Evidence map›Paper›PMID 25417433›Full record

ArticleEthnicity & disease2014

The biracial Asian population in California: an examination of health profiles and chronic conditions.

Anh Bao Nguyen, Nancy Breen, Trenette T Clark, Richard Moser

Open access · greenAbstract read
In one paragraph

Article in Ethnicity & disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 2 countries.

Anh Bao Nguyen
Nancy Breen
Trenette T Clark
Richard Moser
National Cancer Institute · MYUniversity of North Carolina at Chapel Hill · US

Funding

Substance Use Trajectories and Health Outcomes for Monoracial and Biracial BlacksK01DA035895 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GOINGS, TRENETTE CLARK · 2013 to 2017
$829k
Intramural FDA HHS FD999999NIDA NIH HHS K01 DA035895
6 · The paper itself

Abstract

objectivesTo examine health outcomes and chronic conditions for the biracial Asian population in California. We hypothesized that the biracial population will display intermediate (or an average of) outcomes in comparison to their monoracial counterparts.

designThe study was cross-sectional. After adjusting for sociodemographic variables, multivariable regression models predicted health outcomes (ie, diabetes, heart disease, high blood pressure, disability status, BMI, and general health) and compared health outcomes among various (mono- and bi-) racial and ethnic groups.

participantsData were collected from 238,897 adult (aged ≥ 18 years) respondents after merging iterations of the California Health Interview Survey (CHIS) administered in 2001, 2003, 2005, 2007, and 2009.

resultsMultivariate results revealed that Whites reported better health overall than biracial Asians and other monoracial groups. Biracial Asians displayed BMI ranges that were intermediate between their monoracial constituents.

conclusionsBMI is a more proximal health outcome and is more sensitive to lifestyles and behaviors. As a result, BMI may be a better indicator than chronic diseases in showing that biracial Asians have adopted health behaviors and practices that fall between their mono-racial counterparts. Future epidemiological research should examine the prevalence of more proximal health outcomes among biracial Asians and assess how it differs by developmental age.

Indexed as

Health StatusAdolescentAdultAgedAsianBody Mass IndexCaliforniaChronic DiseaseCross-Sectional StudiesDiabetes MellitusFemaleHealth BehaviorHealth SurveysHeart DiseasesHumansHypertension

Identifiers

PMID25417433
PMCPMC5569383
OpenAlexW2335975354

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.