Evidence map›Paper›PMID 42234851›Full record

ArticleJMIR diabetes2026

Social Determinants of Health Among Chinese Americans at Risk for Diabetes in a Mobile Diabetes Prevention Trial: Cross-Sectional Baseline Analysis.

Nan Jiang, Jing Liu, Haili Song, Yanan Zhao, Huilin Li, Stella S Yi, Jeannette M Beasley, Lu Hu

Abstract read
In one paragraph

Article in JMIR diabetes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Nan JiangDepartment of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY, 10016, United States, +1 (646) 501-3438.ORCID http://orcid.org/0000-0003-0714-750X
Jing LiuDepartment of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY, 10016, United States, +1 (646) 501-3438.ORCID http://orcid.org/0000-0002-3266-0690
Haili SongDepartment of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY, 10016, United States, +1 (646) 501-3438.ORCID http://orcid.org/0009-0003-3674-9769
Yanan ZhaoDepartment of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY, 10016, United States, +1 (646) 501-3438.ORCID http://orcid.org/0009-0002-6033-3168
Huilin LiDepartment of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY, 10016, United States, +1 (646) 501-3438.ORCID http://orcid.org/0000-0002-8288-7068
Stella S YiDepartment of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY, 10016, United States, +1 (646) 501-3438.ORCID http://orcid.org/0000-0002-9943-2609
Jeannette M BeasleyDepartment of Medicine, NYU Grossman School of Medicine, New York University, New York, NY, United States.ORCID http://orcid.org/0000-0002-9343-6895
Lu HuDepartment of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY, 10016, United States, +1 (646) 501-3438.ORCID http://orcid.org/0000-0003-1046-9614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prediabetes is common in the United States, and adverse social determinants of health (SDOH) are known to undermine diabetes prevention efforts. Chinese Americans experience a disproportionately high prevalence of prediabetes, yet the SDOH profiles of this population remain understudied. Objective: This study assessed SDOH among Chinese Americans at risk for diabetes and examined the associations between sociodemographic characteristics and SDOH barriers. Methods: We conducted a cross-sectional analysis of baseline survey data from the Integrating Cultural Aspects into Diabetes Education (INCLUDE) study, a randomized controlled trial of a culturally and linguistically tailored mobile diabetes prevention intervention for Chinese Americans. Participants at risk for diabetes were enrolled between April 2023 and June 2024 in New York City (N=150). Measures included in the analyses were a 14-item SDOH scale (range 0-14, with higher scores indicating more barriers) and sociodemographic characteristics. Due to the small frequencies of high SDOH scores, we collapsed the outcome into 5 categories (0, 1, 2, 3, and 4-14) to improve model stability. We first used univariable logistic regression models to examine associations between each sociodemographic factor (age, sex, years of US residence, English proficiency, education, marital status, employment status, and annual household income) and the collapsed SDOH category, followed by a multivariable ordinal regression model including all sociodemographic variables. Results: A total of 150 participants had a mean age of 49.9 (SD 12.6) years. Most were female (n=124, 82.7%), born outside the United States (n=149, 99.3%), and reported speaking English less than very well (n=132, 88.0%). Among respondents to the SDOH items (n=149), the mean SDOH score was 2.4 (SD 2.3), and 81.9% (n=122) reported at least 1 SDOH barrier. The three most frequently reported barriers were (1) the need to improve English proficiency, reading skills, or educational attainment (n=77, 51.7%); (2) experiences of racial discrimination (n=49, 32.9%); and (3) adverse housing conditions (n=38, 25.5%). After collapsing the original SDOH score, 27 (18.2%) participants had a score of 0, 39 (26.2%) had a score of 1, 23 (15.4%) had a score of 2, 27 (18.2%) had a score of 3, and 33 (22.1%) had scores of 4 to 14. In the multivariable analysis, female sex (vs male) was associated with higher SDOH score categories (odds ratio 3.83, 95% CI 1.65-9.16; P=.002). Conclusions: SDOH-related barriers were prevalent among Chinese Americans at risk for diabetes. Diabetes prevention efforts should incorporate routine SDOH screening and structured resource navigation or referral pathways, with particular attention to subgroups at higher risk, such as female individuals.

Indexed as

Chinese Americandiabetesmobile healthprediabetessocial determinants of health

Identifiers

PMID42234851
PMCPMC13232781

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.