Asian American Enclaves and Healthcare Accessibility: An Ecologic Study Across Five States.

INTRODUCTION: Access to primary care has been a long-standing priority for improving population health. Asian Americans, who often settle in ethnic enclaves, have been found to underutilize health care. Understanding geographic primary care accessibility within Asian American enclaves can help to ensure the long-term health of this fast-growing population. METHODS: U.S. Census data from five states (California, Florida, New Jersey, New York, and Texas) were used to develop and describe census-tract level measures of Asian American enclaves and social and built environment characteristics for years 2000 and 2010. The 2-step floating catchment area method was applied to National Provider Identifier data to develop a tract-level measure of geographic primary care accessibility. Analyses were conducted in 2022-2023, and associations between enclaves (versus nonenclaves) and geographic primary care accessibility were evaluated using multivariable Poisson regression with robust variance estimation, adjusting for potential area-level confounders. RESULTS: Of 24,482 census tracts, 26.1% were classified as Asian American enclaves. Asian American enclaves were more likely to be metropolitan and have less poverty, lower crime, and lower proportions of uninsured individuals than nonenclaves. Asian American enclaves had higher primary care accessibility than nonenclaves (adjusted prevalence ratio=1.23, 95% CI=1.17, 1.29). CONCLUSIONS: Asian American enclaves in five of the most diverse and populous states in the U.S. had fewer markers of disadvantage and greater geographic primary care accessibility. This study contributes to the growing body of research elucidating the constellation of social and built environment features within Asian American enclaves and provides evidence of health-promoting characteristics of these neighborhoods.

Neighborhood-level COVID vaccination and booster disparities: A population-level analysis across California.

Objectives: To describe vaccine and booster uptake by neighborhood-level factors in California. Methods: We examined trends in COVID-19 vaccination up to September 21, 2021, and boosters up to March 29, 2022 using data from the California Department of Public Health. Quasi-Poisson regression was used to model the association between neighborhood-level factors and fully vaccinated and boosted among ZIP codes. Sub-analyses on booster rates were compared among the 10 census regions. Results: In a minimally adjusted model, a higher proportion of Black residents was associated with lower vaccination (HR = 0.97; 95%CI: 0.96-0.98). However, in a fully adjusted model, proportion of Black, Hispanic/Latinx, and Asian residents were associated with higher vaccination rates (HR = 1.02; 95%CI: 1.01-1.03 for all). The strongest predictor of low vaccine coverage was disability (HR = 0.89; 95%CI: 0.86-0.91). Similar trends persisted for booster doses. Factors associated with booster coverage varied by region. Conclusions: Examining neighborhood-level factors associated with COVID-19 vaccination and booster rates uncovered significant variation within the large and geographically and demographically diverse state of California. Equity-based approaches to vaccination must ensure a robust consideration of multiple social determinants of health.

Health care utilization among women of reproductive age living in public housing: Associations across six public housing sites in San Francisco.

Housing is a key social determinant of health and health care utilization. Although stigmatized due to poor quality, public housing may provide stability and affordability needed for individuals to engage in health care utilization behaviors. For low-income women of reproductive age (15-44 y), this has implications for long-term reproductive health trajectories. In a sample of 5,075 women, we used electronic health records (EHR) data from 2006 to 2011 to assess outpatient and emergency department (ED) visits across six public housing sites in San Francisco, CA. Non-publicly housed counterparts were selected from census tracts surrounding public housing sites. Multivariable regression models adjusted for age and insurance status estimated incidence rate ratios (IRR) for outpatient visits (count) and odds ratios (OR) for ED visit (any/none). We obtained race/ethnicity-specific associations overall and by public housing site. Analyses were completed in December 2020. Public housing was consistently associated with health care utilization among the combined Asian, Alaskan Native/Native American, Native Hawaiian/Pacific Islander, and Other (AANHPI/Other) group. Public housing residents had fewer outpatient visits (IRR: 0.86; 95% Confidence Interval [CI]: 0.81, 0.93) and higher odds of an ED visit (OR: 1.81; 95% CI: 1.32, 2.48). Black women had higher odds of an ED visits (OR: 1.32; 95% CI: 1.07, 1.63), but this was driven by one public housing site (site-specific OR: 2.34; 95% CI: 1.12, 4.88). Variations by race/ethnicity and public housing site are integral to understanding patterns of health care utilization among women of reproductive age to potentially improve women's long-term health trajectories.

