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Background: Children with cancer from rural and nonurban areas face unique challenges. Health equity for this population requires attention to geographic disparities in optimal survivorship-focused care. Methods: The Oklahoma Childhood Cancer Survivor Cohort was based on all patients reported to the institutional cancer registry and ≤ 18 years old at diagnosis between January 1, 2005, and September 24, 2014. Suboptimal follow-up was defined as no completed oncology-related clinic visit five to 7 years after their initial diagnosis (survivors were 7–25 years old at end of the follow-up period). The primary predictor of interest was rurality. Results: Ninety-four (21%) of the 449 eligible survivors received suboptimal follow-up. There were significant differences (P = 0.01) as 36% of survivors from large towns (n = 28/78) compared with 21% (n = 20/95) and 17% (n = 46/276) of survivors from small town/isolated rural and urban areas received suboptimal follow-up, respectively. Forty-five percent of adolescents at diagnosis were not seen in the clinic compared with 17% of non-adolescents (P < 0.01). An adjusted risk ratio of 2.2 (95% confidence interval, 1.5, 3.2) was observed for suboptimal follow-up among survivors from large towns, compared with survivors from urban areas. Seventy-three percent of survivors (n = 271/369) had a documented survivorship care plan with similar trends by rurality. Conclusions: Survivors from large towns and those who were adolescents at the time of diagnosis were more likely to receive suboptimal follow-up care compared with survivors from urban areas and those diagnosed younger than thirteen. Impact: Observed geographic disparities in survivorship care will inform interventions to promote equitable care for survivors from nonurban areas.

Geographic distribution of survivors with Passport for Care

Rural-Urban Commuting Area (RUCA) codes, definitions, and categories (adapted from https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes/ and https://depts.washington.edu/uwruca/ruca-uses.php)

Background:Children with cancer from rural and nonurban areas face unique challenges. Health equity for this population requires attention to geographic disparities in optimal survivorship-focused care.Methods:The Oklahoma Childhood Cancer Survivor Cohort was based on all patients reported to the institutional cancer registry and ≤ 18 years old at diagnosis between January 1, 2005, and September 24, 2014. Suboptimal follow-up was defined as no completed oncology-related clinic visit five to 7 years after their initial diagnosis (survivors were 7–25 years old at end of the follow-up period). The primary predictor of interest was rurality.Results:Ninety-four (21%) of the 449 eligible survivors received suboptimal follow-up. There were significant differences (P = 0.01) as 36% of survivors from large towns (n = 28/78) compared with 21% (n = 20/95) and 17% (n = 46/276) of survivors from small town/isolated rural and urban areas received suboptimal follow-up, respectively. Forty-five percent of adolescents at diagnosis were not seen in the clinic compared with 17% of non-adolescents (P < 0.01). An adjusted risk ratio of 2.2 (95% confidence interval, 1.5, 3.2) was observed for suboptimal follow-up among survivors from large towns, compared with survivors from urban areas. Seventy-three percent of survivors (n = 271/369) had a documented survivorship care plan with similar trends by rurality.Conclusions:Survivors from large towns and those who were adolescents at the time of diagnosis were more likely to receive suboptimal follow-up care compared with survivors from urban areas and those diagnosed younger than thirteen.Impact:Observed geographic disparities in survivorship care will inform interventions to promote equitable care for survivors from nonurban areas.

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.

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.

Improving human papillomavirus (HPV) vaccination rates is a public health priority and a crucial cancer prevention goal. We designed a survey to estimate HPV vaccination coverage and understand factors associated with HPV vaccination among American Indian adolescents aged 9 to 17 years in Cherokee Nation, United States. The final survey contains 37 questions across 10 content areas, including HPV vaccination awareness, initiation, reasons, recommendations, and beliefs. This process paper provides an overview of the survey development. We focus on the collaborative process of a tribal–academic partnership and discuss methodological decisions regarding survey sampling, measures, testing, and administration.

INTRODUCTION Congenital anomalies were the leading cause of infant mortality, responsible for 23 and 21% of deaths in Oklahoma and the USA, respectively, in 2016. We aimed to determine the prevalence by race/ethnicity and spatial distribution of congenital anomalies to identify geographic and racial/ethnic disparities, particularly among American Indian/Alaska Natives (AI/AN). METHODS We evaluated the prevalence of anomalies by type and race/ethnicity among 648,074 live births in Oklahoma from 1997 to 2009. Prevalence proportion ratios (PPRs) and 95% confidence intervals (CIs) were calculated using Poisson regression. We used Moran's I and Getis-Ord Gi* to evaluate spatial clustering for neural tube defects, critical congenital heart defects (CCHDs), and oral clefts among births whose residence geocoded to the ZIP code or finer level. RESULTS Overall prevalence of anomalies among live births was 3.9%. Non-Hispanic (NH) African American (PPR: 0.87, 95% CI: 0.83, 0.91), Asian/Pacific Islander (PPR: 0.70, 95% CI: 0.63, 0.78), and Hispanic (PPR: 0.87, 95% CI: 0.83, 0.91) children had a lower prevalence of anomalies compared to NH whites. The prevalence in NH AI/AN children was similar to NH whites (PPR: 1.01, 95% CI: 0.97, 1.05). However, differences in specific types of anomalies were observed by race/ethnicity. We observed no spatial autocorrelation for CCHD and oral clefts. Neural tube defects demonstrated spatial autocorrelation (p

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.

