NCT07232667

Brief Summary

Taiwan is entering a super-aged society in 2025, with more than 20% of the population aged 65 years or older. This rapid demographic shift, combined with increasing rates of chronic diseases, frailty, and dementia, has created growing challenges for healthcare and caregiving systems. Yunlin County, particularly its coastal region, has been one of Taiwan's earliest super-aged areas, showing higher rates of diabetes (10.5%), hypertension (28%), hyperlipidemia (26%), dementia (8%), and depression (12%) compared with national averages. Lifestyle factors such as tobacco (30%), betel nut (8%), and alcohol (15%) use are also more prevalent among local residents. From 2022 to 2024, health screenings at CMU Beigang Hospital revealed a 36.1% abnormality rate among 12,222 visits, while another 5,965 assessments from the county's ICOPE program showed similarly high rates. Many older adults, particularly retired agricultural and fishing workers, experience sedentary lifestyles and polypharmacy-related risks, which worsen frailty, insomnia, depression, and cognitive decline. Low general and digital health literacy further limits their ability to adopt preventive behaviors, forming a vicious cycle between poor health and aging. To address these challenges, the Ministry of Health and Welfare launched the "Healthy Taiwan Cultivation Plan." In alignment with this initiative, this project-led by CMU Beigang Hospital in collaboration with the National Health Research Institutes-aims to develop a wearable- and mobile-based health promotion model for rural older adults. The study will integrate research-grade actigraphy (Geneactiv), a mobile health platform ("iMED"), and the in-bed sensor iCue to monitor behavior, promote active aging, and enhance health and digital literacy. Ultimately, this project seeks to establish Taiwan's first integrated digital aging database and identify digital biomarkers for predicting cognitive and functional decline in older adults.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
140

participants targeted

Target at P50-P75 for not_applicable

Timeline
45mo left

Started Mar 2026

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress5%
Mar 2026Dec 2029

First Submitted

Initial submission to the registry

November 14, 2025

Completed
4 days until next milestone

First Posted

Study publicly available on registry

November 18, 2025

Completed
3 months until next milestone

Study Start

First participant enrolled

March 1, 2026

Completed
2.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2028

Expected
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2029

Last Updated

February 11, 2026

Status Verified

February 1, 2026

Enrollment Period

2.8 years

First QC Date

November 14, 2025

Last Update Submit

February 9, 2026

Conditions

Keywords

Elderly peopleWearable technologyDigital health literacyHealthy agingHealth literacyDigital gapDigital biomarkers

Outcome Measures

Primary Outcomes (4)

  • Activity-Sleep Pattern Regularity

    Mean daily activity counts, sleep-wake cycles, and circadian rhythm stability will be assessed using Geneactiv and iCue in-bed sensors. Variables include total activity counts, sleep duration, sleep efficiency, wake after sleep onset (WASO), daytime napping, light exposure amount and timing, M5/L5 (five hours of highest/lowest activity), mean sleep midpoint (MSA), intra-daily variability (IV), inter-daily stability (IS), and Sleep Regularity Index (SRI). Data will be analyzed using the open-source GGIR algorithm and R software to evaluate individual day-night rhythm stability and longitudinal changes.

    Baseline to 36 months.

  • Integrated Care for Older People (ICOPE) Function Assessment

    As assessed using the WHO Integrated Care for Older People (ICOPE) screening tool, covering six domains: cognition, mobility, nutrition, vision, hearing, and mood. Scores are classified as "declined" or "maintained" function for each domain. Higher functional integrity across domains indicates better overall health status.

    Baseline to 36 months.

  • Biomarkers for Cognitive and Functional Decline

    Venous blood samples (10 mL) will be collected to measure total Tau, phosphorylated Tau 181 (pT181), phosphorylated Tau 217 (pT217), amyloid beta 1-40 (Aβ40), amyloid beta 1-42 (Aβ42), and neurofilament light chain (NfL) using validated immunoassays. APOE genotyping will be performed once at baseline. These blood-based biomarkers will be correlated with digital device-derived metrics (SRI, IS, IV) and cognitive outcomes to explore their potential as predictors of cognitive decline.

    Two time points - baseline (before intervention) and end of study (month 36).

  • Qualitative Evaluation of Feasibility and User Experience

    Semi-structured interviews and focus groups will be conducted with participants and caregivers to explore usability, satisfaction, and perceived benefits of the Geneactiv wearable, iCue in-bed sensor, and iMED mobile platform. Interview data will be analyzed thematically to identify facilitators, barriers, and behavioral impacts related to long-term use.

    Baseline to 36 months (post-intervention qualitative evaluation).

