Skip to main content
Log in

Subgroup Variation and Neighborhood Social Gradients—an Analysis of Hypertension and Diabetes Among Asian Patients (New York City, 2014–2017)

  • Published:
Journal of Racial and Ethnic Health Disparities Aims and scope Submit manuscript

Abstract

Diabetes and hypertension are socially patterned by individual race/ethnicity and by neighborhood economic context, but distributions among Asian subgroups are undercharacterized. We examined variation in prevalence for both conditions, comparing between US Asian subgroups, including within South Asian nationalities, and comparing within subgroups by neighborhood economic context. We obtained data on a non-probability sample of 633,664 patients ages 18–64 in New York City, NY, USA (2014–2017); 30,138 belonged to one of seven Asian subgroups (Asian Indian, Bangladeshi, Pakistani, Chinese, Korean, Japanese, and Filipino). We used electronic health records to classify disease status. We characterized census tract economic context using the Index of Concentration at the Extremes and estimated prevalence differences using multilevel models. Among Asian men, hypertension prevalence was highest for Filipinos. Among Asian women, hypertension prevalence was highest for Filipinas and Bangladeshis. Diabetes prevalence was highest among Pakistanis and Bangladeshis of both genders, exceeding all other Asian and non-Asian groups. There was consistent evidence of an economic gradient for both conditions, whereby persons residing in the most privileged neighborhood tertile had the lowest disease prevalence. The economic gradient was particularly strong for diabetes among Pakistanis, whose prevalence in the most deprived tertile exceeded that of the most privileged by 9 percentage points (95% CI 3, 14). Only Koreans departed from the trend, experiencing the highest diabetes prevalence in the most privileged tertile. US Asian subgroups largely demonstrate similar neighborhood economic gradients as other groups. Disaggregating Asian subgroups, including within South Asian nationalities, reveals important heterogeneity in prevalence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Watson T, Carlino G, Ellen IG. Metropolitan growth, inequality, and neighborhood segregation by income [with Comments]. Brookings-Wharton Papers on Urban Affairs. Published online 2006;1–52.

  2. Krieger N, Waterman PD, Spasojevic J, Li W, Maduro G, Van Wye G. Public health monitoring of privilege and deprivation with the index of concentration at the extremes. Am J Public Health. 2015;106(2):256–63. https://doi.org/10.2105/AJPH.2015.302955.

    Article  PubMed  Google Scholar 

  3. Feldman JM, Waterman PD, Coull BA, Krieger N. Spatial social polarisation: using the index of concentration at the extremes jointly for income and race/ethnicity to analyse risk of hypertension. J Epidemiol Community Health. 2015;69(12):1199–207. https://doi.org/10.1136/jech-2015-205728.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Pickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health. 2001;55(2):111–22. https://doi.org/10.1136/jech.55.2.111.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Kandula NR, Wen M, Jacobs EA, Lauderdale DS. Association between neighborhood context and smoking prevalence among Asian Americans. Am J Public Health. 2009;99(5):885–92. https://doi.org/10.2105/AJPH.2007.131854.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Ladabaum U, Clarke CA, Press DJ, Mannalithara A, Myer PA, Cheng I, et al. Colorectal cancer incidence in Asian populations in California: effect of nativity and neighborhood-level factors. Am J Gastroenterol. 2014;109(4):579–88. https://doi.org/10.1038/ajg.2013.488.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Lim S, Yi SS, Lundy De La Cruz N, Trinh-Shevrin C. Defining ethnic enclave and its associations with self-reported health outcomes among Asian American adults in New York City. J Immigrant Minority Health. 2017;19(1):138–46. https://doi.org/10.1007/s10903-015-0334-6.

    Article  Google Scholar 

  8. Islam NS, Khan S, Kwon S, Jang D, Ro M, Trinh-Shevrin C. Methodological issues in the collection, analysis, and reporting of granular data in Asian American populations: historical challenges and potential solutions. J Health Care Poor Underserved. 2010;21(4):1354–81. https://doi.org/10.1353/hpu.2010.0939.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Jiali Y, Rust G, Baltrus P, Daniels E. Cardiovascular risk factors among Asian Americans: results from a National Health Survey. Ann Epidemiol. 2009;19(10):718–23. https://doi.org/10.1016/j.annepidem.2009.03.022.