Prior studies have identified the associations between environmental phenol and paraben exposures and increased risk of gestational diabetes mellitus (GDM), but no study addressed these exposures as mixtures. As methods have emerged to better assess exposures to multiple chemicals, our study aimed to apply Bayesian kernel machine regression (BKMR) to evaluate the association between phenol and paraben mixtures and GDM. This study included 64 GDM cases and 237 obstetric patient controls from the University of Oklahoma Medical Center. Mid-pregnancy spot urine samples were collected to quantify concentrations of bisphenol A (BPA), benzophenone-3, triclosan, 2,4-dichlorophenol, 2,5-dichlorophenol, butylparaben, methylparaben, and propylparaben. Multivariable logistic regression was used to evaluate the associations between individual chemical biomarkers and GDM while controlling for confounding. We used probit implementation of BKMR with hierarchical variable selection to estimate the mean difference in GDM probability for each component of the phenol and paraben mixtures while controlling for the correlation among the chemical biomarkers. When analyzing individual chemicals using logistic regression, benzophenone-3 was positively associated with GDM [adjusted odds ratio (aOR) per interquartile range (IQR) = 1.54, 95% confidence interval (CI) 1.15, 2.08], while BPA was negatively associated with GDM (aOR 0.61, 95% CI 0.37, 0.99). In probit-BKMR analysis, an increase in z-score transformed log urinary concentrations of benzophenone-3 from the 10th to 90th percentile was associated with an increase in the estimated difference in the probability of GDM (0.67, 95% Credible Interval 0.04, 1.30), holding other chemicals fixed at their medians. No associations were identified between other chemical biomarkers and GDM in the BKMR analyses. We observed that the association of BPA and GDM was attenuated when accounting for correlated phenols and parabens, suggesting the importance of addressing chemical mixtures in perinatal environmental exposure studies. Additional prospective investigations will increase the understanding of the relationship between benzophenone-3 exposure and GDM development.

Purpose: This study aimed to demonstrate a method to systematically illustrate cancer incidence in an accurate and visually attractive, yet straightforward, GIS-based method using ZIP Code level cancer registry data for all cancers combined and four major types of cancer. This analysis will better inform public health researchers by enabling them to empirically assess and describe geographic disparities in cancer for their own areas. Methods: We describe a process of creating smoothed maps with an appropriate, well-described, simple, replicable method. We calculated SIRs for each ZIP Code Tabulation Areas (ZCTAs) for each cancer type. For the IDW, we used the ArcGIS 10.8.1 to create smoothed maps of Oklahoma ZCTA SIR. Conclusion: This study demonstrates a method that public health practitioners can duplicate with minimal skills, no or low-cost applications, and limited data to assist health care professionals and the community in interpreting cancer in their state.

PURPOSE: Congenital malformations are strong risk factors for childhood cancer. Our objective was to determine whether cancer survival differs by birth defect status among Oklahoma children. METHODS: We used accelerated failure time models to estimate survival time ratios (SRs) and 95% confidence intervals (CIs), adjusted for maternal race/ethnicity and census tract-level poverty, among children diagnosed with cancer and born in Oklahoma from 1997–2012 (n=971), by linking records from birth certificates, birth defects, and cancer registries. RESULTS: We observed decreased, though imprecise, survival time among survivors with any birth defect (SR: 0.82, 95% CI: 0.29, 2.31) or chromosomal defects (n=24) (SR: 0.43, 95% CI: 0.06, 3.30) compared to those without birth defects. We observed no difference in survival time among children with non-chromosomal defects (SR: 0.98, 95% CI: 0.31, 3.12) compared to children with no birth defects. CONCLUSION: Our study did not identify significant differences in cancer survival for children with and without birth defects. Future studies should consider pooling data from multiple states to allow in-depth study of specific birth defects and cancer types and confirm whether survival differs by type and number of birth defects.

Purpose: There is emerging evidence that children with multiple congenital anomalies have a higher risk of developing cancer compared to unaffected children. However, there have been few population-based estimates of cancer risk among children with well-described patterns of recurrent multiple congenital anomalies (MCAs). VACTERL association is one such pattern that is defined by the presence of ≥3 of the following in the absence of a genetic diagnosis: vertebral defects, anal atresia, cardiac defects, tracheoesophageal fistula, renal, and limb anomalies. VACTERL occurs in approximately 5% of children with Fanconi anemia (FA), a known cancer predisposition syndrome. In spite of this, there are no population-based estimates of cancer risk in children with VACTERL. Therefore, we investigated if VACTERL confers an elevated risk of pediatric cancer by examining a birth cohort of >7 million children from three U.S. states (Texas, North Carolina, and Oklahoma) for the period 1997-2013. Methods: Demographic and diagnostic data from birth certificates, birth defects registries, and cancer registries were linked in each state and pooled for analysis. For this analysis, children with chromosomal anomalies were excluded. We used Cox proportional hazards models to evaluate the risk of cancer before 19 years of age in three birth defect groups: (1) VACTERL; (2) ≥3 major anomalies but not VACTERL; and (3) 1 to 2 major anomalies. A hazard ratio (HR) and 95% confidence interval (CI) was calculated in each group for: (1) overall cancer risk and (2) risk of embryonal tumors (e.g., neuroblastoma, medulloblastoma, hepatoblastoma) based on reported associations between birth defects and these pediatric cancers. Results: In our cohort of 7,767,786 births, we identified: 2,090 children (0.02%) with VACTERL; 32,558 children with ≥3 non-VACTERL defects; and 201,871 children with 1 to 2 defects. Respectively, these three groups had 10, 167, and 684 cases of cancer. Compared to children without birth defects, children with VACTERL (HR=3.9, 95% CI: 2.1 - 7.2), ≥3 non-VACTERL defects (4.2, 3.6 - 4.9), and 1 to 2 defects (2.7, 2.5 - 2.9), were all more likely to develop cancer. Risk was higher for embryonal tumors among children with VACTERL (10.4, 4.7 - 23.1) than for those with ≥3 non-VACTERL defects (5.6, 4.2 - 7.4) or 1 to 2 defects (3.9, 3.4 - 4.5). Conclusion: In this population-based assessment, we demonstrated that children with VACTERL were more likely than other groups to develop cancer, particularly embryonal tumors, although the absolute cancer risk was Citation Format: Alexander Renwick, Jeremy M. Schraw, Tania A. Desrosiers, Amanda E. Janitz, Michael E. Scheurer, Mark A. Canfield, Peter H. Langlois, Angela E. Scheuerle, Sharon E. Plon, Philip J. Lupo. A population-based assessment of cancer risk in children with recurrent multiple congenital anomalies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1998.