Study Arms (1)

Health Promotion through Wearable and Mobile Technology

EXPERIMENTAL

Participants will join a community-based health program integrating wearables, mobile health platforms, and structured education to promote active lifestyles, enhance health literacy, and collect longitudinal data in older adults in rural Taiwan. Participants will: 1. Wear a research-grade wrist actigraphy device (GeneActiv) to record activity, sleep, and light exposure for ≥2 weeks. 2. Use the iMED mobile app (NHRI, Taiwan) for feedback, health education, and medication tracking. 3. For participants with limited mobility, use an under-mattress iCue sensor to monitor respiration and movement. 4. Attend Aging Well Taiwan sessions based on the WHO ICOPE framework. 5. Provide baseline and follow-up blood samples for dementia-related biomarkers (Tau, Aβ, NfL) and APOE genotyping.

Device: GeneactivBehavioral: iMED Mobile Health PlatformDevice: iCueBehavioral: Aging Well TaiwanBiological: Blood Biomarker Sampling

Interventions

GeneactivDEVICE

Participants will wear a research-grade actigraphy device (Geneactiv original, developed by Activinsights UK) on the non-dominant wrist for at least two consecutive weeks to continuously record physical activity, sleep-wake patterns, and light exposure. The visualised results will be presented to the participants to motivate their behavioural change.

Health Promotion through Wearable and Mobile Technology

Participants will use the "iMED" mobile application developed by the National Health Research Institutes in Taiwan (https://www.nhri.imed-health.com/). The platform provides personalized health education, medication reminders, AI-driven feedback on wearable data, and links to Taiwan's National Health Insurance health records.

Health Promotion through Wearable and Mobile Technology
iCueDEVICE

A non-invasive smart mat (iCue) placed under the mattress continuously monitors respiration rate, movement, and sleep parameters in participants with limited mobility.

Health Promotion through Wearable and Mobile Technology

Participants will attend a community-based educational course adapted from Singapore's "Aging Well" framework, covering physical activity, diet, cognitive health, and digital literacy. The program follows the WHO Integrated Care for Older People (ICOPE) model and supports active aging and social participation.

Health Promotion through Wearable and Mobile Technology

Participants will provide venous blood samples at baseline and follow-up visits for analysis of dementia-related biomarkers, including total Tau, phosphorylated Tau 181 (pT181), phosphorylated Tau 217 (pT217), amyloid beta 1-40 (Aβ40), amyloid beta 1-42 (Aβ42), and neurofilament light chain (NfL), as well as apolipoprotein E (APOE) genotyping.

Health Promotion through Wearable and Mobile Technology

Eligibility Criteria

Age60 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Currently living or receiving care in a stable environment for at least four weeks prior to enrollment:
  • For community-based participants: must have resided at the same address for ≥4 weeks.
  • For day-care participants: must have attended activities at the same dementia or elderly day-care center for ≥4 weeks.
  • Able and willing to participate in the study procedures.
  • Informed consent must be obtained before participation.
  • If the participant's cognitive function has declined to a level that prevents self-consent, written consent will be obtained from a legally authorized representative or primary caregiver.

You may not qualify if:

  • Unstable physical or psychological condition that makes participation unsafe, as determined by a clinical investigator - e.g., acute delirium or current respiratory infection (including COVID-19).
  • Any known allergy or skin sensitivity to the materials used in the Geneactiv actigraphy device or iCue sensor pad.
  • Any other medical, neurological, or behavioral condition deemed unsuitable for participation by the study physician.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

China Medical University Beigang Hospital

London, Alabama, WC1N 2AN, United Kingdom

Location

Related Publications (2)

  • Guu TW, Muurling M, Khan Z, Kalafatis C, Aarsland D, Ffytche D, Brem AK. Wearable devices: underrepresentation in the ageing society. Lancet Digit Health. 2023 Jun;5(6):e336-e337. doi: 10.1016/S2589-7500(23)00069-9. No abstract available.

  • Guu TW, Brem AK, Albertyn CP, Kandangwa P, Aarsland D, Ffytche D. Wrist-worn actigraphy in agitated late-stage dementia patients: A feasibility study on digital inclusion. Alzheimers Dement. 2024 May;20(5):3211-3218. doi: 10.1002/alz.13772. Epub 2024 Mar 18.

Central Study Contacts

Dr Ta-Wei Guu Consultant psychiatrist, MD, PhD

CONTACT

Yueh-Heng Chiang, RN, MS.

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
TREATMENT
Intervention Model
SINGLE GROUP
Model Details: single arm interventional study
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Consultant Psychiatrist

Study Record Dates

First Submitted

November 14, 2025

First Posted

November 18, 2025

Study Start

March 1, 2026

Primary Completion (Estimated)

December 31, 2028

Study Completion (Estimated)

December 31, 2029

Last Updated

February 11, 2026

Record last verified: 2026-02

Locations