Emotional and functional well-being in long-term breast cancer survivorship.

PURPOSE: Emotional and functional well-being (EWB and FWB) are important components of mental health and quality of life. This study aims to evaluate long-term EWB and FWB in breast cancer (BC) survivors. METHODS: The Carolina Breast Cancer Study Phase 3 oversampled Black and younger (< 50 years in age) women so that they each represent approximately 50% of the study population and assessed participants' EWB and FWB with the Functional Assessment of Cancer Therapy-Breast (FACT-B) at 5- (baseline), 25-, and 84-months post diagnosis. Multinomial logit models were used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for associations between demographic and clinical characteristics and well-being change relative to baseline. RESULTS: Among 2,781 participants with BC, average EWB and FWB improved with time since diagnosis. Persistent FWB decrements were associated with Black race [OR 1.4 (95% CI 1.2-1.7) and 1.3 (95% CI 1.1-1.6), at 25-months and 84-months respectively], older age [OR 1.4 (95% CI 1.1-1.7) and 1.5 (95% CI 1.2-1.8), respectively], no chemotherapy, and recurrence [OR 2.9 (95% CI 1.8-4.8) and 3.1 (95% CI 2.1-4.6), respectively]. EWB decrements were associated with advanced stage and recurrence. Decrements in combined (FWB+EWB) well-being were associated with recurrence at both follow-up survey timepoints [ORs 4.7 (95% CI 2.7-8.0) and 4.3 (95% CI 2.8-6.6), respectively]. CONCLUSIONS: Long-term well-being varies by demographics and clinical features, with Black women and women with aggressive disease at greatest risk of long-term decrements.

Burden of lymphedema in long-term breast cancer survivors by race and age.

BACKGROUND: Risk assessment for breast cancer-related lymphedema has emphasized upper-limb symptoms and treatment-related risk factors. This article examined breast cancer-related lymphedema after surgery, overall and in association with broader demographic and clinical features. METHODS: The Carolina Breast Cancer Study phase 3 followed participants for breast cancer-related lymphedema from baseline (on average, 5 months after breast cancer diagnosis) to 7 years after diagnosis. Among 2645 participants, 552 self-reported lymphedema cases were identified. Time-to-lymphedema curves and inverse probability weighted conditional Cox proportional hazards model were used to evaluate whether demographics and clinical features were associated with breast cancer-related lymphedema. RESULTS: Point prevalence of breast cancer-related lymphedema was 6.8% at baseline, and 19.9% and 23.8% at 2 and 7 years after diagnosis, respectively. Most cases had lymphedema in the arm (88%-93%), whereas 14% to 27% presented in the trunk and/or breast. Beginning approximately 10 months after diagnosis, younger Black women had the highest risk of breast cancer-related lymphedema and older non-Black women had the lowest risk. Positive lymph node status, larger tumor size (>5 cm), and estrogen receptor-negative breast cancer, as well as established risk factors such as higher body mass index, removal of more than five lymph nodes, mastectomy, chemotherapy, and radiation therapy, were significantly associated with increased hazard (1.5- to 3.5-fold) of lymphedema. CONCLUSIONS: Findings highlight that hazard of breast cancer-related lymphedema differs by demographic characteristics and clinical features. These factors could be used to identify those at greatest need of lymphedema prevention and early intervention. LAY SUMMARY: In this study, the aim was to investigate breast cancer-related lymphedema (BCRL) burden. This study found that risk of BCRL differs by race, age, and other characteristics.

Breast cancer treatment patterns by age and time since last pregnancy in the Carolina Breast Cancer Study Phase III.

