Evidence map›Paper›PMID 34846989›Full record

ArticleSocial work in public health2022

Ethnic and Neighborhood Differences in Poverty and Disability among Older Asian Americans in New York City.

Keith Tsz-Kit Chan, Christina Marsack-Topolewski

Open access · greenAbstract read
In one paragraph

Article in Social work in public health, 2022. 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
0.5field-weighted citation impact, top 29% 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, 5 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

2 authors at 2 institutions in 1 country.

Keith Tsz-Kit ChanSilberman School of Social Work, Hunter College, City University of New York, New York, New York, USA.ORCID 0000-0001-8951-5622
Christina Marsack-TopolewskiSchool of Social Work, Eastern Michigan University, Ypsilanti, Michigan, USA.ORCID 0000-0002-8178-2897
City University of New York · USEastern Michigan University · US

Funding

Research Education and Training CoreP30AG059304 · NIA · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI CRYSTAL, STEPHEN, HU, WILLIAM TZU-LUNG · 2018 to 2022
$3.1M
NIA NIH HHS P30 AG059304
6 · The paper itself

Abstract

Asian Americans are the fastest growing and fastest aging U.S. population, and occupy both extremes of socioeconomic and health indices. Using the 2016 NYCgov dataset, multilevel logistic regression analyses were conducted to examine the relationship of poverty, acculturation and neighborhood-level variables with disability for different ethnic groups of Asian older adults (Chinese, South Asian, Filipino, Japanese, Korean and Vietnamese) in New York City. Findings indicated that South Asian older adults had higher odds for disability compared to other ethnic groups. Living in a neighborhood with higher percentages of persons of the same ethnicity was protective for Chinese older adults only. There is an important opportunity for interprofessional collaborations through education, awareness, screening and intervening to enhance systems of care for Asian older adults. Social workers can play a pivotal role in providing key linkages to form interprofessional solutions and shared efforts to address the needs of this understudied and under-resourced population. Future research is needed to better understand how ethnic enclaves are defined, and how they can benefit different ethnic groups of vulnerable Asian older adults.

Indexed as

AsianEthnicityAgedHumansNew York CityPovertyResidence CharacteristicsAsian Americansdisabilityethnicityneighborhood contextpoverty

Identifiers

PMID34846989
PMCPMC8885869
OpenAlexW3216722504

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.