Evidence map›Paper›PMID 38506903›Full record

Trial reportJournal of medical Internet research2024

Understanding Heterogeneity in Individual Responses to Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories in Adults With Overweight or Obesity: Secondary Analysis of a 6-Month Randomized Controlled Trial.

Shiyu Li, Yan Du, Hongyu Miao, Kumar Sharma, Chengdong Li, Zenong Yin, Bradley Brimhall, Jing Wang

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05071287 (Precision Metabolic Mechanisms of Low Carbohydrate and Ketogenic Diet), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.9field-weighted citation impact, top 4% 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.

NCT05071287 nacompletednot on this map

Precision Metabolic Mechanisms of Low Carbohydrate and Ketogenic Diet

TypeinterventionalSponsorThe University of Texas Health Science Center at San AntonioRan2021 to 2022Enrolled60ConditionsDiabetic Kidney Disease, Cognitive Function, Weight Loss, Diabetic ControlArmsmHealth + low-fat diet, mHealth + low-carb/ketogenic diet
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. 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
    Article
  5. Observational
  6. Article
  7. Article
  8. Yes I can! Exploring the impact of self-efficacy in a digital weight loss intervention.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  9. Article
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 at 4 institutions in 1 country.

Shiyu LiDepartment of Kinesiology, The Pennsylvania State University, University Park, PA, United States.ORCID 0000-0001-8420-9343
Yan DuSchool of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID 0000-0003-0683-3989
Hongyu MiaoCollege of Nursing, Florida State University, Tallahassee, FL, United States.ORCID 0000-0002-4131-3164
Kumar SharmaCenter for Precision Medicine, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID 0000-0002-7550-8525
Chengdong LiCollege of Nursing, Florida State University, Tallahassee, FL, United States.ORCID 0000-0001-5330-9624
Zenong YinDepartment of Public Health, The University of Texas at San Antonio, San Antonio, TX, United States.ORCID 0000-0001-7597-3147
Bradley BrimhallDepartment of Pathology and Laboratory Medicine, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID 0000-0001-7563-6159
Jing WangCollege of Nursing, Florida State University, Tallahassee, FL, United States.ORCID 0000-0002-4012-0977
Florida State University · USThe University of Texas Health Science Center at San Antonio · USPennsylvania State University · USThe University of Texas at San Antonio · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

backgroundAchieving clinically significant weight loss through lifestyle interventions for obesity management is challenging for most individuals. Improving intervention effectiveness involves early identification of intervention nonresponders and providing them with timely, tailored interventions. Early and frequent self-monitoring (SM) adherence predicts later weight loss success, making it a potential indicator for identifying nonresponders in the initial phase.

objectiveThis study aims to identify clinically meaningful participant subgroups based on longitudinal adherence to SM of diet, activity, and weight over 6 months as well as psychological predictors of participant subgroups from a self-determination theory (SDT) perspective.

methodsThis was a secondary data analysis of a 6-month digital lifestyle intervention for adults with overweight or obesity. The participants were instructed to perform daily SM on 3 targets: diet, activity, and weight. Data from 50 participants (mean age: 53.0, SD 12.6 y) were analyzed. Group-based multitrajectory modeling was performed to identify subgroups with distinct trajectories of SM adherence across the 3 SM targets. Differences between subgroups were examined for changes in clinical outcomes (ie, body weight, hemoglobin A

resultsTwo distinct SM trajectory subgroups emerged: the Lower SM group (21/50, 42%), characterized by all-around low and rapidly declining SM, and the Higher SM group (29/50, 58%), characterized by moderate and declining diet and weight SM with high activity SM. Since week 2, participants in the Lower SM group exhibited significantly lower levels of diet (P=.003), activity (P=.002), and weight SM (P=.02) compared with the Higher SM group. In terms of clinical outcomes, the Higher SM group achieved a significant reduction in body weight (estimate: -6.06, SD 0.87 kg; P<.001) and hemoglobin A

conclusionsThe presence of the Lower SM group highlights the value of using longitudinal SM adherence trajectories as an intervention response indicator. Future adaptive trials should identify nonresponders within the initial 2 weeks based on their SM adherence and integrate intervention strategies to enhance perceived competence in diet to benefit nonresponders.

trial registrationClinicalTrials.gov NCT05071287; https://clinicaltrials.gov/study/NCT05071287. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1016/j.cct.2022.106845.

Indexed as

Life StyleObesityOverweightAdultAgedGlycated HemoglobinHumansMiddle AgedWeight LossGlycated Hemoglobinadherencebehavior changedigital technologygroup-based trajectory modelingmobile phoneprecision healthself-monitoringweight loss

Identifiers

PMID38506903
PMCPMC10993111
OpenAlexW4391444457

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.