P < .001) between cancer site, year at diagnosis, age at diagnosis, and gender by EMR linkage status. Once we further validate linkages and assess data completeness, we will evaluate relationships between behavioral risk factors, comorbidities, and cancer outcomes.

Development of a Resource Guide to Support the Engagement of Mental Health Providers and Patients With Digital Health Tools: Multimethod Study.

BACKGROUND: As mental illness continues to affect 1 in 5 individuals, and the need for support has increased during the COVID-19 pandemic, the promise of digital mental health tools remains largely unrealized due to a lack of uptake by patients and providers. Currently, most efforts on supporting the uptake of digital mental health tools remain fragmented across organizations and geography. There is a critical need to synthesize these efforts in order to provide a coordinated strategy of supporting the adoption of digital mental health tools. OBJECTIVE: The specific aim of this project is to develop a web-based resource document to support the engagement of mental health providers and patients in the use of digital mental health tools. METHODS: The web-based resource was developed using a multimethod approach. A grey literature review was conducted in 2019 to identify relevant toolkits that are available in the public domain. This was supplemented with an environmental scan where individuals with expertise in the development, acquisition, implementation, and evaluation of digital mental health tools were invited to contribute additional tools or documents not identified in the grey literature search. An engagement workshop was held with stakeholders to explore how the resource document should be developed and delivered. These findings were collectively used to develop the final iteration of the resource document. RESULTS: Based on a gray literature review and environmental scan with 27 experts, 25 resources were identified and included in the resource guide. These resources were developed for patients and providers by organizations from 5 countries. An engagement workshop was held with 14 stakeholders, and barriers related to cultural sensitivity, sustainability, and accessibility of the toolkit were identified. The final iteration of the resource document was developed by the research team using findings from the gray literature review, environmental scan, and engagement workshop. The contents of the 45-page resource guide are directed at mental health care providers, administrators, and patients (inclusive of families and caregivers). CONCLUSIONS: The use of a multimethod approach led to the development of a resource guide that builds on existing evidence on digital mental health tools and was co-designed with stakeholders and end-users. The resource guide is now publicly available online for free and is being promoted through digital health and mental health websites. Future work should explore how this document can be integrated into clinical care delivery and pathways.

The effect of the food environment on fresh produce served in family child care homes.

BACKGROUND: Higher produce consumption in childhood decreases risks of short- and long-term malnutrition, obesity, and disease. Children in early care programs, including family child care homes (FCCHs), receive 50-67% of daily nutrition while in care. Procuring nutritious foods requires grocer access, which is absent in food deserts (FDs). AIM: To determine if FCCH food environment (FE) impacted distance to grocers and amount of fresh produce served. METHODS: Using a cross-sectional design, Modified Retail Food Environment Index scores determined census tract FD status. FCCH and grocer addresses were geocoded and distance to the nearest grocers was calculated. Fresh produce was observed during two lunches. RESULTS: FE did not influence distance to grocers or fresh produce served. Non-desert FCCHs tended to serve fresh produce more frequently. The amount of fresh produce served was overall low. CONCLUSION: Further studies are warranted to inform policies aimed to reduce provider barriers regarding service of fresh produce.

Trends in Cancer Incidence Among American Indians and Alaska Natives and Non-Hispanic Whites in the United States, 1999-2015.

BACKGROUND: Female breast, prostate, lung, and colorectal cancers are the leading incident cancers among American Indian and Alaska Native (AI/AN) and non-Hispanic White (NHW) persons in the United States. To understand racial differences, we assessed incidence rates, analyzed trends, and examined geographic variation in incidence by Indian Health Service regions. METHODS: To assess differences in incidence, we used age-adjusted incidence rates to calculate rate ratios (RRs) and 95% confidence intervals (CIs). Using joinpoint regression, we analyzed incidence trends over time for the four leading cancers from 1999 to 2015. RESULTS: For all four cancers, overall and age-specific incidence rates were lower among AI/ANs than NHWs. By Indian Health Service regions, incidence rates for lung cancer were higher among AI/ANs than NHWs in Alaska (RR: 1.46; 95% CI: 1.37, 1.56) and Northern (RR: 1.29; 95% CI: 1.25, 1.33) and Southern (RR: 1.06; 95% CI: 1.03, 1.09) Plains. Similarly, colorectal cancer incidence rates were higher in AI/ANs than NHWs in Alaska (RR: 2.29; 95% CI: 2.14, 2.45) and Northern (RR: 1.04; 95% CI: 1.00, 1.09) and Southern (RR: 1.11; 95% CI: 1.07, 1.15) Plains. Also, AI/AN women in Alaska had a higher incidence rate for breast cancer than NHW women (RR: 1.05; 95% CI: 1.05, 1.20). From 1999 to 2015, incidence rates for all four cancers decreased in NHWs, but only rates for prostate (average annual percent change: -4.70) and colorectal (average annual percent change: -1.80) cancers decreased considerably in AI/ANs. CONCLUSION: Findings from this study highlight the racial and regional differences in cancer incidence.

