Evidence map›Paper›PMID 40661251›Full record

ArticleBMJ public health2025

Racial and ethnic disparities in preventive care among adults with type 1 diabetes: findings from the 2022 Behavioural Risk Factor Surveillance System.

Julie A Wagner, Angela Bermúdez-Millán, Richard Feinn

Abstract read
In one paragraph

Article in BMJ public health, 2025. 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
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

1 citing paper in PubMed.

  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

3 authors.

Julie A WagnerDivision of Behavioral Sciences and Community Health, University of Connecticut School of Dental Medicine, Farmington, Connecticut, USA.ORCID https://orcid.org/0000-0002-1439-8940
Angela Bermúdez-MillánDepartment of Public Health Sciences, University of Connecticut School of Medicine, Farmington, Connecticut, USA.
Richard FeinnQuinnipiac University, Hamden, Connecticut, USA.ORCID https://orcid.org/0000-0002-4158-7640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The population of adults with type 1 diabetes mellitus (T1DM) is rising, yet little is known about care for this population. The purpose of this study was to examine racial/ethnic disparities in care among adults with T1DM. Methods: The 2022 Behavioural Risk Factor Surveillance System (BRFSS) was the first year that individuals endorsing diabetes were asked to delineate which type. We examined differences in frequency of A1C monitoring, recency of screening for eye complications, recency of receipt of diabetes self-management education, and status of vaccinations. All models included age, sex and health insurance status as covariates. Results: There was a total of 1050 (0.2%) participants from the BRFSS database who met the inclusion criteria; 34% were minoritised, 52% male, 67% between 31 and 70 years old, 53% had a high school education or less and 89% had health insurance. In complex sample analyses to account for stratification and sampling, non-Hispanic whites (NHWs) were the reference group. An overall pattern emerged of non-Hispanic Blacks (NHBs) and American Indian/Native Americans (AI/NA), and to a lesser extent Hispanics, having lower rates of preventive care measures compared with NHWs. People who identified as NHB had significantly lower rates for some vaccines. Hispanics had worse rates of eye screening. NHBs and AI/NA had fewer A1C checks. In contrast, individuals reporting 'other' race, who were predominantly multiracial, tended to show slightly higher rates of eye screening and diabetes education compared with NHWs. Conclusions: Strategies to ameliorate disparities in preventive care for adults with T1DM are needed. Researchers are encouraged to delineate type of diabetes and to report race and ethnicity data in as granular a fashion as possible, including multiracial respondents.

Indexed as

Preventive MedicinePublic HealthSociodemographic Factors

Identifiers

PMID40661251
PMCPMC12258308

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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.