CClinicalTrials.gg
CompletedNCT06739876Updated Apr 29, 2026Results posted

Effects of a Wearable Device and Social Media-Based Intervention on Physical Activity and Sleep Quality in Adults

An interventional study of Wearable device-based intervention (with motivational support via social media) and Wearable device-based intervention (without support) in Sleep and Physical Activity, sponsored by National Chung Hsing University. Completed at 1 site in Taiwan. Open to participants aged 18 Years to 64 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-04-29.

Sponsored by National Chung Hsing University · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
75
Allocation
Randomized
Ages
18 Years to 64 Years
Sex
All
01

Study summary

The goal of this randomized controlled trial is to examine whether the use of a wearable device and social media based intention increases physical activity and enhance sleep quality among adults.

Read the detailed description

The present study aims to study sedentary breaks and sleep quality in Taiwanese adults.

This is a three-arm randomized controlled trial, exploring the effects of a one-month wearable device-based intervention (Garmin tracker) in increasing physical activity and improving sleep quality in adults (Target n = 75 ). The one-month follow-up assessment will be conducted to examine the remaining effects of the intervention.

The main questions it aims to answer are:

Does using a wearable device improve physical activity and improve sleep quality among adults?

Does the inclusion of motivational support provided via social media promote even greater effects in increasing physical activity and improvements in sleep quality?

Researchers will compare groups wearing a device and receiving motivational support via social media (intervention group 1) or wearing a device but without support (intervention 2) to a control condition (participants who do not wear a device and do not receive support) to see whether a wearable device could increase physical activity and improve sleep.

02

Conditions studied

  • Sleep
  • Physical Activity

Keywords

  • Sleep quality
  • wearable device
  • motivation
  • social media support
  • physical activity
03

In context

Motor Activity

2,426 studies on the registry are indexed under Motor Activity; 1,162 are open to participants now.

This study's enrollment of 75 is above the median of 60 across 2,111 interventional studies indexed under Motor Activity.

Browse Motor Activity studies →

Lead sponsor

National Chung Hsing University is the lead sponsor of 9 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 64 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Those who have not used a wearable-device before.

Exclusion criteria

Exclusion Criteria:

-

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
75 participants (actual)

Study arms

  • No intervention
    No wearable device: Control

    The control group will not wear the device at times other than completing assessments at baseline, post-intervention, and follow-up.

  • Experimental
    Intervention: Device and motivational support via social media

    Participants in the Device and motivational support group will wear the device (Garmin tracker) for a month. In addition, they will receive motivational support via social media.

    Behavioral: Wearable device-based intervention (with motivational support via social media)

  • Experimental
    Intervention: Device

    Participants in the Device group will wear the device (Garmin tracker) for a month.

    Behavioral: Wearable device-based intervention (without support)

Interventions

  • BehavioralWearable device-based intervention (with motivational support via social media)

    The wearable device-based intervention aims to reduce sedentary behavior as the Move alert function may facilitate the management of one's physical activity. Motivational support will be provided via an online community created using LINE platform. The platform serve for the following purposes: a) providing psychoeduation prior to the intervention; b) providing a place for participants to motivate and encourage each other; c) provide health knowledge to participants weekly, to motivate behavioral change; d) encouraging participants to upload their daily step count to the community page to motivate each other's progress; e) based on participant's performance, research assistants will provide tailored support using Line stickers designed for the present intervention; f) research assistants will monitor participants' step counts and provide prizes (vouchers) for those who had the most step counts and made the most improvements.

  • BehavioralWearable device-based intervention (without support)

    The wearable device-based intervention aims to reduce sedentary behavior as the Move alert function may facilitate the management of one's physical activity.

06

What researchers measure

Primary outcomes

  1. Changes in Physical Activity

    Change in physical activity will be assessed by self-report measure on sedentary breaks and behaviour (the measure was developed by the investigator in a previous study). In addition, it will also be assessed by a measurable device (physical activity-related parameters assessed by Garmin monitor).

    Time frame: Baseline, and post-assessment (immediately after the intervention), one month follow-up

Secondary outcomes

  1. Changes in Sedentary Behavior

    All participants randomized to each group with available sedentary behavior questionnaire data were included in this analysis.

