Evidence map›Paper›PMID 26266574›Full record

ArticleHealth communication2016

Sources of Health Information Among Select Asian American Immigrant Groups in New York City.

Nadia S Islam, Shilpa Patel, Laura C Wyatt, Shao-Chee Sim, Runi Mukherjee-Ratnam, Kay Chun, Bhairavi Desai, S Darius Tandon, Chau Trinh-Shevrin, Henry Pollack and 1 more

Abstract read
In one paragraph

Article in Health communication, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  12. A Population Health Equity Approach Reveals Persisting Disparities in Colorectal Cancer Screening in New York City South Asian Communities.Journal of cancer education : the official journal of the American Association for Cancer Education · 2021
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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

11 authors.

Nadia S Islama Department of Population Health , New York University School of Medicine.
Shilpa Patela Department of Population Health , New York University School of Medicine.
Laura C Wyatta Department of Population Health , New York University School of Medicine.
Shao-Chee Simb Research and Evaluation Unit , Charles B. Wang Community Health Center.
Runi Mukherjee-Ratnamc Department of Psychology , SUNY Old Westbury.
Kay Chund Korean Community Services of Metro NY, Inc.
Bhairavi Desaie New York Taxi Workers Alliance.
S Darius Tandonf Northwestern Feinberg School of Medicine & Center for Community Health , Institute for Public Health and Medicine.
Chau Trinh-Shevrina Department of Population Health , New York University School of Medicine.
Henry Pollackg Department of Pediatrics , New York University School of Medicine.
Simona C Kwona Department of Population Health , New York University School of Medicine.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Research Training and Education CoreP60MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2003 to 2017
$21.2M
Institutional Clinical and Translational Science AwardUL1TR000038 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CRONSTEIN, BRUCE NEIL · 2012 to 2014
$16.8M
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
PROJECT REACH FAR (RACIAL AND ETHNIC APPROACHES TO COMMUNITY HEALTH FOR ASIAN AMERRICANS)U58DP005621 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ISLAM, NADIA S · 2014 to 2014
$1.0M
NCATS NIH HHS UL1 TR000038NCATS NIH HHS UL1 TR001445NCCDPHP CDC HHS U48 DP005008NCCDPHP CDC HHS U58 DP005621NIMHD NIH HHS P60 MD000538NIMHD NIH HHS U54 MD000538
6 · The paper itself

Abstract

Health information can potentially mitigate adverse health outcomes among ethnic minority populations, but little research has examined how minorities access health information. The aim of this study was to examine variations in the use of health information sources among Asian American (AA) subgroups and to identify differences in characteristics associated with the use of these sources. We analyzed data from a foreign-born community sample of 219 Asian Indians, 216 Bangladeshis, 484 Chinese, and 464 Koreans living in New York City. Results found that use of health information sources varied by AA subgroup. Print media source use, which included newspapers, magazines, and/or journals, was highest among Chinese (84%), Koreans (75%), and Bangladeshis (80%), while radio was most utilized by Chinese (48%) and Koreans (38%). Television utilization was highest among Bangladeshis (74%) and Koreans (64%). Koreans (52%) and Chinese (40%) were most likely to use the Internet to access health information. Radio use was best explained by older age and longer time lived in the United States, while print media were more utilized by older individuals. Results also highlighted differences in native-language versus non-native-language media sources for health information by subgroup. Media sources can be used as a vehicle to disseminate health information among AAs.

Indexed as

Information Seeking BehaviorAdultAgedAge DistributionAsianBangladeshChinaEmigrants and ImmigrantsFemaleHealth SurveysHumansInternetKoreaMaleMass MediaMiddle Aged

Identifiers

PMID26266574
PMCPMC4628554

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.