Home mortgage discrimination and incidence of triple-negative and Luminal A breast cancer among non-Hispanic Black and non-Hispanic White females in California, 2006-2015.

PURPOSE: In the United States, Black females are burdened by more aggressive subtypes and increased mortality from breast cancer compared to non-Hispanic (NH) White females. Institutional racism may contribute to these inequities. We aimed to characterize the association between home mortgage discrimination, a novel measure of institutional racism, and incidence of Luminal A and triple-negative breast cancer (TNBC) subtypes among NH Black and NH White females in California metropolitan areas. METHODS: We merged data from the California Cancer Registry on females aged 20 + diagnosed with primary invasive breast cancer between 2006 and 2015 with a census tract-level index of home mortgage lending bias measuring the odds of mortgage loan denial for Black versus White applicants, generated from the 2007-2013 Home Mortgage Disclosure Act database. Poisson regression estimated cross-sectional associations of census tract-level racial bias in mortgage lending with race/ethnicity- and Luminal A and TNBC-specific incidence rate ratios, adjusting for neighborhood confounders. RESULTS: We identified n = 102,853 cases of Luminal A and n = 15,528 cases of TNBC over the study period. Compared to NH Whites, NH Black females had higher rates of TNBC, lower rates of Luminal A breast cancer, and lived in census tracts with less racial bias in home mortgage lending. There was no evidence of association between neighborhood racial bias in mortgage lending at the time of diagnosis and either subtype among either racial/ethnic group. CONCLUSION: Future research should incorporate residential history data with measures of institutional racism to improve estimation and inform policy interventions.

Egocentric social networks, lifestyle behaviors, and body size in the Asian Community Health Initiative (CHI) cohort.

BACKGROUND: Social networks have been shown to influence lifestyle behaviors in non-Latinx white (NLW) populations. We examined their influence in Asian American, Native Hawaiian and Pacific Islander (AANHPI) women. METHODS: We included 477 AANHPI women from the Asian Community Health Initiative Study who provided egocentric (degree, density, composition) and epidemiologic (size, types of ties) social network data and data on alcohol intake, physical activity, smoking, diet, and body size. We used logistic regression to evaluate associations of social network measures and dichotomous outcomes, and linear regression for continuous outcomes. RESULTS: In multivariable-adjusted analyses, higher degree and/or proportion of friends were significantly related to higher Western diet, higher odds of any alcohol consumption, and lower odds of physical inactivity and body mass index (BMI)≥23 kg/m2. Additionally, a higher proportion of NLW in women's networks was related to lower Asian diet but also lower waist size. Community participation was related to higher Western diet and lower Asian diet. By contrast, degree and/or proportion of relatives were positively related to BMI, waist size and to a higher odds of BMI≥23 kg/m2 and of ever smoking 100 cigarettes. Being married was related to fewer alcoholic drinks per week and higher Asian diet. A higher density of relationships with frequent contact was also associated with higher Asian diet. CONCLUSIONS: AANHPI women with larger proportions of friends and NLWs in their networks had more Western health behaviors and smaller body size. Norms for health behaviors and body size may be influenced by the size, composition, and structure of social networks, relevant to chronic disease prevention.

Age-related differences in breast cancer mortality according to race/ethnicity, insurance, and socioeconomic status.