Previous studies suggest arsenic exposure may increase the risk of gestational diabetes mellitus (GDM). However, prior assessments of total arsenic concentrations have not distinguished between toxic and nontoxic species. Our study aimed to investigate the relationships between inorganic arsenic exposure, arsenic methylation capacity, and GDM. Sixty-four cases of GDM and 237 controls were analyzed for urinary concentrations of inorganic arsenic species and their metabolites (arsenite (As3), arsenate (As5), monomethylarsonic acid (MMA), and dimethylarsinic acid (DMA)), and organic forms of arsenic. Inorganic arsenic exposure was defined as the sum of inorganic and methylated arsenic species (iSumAs). Methylation capacity indices were calculated as the percentage of inorganic arsenic species [iAs% = (As3 + As5)/iSumAs, MMA% = MMA/iSumAs, and DMA% = DMA/iSumAs]. Multivariable logistic regression was performed to evaluate the association between inorganic arsenic exposure, methylation capacity indices, and GDM. We did not observe evidence of a positive association between iSumAs and GDM. However, women with GDM had an increased odds of inefficient methylation capacity when comparing the highest and lowest tertiles of iAs% (adjusted odds ratio (aOR) = 1.48, 95% CI 0.58–3.77) and MMA% (aOR = 1.95 (95% CI 0.81–4.70) and a reduced odds of efficient methylation capacity as indicated by DMA% (aOR = 0.62 (95% CI 0.25–1.52), though the confidence intervals included the null value. While the observed associations with arsenic methylation indices were imprecise and warrant cautious interpretation, the direction and magnitude of the relative measures reflected a pattern of lower detoxification of inorganic arsenic exposures among women with GDM.

IntroductionThe nine-valent human papillomavirus (HPV) vaccine could prevent an estimated 92% of the cancers attributable to HPV types targeted by the vaccine. However, uptake of the HPV vaccine among American Indian and Alaska Native (AI/AN) adolescents has been low. AI/ANs also bear a disproportionate burden of cervical and other HPV-associated cancers. Increasing HPV vaccination rates is a national priority, but reviews and national surveys on HPV vaccination factors are lacking for the AI/AN population. The objective of this systematic review is to assess factors associated with HPV vaccination among AI/ANs in the USA.Methods and analysisA systematic review is proposed to synthesise the current literature on HPV vaccination factors in AI/ANs from 1 July 2006 until 30 September 2019. As applicable, controlled vocabulary terms, keywords and special features (eg, limits, explode and focus) will be incorporated into database searches. To maximise the identification of relevant studies, citation indexes and databases that index dissertations, preprints and grey literature are included. Studies will be screened and selected independently in two stages. In stage 1, titles and abstracts will be screened. In stage 2, full-text articles will be screened and selected. A data extraction form and quality assessment tool will be piloted, revised and implemented. If available, measures of frequency and association will be presented. A narrative synthesis of the included studies will also be undertaken and reported.Ethics and disseminationAs our review will use publicly available data and publications, an Institutional Review Board review will not be required. We will disseminate the findings from this review through peer-reviewed publication(s) and conference presentation(s).Potential amendmentsIn the event of amendments to the protocol, we will provide the date, rationale, and description of the change for each amendment.PROSPERO registration numberCRD42020156865.

Background The prevalence of infertility in American Indian/Alaska Native (AI/AN) populations is unknown. The objective of our study was to estimate the prevalence of infertility and impaired fecundity in the AI/AN population and other racial and ethnic groups. Methods We analyzed female respondent data from the pooled National Survey of Family Growth (NSFG) cycles 2002, 2006-2010, and 2011-2013. We used modified Poisson regression with robust error variance accounting for survey weighting to estimate prevalence proportion ratios (PPR) and 95% confidence intervals (CI) for NSFG definitions of infertility and impaired fecundity by race and Hispanic ethnicity. Results The prevalence of infertility and impaired fecundity in the pooled NSFG was 6.4% (95% CI 5.7, 7.0) and 11.0% (95% CI 11.0, 12.2), respectively. Compared to whites, blacks had a 1.45 times greater adjusted prevalence of infertility (95% CI 1.15, 1.83) and AI/ANs had a 1.37 times greater prevalence of infertility (95% CI 0.91, 2.06) compared to whites. We observed a 1.30 times greater prevalence of impaired fecundity among AI/AN (95% CI 1.04, 1.62) compared to whites. We observed no differences in impaired fecundity for black or Asian/Pacific Islander women compared to whites or for Hispanic compared to non-Hispanic women. Conclusions Inequalities in the burden of reproductive impairments among blacks and AI/AN women warrant further evaluation to identify opportunities for prevention and disparity reduction.

