Evidence map›Paper›PMID 39632119›Full record

ArticleBMJ open2024

Effect of communicating genetic risk of type 2 diabetes and wearable technologies on wearable device-measured behavioural outcomes in East Asians: protocol of a randomised controlled trial.

Youngwon Kim, Job G Godino, Flora Lai Tung Cheung, Michael Multhaup, Derwin King Chung K C Chan, Ziyuan Chen, Harrison Hin Sheung Ho, Tsz Him Timothy Tse, Shiu Lun Ryan Au Yeung, Shan Lou and 4 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2024. 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Youngwon KimSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong youngwon.kim@hku.hk.
Job G GodinoExercise and Physical Activity Resource Center, Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California, USA.
Flora Lai Tung CheungSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Michael MulthaupGuardant Health, Redwood City, California, USA.
Derwin King Chung K C ChanThe Education University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0001-8200-0263
Ziyuan ChenSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0009-0000-0176-8685
Harrison Hin Sheung HoSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Tsz Him Timothy TseSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Shiu Lun Ryan Au YeungDivision of Epidemiology and Biostatistics, University of Hong Kong, Hong Kong, Hong Kong.
Shan LouDivision of Epidemiology and Biostatistics, University of Hong Kong, Hong Kong, Hong Kong.
Joni H ZhangSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Mengyao WangSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Brian ChungDepartment of Paediatrics, The University of Hong Kong, HKSAR, Hong Kong.
Simon GriffinThe Primary Care Unit, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe communication of information about the risk of type 2 diabetes (T2D) alone has not been associated with changes in habitual behaviours among individuals of European ancestry. In contrast, the use of wearable devices that monitor physical activity (PA) has been associated with behavioural changes in some studies. It is uncertain whether risk communication might enhance the effects of wearable devices. We aim to assess the effects of communicating genetic risk for T2D alone or in combination with wearable device functions on wearable device-measured PA among overweight or obese East Asians. METHODS AND ANALYSIS: In a parallel group, randomised controlled trial, 355 overweight or obese East Asian individuals aged 40-60 years are allocated into one of three groups: one control and two intervention groups. Blood samples will be used for estimation of T2D genetic risk and analysis of metabolic risk markers. Genetic risk of T2D will be estimated based on 113 single-nucleotide polymorphisms associated with T2D among East Asians. All three groups receive a Fitbit device. Both intervention groups will receive T2D genetic risk estimates along with lifestyle advice, but one of the intervention groups additionally uses Fitbit's step goal setting and prompt functions. Questionnaires and physical measurements are administered at baseline, immediately after intervention delivery, and 6 and 12 months post intervention. The primary outcome is time spent in moderate-to-vigorous PA from the Fitbit, which will be assessed at baseline, immediately post intervention, 12 months post intervention and at 6-month follow-up. Secondary outcomes include other wearable device-measured parameters, sedentary time, and sleep, blood pressure, metabolic risk markers, hand grip strength, self-reported PA, fruit and vegetable consumption, smoking, and psychological variables. Between-group differences in the continuous and categorical variables collected at baseline will be examined using Analysis of Variance (ANOVA) and χ ETHICS AND DISSEMINATION: The study protocol has undergone review and received approval from the ethics committee of the University of Hong Kong. Findings from our trial will be disseminated through publication in peer-reviewed research journals and presented at international academic conferences. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, NCT05524909. https://register. CLINICALTRIALS: gov/ (11 November 2024).

Indexed as

Diabetes Mellitus, Type 2Wearable Electronic DevicesAdultEast Asian PeopleExerciseFemaleFitness TrackersGenetic Predisposition to DiseaseHumansMaleMiddle AgedObesityOverweightPolymorphism, Single NucleotideRandomized Controlled Trials as TopicBehaviorGeneral diabetesGENETICSProtocols & guidelinesRandomized Controlled Trial

Identifiers

PMID39632119
PMCPMC11624736

What OpenQuestion holds

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LicenceCC BY-NC
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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.