PURPOSE: To describe breast cancer treatment patterns among premenopausal women by age and time since last pregnancy. METHODS: Data were analyzed from 1179 women diagnosed with premenopausal breast cancer in the Carolina Breast Cancer Study. Of these, 160 had a recent pregnancy (within 5 years of cancer diagnosis). Relative frequency differences (RFDs) and 95% confidence intervals (CIs) were used to compare cancer stage, treatment modality received, treatment initiation delay (> 30 days), and prolonged treatment duration (> 2 to > 8 months depending on the treatment received) by age and recency of pregnancy. RESULTS: Recently postpartum women were significantly more likely to have stage III disease [RFD (95% CI) 12.2% (3.6%, 20.8%)] and to receive more aggressive treatment compared to nulliparous women. After adjustment for age, race and standard clinical tumor characteristics, recently postpartum women were significantly less likely to have delayed treatment initiation [RFD (95% CI) - 11.2% (- 21.4%, - 1.0%)] and prolonged treatment duration [RFD (95% CI) - 17.5% (- 28.0%, - 7.1%)] and were more likely to have mastectomy [RFD (95% CI) 14.9% (4.8%, 25.0%)] compared to nulliparous. Similarly, younger women (< 40 years of age) were significantly less likely to experience prolonged treatment duration [RFD (95% CI) - 5.6% (- 11.1%, - 0.0%)] and more likely to undergo mastectomy [RFD (95% CI) 10.6% (5.2%, 16.0%)] compared to the study population as a whole. CONCLUSION: These results suggest that recently postpartum and younger women often received prompt and aggressive breast cancer treatment. Higher mortality and recurrence among recently pregnant women are unlikely to be related to undertreatment.

Initiation and adherence to adjuvant endocrine therapy among urban, insured American Indian/Alaska Native breast cancer survivors.

BACKGROUND: It has been shown that racial/ethnic disparities exist with regard to initiation of and adherence to adjuvant endocrine therapy (AET). However, the relationship among American Indian/Alaska Native (AIAN) individuals is poorly understood, particularly among those who reside in urban areas. We evaluated whether AET initiation and adherence were lower among AIAN individuals than those of other races/ethnicities who were enrolled in the Kaiser Permanente of Northern California (KPNC) health system. METHODS: We identified 23,680 patients from the period 1997 to 2014 who were eligible for AET (first primary, stage I-III, hormone receptor-positive breast cancer) and used KPNC pharmacy records to identify AET prescriptions and refill dates. We assessed AET initiation (≥1 filled prescription within 1 year of diagnosis) and AET adherence (proportion of days covered ≥80%) every year up to 5 years after AET initiation. RESULTS: At the end of the 5-year follow-up period, 83% of patients were AET initiators, and 58% were AET adherent. Compared with other races/ethnicities, AIAN women had the second-lowest rate of AET initiation (non-Hispanic Black [NHB], 78.0%; AIAN, 78.6%; Hispanic, 83.0%; non-Hispanic White [NHW], 82.5%; Asian/Pacific Islander [API], 84.7%), the lowest rate of AET adherence after 1 year and 5 years of follow-up (70.3% and 50.8%, respectively), and the greatest annual decline in AET adherence during the 4- to 5-year period of follow-up (a 13.8% decrease in AET adherence [from 64.6% to 50.8%]) after initiation of AET. In adjusted multivariable models, AIAN, Hispanic, and NHB women were less likely than NHW women to be AET adherent. At the end of the 5-year period, total underutilization (combining initiation and adherence) in AET-eligible patients was greatest among AIAN (70.6%) patients, followed by NHB (69.6%), Hispanic (63.2%), NHW (58.7%), and API (52.3%) patients, underscoring the AET treatment gap. CONCLUSION: Our results suggest that AET initiation and adherence are particularly low for insured AIAN women.

Breast cancer treatment delays by socioeconomic and health care access latent classes in Black and White women.

BACKGROUND: Breast cancer mortality is higher for Black and younger women. This study evaluated 2 possible contributors to disparities-time to treatment and treatment duration-by race and age. METHODS: Among 2841 participants with stage I-III disease in the Carolina Breast Cancer Study, we identified groups of women with similar patterns of socioeconomic status (SES), access to care, and tumor characteristics using latent class analysis. We then evaluated latent classes in association with treatment delay (initiation >60 days after diagnosis) and treatment duration (in quartiles by treatment modality). RESULTS: Thirty-two percent of younger Black women were in the highest quartile of treatment duration (versus 22% of younger White women). Black women experienced a higher frequency of delayed treatment (adjusted relative frequency difference [RFD], 5.5% [95% CI, 3.2%-7.8%]) and prolonged treatment duration (RFD, 8.8% [95% CI, 5.7%-12.0%]). Low SES was significantly associated with treatment delay among White women (RFD, 3.5% [95% CI, 1.1%-5.9%]), but treatment delay was high at all levels of SES in Black women (eg, 11.7% in high SES Black women compared with 10.6% and 6.7% among low and high SES White women, respectively). Neither SES nor access to care classes were significantly associated with delayed initiation among Black women, but both low SES and more barriers were associated with treatment duration across both groups. CONCLUSIONS: Factors that influence treatment timeliness persist throughout the care continuum, with prolonged treatment duration being a sensitive indicator of differences by race, SES, and care barriers.

