Evidence map›Paper›PMID 41754198›Full record

Trial reportNutrients2026

Effects of a Text Message-Based Lifestyle Intervention on HbA1c and Health Behaviors in Older Adults with Prediabetes.

Jung Hun Lee, Hee Jin Kim, Kang Hyun Lee

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 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

3 authors.

Jung Hun LeeDepartment of Digital Healthcare Convergence, Songho University, Hoengseong 25242, Republic of Korea.ORCID 0000-0002-4799-6277
Hee Jin KimDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Kang Hyun LeeDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.ORCID 0000-0001-9664-9186

Funding

Ministry of Education 2025-RISE-10-014
6 · The paper itself

Abstract

BACKGROUND/

objectivesPrediabetes (PD) does not always progress to type 2 diabetes; however, lifestyle modification and weight loss are recommended to prevent disease progression. This study aimed to determine whether a text message-based intervention for older adults with PD in South Korea could reduce glycated hemoglobin (HbA1c) levels and promote healthy habits.

methodsA randomized controlled trial with two parallel groups was conducted and approved by the Institutional Review Board of Wonju Severance Christian Hospital (IRB No: CR321379). A text message intervention was provided only to the intervention group for six months, while the control group was advised to maintain their usual daily routines. The text messages covered the following categories: nutrition, exercise, medical knowledge, lifestyle, and self-reflective thoughts.

resultsA total of 96 participants aged 50 years and older underwent clinical measurements, completed the Korean Health Habits Questionnaire, and were assessed for quality of life at baseline and after the intervention. HbA1c, waist circumference, and fasting blood glucose decreased significantly in both groups (

conclusionsText message-based interventions may serve as an effective adjunctive self-management strategy to improve HbA1c levels and promote healthy habits in older adults with prediabetes.

Indexed as

Glycated HemoglobinHealth BehaviorLife StylePrediabetic StateText MessagingAgedBlood GlucoseDiabetes Mellitus, Type 2ExerciseFemaleHumansMaleMiddle AgedQuality of LifeRepublic of KoreaBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humandigital health interventionmHealthprediabetesself-managementtext messaging

Identifiers

PMID41754198
PMCPMC12943114

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.