BACKGROUND: We assessed breast cancer mortality in older versus younger women according to race/ethnicity, neighborhood socioeconomic status (nSES), and health insurance status. METHODS: The study included female breast cancer cases 18 years of age and older, diagnosed between 2005 and 2015 in the California Cancer Registry. Multivariable Cox proportional hazards modeling was used to generate hazard ratios (HR) of breast cancer specific deaths and 95% confidence intervals (CI) for older (60+ years) versus younger (< 60 years) patients separately by race/ethnicity, nSES, and health insurance status. RESULTS: Risk of dying from breast cancer was higher in older than younger patients after multivariable adjustment, which varied in magnitude by race/ethnicity (P-interaction< 0.0001). Comparing older to younger patients, higher mortality differences were shown for non-Hispanic White (HR = 1.43; 95% CI, 1.36-1.51) and Hispanic women (HR = 1.37; 95% CI, 1.26-1.50) and lower differences for non-Hispanic Blacks (HR = 1.17; 95% CI, 1.04-1.31) and Asians/Pacific Islanders (HR = 1.15; 95% CI, 1.02-1.31). HRs comparing older to younger patients varied by insurance status (P-interaction< 0.0001), with largest mortality differences observed for privately insured women (HR = 1.51; 95% CI, 1.43-1.59) and lowest in Medicaid/military/other public insurance (HR = 1.18; 95% CI, 1.10-1.26). No age differences were shown for uninsured women. HRs comparing older to younger patients were similar across nSES strata. CONCLUSION: Our results provide evidence for the continued disparity in Black-White breast cancer mortality, which is magnified in younger women. Moreover, insurance status continues to play a role in breast cancer mortality, with uninsured women having the highest risk for breast cancer death, regardless of age.

Factors Associated With Treatment of Clinical Stage I Non-Small-cell Lung Cancer: A Population-based Analysis.

BACKGROUND: The present study examined clinical stage I non-small-cell lung cancer (NSCLC) treatment in the population-based California Cancer Registry. PATIENTS AND METHODS: The characteristics associated with first clinical stage I NSCLC treatment (surgery, radiation, no local therapy) from 2003 to 2014 were identified using logistic regression. Survival was evaluated using Kaplan-Meier and Cox proportional hazard analyses. RESULTS: Surgery was used in most patients who met the inclusion criteria (14,545 of 19,893; 73.1%), although relatively similar numbers had undergone radiation (n = 2848; 14.3%) or not received therapy (n = 2500; 12.6%). Surgery use ranged from 68.5% to 77.2% patients annually. The percentage of patients with no therapy decreased from 18.1% (315 of 1737) in 2003 to 10.3% (176 of 1703) in 2014, and radiation use increased from 10.7% (185 of 1737) in 2003 to 21.2% (361 of 1703) in 2014. Patients who did not receive therapy were more likely to be older, not white, male, and unmarried, to have no insurance or public insurance other than Medicare, to live in a lower socioeconomic status neighborhood, to have been seen at a non-National Cancer Institute cancer center hospital or hospital serving lower socioeconomic status patients, and to have larger tumors. The 5-year all-cause survival after no therapy (12.7%) was significantly worse than that after surgery (64.9%) or radiation (21.5%; P < .0001). CONCLUSION: In the present population-based analysis, surgery was the most common treatment for clinical stage I NSCLC but was not used for almost 27% of patients. Radiation use increased and the proportion of patients who did not receive any therapy decreased over time.

Trends in Cancer Survival by Health Insurance Status in California From 1997 to 2014.