ObjectivesAlthough the most common cause of death in infants, little is known about the aetiology of congenital anomalies. Recent studies have increasingly focused on environmental exposures, including benzene. While benzene is known to affect the central nervous system, the effects on the developing fetus are unclear.MethodsWe conducted a retrospective cohort study to evaluate the association between ambient benzene exposure and the prevalence of congenital anomalies among 628 121 singleton births in Oklahoma from 1997 to 2009. We obtained benzene from the Environmental Protection Agency’s 2005 National-Scale Air Toxics Assessment for the census tract of the birth residence. We used modified Poisson regression with robust SEs to calculate prevalence proportion ratios (PPRs) and 95% CIs between quartiles of benzene exposure and critical congenital heart defects (CCHDs), neural tube defects (NTDs) and oral clefts adjusted for maternal education and tobacco use.ResultsMedian benzene exposure concentration in Oklahoma was 0.57 µg/m3. We observed no association between benzene exposure and oral clefts, CCHDs or NTDs. When specific anomalies were examined, we observed an increased prevalence of cleft lip among those exposed to the second quartile of benzene compared with the first (PPR 1.50, 95% CI 1.05 to 2.13), though no association with higher levels of exposure.ConclusionsOur findings do not provide support for an increased prevalence of anomalies in areas more highly exposed to benzene. Future studies would benefit from pooling data from multiple states to increase statistical power and precision in studies of air pollutants and specific anomalies.

OBJECTIVES. Previous studies have identified racial/ethnic disparities in infertility care, but patterns among American Indian/Alaska Natives (AI/AN) have not been reported. Our objective was to evaluate infertility services use in the US by race/ethnicity using data from the National Survey of Family Growth (NSFG). METHODS. We analyzed female respondent data from the pooled NSFG cycles 2002, 2006–2010 and 2011–2013. Respondents reported use of infertility services and types of services. We calculated weighted crude and adjusted prevalence proportion ratios (PPR) and 95% confidence intervals (95% CI) using modified Poisson regression with robust error variances accounting for the complex survey design to compare infertility services use across race/ethnicities. RESULTS: Overall, 8.7% of women reported using medical services to get pregnant. The prevalence of using any medical service to help get pregnant was lower for American Indian/Alaska Native (AI/AN) [PPR: 0.60, 95% CI: 0.43, 0.83] and black [PPR: 0.53, 95% CI: 0.44, 0.63] compared to white women and in Hispanic compared to non-Hispanic women [PPR: 0.57, 95% CI: 0.48, 0.67]. The prevalence of accessing treatment, testing, and advice also differed by race and ethnicity. CONCLUSIONS FOR PRACTICE: We observed disparities in accessing services to get pregnant among AI/AN and black women and reduced use of advice among Asian/Pacific Islanders compared to whites. We also observed reduced service utilization for Hispanic compared to non-Hispanic women. Differential utilization of specific services suggests barriers to infertility care may contribute to reproductive health disparities among underserved populations.

BACKGROUND: No research exists on American Indian pregnancy rates following infertility treatment. Most racial/ethnic fertility research has focused on pregnancy following in vitro fertilization, with only rare studies looking at intrauterine insemination (IUI). The objective of our study was to compare fecundability following IUI by race/ethnicity, with a special focus on American Indians. METHODS: This was a retrospective analysis of subjects undergoing IUI July 2007—May 2012 at a university-based infertility clinic. The primary outcome was positive pregnancy test, with a secondary outcome of ongoing pregnancy/delivery (OP/D). We calculated risk ratios (RR) and 95% confidence intervals (CI) using cluster-weighted generalized estimating equations method to estimate modified Poisson regression models with robust standard errors to account for multiple IUI cycles in the same patient. RESULTS: A total of 663 females (median age 32) undergoing 2007 IUI cycles were included in the analysis. Pregnancy rates overall were 15% per IUI cycle. OP/D rates overall were 10% per IUI cycle. The American Indian patients had significantly lower pregnancy (RR 0.34, 95%CI 0.16–0.72) and OP/D rates (RR 0.33, 95%CI 0.12–0.87) compared to non-Hispanic whites when patient and cycle characteristics were controlled. Pregnancy and OP/D rates for blacks, Asians and Hispanics did not differ from non-Hispanic whites. CONCLUSIONS: Our finding of lower IUI treatment success among American Indian patients is novel, as no published studies of assisted reproductive technology or other fertility treatments have examined this subgroup separately. Further investigation of patient and clinical factors that may mediate racial/ethnic disparities in fertility treatment outcomes is warranted.

Background Although childhood cancer is a leading cause of childhood mortality in the US, evidence regarding the etiology is lacking. The goal of this study was to evaluate the association between benzene, a known carcinogen, and childhood acute leukemia. Methods We conducted a case-control study including cases diagnosed with acute leukemia between 1997 and 2012 (n = 307) from the Oklahoma Central Cancer Registry and controls matched on week of birth from birth certificates (n = 1013). We used conditional logistic regression to evaluate the association between benzene, measured with the 2005 National-Scale Air Toxics Assessment (NATA) at census tract of the birth residence, and childhood acute leukemia. Results We observed no differences in benzene exposure overall between cases and controls. However, when stratified by year of birth, cases born from 2005 to 2010 had a three–fold increased unadjusted odds of elevated exposure compared to controls born in this same time period (4th Quartile OR: 3.53, 95% CI: 1.35, 9.27). Furthermore, the estimates for children with acute myeloid leukemia (AML) were stronger than those with acute lymphoid leukemia, though not statistically significant. Conclusions While we did not observe an association between benzene and childhood leukemia overall, our results suggest that acute leukemia is associated with increased benzene exposure among more recent births, and children with AML may have increased benzene exposure at birth. Using the NATA estimates allowed us to assess a specific pollutant at the census tract level, providing an advantage over monitor or point source data. Our study, however, cannot rule out the possibility that benzene may be a marker of other traffic-related exposures and temporal misclassification may explain the lack of an association among earlier births.

