Evidence map›Paper›PMID 29636320›Full record

ArticleJMIR mHealth and uHealth2018

A Behavioral Lifestyle Intervention Enhanced With Multiple-Behavior Self-Monitoring Using Mobile and Connected Tools for Underserved Individuals With Type 2 Diabetes and Comorbid Overweight or Obesity: Pilot Comparative Effectiveness Trial.

Jing Wang, Chunyan Cai, Nikhil Padhye, Philip Orlander, Mohammad Zare

2 registry-linked trialsAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 50 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 8 pooled it
–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.

NCT02858648 nacompletednot on this map

Diabetes Go Mobile! - A Pilot Study Testing the Effect of a Behavioral Intervention With Smart Phone Based Self-Monitoring on Glycemic Control and Vascular Inflammatory Markers

TypeinterventionalSponsorThe University of Texas Health Science Center, HoustonRan2013 to 2013Enrolled26ConditionsDiabetesArmsBehavior intervention with smart phone based self-monitoring, Behavior intervention with paper diary based self-monitoring
NCT06411769 narecruitingnot on this mapstarted 2024, after this paper: background citation

Evidence-based Intervention to Improve Walking Engagement in El Paso, Texas

TypeinterventionalSponsorUniversity of Texas, El PasoRan2024 to 2027Enrolled406ConditionsActivity Trackers, Physical ActivityArms50K4LIfe, SMS Text Messaging, Individual, School
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  13. Adherence to Behavioral Weight Management: A Scoping Review of Definitions, Measurement, and Components.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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

5 authors.

Jing WangCizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID http://orcid.org/0000-0002-4012-0977
Chunyan CaiMcGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID http://orcid.org/0000-0002-7213-621X
Nikhil PadhyeCizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID http://orcid.org/0000-0001-5738-7486
Philip OrlanderMcGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID http://orcid.org/0000-0002-8392-3585
Mohammad ZareMcGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID http://orcid.org/0000-0002-7032-6335

Funding

Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
6 · The paper itself

Abstract

backgroundSelf-monitoring is a cornerstone of behavioral lifestyle interventions for obesity and type 2 diabetes mellitus. Mobile technology has the potential to improve adherence to self-monitoring and patient outcomes. However, no study has tested the use of a smartphone to facilitate self-monitoring in overweight or obese adults with type 2 diabetes mellitus living in the underserved community.

objectiveThe aim of this study was to examine the feasibility of and compare preliminary efficacy of a behavioral lifestyle intervention using smartphone- or paper-based self-monitoring of multiple behaviors on weight loss and glycemic control in a sample of overweight or obese adults with type 2 diabetes mellitus living in underserved communities.

methodsWe conducted a randomized controlled trial to examine the feasibility and preliminary efficacy of a behavioral lifestyle intervention. Overweight or obese patients with type 2 diabetes mellitus were recruited from an underserved minority community health center in Houston, Texas. They were randomly assigned to one of the three groups: (1) behavior intervention with smartphone-based self-monitoring, (2) behavior intervention with paper diary-based self-monitoring, and (3) usual care group. Both the mobile and paper groups received a total of 11 face-to-face group sessions in a 6-month intervention. The mobile group received an Android-based smartphone with 2 apps loaded to help them record their diet, physical activity, weight, and blood glucose, along with a connected glucometer, whereas the paper group used paper diaries for these recordings. Primary outcomes of the study included percentage weight loss and glycated hemoglobin (HbA

resultsA total of 26 patients were enrolled: 11 in the mobile group, 9 in the paper group, and 6 in the control group. We had 92% (24/26) retention rate at 6 months. The sample is predominantly African Americans with an average age of 56.4 years and body mass index of 38.1. Participants lost an average of 2.73% (mobile group) and 0.13% (paper group) weight at 6 months, whereas the control group had an average 0.49% weight gain. Their HbA

conclusionsDelivering a simplified behavioral lifestyle intervention using mobile health-based self-monitoring in an underserved community is feasible and acceptable and shows higher preliminary efficacy, as compared with paper-based self-monitoring. A full-scale randomized controlled trial is needed to confirm the findings in this pilot study.

trial registrationClinicalTrials.gov NCT02858648; https://clinicaltrials.gov/ct2/show/NCT02858648 (Archived by WebCite at http://www.webcitation.org/6ySidjmT7).

Indexed as

behavior changecomparative effectiveness trialconnected healthdiabeteslifestylemobile healthobesitypatient engagementpatient-generated health dataself-monitoring

Identifiers

PMID29636320
PMCPMC5915674

What OpenQuestion holds

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Registered trials

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.