Healthy Adult, Nurse
Conditions
Keywords
wearable device, behavioral change intervention, nurse, working place
Brief summary
Background: Physically inactive and poor sleep quality are at increased risk for non-communicable diseases. Nurses were the most vulnerable inactive healthcare personnel who may not meet global physical activity recommendations because of complicated rotation shifts and heavy working loading. Wearable devices initiate behavior intervention combined with smartphone applications could offer new opportunities for social connection by a convenient way for nurses to improve physical activity and sleep quality. Objectives: To evaluate the effects of wearable devices initiate behavioral intervention on body composition, physical activity, sleep quality and stress of nurses in hospital working place. Method: This is a randomized controlled trial that will recruit 120 nurses and randomly assign them into two groups from a hospital working place. The nurses in the intervention group will receive 12-week wearable devices to initiate behavioral intervention. The nurses in the comparison group will only receive 12-week wearable devices monitoring. Data will be collected at baseline and 12-week and 24-week follow-up. The body composition will be measured by bioelectrical impedance analysis (BIA). The physical activity and sleep quality will be monitored by the Fitbit wearable device and application. The mediator parameter of the stress will be measured by salivary amylase activity (SAA). We will control the internal validity to assure the quality of training, treatment fidelity, identify barriers and facilitators of implementation, and assess participants' satisfaction. General estimating equations (GEE) will be applied to examine the effects of time and group interaction.
Interventions
BEHAVIORALwearable devices to initiate behavioral intervention
12 week wearable devices to initiate behavioral intervention including line APP recruited participants and give some behavior change advises, also give a APP-based motivational interviewing 15 minutes per week.
BEHAVIORAL12 week wearable devices monitor
12 week wearable devices monitor physical activity and sleep quality only
Sponsors
Tri-Service General Hospital
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
TRIPLE (Subject, Investigator, Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Individuals who give informed consent for this study and are 20 years old or older. * Those who own a smartphone and are willing to join the study's LINE group. * Individuals whose mobile application (APP) can synchronize with the Fitbit Charge 6 wearable device. * Nurses who hold a nursing license and are working in a clinical setting.
Exclusion criteria
* Individuals unable to provide informed consent for this study and are younger than 20 years old. * Those who do not own a smartphone. * Individuals who do not have a nursing license or are not employed in a clinical setting as a nurse. * Participants who are already involved in other health promotion or exercise training studies. * Nurses who are currently pregnant.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Physical activity (subjective) | From enrollment to the end of treatment at 12 weeks, and 24 weeks follow up | Measurement Tool: International Physical Activity Questionnaire short form - Taiwan version |
| Physical activity (objective) | From enrollment to the end of treatment at 12 weeks, and 24 weeks follow up | Measurement Tool: Wearing Fitbit Charge 6 HR to collect physical activity and sleep quality related data. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Sleep quality (objective) | From enrollment to the end of treatment at 12 weeks, and 24 weeks follow up | Measurement Tool: Wearing Fitbit Charge 6 HR to collect physical activity and sleep quality related data. |
| sleep quality (subjective) | From enrollment to the end of treatment at 12 weeks, and 24 weeks follow up | Measurement Tool:Chinese version of the Pittsburgh Sleep Quality Index (CPSQI) |
| Body composition | From enrollment to the end of treatment at 12 weeks, and 24 weeks follow up | Measurement Tool: Inbody 270 Body Composition Analyzer |
| Stress | From enrollment to the end of treatment at 12 weeks, and 24 weeks follow up | Measurement Tool: Nipro Salivary Amylase Activity Monitor and enzyme-linked immunosorbent assay (ELISA) will be utilized to quantify the levels of irisin, IL-6, and BDNF in serum samples, allowing for the assessment of immune stress values. |
Countries
Taiwan
Contacts
Primary ContactYIPANG LO, PhD candidate
Outcome results
None listed