Integrating access to care and tumor patterns by race and age in the Carolina Breast Cancer Study, 2008-2013.

PURPOSE: Understanding breast cancer mortality disparities by race and age is complex due to disease heterogeneity, comorbid disease, and the range of factors influencing access to care. It is important to understand how these factors group together within patients. METHODS: We compared socioeconomic status (SES) and comorbidity factors in the Carolina Breast Cancer Study Phase 3 (CBCS3, 2008-2013) to those for North Carolina using the 2010 Behavioral Risk Factor Surveillance Study. In addition, we used latent class analysis of CBCS3 data to identify covariate patterns by SES/comorbidities, barriers to care, and tumor characteristics and examined their associations with race and age using multinomial logistic regression. RESULTS: Major SES and comorbidity patterns in CBCS3 participants were generally similar to patterns in the state. Latent classes were identified for SES/comorbidities, barriers to care, and tumor characteristics that varied by race and age. Compared to white women, black women had lower SES (odds ratio (OR) 6.3, 95% confidence interval (CI) 5.2, 7.8), more barriers to care (OR 5.6, 95% CI 3.9, 8.1) and several aggregated tumor aggressiveness features. Compared to older women, younger women had higher SES (OR 0.5, 95% CI 0.4, 0.6), more barriers to care (OR 2.1, 95% CI 1.6, 2.9) and aggregated tumor aggressiveness features. CONCLUSIONS: CBCS3 is representative of North Carolina on comparable factors. Patterns of access to care and tumor characteristics are intertwined with race and age, suggesting that interventions to address disparities will need to target both access and biology.

Correlates of Alcohol-Related Treatment Among American Indians and Alaska Natives with Lifetime Alcohol Use Disorder.

BACKGROUND: To describe sociodemographic and selected psychiatric disorder patterns and estimate correlates of seeking alcohol treatment among American Indians and Alaska Natives (AIAN) and non-Hispanic Whites (NHW) with lifetime alcohol use disorder (AUD). METHODS: Data come from the 2012 to 2013 U.S. National Epidemiologic Survey on Alcohol and Related Conditions-III. We retrospectively identified participants who completed information on lifetime AUD, race/ethnicity, and seeking alcohol treatment or help for AUD. We used a generalized linear model with a log link and Poisson distribution to estimate prevalence ratios (PRs) among adults with DSM-5 lifetime AUD. We included the following correlates: race/ethnicity, sex, age, personal annual income, marital status, education, urban/rural status, U.S. region, any illegal drug use disorder, nicotine use disorder, and select mood-, anxiety-, personality-, and trauma-related disorders. RESULTS: Among AIAN, the prevalence of lifetime AUD was 46.6%. Among AIAN with lifetime AUD, 33.8% sought alcohol-related treatment. Among individuals with lifetime AUD, AIAN were associated with greater alcohol-related treatment-seeking compared to NHW (adjusted PR = 1.41 [95% CI 1.26 to 1.58]). Among AIAN with AUD, being male and age 35 to 64 were statistically significant correlates of seeking treatment or help for AUD. CONCLUSIONS: A relatively higher proportion of AIAN than NHW with AUDs sought alcohol treatment. Among individuals with lifetime AUD, significant demographic and psychiatric disorder correlates of treatment are present, showing that certain groups are less likely to seek treatment or help for alcohol-related issues. Among AIAN with AUD, these correlates may reflect distinct patterns of seeking alcohol-related treatment, which can inform more effective treatment promotion efforts with this population.

Association Between Lifetime Posttraumatic Stress Disorder and Past Year Alcohol Use Disorder Among American Indians/Alaska Natives and Non-Hispanic Whites.

