Evidence map›Paper›PMID 37162011›Full record

ArticleJournal of diabetes science and technology2023

Dietary Self-Management Using Mobile Health Technology for Adults With Type 2 Diabetes: A Scoping Review.

Yaguang Zheng, Brynne Campbell Rice, Gail D'Eramo Melkus, Mingui Sun, Susan Zweig, Wenyan Jia, Niyati Parekh, Hanbin He, YiLan Zhang, Judith Wylie-Rosett

Open access · greenAbstract readScoping Review
In one paragraph

Article in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
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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 at 3 institutions in 1 country.

Yaguang ZhengNYU Rory Meyers College of Nursing, New York, NY, USA.ORCID 0000-0002-8400-1398
Brynne Campbell RiceNYU Libraries, New York, NY, USA.ORCID 0000-0002-4396-9378
Gail D'Eramo MelkusNYU Rory Meyers College of Nursing, New York, NY, USA.
Mingui SunDepartment of Neurological Surgery Pittsburgh, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Susan ZweigDivision of Endocrinology, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Wenyan JiaDepartment of Neurological Surgery Pittsburgh, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Niyati ParekhPublic Health Nutrition Programme, School of Global Public Health, New York University, New York, NY, USA.
Hanbin HeNYU Rory Meyers College of Nursing, New York, NY, USA.
YiLan ZhangNYU Rory Meyers College of Nursing, New York, NY, USA.
Judith Wylie-RosettDivision of Health Behavior Research and Implementation Science, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA.
New York University · USUniversity of Pittsburgh · USAlbert Einstein College of Medicine · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY E. PESSIN · 2015 to 2026
$27.7M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Research Education in Cardiovascular Conditions ProgramR25HL145323 · NHLBI · NEW YORK UNIVERSITY · PI TAYLOR, JACQUELYN Y, VAUGHAN DICKSON, VICTORIA · 2020 to 2023
$379k
NCATS NIH HHS UL1 TR001445NHLBI NIH HHS R25 HL145323NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

objectiveDietary self-management is one key component to achieve optimal glycemic control. Advances in mobile health (mHealth) technology have reduced the burden of diabetes self-management; however, limited evidence has been known regarding the status of the current body of research using mHealth technology for dietary management for adults with type 2 diabetes.

methodsLiterature searches were conducted electronically using PubMed, CINAHL (EBSCO), Web of Science Core Collection, PsycINFO (Ovid), EMBASE (Ovid), and Scopus. Keywords and subject headings covered dietary management, type 2 diabetes, and mHealth. Inclusion criteria included studies that applied mHealth for dietary self-management for adults with type 2 diabetes and were published in English as full articles.

resultsThis review (N = 15 studies) revealed heterogeneity of the mHealth-based dietary self-management or interventions and reported results related to physiological, dietary behavioral, and psychosocial outcomes. Twelve studies applied smartphone apps with varied functions for dietary management or intervention, while three studies applied continuous glucose monitoring (CGM) to guide dietary changes. Among 15 reviewed studies, only three of them were two-arm randomized clinical trial (RCT) with larger sample and 12-month study duration and 12 of them were pilot testing. Nine of 12 pilot studies showed improved HbA1c; most of them resulted in varied dietary changes; and few of them showed improved diabetes distress and depression.

conclusionOur review provided evidence that the application of mHealth technology for dietary intervention for adults with type 2 diabetes is still in pilot testing. The preliminary effects are inconclusive on physiological, dietary behavioral, and psychosocial outcomes.

Indexed as

Diabetes Mellitus, Type 2Mobile ApplicationsSelf-ManagementTelemedicineAdultHumansRandomized Controlled Trials as TopicTechnologydiabetes self-managementdietary self-managementmHealthtype 2 diabetes

Identifiers

PMID37162011
PMCPMC10563537
OpenAlexW4376107847

What OpenQuestion 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 OpenQuestion graph.