Evidence map›Paper›PMID 25602909›Full record

ArticlePreventive medicine2015

Weighing in on the hidden Asian American obesity epidemic.

Stella S Yi, Simona C Kwon, Laura Wyatt, Nadia Islam, Chau Trinh-Shevrin

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
9.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
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  6. Observational
  7. Review
  8. Article
  9. Acculturation, Physical Activity, and Metabolic Syndrome in Asian American Adults.Journal of transcultural nursing : official journal of the Transcultural Nursing Society · 2022
    Article
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  19. Racial/ethnic variations in gestational weight gain: a population-based study in Ontario.Canadian journal of public health = Revue canadienne de sante publique · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Stella S YiNew 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.
Simona C KwonNew York University School of Medicine, Department of Population Health, 550 First Ave., VZN 8th Floor, #844, New York, NY 10016, United States.
Laura WyattNew York University School of Medicine, Department of Population Health, 550 First Ave., VZN 8th Floor, #844, New York, NY 10016, United States.
Nadia IslamNew York University School of Medicine, Department of Population Health, 550 First Ave., VZN 8th Floor, #844, New York, NY 10016, United States.
Chau Trinh-ShevrinNew York University School of Medicine, Department of Population Health, 550 First Ave., VZN 8th Floor, #844, New York, NY 10016, United States.
New York University · US

Funding

Research Training and Education CoreP60MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2003 to 2017
$21.2M
Mount Sinai Institutes for Clinical and Translational SciencesUL1TR000067 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAMPSON, HUGH A · 2012 to 2014
$16.5M
Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
New York University, City University of New York Health Promotion & Prevention ReU48DP005008 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THORPE, LORNA, TRINH-SHEVRIN, CHAU · 2014 to 2018
$6.9M
ACL HHS U48DP005008NCATS NIH HHS UL1 TR000067NCATS NIH HHS UL1TR000067NCCDPHP CDC HHS U48 DP005008NCCDPHP CDC HHS U48DP005008NIMHD NIH HHS P60 MD000538NIMHD NIH HHS P60MD000538NIMHD NIH HHS U54 MD000538
6 · The paper itself

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.

Indexed as

AsianBody Mass IndexEmigrants and ImmigrantsEpidemicsHumansNew York CityObesityUnited StatesAcculturationAsian AmericansObesity

Identifiers

PMID25602909
PMCPMC4410367
OpenAlexW2074749667

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.