BACKGROUND: Posttraumatic stress disorder (PTSD) and alcohol use disorder disproportionately impact certain populations including American Indians/Alaska Natives (AIAN). While PTSD and alcohol use disorder have been studied both separately and in tandem, less is known about the association in AIAN. The objective was to examine the association between lifetime PTSD and past year alcohol use disorder among AIAN and non-Hispanic Whites (NHW). METHODS: Data come from the 2012 to 2013 U.S. National Epidemiologic Survey on Alcohol and Related Conditions-III. We used logistic regression to estimate odds of AUD among adults with and without PTSD by race. RESULTS: A total of 19,705 participants, of whom 511 were AIAN and 19,194 were NHW, were included in this study. The percentage of PTSD among AIAN was 22.9% (n = 117) compared to 11.7% (n = 2,251) in NHW (p-value <0.0001). The percentage of past year alcohol use disorder among AIAN was 20.2% (n = 103) compared to 14.2% (n = 2,725) in NHW (p-value <0.0001). The percentage of comorbid past year alcohol use disorder with lifetime PTSD among AIAN was 6.5% (n = 33) compared to 2.4% (n = 457) in NHW (p-value <0.0001). Regarding the joint distribution of PTSD and AUD, AIAN men have greater than 3 times the percentage compared to NHW men (9.5% vs. 3.1%). When stratifying by race (after adjusting for age, sex, depression, and education), among AIAN, the odds of past year alcohol use disorder with (vs. without) lifetime PTSD were 1.76 (95% CI 1.07, 2.90) and among NHW, the odds were 1.59 (95% CI 1.41, 1.80). CONCLUSIONS: PTSD is significantly associated with alcohol use disorder in the study populations. Despite a lack of pre-PTSD measures of alcohol use disorder, these findings show a trend indicating that AIAN exposed to PTSD are more burdened with alcohol use disorder compared to NHW in the general U.S.

Reliability and validity of PROMIS measures administered by telephone interview in a longitudinal localized prostate cancer study.

PURPOSE: To evaluate the reliability and validity of six PROMIS measures (anxiety, depression, fatigue, pain interference, physical function, and sleep disturbance) telephone-administered to a diverse, population-based cohort of localized prostate cancer patients. METHODS: Newly diagnosed men were enrolled in the North Carolina Prostate Cancer Comparative Effectiveness and Survivorship Study. PROMIS measures were telephone-administered pre-treatment (baseline), and at 3-months and 12-months post-treatment initiation (N = 778). Reliability was evaluated using Cronbach's alpha. Dimensionality was examined with bifactor models and explained common variance (ECV). Ordinal logistic regression models were used to detect potential differential item functioning (DIF) for key demographic groups. Convergent and discriminant validity were assessed by correlations with the legacy instruments Memorial Anxiety Scale for Prostate Cancer and SF-12v2. Known-groups validity was examined by age, race/ethnicity, comorbidity, and treatment. RESULTS: Each PROMIS measure had high Cronbach's alpha values (0.86-0.96) and was sufficiently unidimensional. Floor effects were observed for anxiety, depression, and pain interference measures; ceiling effects were observed for physical function. No DIF was detected. Convergent validity was established with moderate to strong correlations between PROMIS and legacy measures (0.41-0.77) of similar constructs. Discriminant validity was demonstrated with weak correlations between measures of dissimilar domains (-0.20--0.31). PROMIS measures detected differences across age, race/ethnicity, and comorbidity groups; no differences were found by treatment. CONCLUSIONS: This study provides support for the reliability and construct validity of six PROMIS measures in prostate cancer, as well as the utility of telephone administration for assessing HRQoL in low literacy and hard-to-reach populations.

Characterizing Cancer Burden in the American Indian Population in North Carolina.

