Evidence map›Paper›PMID 42350864›Full record

ArticleJournal of racial and ethnic health disparities2026

Psychological Resilience Profiles and Their Association with Socioemotional Health and HbA1c Among African American Adults with Type 2 Diabetes: A Latent Profile Analysis.

Pablo Montero-Zamora, H Matthew Lehrer, Ashley Welsh, Tianyu Wang, Natalie McLaurin, Susan Dubois, Hirofumi Tanaka, Mary Steinhardt

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In one paragraph

Article in Journal of racial and ethnic health disparities, 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.

Pablo Montero-ZamoraDepartment of Kinesiology & Health Education, The University of Texas at Austin, 2109 San Jacinto Blvd, Stop D3700, Austin, TX, 78712, USA.ORCID http://orcid.org/0000-0002-8437-2113
H Matthew LehrerDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0003-0239-5037
Ashley WelshDepartment of Kinesiology & Health Education, The University of Texas at Austin, 2109 San Jacinto Blvd, Stop D3700, Austin, TX, 78712, USA.ORCID http://orcid.org/0009-0001-2771-376X
Tianyu WangDepartment of Kinesiology & Health Education, The University of Texas at Austin, 2109 San Jacinto Blvd, Stop D3700, Austin, TX, 78712, USA.ORCID http://orcid.org/0000-0001-8602-8749
Natalie McLaurinDepartment of Kinesiology & Health Education, The University of Texas at Austin, 2109 San Jacinto Blvd, Stop D3700, Austin, TX, 78712, USA.ORCID http://orcid.org/0000-0002-1491-6576
Susan DuboisDepartment of Kinesiology & Health Education, The University of Texas at Austin, 2109 San Jacinto Blvd, Stop D3700, Austin, TX, 78712, USA.ORCID http://orcid.org/0000-0003-1188-4377
Hirofumi TanakaDepartment of Kinesiology & Health Education, The University of Texas at Austin, 2109 San Jacinto Blvd, Stop D3700, Austin, TX, 78712, USA.ORCID http://orcid.org/0000-0002-1780-7471
Mary SteinhardtDepartment of Kinesiology & Health Education, The University of Texas at Austin, 2109 San Jacinto Blvd, Stop D3700, Austin, TX, 78712, USA. msteinhardt@austin.utexas.edu.ORCID http://orcid.org/0000-0003-3203-7054

Funding

Improving Health Outcomes in African Americans with Type 2 Diabetes: A Culturally Tailored, Resilience-Based Diabetes Self-Management Education (RB-DSME) InterventionR01DK123146 · NIDDK · UNIVERSITY OF TEXAS AT AUSTIN · PI STEINHARDT, MARY A., TANAKA, HIROFUMI · 2019 to 2023
$3.3M
Characterizing Alzheimer's Risk in Retired Night Shift Workers: Cognitive Function, Brain Volume, and Brain Bioenergetics - SupplementK01AG075171 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Henry Matthew Lehrer · 2022 to 2026
$677k
NIDDK NIH HHS R01 DK123146NIH HHS K01AG075171NIH HHS R01DK123146
6 · The paper itself

Abstract

objectiveWe used a cross-sectional design with baseline data from a Type 2 diabetes (T2D) clinical trial to (1) identify resilience profiles among African American adults with T2D and (2) examine the profiles' associations with perceived social support, diabetes distress, depressive symptoms, and Hemoglobin A1c (HbA1c) levels.

methodsParticipants (n = 284, 72% women, 62 ± 11 years) recruited through churches in Central Texas completed a questionnaire assessing perceived psychological resilience, social support, diabetes distress, and depressive symptoms. HbA1c was obtained via finger-stick blood samples. We used latent profile analysis to identify resilience profiles and multinomial logistic regression to examine associations of profile classification with outcomes using relative risk ratios (RRR).

resultsDistinct resilience profiles emerged: low (12.0% of sample), moderate (48.4%), and high (39.6%). Participants with lower perceived social support (RRR = 0.60 [95% confidence interval = 0.44-0.80], p < .001) and higher diabetes distress (RRR = 1.95 [1.35-2.82], p < .001) and depressive symptoms (RRR = 1.21 [1.11-1.31], p < .001) were more likely to be classified in the low vs. high resilience profile. Classification into the low vs. high resilience profile was also associated with clinically elevated depressive symptoms (RRR = 9.11 [3.40-24.42], p < .001) and clinically elevated HbA1c (RRR = 3.45 [1.20-9.93], p < .05).

conclusionsPsychological resilience clustered into distinct subgroups, with individuals in the low resilience profile exhibiting greater socioemotional and glycemic vulnerability. Findings support incorporating resilience-enhancing content into diabetes self-management programs to better assist vulnerable individuals and reduce diabetes-related disparities.

Indexed as

Depressive symptomsDiabetes distressResilienceSocial supportStressType 2 diabetes

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.