Little is known about the etiology of hepatoblastoma. We aimed to confirm the results of a previous study evaluating the association between parental occupational exposures and hepatoblastoma. In our case-control study, we identified cases (n=383) from the Children's Oncology Group and controls from birth certificates (n=387), which were frequency matched to cases on year and region of birth, sex, and birth weight. Occupational exposure in the year before and during the index pregnancy was collected through maternal interview and analyzed using unconditional logistic regression. The odds of both paternal and maternal "Likely" exposure to paints was elevated among cases compared with controls (paternal odds ratio (OR): 1.71, 95% confidence interval (CI): 1.04, 2.81; maternal OR: 3.29, 95% CI: 0.32, 33.78) after adjustment for matching factors and the confounding factors of maternal race (maternal only) and household income. In addition, paternal exposure to other chemicals was also elevated when adjusting for matching factors only (OR: 1.53, 95% CI: 1.02, 2.30). The results of our study provide further evidence of an association between parental occupation and hepatoblastoma. These results warrant further investigation of the etiologically relevant timing of occupational exposure to fumes and chemicals related to hepatoblastoma.

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.

The growing senior population and persistent poor health status of seniors in Oklahoma compels a fresh look at what health promotion services would be well received. Surveys were distributed to a list of registered voters age 65 and older in Oklahoma with a total of 1,248 surveys returned (19.8%). Survey items asked about interests in services, classes, and activities, plus current barriers to accessing and/or engaging in such programs. To account for survey weighting, Rao-Scott Chi-Square Tests were performed to determine differences by demographic characteristics. We identified services, classes, and activities that were (and were not) of interest to seniors in Oklahoma with legal assistance (52.1%), exercise classes (46.6%), internet classes (40.7%), and indoor exercise activities (45.5%) receiving the highest level of interest. Barriers to interest in participating in programs included not wanting to go and not knowing availability of such services. The results of this survey provide useful data on health promotion gaps for seniors, interests and barriers to engaging in such activities, and guidance for statewide program development. Future program development needs to be focused on areas of interest for older adults, including legal assistance, exercise classes, and internet classes.

It is estimated that 300,000 children 0-14 years of age are diagnosed with cancer worldwide each year. While the absolute risk of cancer in children is low, it is the leading cause of death due to disease in children in high-income countries. In spite of this, the etiologies of pediatric cancer are largely unknown. Environmental exposures have long been thought to play an etiologic role. However, to date, there are few well-established environmental risk factors for pediatric malignancies, likely due to technical barriers in collecting biological samples prospectively in pediatric populations for direct measurements. In this review, we propose the use of novel or underutilized biospecimens (dried blood spots and teeth) and molecular approaches for exposure assessment (epigenetics, metabolomics, and somatic mutational profiles). Future epidemiologic studies of pediatric cancer should incorporate novel exposure assessment methodologies, data on molecular features of tumors, and a more complete assessment of gene-environment interactions.

Background While many studies have evaluated the association between acute childhood leukemia and environmental factors, knowledge is limited. Ambient air pollution has been classified as a Group 1 carcinogen, but studies have not established whether traffic-related air pollution is associated with leukemia. The goal of our study was to determine if children with acute leukemia had higher odds of exposure to traffic-related air pollution at birth compared to controls. Methods We conducted a case-control study using the Oklahoma Central Cancer Registry to identify cases of acute leukemia in children diagnosed before 20 years of age between 1997 and 2012 (n=307). Controls were selected from birth certificates and matched to cases on week of birth (n=1013). Using a novel satellite-based land-use regression model of nitrogen dioxide (NO 2 ) and estimating road density based on the 2010 US Census, we evaluated the association between traffic-related air pollution and childhood leukemia using conditional logistic regression. Results The odds of exposure to the fourth quartile of NO 2 (11.19–19.89 ppb) were similar in cases compared to controls after adjustment for maternal education (OR: 1.08, 95% CI: 0.75, 1.55). These estimates were stronger among children with acute myeloid leukemia (AML) than acute lymphoid leukemia, with a positive association observed among urban children with AML (4th quartile odds ratio: 5.25, 95% confidence interval: 1.09, 25.26). While we observed no significant association with road density, male cases had an elevated odds of exposure to roads at 500 m from the birth residence compared to controls (OR: 1.39, 95% CI: 0.93, 2.10), which was slightly attenuated at 750 m. Conclusions Although we observed no association overall between NO 2 or road density, this was the first study to observe an elevated odds of exposure to NO 2 among children with AML compared to controls suggesting further exploration of traffic-related air pollution and AML is warranted.

Background Data-linkage studies have reported an association between congenital anomalies and childhood cancer. However, few studies have focused on the differences in the effect of congenital anomalies on cancer as a function of attained age. We aimed to examine associations between anomalies and childhood cancer as a function of attained age among children born in Oklahoma. Methods Data were obtained from the Oklahoma State Department of Health from 1997 to 2009 (n = 591,235). We linked Vital Statistics records for singleton deliveries to the Oklahoma Birth Defects Registry and the Oklahoma Central Cancer Registry using name and birth date. To assess the relation between anomalies and childhood cancer, we used Cox regression analysis allowing for a nonproportional hazards for anomalies as a function of age. Results There were 23,368 (4.0%) children with anomalies and 531 (0.1%) children with cancer. When considering 3-year age intervals, we detected an increased hazard of any childhood cancer in children with anomalies compared with those without anomalies before 1 year of age (hazard ratio, 14.1; 95% confidence interval, 8.3–23.7) and at 3 years of age (hazard ratio, 2.3; 95% confidence interval, 1.6–3.2). The increased hazard declined with increasing time since birth, with the effect diminished by 6 years of age. Conclusion Our results were consistent with previous studies indicating an increased rate of childhood cancer among children with anomalies at younger ages. Furthermore, our study added a methodological refinement of assessing the effect of anomalies as a function of attained age. Birth Defects Research (Part A), 2016. © 2016 Wiley Periodicals, Inc.