BACKGROUND: The American Indian (AI) population in North Carolina has limited access to the Indian Health Service. Consequently, cancer burden and disparities may differ from national estimates. We describe the AI cancer population and examine AI-White disparities in cancer incidence and mortality. METHODS: We identified cancer cases diagnosed among adult AI and White populations between 2014 and 2018 from the North Carolina Central Cancer Registry. We estimated incidence and mortality rate ratios (IRR and MRR) by race. In addition, between the AI and White populations, we estimated the ratio of relative frequency differences [RRF, with 95% confidence limits (CL)] of clinical and sociodemographic characteristics. Finally, we evaluated the geographic distribution of incident diagnoses among AI populations. RESULTS: Our analytic sample included 2,161 AI and 204,613 White individuals with cancer. Compared with the White population, the AI population was more likely to live in rural areas (48% vs. 25%; RRF, 1.89; 95% CL, 1.81-1.97) and to have Medicaid (18% vs. 7%; RRF, 2.49; 95% CL, 2.27-2.71). Among the AI population, the highest age-standardized incidence rates were female breast, followed by prostate and lung and bronchus. Liver cancer incidence was significantly higher among the AI population than White population (IRR, 1.27; 95% CL, 1.01-1.59). AI patients had higher mortality rates for prostate (MRR, 1.72; CL, 1.09-2.70), stomach (MRR, 1.82; 95% CL, 1.15-2.86), and liver (MRR, 1.70; 95% CL, 1.25-2.33) cancers compared with White patients. CONCLUSIONS: To reduce prostate, stomach, and liver cancer disparities among AI populations in North Carolina, multi-modal interventions targeting risk factors and increasing screening and treatment are needed. IMPACT: This study identifies cancer disparities that can inform targeted interventions to improve outcomes among AI populations in North Carolina.

Disparities in OncotypeDx Testing and Subsequent Chemotherapy Receipt by Geography and Socioeconomic Status.

BACKGROUND: OncotypeDx is a prognostic and predictive genomic assay used in early-stage hormone receptor-positive, HER2- (HR+/HER2-) breast cancer. It is used to inform adjuvant chemotherapy decisions, but not all eligible women receive testing. We aimed to assess variation in testing by demographics and geography, and to determine whether testing was associated with chemotherapy. METHODS: For 1,615 women in the Carolina Breast Cancer Study with HR+/HER2-, Stage I-II tumors, we estimated prevalence differences (PD) and 95% confidence intervals (CI) for receipt of OncotypeDx genomic testing in association with and sociodemographic characteristics. We assessed associations between testing and chemotherapy receipt overall and by race. Finally, we calculated the proportion of eligible women receiving OncotypeDx by county-level rurality, census tract-level socioeconomic status, and Area Health Education Center regions. RESULTS: 38% (N = 609) of potentially eligible women were tested, with lower testing prevalences in Black (31%; PD, -11%; 95% CI, -16%-6%) and low-income women (24%; PD, -20%; 95% CI, -29% to -11%) relative to non-Black and higher income women. Urban participants were less likely to be tested than rural participants, though this association varied by region. Among women with low genomic risk tumors, tested participants were 29% less likely to receive chemotherapy than untested participants (95% CI, -40% to -17%). Racial differences in chemotherapy were restricted to untested women. CONCLUSIONS: Both individual and area-level socioeconomics predict likelihood of OncotypeDx testing. IMPACT: Variable adoption of OncotypeDx by socioeconomics and across geographic settings may contribute to excess chemotherapy among patients with HR+/HER2- cancers. See related In the Spotlight, p. 635.

Job loss, return to work, and multidimensional well-being after breast cancer treatment in working-age Black and White women.

PURPOSE: Breast cancer survivorship has improved in recent decades, but few studies have assessed the patterns of employment status following diagnosis and the impact of job loss on long-term well-being in ethnically diverse breast cancer survivors. We hypothesized that post-treatment employment status is an important determinant of survivor well-being and varies by race and age. METHODS: In the Carolina Breast Cancer Study, 1646 employed women with primary breast cancer were longitudinally evaluated for post-diagnosis job loss and overall well-being. Work status was classified as "sustained work," "returned to work," "job loss," or "persistent non-employment." Well-being was assessed by the Functional Assessment of Cancer Therapy (FACT-G) instrument. Analysis of covariance was used to evaluate the association between work status and well-being (physical, functional, social, and emotional). RESULTS: At 25 months post-diagnosis, 882 (53.6%) reported "sustained work," 330 (20.1%) "returned to work," 162 (9.8%) "job loss," and 272 (16.5%) "persistent non-employment." Nearly half of the study sample (46.4%) experienced interruptions in work during 2 years post-diagnosis. Relative to baseline (5-month FACT-G), women who sustained work or returned to work had higher increases in all well-being domains than women with job loss and persistent non-employment. Job loss was more common among Black than White women (adjusted odds ratio = 3.44; 95% confidence interval 2.37-4.99) and was associated with service/laborer job types, lower education and income, later stage at diagnosis, longer treatment duration, and non-private health insurance. However, independent of clinical factors, job loss was associated with lower well-being in multiple domains. CONCLUSIONS: Work status is commonly disrupted in breast cancer survivors, but sustained work is associated with well-being. Interventions to support women's continued employment after diagnosis are an important dimension of breast cancer survivorship. IMPLICATIONS FOR CANCER SURVIVORS: Our findings indicate that work continuation and returning to work may be a useful measure for a range of wellbeing concerns, particularly among Black breast cancer survivors who experience greater job loss.

