Evidence map›Paper›PMID 31768963›Full record

ArticleJournal of racial and ethnic health disparities2020

Explaining Health Outcomes of Asian Immigrants: Does Ethnicity Matter?

Celia C Lo, Philip Q Yang, Tyrone C Cheng, William Ash-Houchen

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Article in Journal of racial and ethnic health disparities, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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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

4 citing papers in PubMed.

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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

4 authors.

Celia C LoDepartment of Sociology, Texas Woman's University, CFO 305, P. O. Box 425887, Denton, TX, 76204, USA. clo@twu.edu.ORCID 0000-0002-5785-6622
Philip Q YangDepartment of Sociology, Texas Woman's University, Denton, TX, USA.
Tyrone C ChengDepartment of Social Work and Human Services, Kennesaw State University, Kennesaw, GA, USA.
William Ash-HouchenDivision of Social Sciences and History, Delta State University, Cleveland, MS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study intended to evaluate whether 4 discrete ethnic groups of Asian immigrants could, for empirical reasons, be assigned a set of unique operating factors explaining health outcomes of members. The set comprised several acculturation, social structure, lifestyle, and health-related factors. Our study asked if these factors uniformly explained health outcomes across the 4 groups. We pooled National Health Interview Survey (NHIS) data dating 1999-2015 and developed 2 outcomes: self-rated health and self-reported chronic illness (specifically, diagnosis of cardiovascular disease, prediabetes/diabetes, hypertension, cancer, or stroke). Since data for smaller Asian ethnic groups are not readily available, we confined our analyses to respondents of Chinese, Filipino, Asian Indian, and "other Asian" ethnicity. Descriptive statistics suggested that Asian Indian respondents were least likely to report having 1 of the 5 specified serious illnesses and self-rated their health higher than the other 3 respondent groups. Additionally, while some factors (e.g., body mass index, depression) proved related to the health outcomes across the 4 ethnic groups, we did observe for each group a unique pattern of factors associated with the outcomes. Our results confirmed, furthermore, a moderating role for ethnicity in associations between the outcomes and those operating factors in the set we evaluated. The study results should be of use in tailoring preventive and intervention programs to various ethnic groups of Asian immigrants; clearly, in promoting health, one approach will not fit all.

Indexed as

Health StatusAdolescentAdultAgedAged, 80 and overAsianAsian PeopleChronic DiseaseEmigrants and ImmigrantsEthnicityFemaleHumansMaleMiddle AgedOutcome Assessment, Health CareRisk FactorsAsian IndiansChineseFilipinosOther AsiansPresence of self-reported chronic illnessSelf-rated health

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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.