Evidence map›Paper›PMID 41191904›Full record

ArticleJMIR research protocols2025

Effects of Communicating Genetic Risk of Type 2 Diabetes and Wearable Technologies on Behavioral Outcomes in East Asians: Statistical Analysis Protocol for a Randomized Controlled Trial.

Harrison Hin Sheung Ho, Ziyuan Chen, Job Godino, Michael Multhaup, Derwin King Chung Chan, Shiu Lun Au Yeung, Shan Luo, Brian Hon Yin Chung, Simon Griffin, Youngwon Kim

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05524909 (Combined Effects of Communicating Genetic Risk of Type 2 Diabetes and Wearable Technologies On Objectively Measured Behavioral Outcomes in Overweight or Obese East Asian Individuals.), which is not on this 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.

NCT05524909 nacompletednot on this map

Combined Effects of Communicating Genetic Risk of Type 2 Diabetes and Wearable Technologies On Objectively Measured Behavioral Outcomes in Overweight or Obese East Asian Individuals.

TypeinterventionalSponsorThe University of Hong KongRan2022 to 2025Enrolled355ConditionsFitness Trackers, Physical Activity, Exercise, Genetic Predisposition to DiseaseArmsGenetic Risk Estimate, Genetic Risk Estimate + Fitbit Functions
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.

Harrison Hin Sheung Ho *School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0009-0001-9099-6053
Ziyuan Chen *School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0009-0003-8912-9483
Job GodinoHerbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0002-4852-6277
Michael MulthaupExai Bio, Palo Alto, CA, United States.ORCID 0009-0008-8164-9712
Derwin King Chung ChanSchool of Arts and Social Sciences, Hong Kong Metropolitan Universit, Hong Kong, China (Hong Kong).ORCID 0000-0001-8200-0263
Shiu Lun Au YeungSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0001-6136-1836
Shan LuoSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0003-3368-9935
Brian Hon Yin ChungDepartment of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-7044-5916
Simon GriffinMedical Research Council Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-2157-4797
Youngwon Kim *School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-7846-7191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence suggests that the communication of type 2 diabetes (T2D) genetic risk alone has limited effectiveness on facilitating behavioral changes among individuals of European descent. Although the use of wearable devices has been associated with changes in behavior, the effects of combining personalized precision medicine with wearable devices on behaviors related to T2D prevention remain unclear. This study aims to assess the novel effects of T2D genetic risk communication and wearable device functions on objectively measured moderate to vigorous physical activity (MVPA) time among East Asian individuals with overweight or obesity.

objectiveThe objectives of this study are to (1) investigate the effects of communicating T2D genetic risk and (2) examine the effects of combining T2D genetic risk communication with wearable device functions such as step goal setting and activity prompts on objectively measured MVPA time among East Asians with overweight or obesity.

methodsIn this parallel-group randomized controlled trial, 355 East Asians with overweight or obesity aged between 40 and 60 years are allocated to 1 of 3 groups: 1 control and 2 intervention groups. Blood samples are used for estimation of T2D genetic risk and tested for metabolic risk markers. T2D genetic risk is estimated based on 113 single nucleotide polymorphisms associated with T2D among East Asians using an established method. All 3 groups receive a Fitbit device. Both intervention groups will receive T2D genetic risk estimates along with lifestyle advice, but one of the intervention groups will receive additional Fitbit functions: step goal setting and prompt functions. The intervention materials are delivered weekly using WhatsApp and monthly via email. The primary outcome is MVPA time, which is objectively measured with the built-in accelerometer of the Fitbit Inspire 3 and will be assessed at baseline, immediately after the intervention, 12 months after the intervention, and at 6-month follow-up. Secondary outcomes include other parameters, such as sedentary time, BMI, systolic and diastolic blood pressure, 5 metabolic risk markers, handgrip strength, sleep, activity calories, self-reported physical activity, self-reported fruit and vegetable consumption, smoking status, and psychological variables.

resultsThis study was funded in January 2023. Data collection for baseline assessments began in February 2023. Formal data analysis started in April 2025 after the 6-month follow-up assessments were completed.

conclusionsTo the best of our knowledge, this study will be the first randomized controlled trial to combine T2D genetic risk communication with wearable device functions in any population. Novel findings will be used to inform future lifestyle modification strategies for T2D. We plan to provide a comprehensive report on this study by publishing this analysis plan before the completion of data collection.

trial registrationClinicalTrials.gov NCT05524909; https://www.clinicaltrials.gov/study/NCT05524909. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/65012.

Indexed as

Diabetes Mellitus, Type 2Wearable Electronic DevicesAdultEast Asian PeopleExerciseFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedObesityOverweightPolymorphism, Single NucleotidePrecision MedicineRandomized Controlled Trials as Topicgenetic riskmovement behaviorphysical activityrandomized controlled trialstatistical analysis plantype 2 diabeteswearable technology

Identifiers

PMID41191904
PMCPMC12631090

What Socratic 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 Socratic graph.