IMPORTANCE: There have been substantial improvements in the early detection, treatment, and survival from cancer in the United States, but it is not clear to what extent patients with different types of health insurance have benefitted from these advancements. OBJECTIVE: To examine trends in cancer survival by health insurance status from January 1997 to December 2014. DESIGN, SETTING, AND PARTICIPANTS: California Cancer Registry (a statewide cancer surveillance system) data were used to estimate population-based survival by health insurance status in 3 calendar periods: January 1997 to December 2002, January 2003 to December 2008, and January 2009 to December 2014 with follow-up through 2014. Overall, 1 149 891 patients diagnosed with breast, prostate, colorectal, or lung cancer, or melanoma in California were included in the study. MAIN OUTCOMES AND MEASURES: Five-year all-cause and cancer-specific survival probabilities by insurance category and calendar period for each cancer site and sex; hazard ratios (HRs) and 95% CIs for each insurance category (none, Medicare, other public) compared with private insurance in each calendar period. RESULTS: According to data from 1 149 891 patients diagnosed with breast, prostate, colorectal, or lung cancer, or melanoma gathered from the California Cancer Registry, improvements in survival were almost exclusively limited to patients with private or Medicare insurance. For patients with other public or no insurance, survival was largely unchanged or declined. Relative to privately insured patients, cancer-specific mortality was higher in uninsured patients for all cancers except prostate, and disparities were largest from 2009 to 2014 for breast (HR, 1.72; 95% CI, 1.45-2.03), lung (men: HR, 1.18; 95% CI, 1.06-1.31 and women: HR, 1.32; 95% CI, 1.15-1.50), and colorectal cancer (women: HR, 1.30; 95% CI, 1.05-1.62). Mortality was also higher for patients with other public insurance for all cancers except lung, and disparities were largest from 2009 to 2014 for breast (HR, 1.25; 95% CI, 1.17-1.34), prostate (HR, 1.17; 95% CI, 1.04-1.31), and colorectal cancer (men: HR, 1.16; 95% CI, 1.08-1.23 and women: HR, 1.11; 95% CI, 1.03-1.20). CONCLUSIONS AND RELEVANCE: After accounting for patient and clinical characteristics, survival disparities for men with prostate cancer and women with lung or colorectal cancer increased significantly over time, reflecting a lack of improvement in survival for patients with other public or no insurance. To mitigate these growing disparities, all patients with cancer need access to health insurance that covers all the necessary elements of health care, from prevention and early detection to timely treatment according to clinical guidelines.

Racial and Ethnic Disparities in Cancer Survival: The Contribution of Tumor, Sociodemographic, Institutional, and Neighborhood Characteristics.

Purpose Racial/ethnic disparities in cancer survival in the United States are well documented, but the underlying causes are not well understood. We quantified the contribution of tumor, treatment, hospital, sociodemographic, and neighborhood factors to racial/ethnic survival disparities in California. Materials and Methods California Cancer Registry data were used to estimate population-based cancer-specific survival for patients diagnosed with breast, prostate, colorectal, or lung cancer between 2000 and 2013 for each racial/ethnic group (non-Hispanic black, Hispanic, Asian American and Pacific Islander, and separately each for Chinese, Japanese, and Filipino) compared with non-Hispanic whites. The percentage contribution of factors to overall racial/ethnic survival disparities was estimated from a sequence of multivariable Cox proportional hazards models. Results In baseline models, black patients had the lowest survival for all cancer sites, and Asian American and Pacific Islander patients had the highest, compared with whites. Mediation analyses suggested that stage at diagnosis had the greatest influence on overall racial/ethnic survival disparities accounting for 24% of disparities in breast cancer, 24% in prostate cancer, and 16% to 30% in colorectal cancer. Neighborhood socioeconomic status was an important factor in all cancers, but only for black and Hispanic patients. The influence of marital status on racial/ethnic disparities was stronger in men than in women. Adjustment for all covariables explained approximately half of the overall survival disparities in breast, prostate, and colorectal cancer, but it explained only 15% to 40% of disparities in lung cancer. Conclusion Overall reductions in racial/ethnic survival disparities were driven largely by reductions for black compared with white patients. Stage at diagnosis had the largest effect on racial/ethnic survival disparities, but earlier detection would not entirely eliminate them. The influences of neighborhood socioeconomic status and marital status suggest that social determinants, support mechanisms, and access to health care are important contributing factors.

Recent declines in cancer incidence: related to the Great Recession?

