Actively Recruiting

Phase Not Applicable
Age: 20Years +
All Genders
Healthy Volunteers
ID06814886

Effects of Wearable Devices Initiates Behavioral Change Intervention on Body Composition, Physical Activity, Sleep Quality and Stress of Nurses in Hospital Working Place: A Randomized Controlled Trial

Led by Tri-Service General Hospital · Updated on 2025-06-24

120

Participants Needed

1

Research Sites

4 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Physically inactive nurses with poor sleep quality face a higher risk of developing non-communicable diseases. Nurses are especially vulnerable due to their demanding shift work and heavy workloads, which may prevent them from meeting recommended physical activity levels. This trial evaluates the effects of a behavioral intervention initiated by wearable devices on body composition, physical activity, sleep quality, and stress among nurses working in a hospital setting. The study randomly assigns 120 nurses into two groups. One group receives a 12-week behavioral intervention using wearable devices combined with a LINE app that provides behavior change advice and weekly 15-minute motivational interviewing sessions through an app. The comparison group receives wearable devices for 12 weeks that only monitor physical activity and sleep quality without additional behavioral support. Data collection occurs at baseline, 12 weeks, and 24 weeks follow-up. Participants will be monitored for physical activity and sleep quality using Fitbit wearable devices and applications. Body composition is assessed by bioelectrical impedance analysis, and stress levels are measured by salivary amylase activity. Researchers will track the effects over time and between groups, assess treatment quality, identify barriers to implementation, and evaluate participant satisfaction. The primary outcomes focus on subjective and objective physical activity, measured from enrollment through 24 weeks.

CONDITIONS

Brief Title

Effects of Wearable Devices Initiates Behavioral Change Intervention on Body Composition, Physical Activity, Sleep Quality and Stress of Nurses in Hospital Working Place

Who Can Participate

Age: 20Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Individuals who provide informed consent and are 20 years old or older
  • Own a smartphone and are willing to join the study's LINE group
  • Have a mobile app that can sync with the Fitbit Charge 6 wearable device
  • Hold a nursing license and work as a nurse in a clinical setting
Not Eligible

You will not qualify if you...

  • Unable to provide informed consent or younger than 20 years old
  • Do not own a smartphone
  • Do not have a nursing license or are not employed as a nurse in a clinical setting
  • Currently participating in other health promotion or exercise training studies
  • Nurses who are pregnant

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 screening and enrollment visit (in-person or virtual)

Outpatient Treatment

Duration - 12 weeks

Participants use wearable devices to either initiate behavioral interventions with weekly motivational interviewing or to monitor physical activity and sleep quality only.

Weekly motivational interviewing sessions for 15 minutes (intervention group); continuous device monitoring for both groups

Follow-up

Duration - 12 weeks

Participants are followed for continued assessment of physical activity, sleep quality, body composition, and stress after the treatment period ends.

1 follow-up visit at 24 weeks after enrollment

Trial Site Locations

Total: 1 location

1

Tri-Service General Hospital

Taipei, Taiwan, Taiwan, 114

Actively Recruiting

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Research Team

Y

YIPANG LO, PhD candidate

How is the study designed?

Study Type

INTERVENTIONAL

Masking

TRIPLE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

HEALTH_SERVICES_RESEARCH

Number of Arms

2

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