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.

Although childhood cancer is a leading cause of childhood mortality in the US, evidence regarding the etiology is lacking. The goal of this study was to evaluate the association between benzene, a known carcinogen, and childhood acute leukemia.We conducted a case-control study including cases diagnosed with acute leukemia between 1997 and 2012 (n = 307) from the Oklahoma Central Cancer Registry and controls matched on week of birth from birth certificates (n = 1013). We used conditional logistic regression to evaluate the association between benzene, measured with the 2005 National-Scale Air Toxics Assessment (NATA) at census tract of the birth residence, and childhood acute leukemia.We observed no differences in benzene exposure overall between cases and controls. However, when stratified by year of birth, cases born from 2005 to 2010 had a three-fold increased unadjusted odds of elevated exposure compared to controls born in this same time period (4th Quartile OR: 3.53, 95% CI: 1.35, 9.27). Furthermore, the estimates for children with acute myeloid leukemia (AML) were stronger than those with acute lymphoid leukemia, though not statistically significant.While we did not observe an association between benzene and childhood leukemia overall, our results suggest that acute leukemia is associated with increased benzene exposure among more recent births, and children with AML may have increased benzene exposure at birth. Using the NATA estimates allowed us to assess a specific pollutant at the census tract level, providing an advantage over monitor or point source data. Our study, however, cannot rule out the possibility that benzene may be a marker of other traffic-related exposures and temporal misclassification may explain the lack of an association among earlier births.

Background The twin prevention strategies of HPV vaccination and cervical cancer screening reduce new cases and averts deaths, yet women still develop or die from cervical cancer. To assess and better understand the burden of cervical cancer in Oklahoma, we analyzed incidence and mortality trends in Oklahoma from 1999 to 2013. Methods We obtained age-adjusted cervical cancer incidence and mortality rates and calculated standardized rate ratios (RR) for women in Oklahoma compared to the US. To evaluate temporal changes in annual age-adjusted incidence and mortality, we calculated the annual percent change (APC) using the Joinpoint Regression Program. Results We observed higher age-adjusted incidence (RR: 1.2; 95% CI: 1.1, 1.3) and mortality (RR: 1.2; 95% CI: 1.1, 1.2) rates among women in Oklahoma compared to the US. The overall incidence and mortality rates in Oklahoma were 9.7 and 2.9 per 100,000 women, respectively. In Oklahoma, the highest age-adjusted incidence rates were in American Indian/Alaska Native (AI/AN) (14.8 per 100,000 females) and Asian or Pacific Islander (API) (11.7 per 100,000 females) women and the highest mortality rates were in AI/AN (4.5 per 100,000 females) and African American (AA) (3.9 per 100,000 females) women. Incidence rates decreased for AA women (APC: −4.0; 95% CI: −7.7, −0.2), but were stable for all other races and ethnicities in Oklahoma (APC: −0.8; 95% CI: −2.2, 0.7). A stable trend for mortality was observed in Oklahoma (APC: 0.1; 95% CI: −2.2, 2.5) each year. Conclusion Women in Oklahoma had a higher cervical cancer incidence and mortality rate than the US. A disproportionately higher incidence of cervical cancer among AI/AN and API women and deaths among AI/AN and AA women were observed signaling continuing racial disparities.

Purpose: The purpose of this study was to compare and contrast health education needs of rural Oklahomans aged 65 and older compared to urban and sub-urban populations. Methods: Surveys were distributed to a list of registered voters age 65 and older in Oklahoma with a total of 1,248 surveys returned. Survey items asked about interests in services, classes and activities, plus current barriers to accessing and/or engaging in such programs. Findings: Survey respondents living in large rural towns (23.7%) and the urban core (21.5%) were significantly more likely than those in small rural towns (14.0%) or sub-urban areas (15.5%) to have attended a free health information event in the past year (P=0.0393). Older Oklahomans in small towns and isolated rural areas reported more frequently than those in the urban core that they would participate in congregate meals at a center (small town/isolated rural: 14.4%, urban core: 7.2%) (P=0.05). Lack of adequate facilities was more frequently reported by those residing in small town and isolated rural areas compared to urban core areas (16.4% vs. 7.8%, P=0.01). Finally, older Oklahomans in the large rural towns (0.6%) and small town and isolated rural locations (2.13%) less frequently reported use of senior information lines (Senior Infoline) than those in the urban core (6.0%) and in sub-urban areas (7.1%) (P=0.0009). Conclusions: Results of this survey provide useful data on senior interests and current barriers to community programs/activities have some unique trends among both urban and rural populations.

