Faculty Bibliography

BACKGROUND:Linkage to medical services is key to early detection, diagnosis, and care for dementia. Yet, racial and ethnic minoritized older adults and their caregivers are particularly vulnerable to inequity in dementia care due to limited dementia literacy. Mobilizing community resources such as community health workers (CHWs) can benefit older patients and their caregivers who are challenged by linguistic barriers and low health literacy. METHODS:Preparing for healthy aging through dementia Literacy education And Navigation (PLAN), is a CHW-led intervention program designed to promote linkage to medical services for dementia and caregiver outcomes in a multi-site clinical trial in the Greater Washington and New York metropolitan areas. This protocol describes the rationale, design, and methods of the PLAN trial. CONCLUSION/CONCLUSIONS:We recruited 288 dyads of eligible Korean American older adults with undiagnosed dementia and their caregivers, totaling 576 participants. Data collection is ongoing. Findings from this trial will contribute to knowledge around identifying community-dwelling older adults with probable dementia with limited health resources as well as navigating appropriate medical evaluation and support. CLINICALTRIALS/RESULTS:gov identifier: NCT03909347.

BACKGROUND:Asian New York City (NYC) residents have the lowest cancer screening uptake across race and ethnicity. Few studies have examined screening differences across Asian ethnic subgroups in NYC. METHODS:Cross-sectional survey data were analyzed using multivariable logistic and multinomial regression analyses. Differences among Chinese, Korean, and South Asian adults in breast, cervical, and colorectal cancer (CRC) screening uptake; breast and CRC screening knowledge; and cancer fatalism were examined. Associations between breast and CRC screening knowledge and their uptake were also assessed along with associations between cancer fatalism and breast, cervical, and CRC screening uptake. RESULTS:Korean women reported 0.52 (95%CI: 0.31, 0.89) times lower odds of Pap test uptake compared to Chinese women; South Asian adults had 0.43 (95%CI: 0.24, 0.79) times lower odds of CRC screening uptake compared to Chinese adults. Korean adults reported 1.80 (95%CI: 1.26, 2.58) times higher odds of knowing the correct age to begin having mammograms compared to Chinese adults; and South Asian adults had 0.67 (95%CI: 0.47, 0.96) times lower odds of knowing the correct age to begin CRC screening compared to Chinese adults. Korean adults had 0.37 (95%CI: 0.27, 0.53) times lower odds of reporting cancer fatalism compared to Chinese adults. CONCLUSIONS:Low cancer screening uptake among Asian American adults, low screening knowledge, and high cancer fatalism were found. Cancer screening uptake, knowledge, and fatalism varied by ethnic subgroup. IMPACT/CONCLUSIONS:Findings indicate the need for ethnic-specific cultural and linguistic tailoring for future cancer screening interventions.

PURPOSE/OBJECTIVE:To report osteoporosis screening utilization rates among Asian American (AsA) populations in the USA. METHODS:We retrospectively assessed the use of dual-energy X-ray absorptiometry (DXA) screening using the Medicare 5% Research Identifiable Files. Using Current Procedural Terminology (CPT) codes indicative of a DXA scan, we identified patients recommended for DXA screening according to the ACR-SPR-SSR Practice Parameters (females ≥ 65 years, males ≥ 70 years). Sociodemographic factors and their association with screening were evaluated using chi-square tests. RESULTS:There were 80,439 eligible AsA beneficiaries, and 12,102 (15.1%) received osteoporosis screening. DXA rate for women was approximately four times greater than the rate for men (19.8% vs. 5.0%; p < 0.001). AsA beneficiaries in zip codes with higher mean household income (MHI) were more likely to have DXA than those in lower MHI areas (17.6% vs. 14.3%, p < 0.001). AsA beneficiaries aged < 80 were more likely to receive DXA (15.5%) than those aged ≥ 80 (14.1%, p < 0.001). There were 2,979,801 eligible non-AsA beneficiaries, and 496,957 (16.7%) received osteoporosis screening during the study period. Non-Hispanic white beneficiaries had the highest overall screening rate (17.5%), followed by North American Native (13.0%), Black (11.8%), and Hispanic (11.1%) beneficiaries. Comparing AsA to non-AsA populations, there were significantly lower DXA rates among AsA beneficiaries when controlling for years of Medicare eligibility, patient age, sex, location, and mean income (p < 0.001). CONCLUSION/CONCLUSIONS:We found lower than expected DXA screening rates for AsA patients. A better understanding of the barriers and facilitators to AsA osteoporosis screening is needed to improve patient care.

BACKGROUND:Asian Americans have the lowest colorectal cancer screening uptake of any racial and ethnic group in the United States. Asian Indians are among the most under-screened Asian American subgroups, but there is limited data for this population. We sought to characterize predictors of colonoscopy use among Asian Indians in New York City. METHODS:Using 2003 to 2016 data from the New York City Community Health Survey, we identified all Asian Indian participants aged 50 years or older. We examined the association between sociodemographic and medical factors and up-to-date colonoscopy use (defined as colonoscopy within the last 10 y) using logistic regression over 4 time periods: 2003 to 2008, 2009 to 2012, 2013 to 2014, 2015 to 2016. RESULTS:On multivariable analysis, language, age, income, recent exercise, body mass index, and influenza vaccination were associated with colonoscopy uptake in 1 time period. Compared with participants who preferred English, those who preferred an Indian language were less likely to have been up-to-date in 2013 to 2014 (odds ratio 0.12, 95% CI 0.02-0.66). Individuals older than 65 years were more likely than those aged 50 to 64 years to have received a colonoscopy in 2009 to 2012 (odds ratio 3.91, 95% CI 1.49-10.24), although the risk estimates were also consistently positive in the other 3 time periods. CONCLUSIONS:Among Asian Indians living in New York City, several demographic, socioeconomic, and health-related characteristics predict colonoscopy use. These findings highlight the importance of examining determinants of colonoscopy uptake in this understudied population to inform future public health interventions.

BACKGROUND:Colorectal cancer screening uptake in the United States overall has increased, but racial/ethnic disparities persist and data on colonoscopy uptake by racial/ethnic subgroups are lacking. We sought to better characterize these trends and to identify predictors of colonoscopy uptake, particularly among Asian and Hispanic subgroups. STUDY/METHODS:We used data from the New York City Community Health Survey to generate estimates of up-to-date colonoscopy use in Asian and Hispanic subgroups across 6 time periods spanning 2003-2016. For each subgroup, we calculated the percent change in colonoscopy uptake over the study period and the difference in uptake compared to non-Hispanic Whites in 2015-2016. We also used multivariable logistic regression to identify predictors of colonoscopy uptake. RESULTS:All racial and ethnic subgroups with reliable estimates saw a net increase in colonoscopy uptake between 2003 and 2016. In 2015-2016, compared with non-Hispanic Whites, Puerto Ricans, Dominicans, and Central/South Americans had higher colonoscopy uptake, whereas Chinese, Asian Indians, and Mexicans had lower uptake. On multivariable analysis, age, marital status, insurance status, primary care provider, receipt of flu vaccine, frequency of exercise, and smoking status were the most consistent predictors of colonoscopy uptake (≥4 time periods). CONCLUSIONS:We found significant variation in colonoscopy uptake among Asian and Hispanic subgroups. We also identified numerous demographic, socioeconomic, and health-related predictors of colonoscopy uptake. These findings highlight the importance of examining health disparities through the lens of disaggregated racial/ethnic subgroups and have the potential to inform future public health interventions.