PURPOSE: In recent years, cancer case counts in the U.S. underwent a large, rapid decline-an unexpected change given population growth for older persons at highest cancer risk. As these declines coincided with the Great Recession, we examined whether they were related to economic conditions. METHODS: Using California Cancer Registry data from California's 30 most populous counties, we analyzed trends in cancer incidence during pre-recession (1996-2007) and recession/recovery (2008-2012) periods for all cancers combined and the ten most common sites. We evaluated the recession's association with rates using a multifactorial index that measured recession impact, and modeled associations between case counts and county-level unemployment rates using Poisson regression. RESULTS: Yearly cancer incidence rate declines were greater during the recession/recovery (3.3% among males, 1.4% among females) than before (0.7 and 0.5%, respectively), particularly for prostate, lung, and colorectal cancers. Lower case counts, especially for prostate and liver cancer among males and breast cancer, melanoma, and ovarian cancer among females, were associated with higher unemployment rates, irrespective of time period, but independent of secular effects. The associations for melanoma translated up to a 3.6% decrease in cases with each 1% increase in unemployment. Incidence declines were not greater in counties with higher recession impact index. CONCLUSIONS: Although recent declines in incidence of certain cancers are not differentially impacted by economic conditions related to the Great Recession relative to pre-recession conditions, the large recent absolute declines in the case counts of some cancer may be attributable to the large declines in unemployment in the recessionary period. This may occur through decreased engagement in preventive health behaviors, particularly for clinically less urgent cancers. Continued monitoring of trends is important to detect any rises in incidence rates as deferred diagnoses come to clinical attention.

Effects of marital status and economic resources on survival after cancer: A population-based study.

BACKGROUND: Although married cancer patients have more favorable survival than unmarried patients, reasons underlying this association are not fully understood. The authors evaluated the role of economic resources, including health insurance status and neighborhood socioeconomic status (nSES), in a large California cohort. METHODS: From the California Cancer Registry, we identified 783,167 cancer patients (386,607 deaths) who were diagnosed during 2000 through 2009 with a first primary, invasive cancer of the 10 most common sites of cancer-related death for each sex and were followed through 2012. Age-stratified and stage-stratified Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for all-cause mortality associated with marital status, adjusted for cancer site, race/ethnicity, and treatment. RESULTS: Compared with married patients, unmarried patients had an elevated risk of mortality that was higher among males (HR, 1.27; 95% CI, 1.26-1.29) than among females (HR, 1.19; 95% CI, 1.18-1.20; Pinteraction < .001). Adjustment for insurance status and nSES reduced the marital status HRs to 1.22 for males and 1.15 for females. There was some evidence of synergistic effects of marital status, insurance, and nSES, with relatively higher risks observed for unmarried status among those who were under-insured and living in high nSES areas compared with those who were under-insured and living in low nSES areas (Pinteraction = 6.8 × 10(-9) among males and 8.2 × 10(-8) among females). CONCLUSIONS: The worse survival of unmarried than married cancer patients appears to be minimally explained by differences in economic resources. Cancer 2016;122:1618-25. © 2016 American Cancer Society.

Differences in marital status and mortality by race/ethnicity and nativity among California cancer patients.

BACKGROUND: It has been observed that married cancer patients have lower mortality rates than unmarried patients, but data for different racial/ethnic groups are scarce. The authors examined the risk of overall mortality associated with marital status across racial/ethnic groups and sex in data from the California Cancer Registry. METHODS: California Cancer Registry data for all first primary invasive cancers diagnosed from 2000 through 2009 for the 10 most common sites of cancer-related death for non-Hispanic whites (NHWs), blacks, Asians/Pacific Islanders (APIs), and Hispanics were used to estimate multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) for marital status in relation to overall mortality by race/ethnicity and sex. The study cohort included 393,470 male and 389,697 female cancer patients and 204,007 and 182,600 deaths from all causes, respectively, through December 31, 2012. RESULTS: All-cause mortality was higher in unmarried patients than in married patients, but there was significant variation by race/ethnicity. Adjusted HRs (95% CIs) ranged from 1.24 (95% CI, 1.23-1.26) in NHWs to 1.11 (95% CI, 1.07-1.15) in APIs among males and from 1.17 (95% CI, 1.15-1.18) in NHWs to 1.07 (95% CI, 1.04-1.11) in APIs among females. All-cause mortality associated with unmarried status compared with married status was higher in US-born API and Hispanic men and women relative to their foreign-born counterparts. CONCLUSIONS: For patients who have the cancers that contribute most to mortality, being unmarried is associated with worse overall survival compared with being married, with up to 24% higher mortality among NHW males but only 6% higher mortality among foreign-born Hispanic and API females. Future research should pursue the identification of factors underlying these associations to inform targeted interventions for unmarried cancer patients. Cancer 2016;122:1570-8. © 2016 American Cancer Society.