Background Health data usually has missing or incomplete location information, which impacts the quality of research. Geoimputation methods are used by health professionals to increase the spatial resolution of address information for more accurate analyses. The objective of this study was to evaluate geo-imputation methods with respect to the demographic and spatial characteristics of the data. Methods We evaluated four geoimputation methods for increasing spatial resolution of records with known locational information at a coarse level. In order to test and rigorously evaluate two stochastic and two deterministic strategies, we used the Texas Sex Offender registry database with over 50,000 records with known demographic and coordinate information. We reduced the spatial resolution of each record to a census block group and attempted to recover coordinate information using the four strategies. We rigorously evaluated the results in terms of the error distance between the original coordinates and recovered coordinates by studying the results by demographic sub groups and the characteristics of the underlying geography. Results We observed that in estimating the actual location of a case, the weighted mean method is the most superior for each demographic group followed by the maximum imputation centroid, the random point in matching sub-geographies and the random point in all sub-geographies methods. Higher accuracies were observed for minority populations because minorities tend to cluster in certain neighborhoods, which makes it easier to impute their location. Results are greatly affected by the population density of the underlying geographies. We observed high accuracies in high population density areas, which often exist within smaller census blocks, which makes the search space smaller. Similarly, mapping geoimputation accuracies in a spatially explicit manner reveals that metropolitan areas yield higher accuracy results. Conclusions Based on gains in standard error, reduction in mean error and validation results, we conclude that characteristics of the estimated records such as the demographic profile and population density information provide a measure of certainty of geographic imputation. Electronic supplementary material The online version of this article (10.1186/s12942-018-0151-y) contains supplementary material, which is available to authorized users.

Background Peripheral artery disease (PAD) is a highly prevalent disease that impairs walking ability. Walking tests, such as the 6-minute walk test (6MWT) and 4-meter walk test, are commonly used to assess exercise endurance and ambulatory function over a short distance, respectively. The 6MWT performance is predictive of PAD severity and disease outcomes, but it is not feasible in many clinical settings because it requires a long walkway to serve as the test route and lengthens clinic visits. As an alternative, the 4-meter walk test is convenient, inexpensive, and repeatable, but whether it accurately predicts endurance performance in the long-distance 6MWT is not known. The goal of this study was to develop a statistical model to predict 6MWT gait speed from 4-meter walk test results and clinical characteristics among patients with PAD. Methods Measures of 6MWT gait speed were derived from 183 patients with symptomatic PAD who were evaluated at the University of Oklahoma Health Sciences Center (2004-2012). The testing procedures and research personnel remained constant throughout the duration of the study. Independent variables included demographic and clinical information and 4-meter walk test gait speed. Fivefold cross validation and manual backward selection were used for model selection. Adjusted R 2 and corrected Akaike information criterion were applied to quantify the predictive performance of the regression models. Results A total of 183 people (54% male; mean age, 65 [standard deviation (SD), 10] years) with moderate PAD severity (ankle-brachial index [ABI]; mean, 0.72 [SD, 0.24]) performed the walking tests. Participants covered an average distance of 335 (SD, 97) m distance in the 6MWT. The 4-meter walk gait speed, ABI, and dyspnea were independent predictors of 6MWT speed in the multivariate model (adjusted R 2 = 0.55). The model resulted in 95% prediction interval widths of 30 m for mean and 260 m for individual predicted 6MWT distance measures. Conclusions Slower 4-meter walking speed, lower ABI, and presence of dyspnea all predict slower 6MWT gait speed, which corresponds to shorter 6MWT distance. Prediction of group means is reasonably precise; however, prediction of individual patient 6MWT performance is imprecise relative to between-group differences that are clinically important.

Importance Birth defects affect approximately 1 in 33 children. Some birth defects are known to be strongly associated with childhood cancer (eg, trisomy 21 and acute leukemia). However, comprehensive evaluations of childhood cancer risk in those with birth defects have been limited in previous studies by insufficient sample sizes. Objectives To identify specific birth defect–childhood cancer (BD-CC) associations and characterize cancer risk in children by increasing number of nonchromosomal birth defects. Design, Setting, and Participants This multistate, population-based registry linkage study pooled statewide data on births, birth defects, and cancer from Texas, Arkansas, Michigan, and North Carolina on 10 181 074 children born from January 1, 1992, to December 31, 2013. Children were followed up to 18 years of age for a diagnosis of cancer. Data were retrieved between September 26, 2016, and September 21, 2017, and data analysis was performed from September 2, 2017, to March 21, 2019. Exposures Birth defects diagnoses (chromosomal anomalies and nonchromosomal birth defects) recorded by statewide, population-based birth defects registries. Main Outcomes and Measures Cancer diagnosis before age 18 years, as recorded in state cancer registries. Cox regression models were used to generate hazard ratios (HRs) and 95% CIs to evaluate BD-CC associations and the association between number of nonchromosomal defects and cancer risk. Results Compared with children without any birth defects, children with chromosomal anomalies were 11.6 (95% CI, 10.4-12.9) times more likely to be diagnosed with cancer, whereas children with nonchromosomal birth defects were 2.5 (95% CI, 2.4-2.6) times more likely to be diagnosed with cancer before 18 years of age. An increasing number of nonchromosomal birth defects was associated with a corresponding increase in the risk of cancer. Children with 4 or more major birth defects were 5.9 (95% CI, 5.3-6.4) times more likely to be diagnosed with cancer compared with those without a birth defect. In the analysis of 72 specific BD-CC patterns, 40 HRs were statistically significant (adjustedP Conclusions and Relevance Several significant and novel associations were observed between specific birth defects and cancers. Among children with nonchromosomal birth defects, the number of major birth defects diagnosed was significantly and directly associated with cancer risk. These findings could inform clinical treatment for children with birth defects and may elucidate mechanisms that lead to these complex outcomes.