Trends in Mortality From Poisonings, Firearms, and All Other Injuries by Intent in the US, 1999-2020.

Importance: Although deaths due to external causes are a leading cause of mortality in the US, trends over time by intent and demographic characteristics remain poorly understood. Objective: To examine national trends in mortality rates due to external causes from 1999 to 2020 by intent (homicide, suicide, unintentional, and undetermined) and demographic characteristics. External causes were defined as poisonings (eg, drug overdose), firearms, and all other injuries, including motor vehicle injuries and falls. Given the repercussions of the COVID-19 pandemic, US death rates for 2019 and 2020 were also compared. Design, Setting, and Participants: Serial cross-sectional study using national death certificate data obtained from the National Center for Health Statistics and including all external causes of 3 813 894 deaths among individuals aged 20 years or older from January 1, 1999, to December 31, 2020. Data analysis was conducted from January 20, 2022, to February 5, 2023. Exposures: Age, sex, and race and ethnicity. Main Outcomes and Measures: Trends in age-standardized mortality rates and average annual percentage change (AAPC) in rates calculated by intent (suicide, homicide, unintentional, and undetermined), age, sex, and race and ethnicity for each external cause. Results: Between 1999 and 2020, there were 3 813 894 deaths due to external causes in the US. From 1999 to 2020, poisoning death rates increased annually (AAPC, 7.0%; 95% CI, 5.4%-8.7%). From 2014 to 2020, poisoning death rates increased the most among men (APC, 10.8%; 95% CI, 7.7%-14.0%). During the study period, poisoning death rates increased in all the racial and ethnic groups examined; the most rapid increase was among American Indian and Alaska Native individuals (AAPC, 9.2%; 95% CI, 7.4%-10.9%). During the study period, death rates for unintentional poisoning had the most rapid rate of increase (AAPC, 8.1%; 95% CI, 7.4%-8.9%). From 1999 to 2020, firearm death rates increased (AAPC, 1.1%; 95% CI, 0.7%-1.5%). From 2013 to 2020, firearm mortality increased by an average of 4.7% annually (95% CI, 2.9%-6.5%) among individuals aged 20 to 39 years. From 2014 to 2020, mortality from firearm homicides increased by an average of 6.9% annually (95% CI, 3.5%-10.4%). From 2019 to 2020, mortality rates from external causes accelerated further, largely from increases in unintentional poisoning, and homicide due to firearms and all other injuries. Conclusions and Relevance: Results of this cross-sectional study suggest that from 1999 to 2020, death rates due to poisonings, firearms, and all other injuries increased substantially in the US. The rapid increase in deaths due to unintentional poisonings and firearm homicides is a national emergency that requires urgent public health interventions at the local and national levels.

Hospitalization and Mortality Outcomes Among Childhood Cancer Survivors by Race, Ethnicity, and Time Since Diagnosis.