Dietary assessment in the California Teachers Study: reproducibility and validity.

OBJECTIVE: To evaluate the reproducibility and validity of the food-frequency questionnaire (FFQ) used in the California Teachers Study (CTS) cohort and to use this data to quantify the effects of correcting nutrient-breast cancer relative risks for measurement error. METHODS: One hundred and ninety five CTS cohort members participated in a 10-month dietary validation study that included four 24-h dietary recalls and pre- and post-study FFQs. Shrout-Fleiss intraclass correlations for reproducibility were computed. Under several standard assumptions concerning the correlations of errors in the FFQs and 24-h recalls, we calculated energy-adjusted deattenuated Pearson correlations for validity and tested for differences in validity according to a number of demographic and other risk factors. For each nutrient, we compared the performance of the FFQ versus the 24-h recalls, estimating the number of days of recalls that give equivalent information about true intake as does a single FFQ. Finally, the effects of adjustment for measurement error on risk estimates were evaluated in 44,423 postmenopausal cohort members, 1,544 of whom developed breast cancer during seven years of follow-up. Relative risks (RR) and confidence intervals (CI) were calculated using Cox proportional hazards with and without correction for measurement error. RESULTS: Reproducibility correlations for the nutrients ranged from 0.60 to 0.87. With a few exceptions, validity correlations were reasonably high (range: 0.55-0.85), including r = 0.74 for alcohol. Performance of the FFQ differed by age for percent of calories from fat and by body mass index and hormone therapy use for alcohol consumption. For most nutrients examined, our FFQ is comparable to two to six recalls for each subject in capturing true intake. In the measurement error-adjusted risk analyses, corrected RRs were within 13% of uncorrected values for all nutrients examined except for linoleic acid. For alcohol consumption the corrected RR (per 20 g/1,000 kcal/d) was 1.36 (95% CI: 1.03-1.51) compared to the uncorrected estimate of 1.25 (95% CI: 1.10-1.42). CONCLUSION: The FFQ dietary assessment used in the CTS is reproducible and valid for all nutrients except the unsaturated fatty acids. Correcting relative risk estimates for measurement error resulted in relatively small changes in the associations between the majority of nutrients and the risk of postmenopausal breast cancer.

Reliability and validity of an assessment of usual phytoestrogen consumption (United States).

OBJECTIVE: To evaluate the reliability and validity of a food-frequency questionnaire (FFQ) and database designed to quantify phytoestrogen consumption. METHODS: This study included 195 members of the California Teachers Study (CTS) cohort who, over a 10-month period, completed four 24-h dietary recalls, a pre- and post-study FFQ, and provided two 24-h urine specimens. Participants (n = 106) in a parallel study (and 18 women who dropped out of the long-term study) completed a single recall and FFQ, and provided one 24-h urine specimen. Urinary phytoestrogens were determined using liquid chromatography-mass spectrometry. Reliability and validity were evaluated using Shrout-Fleiss intraclass correlations and energy-adjusted deattenuated Pearson correlations, respectively. RESULTS: Correlations reflecting the reproducibility of the FFQ phytoestrogen assessment ranged from 0.67 to 0.81. Validity correlations (FFQ compared to dietary recalls) ranged from 0.67 to 0.79 for the major phytoestrogenic compounds (i.e., daidzein, genistein, and secoisolariciresinol) and 0.43 to 0.54 for the less common compounds. Compared to urinary levels, validity correlations ranged from 0.41 to 0.55 for the isoflavones and 0.16 to 0.21 for total lignans. CONCLUSION: Our isoflavone assessment is reproducible, valid, and an excellent tool for evaluating the relationship with disease risk in non-Asian populations. Further research is needed before these tools can accurately be used to assess lignan consumption.