We describe and compare cancer incidence and mortality among American Indians (AI/ANs) and whites in nine Indian Health Service (IHS) Service Units in Oklahoma.Using data from the Oklahoma Central Cancer Registry and the web-based OK2SHARE database, we obtained age-adjusted cancer incidence rates from 1997 to 2012 and cancer mortality rates from 1999 to 2009 for AI/ANs and whites in Oklahoma. We examined differences in primary site, percentage of late stage diagnoses, and trends over time.AI/ANs consistently had higher cancer incidence and mortality compared to whites in Oklahoma. The magnitude of disparity for cancer incidence and mortality varied by IHS Service Unit and by gender. The top three cancer sites were the same for all Service Units. The percentage of late stage diagnosis also varied by region.We identify priority areas where cancer disparity challenges exist among AI/ANs in Oklahoma.

While cancer is relatively rare in children under 20, it is the leading cause of disease-related death among children aged 5 to 14 years. We aimed to describe the incidence and survival of childhood cancer in Oklahoma from 1997-2012. We calculated age-adjusted incidence rates and five-year observed survival by cancer type using Oklahoma Central Cancer Registry and Surveillance, Epidemiology, and End Results program data among children diagnosed with cancer under the age of 20 from 1997-2012. The average annual age-adjusted incidence rate of childhood cancer was 168.9 per million for the US and 171.7 per million for Oklahoma. Overall, Oklahoma had lower survival from childhood cancer compared to the US (77.0% v. 80.6%). In recent years, research has been conducted on the epidemiology of childhood cancer. Little research has been done, however, on the incidence or survival of childhood cancer at state levels and none focused exclusively on Oklahoma.

This study assessed the period prevalence (2000-2008) and mortality rates of melanoma, in Oklahoma, among different racial/ethnic strata.We analyzed incident cases of melanoma from 2000-2008 from the Oklahoma Central Cancer Registry and determined disease duration using Kaplan-Meier survival analysis to calculate period prevalence of melanoma in Oklahoma. Using a series of Chi-Square tests, we compared period prevalence and mortality rates among the racial groups and compared mortality between Oklahoma and the US.White non-Hispanics in Oklahoma have the highest period prevalence (p0.0001) among the racial strata. American Indian or Alaska Native (AI/AN) individuals have the second highest period prevalence in Oklahoma (p0.0001). Furthermore, white non-Hispanics (p0.0001) and AI/AN individuals (p=0.0003) in Oklahoma had higher mortality rates compared to the US.There are disparities in the prevalence and mortality of melanoma among the AI/AN population in Oklahoma, and prevention and education programs should focus on this population.

Pancreatic cancer is among the most deadly cancers. Risk factors associated with the disease include age, race, sex, smoking status, and diabetes status.We conducted a prospective analysis of risk factors and length of survival among pancreatic cancer patients living in Oklahoma between 1997 and 2012 (n=6,291). Kaplan-Meier survival curves were created followed by the log-rank test to compare difference in the survival time. Cox proportional hazard regression models were used to examine the strength of association through the estimated hazard ratios.The median survival time of the cohort was three months. Significant risk factors for reduced survival times included age, stage at diagnosis, and year of diagnosis.Results are in agreement with previous research findings. There have been small but noteworthy improvements in survival times for pancreatic cancer patients in Oklahoma. Length of survival during the study period was significantly associated with known risk factors such as age and stage of diagnosis.

Cancer is the second-leading cause of death in the United States (US) and Oklahoma ranks near the top with the highest rates of mortality from cancer. The top four major sites of cancer were prostate, female breast, lung and bronchus, and colon and rectum.Joinpoint software was used to examine the incidence and mortality for the four cancers over time from 1999-2012 for both the US and Oklahoma.Incidence and mortality rates declined from 1999-2012 for the four cancer sites. The average annual, age-adjusted incidence rate was higher in the US than Oklahoma for prostate cancer, but higher in Oklahoma for female breast, lung and bronchus, and colon and rectum cancer sites.Over the course of 14 years from 1999-2012, the age-adjusted incidence and mortality rates of prostate cancer, female breast cancer, lung and bronchus cancer, and colon and rectum cancer decreased over time nationally and in Oklahoma.

Despite well-established clinical guidelines for breast cancer treatment, Standard of Care (SOC) is not universal in the U.S. The purpose of this study was to describe the extent to which patients receive guideline-based, stage-specific treatments for localized female breast cancer in Oklahoma. Data were obtained from the Oklahoma Central Cancer Registry for the period 2003–2006. We included localized, invasive female breast cancers and analyzed both treatment and demographic factors. We used the National Comprehensive Cancer Network (NCCN) treatment guidelines to determine SOC. Among women who received breast conserving surgery (BCS), we used logistic regression to evaluate factors related to SOC. In Oklahoma, 92 percent of the 4,177 localized breast cancer patients were treated with recognized SOC. In women aged ≥65 years with BCS, those ≥75 years had a lower adjusted odds of meeting SOC than did those without insurance, with comorbid conditions, or whose comorbid status was unknown. Among women aged

This study describes overall and site specific cancer incidence among AI/ANs compared to whites in Oklahoma and differences in cancer staging.Age-adjusted incidence rates obtained from the Oklahoma Central Cancer Registry are presented for all cancer sites combined and for the most common cancer sites among AI/ANs with comparisons to whites. Percentages of late stage cancers for breast, colorectal, and melanoma cancers are also presented.AI/ANs had a significantly higher overall cancer incidence rate compared to whites (629.8/100,000 vs. 503.3/100,000), with a rate ratio of 1.25 (95% CI: 1.22, 1.28). There was a significant disparity in the percentage of late stage melanoma cancers between 2005 and 2009, with 14.0% late stage melanoma for whites and 20.0% for AI/ANs (p-value:0.03).Overall, there were cancer disparities between AI/ANs and whites in Oklahoma. Incidence rates were higher among AI/ANs for all cancers and many site specific cancers.