Effect Modification of the Association Between Race and Stage at Colorectal Cancer Diagnosis by Socioeconomic Status.

OBJECTIVES: To compare risks of distant-stage colorectal cancer (CRC) diagnosis between whites and American Indian/Alaska Natives (AI/ANs) and to explore effect modification by area-based socioeconomic status (SES). DESIGN: Retrospective cohort study using data from the Oklahoma Central Cancer Registry. SETTING: Oklahoma. PARTICIPANTS: White and AI/AN cases of CRC diagnosed in Oklahoma between 2001 and 2008 (N = 8 438). A subanalysis was performed on the cohort of those aged 50 years and older (N = 7 728). MAIN OUTCOME MEASURE: Risk of distant-stage CRC diagnosis stratified by SES score. RESULTS: Race and SES were independently associated with distant-stage diagnosis. In SES-stratified analyses, AI/ANs in the 2 lowest SES groups experienced increased risks in the overall cohort and among those aged 50 years and older. In multivariable models, risks remained significant among those aged 50 years and older in the lowest SES groups (Adjusted risk ratio SES score of 2: 1.31, 95% confidence interval: 1.06-1.63 and adjusted risk ratio SES score of 1: 1.21, 95% confidence interval: 1.01-1.44). CONCLUSION: Socioeconomic status is an effect modifier in the association between race/ethnicity and stage at CRC diagnosis. Disparities in stage at CRC diagnosis exist between AI/ANs and whites with lower estimated SES. Efforts are needed to increase CRC screening among lower SES AI/ANs.

Spatiotemporal Analysis of Oklahoma Tobacco Helpline Registrations Using Geoimputation and Joinpoint Analysis.

OBJECTIVE: Tobacco quitlines provide free smoking cessation telephone services to smokers interested in quitting tobacco. We aimed to explore spatial and temporal analyses of registrations to the Oklahoma Tobacco Helpline including those of any racial group and American Indians (AI) from January 1, 2006, to June 30, 2017. This will allow tribal and community organizations, such as the Oklahoma Tribal Epidemiology Center, to better implement and evaluate public health prevention efforts at a smaller geographic area using the larger geographic units that are publicly available. DESIGN: Retrospective, descriptive study. SETTING: Oklahoma. PARTICIPANTS: Registrants to the Oklahoma Tobacco Helpline. MAIN OUTCOME MEASURES: To evaluate the spatial distribution of Helpline participants using geoimputation methods and evaluate the presence of time trends measured through annual percent change (APC). RESULTS: We observed increased density of participants in the major population centers, Oklahoma City and Tulsa. Density of AI registrations was higher in the rural areas of Oklahoma where there is a larger tribal presence compared with participants of any racial group. For all racial groups combined, we identified 3 significant trends increasing from July 2008 to March 2009 (APC: 10.9, 95% confidence interval [CI], 0.8-21.9), decreasing from March 2009 to May 2014 (APC: -0.8, 95% CI: -1.1 to -0.4), and increasing from May 2014 to June 2017 (APC: 0.8, 95% CI: 0.0-1.6). The number of AI registrations to the Helpline increased significantly from July 2008 to March 2009 (APC: 12.0, 95% CI: 2.0-22.9) and decreased from March 2009 to June 2014 (APC: -0.7, 95% CI: -1.0 to -0.3). CONCLUSIONS: Results of this project will allow the Helpline to efficiently identify geographic areas to increase registrations and reduce commercial tobacco use among the AI population in Oklahoma through existing programs at the Oklahoma Tribal Epidemiology Center.