    Time frame: Baseline, and post-assessment (immediately after the intervention), one month follow-up

07

Results

Posted Apr 29, 2026
Limitations and caveats
The study was conducted at a single university using convenience sampling. The relatively small sample size and short intervention period may limit the generalizability of the findings.

Participant flow

Participants were recruited using a convenience sampling approach from students and staff aged 18 years or older at National Chung Hsing University through campus announcements and study advertisements.

Participant flow — Overall Study
MilestoneNo Wearable Device: ControlIntervention: Device and Motivational Support Via Social MediaIntervention: Device
Started252525
Completed252525
Not completed000

Outcome measures

PrimaryChanges in Physical Activity

Change in physical activity will be assessed by self-report measure on sedentary breaks and behaviour (the measure was developed by the investigator in a previous study). In addition, it will also be assessed by a measurable device (physical activity-related parameters assessed by Garmin monitor).

Time frame:
Baseline, and post-assessment (immediately after the intervention), one month follow-up
Reported as:
Mean · steps/day
Changes in Physical Activity
steps/dayNo Wearable Device: ControlIntervention: Device and Motivational Support Via Social MediaIntervention: Device
Changes in Physical Activity8417.24 ± 4251.328095.52 ± 2788.629497.97 ± 2708.41
SecondaryChanges in Sedentary Behavior

All participants randomized to each group with available sedentary behavior questionnaire data were included in this analysis.

Time frame:
Baseline, and post-assessment (immediately after the intervention), one month follow-up
Reported as:
Mean · hours / day
Changes in Sedentary Behavior
hours / dayNo Wearable Device: ControlIntervention: Device and Motivational Support Via Social MediaIntervention: Device
Changes in Sedentary Behavior11.71 ± 4.0312.34 ± 2.8712.08 ± 3.33

Adverse events

Collected over From enrollment to the end of the 4-week intervention period.. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
No Wearable Device: Control0/25 (0%)0/25 (0%)0/25 (0%)
Intervention: Device and Motivational Support Via Social Media0/25 (0%)0/25 (0%)0/25 (0%)
Intervention: Device0/25 (0%)0/25 (0%)0/25 (0%)

Baseline characteristics

The analysis population includes all 75 participants who were randomized into the three study arms (Arm 1, Arm 2, and Arm 3) at baseline. An Intention-to-Treat (ITT) approach was employed, ensuring that all randomized individuals were accounted for in the primary and secondary outcome evaluations to minimize bias.

Age, Continuous
Age, Continuous(Years)No Wearable Device: ControlIntervention: Device and Motivational Support Via Social MediaIntervention: DeviceTotal
Mean26.76 ± 8.3424.6 ± 6.1225 ± 7.9125.45 ± 7.53
Sex: Female, Male
Sex: Female, Male(Participants)No Wearable Device: ControlIntervention: Device and Motivational Support Via Social MediaIntervention: DeviceTotal
Female13151139
Male12101436
Race and Ethnicity Not Collected
Race and Ethnicity Not Collected(Participants)No Wearable Device: ControlIntervention: Device and Motivational Support Via Social MediaIntervention: DeviceTotal
Count of participants———0
Region of Enrollment
Region of Enrollment(Participants)No Wearable Device: ControlIntervention: Device and Motivational Support Via Social MediaIntervention: DeviceTotal
Taiwan25252575
Baseline Measurements of Participants
Baseline Measurements of Participants(hours / day)No Wearable Device: ControlIntervention: Device and Motivational Support Via Social MediaIntervention: DeviceTotal
Mean11.71 ± 4.0312.34 ± 2.8712.08 ± 3.3312.04 ± 3.41
08

Study locations

1 site
  • National Chung Hsing University
    Taichung, 402, Taiwan
09

References and documents

Study documents

  • Protocol and statistical analysis plan · Aug 15, 2025

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No — Individual participant data will not be shared with other researchers. The informed consent form signed by participants did not include provisions for data sharing outside of the study team. Therefore, we are not authorized to make the individual-level data available for secondary use.

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 29, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT06739876
Lead sponsor
National Chung Hsing University
Responsible party
Po-Wen Ku, PhD (Professor, National Chung Hsing University) — Principal investigator
First posted
Dec 18, 2024
Start date
Mar 5, 2025
Primary completion
Jun 1, 2025
Completion
Jun 1, 2025
Results posted
Apr 29, 2026
Last update
Apr 29, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Apr 2026. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion