1
|
Kamtam DN, Shrager JB. We should be considering lung cancer screening for never-smoking Asian American females. J Thorac Cardiovasc Surg 2024; 168:272-277.e1. [PMID: 37844730 DOI: 10.1016/j.jtcvs.2023.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 10/18/2023]
Affiliation(s)
- Devanish N Kamtam
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif
| | - Joseph B Shrager
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif; Department of Surgery, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif.
| |
Collapse
|
2
|
Guan A, Talingdan AS, Tanjasiri SP, Kanaya AM, Gomez SL. Lessons Learned from Immigrant Health Cohorts: A Review of the Evidence and Implications for Policy and Practice in Addressing Health Inequities among Asian Americans, Native Hawaiians, and Pacific Islanders. Annu Rev Public Health 2024; 45:401-424. [PMID: 38109517 DOI: 10.1146/annurev-publhealth-060922-040413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
The health of Asian Americans, Native Hawaiians, and Pacific Islanders (AANHPI) is uniquely impacted by structural and social determinants of health (SSDH) shaped by immigration policies and colonization practices, patterns of settlement, and racism. These SSDH also create vast heterogeneity in disease risks across the AANHPI population, with some ethnic groups having high disease burden, often masked with aggregated data. Longitudinal cohort studies are an invaluable tool to identify risk factors of disease, and epidemiologic cohort studies among AANHPI populations have led to seminal discoveries of disease risk factors. This review summarizes the limited but growing literature, with a focus on SSDH factors, from seven longitudinal cohort studies with substantial AANHPI samples. We also discuss key information gaps and recommendations for the next generation of AANHPI cohorts, including oversampling AANHPI ethnic groups; measuring and innovating on measurements of SSDH; emphasizing the involvement of scholars from diverse disciplines; and, most critically, engaging community members to ensure relevancy for public health, policy, and clinical impact.
Collapse
Affiliation(s)
- Alice Guan
- Department of Epidemiology & Biostatistics, University of California, San Francisco, California, USA;
| | - Ac S Talingdan
- Department of Epidemiology & Biostatistics, University of California, San Francisco, California, USA;
| | - Sora P Tanjasiri
- Department of Health, Society, and Behavior, and Chao Family Comprehensive Cancer Center, University of California, Irvine, California, USA
| | - Alka M Kanaya
- Department of Epidemiology & Biostatistics, University of California, San Francisco, California, USA;
- Department of Medicine, University of California, San Francisco, California, USA
| | - Scarlett L Gomez
- Department of Epidemiology & Biostatistics, University of California, San Francisco, California, USA;
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, USA
| |
Collapse
|
3
|
Blechter B, Wong JYY, Chien LH, Shiraishi K, Shu XO, Cai Q, Zheng W, Ji BT, Hu W, Rahman ML, Jiang HF, Tsai FY, Huang WY, Gao YT, Han X, Steinwandel MD, Yang G, Daida YG, Liang SY, Gomez SL, DeRouen MC, Diver WR, Reddy AG, Patel AV, Le Marchand L, Haiman C, Kohno T, Cheng I, Chang IS, Hsiung CA, Rothman N, Lan Q. Age at lung cancer diagnosis in females versus males who never smoke by race and ethnicity. Br J Cancer 2024; 130:1286-1294. [PMID: 38388856 PMCID: PMC11014844 DOI: 10.1038/s41416-024-02592-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND We characterized age at diagnosis and estimated sex differences for lung cancer and its histological subtypes among individuals who never smoke. METHODS We analyzed the distribution of age at lung cancer diagnosis in 33,793 individuals across 8 cohort studies and two national registries from East Asia, the United States (US) and the United Kingdom (UK). Student's t-tests were used to assess the study population differences (Δ years) in age at diagnosis comparing females and males who never smoke across subgroups defined by race/ethnicity, geographic location, and histological subtypes. RESULTS We found that among Chinese individuals diagnosed with lung cancer who never smoke, females were diagnosed with lung cancer younger than males in the Taiwan Cancer Registry (n = 29,832) (Δ years = -2.2 (95% confidence interval (CI):-2.5, -1.9), in Shanghai (n = 1049) (Δ years = -1.6 (95% CI:-2.9, -0.3), and in Sutter Health and Kaiser Permanente Hawai'i in the US (n = 82) (Δ years = -11.3 (95% CI: -17.7, -4.9). While there was a suggestion of similar patterns in African American and non-Hispanic White individuals. the estimated differences were not consistent across studies and were not statistically significant. CONCLUSIONS We found evidence of sex differences for age at lung cancer diagnosis among individuals who never smoke.
Collapse
Affiliation(s)
- Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Li-Hsin Chien
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
- Department of Applied Mathematics, Chung-Yuan Christian University, Chung-Li, Taiwan
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
- Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Hsin-Fang Jiang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Xijing Han
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mark D Steinwandel
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Yihe G Daida
- Center for Integrated Health Care Research, Kaiser Permanente Hawai'i, Honolulu, HI, USA
| | - Su-Ying Liang
- Palo Alto Medical Foundation Research Institute, Sutter Health, Palo Alto, CA, USA
| | - Scarlett L Gomez
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Mindy C DeRouen
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Ananya G Reddy
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | | | - Christopher Haiman
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Iona Cheng
- Greater Bay Area Cancer Registry, University of California, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| |
Collapse
|
4
|
VoPham T, White AJ, Jones RR. Geospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era. Cancer Epidemiol Biomarkers Prev 2024; 33:451-460. [PMID: 38566558 PMCID: PMC10996842 DOI: 10.1158/1055-9965.epi-23-1237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/11/2023] [Accepted: 01/29/2024] [Indexed: 04/04/2024] Open
Abstract
Geospatial science is the science of location or place that harnesses geospatial tools, such as geographic information systems (GIS), to understand the features of the environment according to their locations. Geospatial science has been transformative for cancer epidemiologic studies through enabling large-scale environmental exposure assessments. As the research paradigm for the exposome, or the totality of environmental exposures across the life course, continues to evolve, geospatial science will serve a critical role in determining optimal practices for how to measure the environment as part of the external exposome. The objectives of this article are to provide a summary of key concepts, present a conceptual framework that illustrates how geospatial science is applied to environmental epidemiology in practice and through the lens of the exposome, and discuss the following opportunities for advancing geospatial science in cancer epidemiologic research: enhancing spatial and temporal resolutions and extents for geospatial data; geospatial methodologies to measure climate change factors; approaches facilitating the use of patient addresses in epidemiologic studies; combining internal exposome data and geospatial exposure models of the external exposome to provide insights into biological pathways for environment-disease relationships; and incorporation of geospatial data into personalized cancer screening policies and clinical decision making.
Collapse
Affiliation(s)
- Trang VoPham
- Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Alexandra J. White
- Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Rena R. Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Department of Health and Human Services, Bethesda, Maryland
| |
Collapse
|
5
|
Gomez SL, Cheng I. Next-generation epidemiologic cohorts for cancer aetiology. Nat Rev Cancer 2024; 24:93-94. [PMID: 38102343 DOI: 10.1038/s41568-023-00652-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Affiliation(s)
- Scarlett Lin Gomez
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
| | - Iona Cheng
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| |
Collapse
|
6
|
Yu Y, Qiao L, Han J, Wang W, Kang W, Zhang Y, Shang S, Meng R, Zhuo L, Zhan S, Xi Y, Wang S. Integrated database-based Screening Cohort for Asian Nomadic descendants in China (Scan-China): Insights on prospective ethnicity-focused cancer screening. Epidemiol Health 2023; 45:e2023048. [PMID: 37080725 PMCID: PMC10593583 DOI: 10.4178/epih.e2023048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 03/29/2023] [Indexed: 04/22/2023] Open
Abstract
Established in 2017, the Screening Cohort for Asian Nomadic descendants in China (Scan-China) has benefited over 180,000 members of a multi-ethnic population, particularly individuals of Mongolian descent compared with the general population (Han ethnicity), in the Inner Mongolia Autonomous Region, China. This cohort study aims to evaluate the effectiveness of cancer screening and serve as a real-world data platform for cancer studies. The 6 most prevalent cancers in China are considered-namely, breast, lung, colorectal, gastric, liver and esophageal cancer. After baseline cancer risk assessments and screening tests, both active and passive follow-up (based on the healthcare insurance database, cancer registry, the front page of hospital medical records, and death certificates) will be conducted to trace participants' onset and progression of cancers and other prevalent chronic diseases. Scan-China has preliminarily found a disproportionately lower screening participation rate and higher incidence/mortality rates of esophageal and breast cancer among the Mongolian population than among their Han counterparts. Further research will explore the cancer burden, natural history, treatment patterns, and risk factors of the target cancers.
Collapse
Affiliation(s)
- Yuelin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Liying Qiao
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Jing Han
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Weiwei Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Weiwei Kang
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Yunjing Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Shu Shang
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Ruogu Meng
- National Institute of Health Data Science, Peking University, Beijing, China
| | - Lin Zhuo
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yunfeng Xi
- Center for Disease Control and Prevention in Inner Mongolia, Hohhot, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| |
Collapse
|
7
|
Hong JH, Swami N, Dee EC, Gomez SL, Lam MB. Non-small cell lung cancer disparities in stage at presentation and treatment for Asian American, Native Hawaiian, and Pacific Islander women. J Surg Oncol 2023; 127:882-890. [PMID: 36719164 DOI: 10.1002/jso.27204] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/06/2023] [Accepted: 01/17/2023] [Indexed: 02/01/2023]
Abstract
BACKGROUND AND OBJECTIVES Asian Americans, Native Hawaiians, and Pacific Islanders (AANHPI) represent the fastest-growing group in the United States. While described in aggregate, great variations exist within the community. We aimed to determine whether there were differences in stage at presentation and treatment status among AANHPI women with non-small cell lung cancer (NSCLC). METHODS Between 2004 and 2016, we identified 522 361 female patients with newly diagnosed NSCLC from the National Cancer Database. Multivariable logistic regression models were used to define adjusted odds ratios (aORs) of presenting with stage IV disease and not receiving treatment. RESULTS AANHPI women were more likely to present with stage IV disease compared to White (54.32% vs. 40.28%, p < 0.001). Aside from Hawaiian, Pakistani, and Hmong women, all other ethnic groups had greater odds of presenting with stage IV disease than White women. AANHPI women <65 years were more likely to present with stage IV disease (p = 0.030). Only Vietnamese women showed a significant difference (aOR = 1.30 [1.06-1.58], p = 0.010) for likelihood of receiving treatment compared to White. CONCLUSIONS Differences in stage at presentation and treatment status in women with NSCLC were observed among AANHPI ethnic groups when populations were disaggregated.
Collapse
Affiliation(s)
- Ji Hyun Hong
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Nishwant Swami
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Edward Christopher Dee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Scarlett Lin Gomez
- Department of Epidemiology & Biostatistics and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, USA
| | - Miranda B Lam
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana Farber Cancer Institute, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
8
|
Pinheiro PS, Callahan KE, Medina HN, Koru-Sengul T, Kobetz EN, Gomez SL, de Lima Lopes G. Lung cancer in never smokers: Distinct population-based patterns by age, sex, and race/ethnicity. Lung Cancer 2022; 174:50-56. [PMID: 36334356 DOI: 10.1016/j.lungcan.2022.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/23/2022] [Accepted: 10/24/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Epidemiological patterns for lung cancer among never smokers (LCNS) are largely unknown, even though LCNS cases comprise 15% of lung cancers. Past studies were based on epidemiologic or health system cohorts, and not fully representative of the underlying population. The objective was to analyze rates (and trends) of LCNS by sex, age group, and race and ethnicity based on all-inclusive truly population-based sources. MATERIALS AND METHODS Individual-level data from 2014 to 2018 on smoking status among microscopically-confirmed lung cancer cases from Florida's cancer registry were combined with population denominators adjusted with NHIS data on smoking prevalence to compute population-based LCNS incidence rates and rate ratios. Incidence rates and proportional mortality were ranked against other cancers. Joinpoint regression analyses examined trends. RESULTS Proportions of LCNS ranged from 9% among White men to 83% among Chinese women. Overall, LCNS was 13% (IRR 1.13, 95%CI 1.08-1.17) more common among men than women, but variation occurred by age group, with female rates exceeding male in younger ages. Age-adjusted rates per 100,000 were highest among Asian/Pacific Islander (API) men and women (15.3 and 13.5, respectively) and Black populations (14.6, 12.9), intermediate for White (13.2, 11.8) and lowest among the Hispanic population (12.1, 10.6). Among API women, LCNS was the second leading cause of cancer death, surpassed only by breast cancer. LCNS trends were stable over time. CONCLUSION LCNS is the 11th most frequently occurring cancer in men and 8th in women. LCNS differences by race/ethnicity are small, within a 15% range of the White population's rates. Surprisingly, API men and women have the highest LCNS rates and proportional mortality. As smoking prevalence decreases in the US, LCNS cases will inevitably increase, warranting inquiry into risk factors across the lifespan.
Collapse
Affiliation(s)
- Paulo S Pinheiro
- Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, United States; Department of Public Health Sciences, University of Miami School of Medicine, Miami, FL, United States.
| | - Karen E Callahan
- School of Public Health, University of Nevada Las Vegas, Las Vegas, NV, United States
| | - Heidy N Medina
- Department of Public Health Sciences, University of Miami School of Medicine, Miami, FL, United States
| | - Tulay Koru-Sengul
- Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, United States; Department of Public Health Sciences, University of Miami School of Medicine, Miami, FL, United States
| | - Erin N Kobetz
- Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, United States; Department of Public Health Sciences, University of Miami School of Medicine, Miami, FL, United States
| | - Scarlett Lin Gomez
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Gilberto de Lima Lopes
- Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL, United States
| |
Collapse
|
9
|
Kanaya AM, Hsing AW, Panapasa SV, Kandula NR, Araneta MRG, Shimbo D, Wang P, Gomez SL, Lee J, Narayan KMV, Mau MKLM, Bose S, Daviglus ML, Hu FB, Islam N, Jackson CL, Kataoka-Yahiro M, Kauwe JSK, Liu S, Ma GX, Nguyen T, Palaniappan L, Setiawan VW, Trinh-Shevrin C, Tsoh JY, Vaidya D, Vickrey B, Wang TJ, Wong ND, Coady S, Hong Y. Knowledge Gaps, Challenges, and Opportunities in Health and Prevention Research for Asian Americans, Native Hawaiians, and Pacific Islanders: A Report From the 2021 National Institutes of Health Workshop. Ann Intern Med 2022; 175:574-589. [PMID: 34978851 PMCID: PMC9018596 DOI: 10.7326/m21-3729] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Asian Americans (AsA), Native Hawaiians, and Pacific Islanders (NHPI) comprise 7.7% of the U.S. population, and AsA have had the fastest growth rate since 2010. Yet the National Institutes of Health (NIH) has invested only 0.17% of its budget on AsA and NHPI research between 1992 and 2018. More than 40 ethnic subgroups are included within AsA and NHPI (with no majority subpopulation), which are highly diverse culturally, demographically, linguistically, and socioeconomically. However, data for these groups are often aggregated, masking critical health disparities and their drivers. To address these issues, in March 2021, the National Heart, Lung, and Blood Institute, in partnership with 8 other NIH institutes, convened a multidisciplinary workshop to review current research, knowledge gaps, opportunities, barriers, and approaches for prevention research for AsA and NHPI populations. The workshop covered 5 domains: 1) sociocultural, environmental, psychological health, and lifestyle dimensions; 2) metabolic disorders; 3) cardiovascular and lung diseases; 4) cancer; and 5) cognitive function and healthy aging. Two recurring themes emerged: Very limited data on the epidemiology, risk factors, and outcomes for most conditions are available, and most existing data are not disaggregated by subgroup, masking variation in risk factors, disease occurrence, and trajectories. Leveraging the vast phenotypic differences among AsA and NHPI groups was identified as a key opportunity to yield novel clues into etiologic and prognostic factors to inform prevention efforts and intervention strategies. Promising approaches for future research include developing collaborations with community partners, investing in infrastructure support for cohort studies, enhancing existing data sources to enable data disaggregation, and incorporating novel technology for objective measurement. Research on AsA and NHPI subgroups is urgently needed to eliminate disparities and promote health equity in these populations.
Collapse
Affiliation(s)
- Alka M Kanaya
- University of California, San Francisco, San Francisco, California (A.M.K., S.L.G., T.N., J.Y.T.)
| | - Ann W Hsing
- Stanford University, Stanford, California (A.W.H., P.W., L.P.)
| | | | | | | | - Daichi Shimbo
- Columbia University Irving Medical Center, New York, New York (D.S.)
| | - Paul Wang
- Stanford University, Stanford, California (A.W.H., P.W., L.P.)
| | - Scarlett L Gomez
- University of California, San Francisco, San Francisco, California (A.M.K., S.L.G., T.N., J.Y.T.)
| | - Jinkook Lee
- University of Southern California, Los Angeles, California (J.L., V.W.S.)
| | | | | | - Sonali Bose
- Icahn School of Medicine at Mount Sinai, New York, New York (S.B., B.V.)
| | | | - Frank B Hu
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts (F.B.H.)
| | - Nadia Islam
- New York University Grossman School of Medicine, New York, New York (N.I., C.T.)
| | - Chandra L Jackson
- National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, Maryland (C.L.J.)
| | | | | | - Simin Liu
- Brown University, Providence, Rhode Island (S.L.)
| | - Grace X Ma
- Temple University, Philadelphia, Pennsylvania (G.X.M.)
| | - Tung Nguyen
- University of California, San Francisco, San Francisco, California (A.M.K., S.L.G., T.N., J.Y.T.)
| | | | - V Wendy Setiawan
- University of Southern California, Los Angeles, California (J.L., V.W.S.)
| | - Chau Trinh-Shevrin
- New York University Grossman School of Medicine, New York, New York (N.I., C.T.)
| | - Janice Y Tsoh
- University of California, San Francisco, San Francisco, California (A.M.K., S.L.G., T.N., J.Y.T.)
| | | | - Barbara Vickrey
- Icahn School of Medicine at Mount Sinai, New York, New York (S.B., B.V.)
| | - Thomas J Wang
- University of Texas Southwestern Medical Center, Dallas, Texas (T.J.W.)
| | - Nathan D Wong
- University of California, Irvine, Irvine, California (N.D.W.)
| | - Sean Coady
- National Heart, Lung, and Blood Institute, Bethesda, Maryland (S.C., Y.H.)
| | - Yuling Hong
- National Heart, Lung, and Blood Institute, Bethesda, Maryland (S.C., Y.H.)
| |
Collapse
|