Importance: Cancer outcomes are relatively poor in adults who belong to minoritized racial and ethnic groups. Survival and long-term outcomes by race and ethnicity in individuals with childhood cancers are less studied. Objective: To evaluate survival and hospitalization among American Indian and Alaska Native, Asian, Black, and Hispanic children compared with non-Hispanic White children with cancer. Design, Setting, and Participants: This cohort study evaluated all individuals born in Washington State who were younger than 20 years (hereafter referred to as children) and had been diagnosed with cancer during 1987 to 2012, with follow-up ranging from 1 to 27 years. The data subset was built in 2019, and statistical analyses were completed in January 2022. Exposures: Race and ethnicity. Main Outcomes and Measures: Mortality and hospitalization events for all other racial and ethnic groups relative to non-Hispanic White children estimated by Cox proportional hazards regressions for the first 5 years after diagnosis and among cancer survivors 5 or more years after diagnosis. Results: A total of 4222 children (mean [SD] age, 8.4 [6.4] years; 2199 [52.1%] male; 113 American Indian and Alaska Native [2.7%], 311 Asian [7.4%], 196 Black [4.6%], 387 Hispanic [9.2%], and 3215 non-Hispanic White [76.1%]) with cancer diagnosed at younger than 20 years during 1987 to 2012 were included. Mortality was similar across all groups. Compared with non-Hispanic White survivors at less than 5 years after diagnosis, there were no greatly increased hazard ratios (HRs) for hospitalization. Among survivors at 5 or more years after diagnosis, hospitalization HRs were 1.7 (95% CI, 1.0-3.0) for American Indian and Alaska Native survivors and 1.5 (95% CI, 0.9-2.4) for Black survivors. Significantly increased HRs among Hispanic children were observed for infection-related (HR, 1.4; 95% CI, 1.2-1.6), endocrine-related (HR, 1.3; 95% CI, 1.1-1.6), hematologic-related (HR, 1.3; 95% CI, 1.1-1.5), respiratory-related (HR, 1.3; 95% CI, 1.0-1.5), and digestive-related (HR, 1.2; 95% CI, 1.0-1.5) conditions. American Indian and Alaskan Native children had increased HRs for infection-related (HR, 2.3; 95% CI, 1.2-4.5), hematologic-related (HR, 3.0; 95% CI, 1.4-6.5), and digestive-related (HR, 2.6; 95% CI, 1.3-5.4) conditions. Both American Indian and Alaska Native (HR, 3.6; 95% CI, 1.4-9.0) and Black (HR, 2.5; 95% CI, 1.2-5.5) children had increased mental health-related hospitalizations and death. Conclusions and Relevance: In this cohort study, disproportionately increased long-term risks of hospitalization for physical and mental conditions may have contributed to worse outcomes by race. A key component to bridging the morbidity gap by race is improved understanding of reasons for greater cause-specific hospitalizations in some groups, with development of culturally appropriate intervention strategies.

Socioeconomic status, access to care, risk factor patterns, and stage at diagnosis for head and neck cancer among black and white patients.

BACKGROUND: Little is known about how factors combine to influence progression of squamous cell carcinoma of the head and neck (HNSCC). We aimed to evaluate multidimensional influences of factors associated with HNSCC stage by race. METHODS: Using retrospective data, patients with similar socioeconomic status (SES), access to care (travel time/distance), and behavioral risk factors (tobacco/alcohol use and dental care) were grouped by latent class analysis. Relative frequency differences (RFD) were calculated to evaluate latent classes by stage, race, and p16 status. RESULTS: We identified three latent classes. Advanced T-stage was higher for black (RFD = +20.2%; 95% CI: -4.6 to 44.9) than white patients (RFD = +10.7%; 95% CI: 2.1-19.3) in the low-SES/high-access/high-behavioral risk class and higher for both black (RFD = +29.6%; 95% CI: 4.7-54.5) and white patients (RFD = +23.9%; 95% CI: 15.2-32.6) in the low-SES/low-access/high-behavioral risk class. CONCLUSION: Results suggest that SES, access to care, and behavioral risk factors combine to underly the association with advanced T-stage. Additionally, differences by race warrant further investigation.

Integrating biology and access to care in addressing breast cancer disparities: 25 years' research experience in the Carolina Breast Cancer Study.

PURPOSE OF REVIEW: To review research on breast cancer mortality disparities, emphasizing research conducted in the Carolina Breast Cancer Study, with a focus on challenges and opportunities for integration of tumor biology and access characteristics across the cancer care continuum. RECENT FINDINGS: Black women experience higher mortality following breast cancer diagnosis, despite lower incidence compared to white women. Biological factors, such as stage at diagnosis and breast cancer subtypes, play a role in these disparities. Simultaneously, social, behavioral, environmental, and access to care factors are important. However, integrated studies of biology and access are challenging and it is uncommon to have both data types available in the same study population. The central emphasis of Phase 3 of the Carolina Breast Cancer Study, initiated in 2008, was to collect rich data on biology (including germline and tumor genomics and pathology) and health care access in a diverse study population, with the long term goal of defining intervention opportunities to reduce disparities across the cancer care continuum. SUMMARY: Early and ongoing research from CBCS has identified important interactions between biology and access, leading to opportunities to build greater equity. However, sample size, population-specific relationships among variables, and complexities of treatment paths along the care continuum pose important research challenges. Interdisciplinary teams, including experts in novel data integration and causal inference, are needed to address gaps in our understanding of breast cancer disparities.

