Evidence map›Paper›PMID 35705844›Full record

ArticleJournal of racial and ethnic health disparities2023

Acculturation and Cardiometabolic Abnormalities Among Chinese and Korean Americans.

Brittany N Morey, Soomin Ryu, Yuxi Shi, Hye Won Park, Sunmin Lee

Registry-linked trialOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03481296 (Culturally Adapted Multilevel Decision Support Navigation Trial To Reduce Colorectal Cancer Disparity Among At-Risk Asian American Primary Care Patients), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% 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.

NCT03481296 nacompletednot on this map

Culturally Adapted Multilevel Decision Support Navigation Trial To Reduce Colorectal Cancer Disparity Among At-Risk Asian American Primary Care Patients

TypeinterventionalSponsorUniversity of California, IrvineRan2018 to 2021Enrolled400ConditionsColorectal CancerArmsAdvanced Control, Culturally-Adapted Decision Support Navigation Intervention
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Cardiometabolic Health in Asian American Children.medRxiv : the preprint server for health sciences · 2023
    Article
  6. 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 2 institutions in 1 country.

Brittany N MoreyProgram in Public Health, Department of Health, Society, & Behavior, University of California, Irvine, 653 E. Peltason Dr., Anteater Instruction and Research Building (AIRB) 2022, Irvine, CA, 92697-3957, USA. brittany.morey@uci.edu.ORCID 0000-0002-2637-1227
Soomin RyuSchool of Public Policy, University of Maryland, College Park, MD, USA.
Yuxi ShiDepartment of Medicine, School of Medicine, University of California, Irvine, Irvine, CA, USA.
Hye Won ParkDepartment of Medicine, School of Medicine, University of California, Irvine, Irvine, CA, USA.
Sunmin LeeDepartment of Medicine, School of Medicine, University of California, Irvine, Irvine, CA, USA.
University of California, Irvine · USUniversity of Maryland, College Park · US

Funding

Culturally Adapted Multilevel Decision Support Navigation Trial to Reduce Colorectal Cancer Disparity among At-Risk Asian American Primary Care PatientsR01MD012778 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI LEE, SUNMIN · 2017 to 2022
$4.0M
NIMHD NIH HHS R01 MD012778NIMHD NIH HHS R01MD012778
6 · The paper itself

Abstract

backgroundStudies generally show that higher acculturation is associated with greater cardiovascular disease (CVD) risk among immigrants in the United States (US). However, few studies have compared how proxies of acculturation are differentially associated with metabolic abnormalities measured using objective biomarkers, self-reported diagnosis, and medication use, particularly among East Asian Americans.

methodsSurvey data and biomarker measurements collected from random (non-fasting) blood samples of Chinese and Korean immigrants in the US (n = 328) were used to examine the associations between two proxies for acculturation (years living in the US and English speaking proficiency) with three cardiometabolic abnormalities (high triglyceride levels, diabetes, and hypercholesterolemia). Poisson regression models estimated prevalence ratios adjusted for demographic characteristics, socioeconomic factors, and body mass index. Gender, Asian subgroup, and household income were tested as potential effect modifiers.

resultsLiving longer in the US was associated with greater likelihood of having high triglycerides. In addition, living longer in the US was associated with greater likelihood of diabetes for people with lower household income and greater likelihood of hypercholesterolemia for people with higher household income. Higher level of English proficiency was less consistently associated with higher cardiometabolic risk, although there was a significant association with greater likelihood of hypercholesterolemia.

conclusionsLonger time lived in the US is associated with higher risk of cardiometabolic abnormalities among Chinese and Korean Americans. Future studies of acculturation and cardiometabolic risk should carefully consider potential mechanisms and what proxy measures of acculturation capture. TRIAL REGISTRATION NUMBER: NCT03481296, date of registration: 3/29/2018.

Indexed as

AcculturationAsianCardiovascular DiseasesDiabetes MellitusHypercholesterolemiaHyperlipidemiasEast Asian PeopleEmigrants and ImmigrantsHumansTime FactorsUnited StatesAcculturationAsian AmericansCardiometabolic diseaseDiabetesHypercholesterolemiaImmigrants

Identifiers

PMID35705844
PMCPMC9200372
OpenAlexW4282974838

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.