OBJECTIVE:Despite the within-group heterogeneity, Asian American (AA) and Native Hawaiian and Pacific Islander (NH/PI) patients are often grouped together. We compared the patterns of guideline-concordant care for locally advanced cervical cancer for disaggregated AA and NH/PI patients. METHODS:Patients with stage II-IVA cervical cancer between 2004 and 2020 were identified from the National Cancer Database. AA patients were disaggregated as East Asian (EA), South Asian (SA), and Southeast Asian (SEA). NH/PI patients were classified as a distinct racial subgroup. The primary outcome was the proportion undergoing guideline-concordant care, defined by radiation therapy with concurrent chemotherapy, brachytherapy, and completion of treatment within eight weeks. RESULTS:Of 48,116 patients, 2107 (4%) were AA and 171 (<1%) were NH/PI. Of the AA patients, 36% were SEA, 31% were EA, 12% were SA, and 21% could not be further disaggregated due to missing or unknown data. NH/PI patients were more likely to be diagnosed at an early age (53% NH/PI vs. 30% AA, p < 0.001) and have higher rates of comorbidities (18% NH/PI vs. 14% AA, p < 0.001). Within the AA subgroups, only 82% of SEA patients received concurrent chemotherapy compared to 91% of SA patients (p = 0.026). SA patients had the longest median OS (158 months) within the AA subgroups compared to SEA patients (113 months, p < 0.001). CONCLUSION/CONCLUSIONS:Disparities exist in the receipt of standard of care treatment for cervical cancer by racial and ethnic subgroups. It is imperative to disaggregate race and ethnicity data to understand potential differences in care and tailor interventions to achieve health equity.

The 24-hour day consists of physical activity (PA), sedentary behavior, and sleep, and changing the time spent on one activity affects the others. Little is known about the impact of such changes on cardiovascular risk, particularly in Asian American immigrant (AAI) women, who not only have a higher cardiovascular risk but also place greater cultural value on family and domestic responsibilities compared to other racial/ethnic groups. The purpose of this study was to evaluate the effects of reallocating 30 minutes of each 24-hour activity component for another on BMI, waist circumference, and blood pressure in AAI women. Seventy-five AAI women completed 7 days of hip and wrist actigraphy monitoring and were included in the analysis (age = 61.5±8.0 years, BMI = 25.5±3.6 kg/m2, waist circumference = 85.9±10.2 cm). Sleep was identified from wrist actigraphy data, and moderate-to-vigorous PA (MVPA), light PA, and sedentary behavior identified from hip actigraphy data. On average, the women spent 0.5 hours in MVPA, 6.2 hours in light PA, 10 hours in sedentary activities, and 5.3 hours sleeping within a 24-hour day. According to the isotemporal substitution models, replacing 30 minutes of sedentary behavior with MVPA reduced BMI by 1.4 kg/m2 and waist circumference by 4.0 cm. Replacing that same sedentary time with sleep reduced BMI by 0.5 kg/m2 and waist circumference by 1.4 cm. Replacing 30 minutes of light PA with MVPA decreased BMI by 1.6 kg/m2 and waist circumference by 4.3 cm. Replacing 30 minutes of light PA with sleep also reduced BMI by 0.8 kg/m2 and waist circumference by 1.7 cm. However, none of the behavioral substitutions affected blood pressure. Considering AAI women's short sleep duration, replacing their sedentary time with sleep might be a feasible strategy to reduce their BMI and waist circumference.

Improving race/ethnicity data quality is imperative to ensuring underserved populations are represented in datasets used to identify health disparities and inform healthcare policy. We performed a scoping review of methods that retrospectively improve race/ethnicity classification in secondary datasets. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, searches were conducted in MEDLINE, Embase and Web of Science Core Collection in July 2022. A total of 2,441 abstracts were dually screened, 453 full-text articles were reviewed, and 120 articles were included. Study characteristics were extracted and described in a narrative analysis, including: method type used for race/ethnicity classification; races/ethnicities targeted for classification; publication year; method inputs; reference population (if applicable); target population; and whether the article included a validation process. Six main method types for improving race/ethnicity were identified: Expert Review (n=9; 8%), Name Lists (n = 27; 23%), Name Algorithms (n=55; 46%), Machine Learning (n=14; 12%), Data Linkage (n=9; 8%), and Other (n=6; 5%). The main racial/ethnic groups targeted for classification were Asian (n = 56; 47%) and White (n = 51; 43%). Eighty-six articles (72%) included some form of validation evaluation. We discuss the strengths and limitations of different method types and potential harms of identified methods. We recommend the need for innovative methods to better identify racial/ethnic subgroups and further validation studies. Accurately collecting and reporting disaggregated data by race/ethnicity is critical to address the systematic missingness of relevant demographic data that can erroneously guide policymaking and hinder the effectiveness of healthcare practices and intervention.