Patterns of medication adherence in a multi-ethnic cohort of prevalent statin users diagnosed with breast, prostate, or colorectal cancer.

PURPOSE: To investigate the implications of a cancer diagnosis on medication adherence for pre-existing comorbid conditions, we explored statin adherence patterns prior to and following a new diagnosis of breast, colorectal, or prostate cancer among a multi-ethnic cohort. METHODS: We identified adults enrolled at Kaiser Permanente Northern California who were prevalent statin medication users, newly diagnosed with breast, colorectal, or prostate cancer between 2000 and 2012. Statin adherence was measured using the proportion of days covered (PDC) during the 2-year pre-cancer diagnosis and the 2-year post-cancer diagnosis. Adherence patterns were assessed using generalized estimating equations, for all cancers combined and stratified by cancer type and race/ethnicity, adjusted for demographic, clinical, and tumor characteristics. RESULTS: Among 10,177 cancer patients, statin adherence decreased from pre- to post-cancer diagnosis (adjusted odds ratio (ORadj):0.91, 95% confidence interval (95% CI):0.88-0.94). Statin adherence decreased from pre- to post-cancer diagnosis among breast (ORadj:0.94, 95% CI:0.90-0.99) and colorectal (ORadj:0.79, 95% CI:0.74-0.85) cancer patients. No difference in adherence was observed among prostate cancer patients (ORadj:1.01, 95% CI:0.97-1.05). Prior to cancer diagnosis, adherence to statins was generally higher among non-Hispanic whites and multi-race patients than other groups. However, statin adherence after diagnosis decreased only among these two populations (ORadj:0.85, 95% CI:0.85-0.92 and ORadj:0.86, 95% CI:0.76-0.97), respectively. CONCLUSIONS: We found substantial variation in statin medication adherence following diagnosis by cancer type and race/ethnicity among a large cohort of prevalent statin users in an integrated health care setting. IMPLICATIONS FOR CANCER SURVIVORS: Improving our understanding of comorbidity management and polypharmacy across diverse cancer patient populations is warranted to develop tailored interventions that improve medication adherence and reduce disparities in health outcomes.

Disparities in Prostate, Lung, Breast, and Colorectal Cancer Survival and Comorbidity Status among Urban American Indians and Alaskan Natives.

Cancer is the second leading cause of death among American Indians and Alaskan Natives (AIAN), although cancer survival information in this population is limited, particularly among urban AIAN. In this retrospective cohort study, we compared all-cause and prostate, breast, lung, and colorectal cancer-specific mortality among AIAN (n = 582) and non-Hispanic white (NHW; n = 82,696) enrollees of Kaiser Permanente Northern California (KPNC) diagnosed with primary invasive breast, prostate, lung, or colorectal cancer from 1997 to 2015. Tumor registry and other electronic health records provided information on sociodemographic, comorbidity, tumor, clinical, and treatment characteristics. Cox regression models were used to estimate adjusted survival curves and hazard ratios (HR) with 95% confidence intervals (CI). AIAN had a significantly higher comorbidity burden compared with NHW (P < 0.05). When adjusting for patient, disease characteristics, and Charlson comorbidity scores, all-cause mortality and cancer-specific mortality were significantly higher for AIAN than NHW patients with breast cancer (HR, 1.47; 95% CI, 1.13-1.92) or with prostate cancer (HR, 1.87; 95% CI, 1.14-3.06) but not for AIAN patients with lung and colorectal cancer. Despite approximately equal access to preventive services and cancer care in this setting, we found higher mortality for AIAN than NHW with some cancers, and a greater proportion of AIAN cancer patients with multiple comorbid conditions. This study provides severely needed information on the cancer experience of the 71% of AIANs who live in urban areas and access cancer care outside of the Indian Health Services, from which the vast majority of AIAN cancer information comes. Cancer Res; 77(23); 6770-6. ©2017 AACR.