Adult Disease Risk Prediction Using Wearables, Hearing, and Health Data
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorNational Health Research Institutes, Taiwan
About this trial
This prospective cohort study aims to develop and validate a personalized disease risk prediction model for adults by integrating multiple sources of health data. The study will recruit community-dwelling adults aged 18 years and older in Taiwan. After providing informed consent, participants will complete a structured questionnaire, undergo pure tone hearing testing, and wear a smartwatch for 2 weeks to collect continuous physiological data, including heart rate and physical activity. With participant authorization, the study will also collect data from personal health records and national health insurance databases to allow longer-term follow-up of health outcomes.
The main goals of the study are to examine the relationships among hearing, lifestyle factors, and wearable device data; to identify combinations of risk factors associated with progression from health to subclinical or chronic disease states; and to develop analytical methods for integrating heterogeneous health data from questionnaires, physiological monitoring, hearing tests, and medical databases. Machine learning methods will be used to identify important predictors and build risk prediction models.
The study hypothesis is that combining hearing measures, lifestyle information, wearable physiological data, and longitudinal medical record data will improve the ability to identify individuals at higher risk of future disease compared with using a single source of information alone. The long-term objective is to support early risk identification, personalized health management, and prevention strategies in community adults.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Adults aged 18 years and older
Living in the community in Taiwan
Able to understand the study procedures and provide written informed consent
Able and willing to complete the study questionnaire, hearing assessment, and wearable device monitoring procedures
Disqualifiers
Diagnosis of dementia
Too frail or has other health conditions that make participation in the study procedures not feasible
Bilateral deafness without use of any hearing assistive device
Does not have a smartphone or is unable to use a smartphone application required for the study procedures
Trial population
Community-dwelling adults aged 18 years and older in Taiwan will be recruited from community settings, including community care stations, public health centers, activity centers, lifelong learning centers for older adults, and collaborating local organizations. Public recruitment may also be conducted through online platforms and social media. Recruitment will be carried out across multiple geographic regions in Taiwan to include participants from both urban and rural communities.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Not listed
Trial groups
1,500 Participants
are grouped into 1 trial groupGroup A: Community-Dwelling Adults
Trial outcomes
Primary outcomes
1
Performance of Personalized Disease Risk Prediction Models
Model performance will be evaluated for personalized disease risk prediction models developed using integrated questionnaire, hearing, wearable device, personal health record, and national health insurance data. Performance metrics will include area under the receiver operating characteristic curve (AUC-ROC), accuracy, and related validation measures in training and test datasets.
Time frame
At the completion of data collection and model validation, including baseline assessment and 2-week wearable monitoringSponsors and contacts
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Source ClinicalTrials.gov