Weighing in on the hidden Asian American obesity epidemic.

Stella S Yi, Simona C Kwon, Laura Wyatt, Nadia Islam, Chau Trinh-Shevrin
Author Information
  1. Stella S Yi: New York University School of Medicine, Department of Population Health, 550 First Ave., VZN 8th Floor, #844, New York, NY 10016, United States. Electronic address: stella.yi@nyumc.org.
  2. Simona C Kwon: New York University School of Medicine, Department of Population Health, 550 First Ave., VZN 8th Floor, #844, New York, NY 10016, United States.
  3. Laura Wyatt: New York University School of Medicine, Department of Population Health, 550 First Ave., VZN 8th Floor, #844, New York, NY 10016, United States.
  4. Nadia Islam: New York University School of Medicine, Department of Population Health, 550 First Ave., VZN 8th Floor, #844, New York, NY 10016, United States.
  5. Chau Trinh-Shevrin: New York University School of Medicine, Department of Population Health, 550 First Ave., VZN 8th Floor, #844, New York, NY 10016, United States.

Abstract

According to national estimates, obesity prevalence is lower in Asian Americans compared to other racial/ethnic groups, but this low prevalence may be misleading for three reasons. First, a lower body mass index (BMI) cutoff as proposed by the World Health Organization may be more appropriate to use in Asian populations. However, evidence is limited to substantiate the potential costs and burden of adopting these cutoffs. Increasing BMI in Asians (as in other racial/ethnic groups) should be considered across the spectrum of BMI, with a minimum awareness of these lower cutoffs among healthcare researchers. Second, the need for disaggregated data across Asian American subgroups is illustrated by the higher obesity (and diabetes) prevalence estimates observed in South Asian Americans. Third, prevalence of obesity should be placed in the larger context of immigration and globalization through cross-national comparisons and examination of acculturation-related factors. However these types of studies and collection of salient variables are not routinely performed. Data from a metropolitan area where many Asian Americans settle is presented as a case study to illustrate these points. Clear evidence that incorporates these three considerations is necessary for program planning and resource allocation for obesity-related disparities in this rapidly growing and diverse population.

Keywords

References

  1. J Health Care Poor Underserved. 2010 Nov;21(4):1354-81 [PMID: 21099084]
  2. Am J Public Health. 2008 Jan;98(1):70-7 [PMID: 18048787]
  3. J Immigr Minor Health. 2011 Jun;13(3):546-54 [PMID: 20411331]
  4. Diabetes Care. 2011 Jun;34(6):1249-57 [PMID: 21617109]
  5. Diabetes Care. 2011 Aug;34(8):1791-3 [PMID: 21715521]
  6. J Immigr Minor Health. 2012 Oct;14(5):890-4 [PMID: 22089979]
  7. Diabetes Care. 2013 Jan;36(1):e5 [PMID: 23264307]
  8. Appl Nurs Res. 2013 Nov;26(4):263-8 [PMID: 23928122]
  9. BMJ. 2013;347:f5446 [PMID: 24473060]
  10. Am J Public Health. 2014 Mar;104(3):520-5 [PMID: 24432919]
  11. J Gen Intern Med. 2014 Mar;29(3):455-62 [PMID: 24113806]
  12. JAMA. 2014 Feb 26;311(8):806-14 [PMID: 24570244]
  13. J Community Health. 2014 Jun;39(3):437-45 [PMID: 24276618]
  14. Prev Med. 2014 Jun;63:90-5 [PMID: 24657547]
  15. Prev Med. 2014 Aug;65:1-6 [PMID: 24736092]
  16. Obes Rev. 2002 Aug;3(3):141-6 [PMID: 12164465]
  17. Lancet. 2004 Jan 10;363(9403):157-63 [PMID: 14726171]
  18. J Nutr. 1998 Apr;128(4):701-6 [PMID: 9521631]
  19. N Engl J Med. 2011 Feb 24;364(8):719-29 [PMID: 21345101]

Grants

  1. U48DP005008/ACL HHS
  2. U54 MD000538/NIMHD NIH HHS
  3. U48 DP005008/NCCDPHP CDC HHS
  4. UL1 TR000067/NCATS NIH HHS
  5. P60MD000538/NIMHD NIH HHS
  6. U48DP005008/NCCDPHP CDC HHS
  7. UL1TR000067/NCATS NIH HHS
  8. P60 MD000538/NIMHD NIH HHS

MeSH Term

Asian
Body Mass Index
Emigrants and Immigrants
Epidemics
Humans
New York City
Obesity
United States

Word Cloud

Created with Highcharts 10.0.0AsianobesityprevalenceAmericanslowerBMIestimatesracial/ethnicgroupsmaythreeHoweverevidencecutoffsacrossAmericanAccordingnationalcomparedlowmisleadingreasonsFirstbodymassindexcutoffproposedWorldHealthOrganizationappropriateusepopulationslimitedsubstantiatepotentialcostsburdenadoptingIncreasingAsiansconsideredspectrumminimumawarenessamonghealthcareresearchersSecondneeddisaggregateddatasubgroupsillustratedhigherdiabetesobservedSouthThirdplacedlargercontextimmigrationglobalizationcross-nationalcomparisonsexaminationacculturation-relatedfactorstypesstudiescollectionsalientvariablesroutinelyperformedDatametropolitanareamanysettlepresentedcasestudyillustratepointsClearincorporatesconsiderationsnecessaryprogramplanningresourceallocationobesity-relateddisparitiesrapidlygrowingdiversepopulationWeighinghiddenepidemicAcculturationObesity

Similar Articles

Cited By (32)