Evidence map›Paper›PMID 41282838›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Psycho-social and behavioral trends in Type 2 Diabetes self-management amongst medically underserved patients during the COVID-19 pandemic in an mHealth intervention.

Elizabeth Campbell, Haomiao Jia, Andrea Cassells, T J Lin, Jacqueline Cortez Lainez, Jonathan Tobin, Arlene Smaldone, Pooja Desai, George Hripcsak, Lena Mamykina

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

10 authors.

Elizabeth CampbellCenter for Outbreak Response Innovation, Johns Hopkins Bloomberg School of Public Health, 700 East Pratt Street, Suite 900, Baltimore, MD.
Haomiao JiaColumbia University School of Nursing, New York, NY USA.
Andrea CassellsClinical Directors Network, New York, NY, USA.
T J LinClinical Directors Network, New York, NY, USA.
Jacqueline Cortez LainezClinical Directors Network, New York, NY, USA.
Jonathan TobinClinical Directors Network, New York, NY, USA.
Arlene SmaldoneColumbia University School of Nursing, New York, NY USA.
Pooja DesaiDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Lena MamykinaDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
Dynamically Tailoring Interventions for Problem-Solving in Diabetes Self-Management Using Self-Monitoring Data - a Randomized Controlled Trial.R01DK113189 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAMYKINA, OLENA · 2019 to 2023
$3.3M
NIDDK NIH HHS R01 DK113189NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

Objective: To examine behavioral and psychosocial aspects of Type 2 Diabetes Mellitus (T2DM) self-management among medically underserved adults during the COVID-19 pandemic. Materials and Methods: Baseline data were analyzed from T2 Coach, a randomized controlled trial testing a behavioral mHealth intervention using a conversational agent to support T2DM self-management. Participants (n=279) were recruited from Federally Qualified Health Centers in underserved areas of the New York City metropolitan area (2020-2023). Measures included demographics, HbA1c, BMI, mobile device proficiency, and validated surveys assessing self-care adherence (SCI-R), self-efficacy, diabetes distress (PAID), and pandemic-related experiences (e.g., food insecurity, dietary and exercise changes). Multiple linear regression models examined associations between demographic, clinical, and COVID-19-related variables with SCI-R, self-efficacy, PAID, and HbA1c outcomes. Results: Participants were primarily female (60.6%), Hispanic (63.4%), and foreign-born (65.9%), with substantial socioeconomic disadvantage (43.7% Medicaid enrollment; 42.7% food insecurity). Mean HbA1c was 10.1 (SD 1.7). Pandemic-related disruptions were common: 18.7% ate more, 34.5% exercised less, and ~40% changed food purchasing habits. Regression models indicated that poorer self-reported health and dietary changes were linked to higher distress and lower self-efficacy. Increased exercise predicted better adherence (higher SCI-R), and women demonstrated stronger adherence than men. Older age was associated with lower HbA1c. Digital literacy was not associated with self-management outcomes. Discussion: COVID-19 exacerbated challenges to diabetes self-management among underserved populations, particularly through lifestyle disruptions and psychosocial stressors. Conclusion: Findings underscore the need for culturally responsive, technology-enabled interventions that address diet, exercise, and emotional well-being to improve diabetes outcomes during public health crises.

Indexed as

Health BehaviorHealth EquitymHealthType 2 Diabetes

Identifiers

PMID41282838
PMCPMC12636663

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.