    Article  PubMed Central  Google Scholar 

  10. Fei K, Rodriguez-Lopez JS, Ramos M, Islam N, Trinh-Shevrin C, Yi SS, et al. Racial and ethnic subgroup disparities in hypertension prevalence, New York City Health and Nutrition Examination Survey, 2013-2014. Prev Chronic Dis. 2017;14:E33. https://doi.org/10.5888/pcd14.160478.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Health Disparities among Asian New Yorkers. New York City Department of Health and Mental Hygiene; 2018. https://www1.nyc.gov/assets/doh/downloads/pdf/epi/databrief100.pdf. Accessed 30 Sept 2019.

  12. Sohani ZN, Deng WQ, Pare G, Meyre D, Gerstein HC, Anand SS. Does genetic heterogeneity account for the divergent risk of type 2 diabetes in South Asian and white European populations? Diabetologia. 2014;57(11):2270–81. https://doi.org/10.1007/s00125-014-3354-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Al Kibria GM. Racial/ethnic disparities in prevalence, treatment, and control of hypertension among US adults following application of the 2017 American College of Cardiology/American Heart Association guideline. Prev Med Rep. 2019;14. https://doi.org/10.1016/j.pmedr.2019.100850.

  14. Williamson T, Green ME, Birtwhistle R, Khan S, Garies S, Wong ST, et al. Validating the 8 CPCSSN case definitions for chronic disease surveillance in a primary care database of electronic health records. Ann Fam Med. 2014;12(4):367–72. https://doi.org/10.1370/afm.1644.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Goldstein BA, Bhavsar NA, Phelan M, Pencina MJ. Controlling for informed presence bias due to the number of health encounters in an electronic health record. Am J Epidemiol. 2016;184(11):847–55. https://doi.org/10.1093/aje/kww112.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Massey DS. The prodigal paradigm returns: ecology comes back to sociology. Does it take a village. Published online 2001;41–48.

  17. US Census Bureau. Table H-1. Income limits for each fifth and top 5 percent. Historical income tables: households. https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-income-households.html. Accessed 28 Aug 2019.

  18. Ruggles S, Flood S, Goeken R, et al. IPUMS USA: version 8.0 [dataset], vol. 10. Minneapolis: IPUMS; 2018. p. D010.

    Google Scholar 

  19. Staimez LR, Weber MB, Narayan KMV, Oza-Frank R. A systematic review of overweight, obesity, and type 2 diabetes among Asian American subgroups. Curr Diabetes Rev. 2013;9(4):312–31.

    Article  Google Scholar 

  20. Lopez G, Ruiz N, Patten E. Key facts about Asian Americans. Pew Research Center: Fact Tank. Published September 8, 2017. https://www.pewresearch.org/fact-tank/2017/09/08/key-facts-about-asian-americans/. Accessed 29 Aug 2019.

  21. Do DP, Finch BK. The link between neighborhood poverty and health: context or composition? Am J Epidemiol. 2008;168(6):611–9. https://doi.org/10.1093/aje/kwn182.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

This study was supported by the NYU Center for the Study of Asian American Health Under the NIH National Institute on Minority Health & Health Disparities grant award #U54MD000538-15. It was additionally supported by grant award #U48DP005008 from the Centers for Disease Control and Prevention (CDC) and #R01DK110048 from the National Institute of Diabetes and Digestive and Kidney Diseases.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Justin M. Feldman.

Ethics declarations

Our study was deemed exempt from review by the NYU School of Medicine Institutional Review Board because the dataset did not contain individually identifiable patient records.

Disclaimer

The findings and conclusions in this article are solely the responsibility of the authors and may not represent the official view of the CDC, NIH, NIMHD, or NIH NIDDK.

Conflict of Interest

The authors declare that they have no conflicts of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Feldman, J.M., Conderino, S., Islam, N.S. et al. Subgroup Variation and Neighborhood Social Gradients—an Analysis of Hypertension and Diabetes Among Asian Patients (New York City, 2014–2017). J. Racial and Ethnic Health Disparities 8, 256–263 (2021). https://doi.org/10.1007/s40615-020-00779-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40615-020-00779-7

Keywords

Navigation