Effectiveness of a mobile App-based intervention for improving low back pain and obesity in workers.

JRCT ID: jRCT1030240488

Registered date:18/11/2024

Basic Information

• Recruitment status: Recruiting

Health condition(s) or Problem(s) studied

Obesity/Overweight
Low back pain

• Date of first enrollment: 18/11/2024
• Target sample size: 102
• Study type: Interventional

Intervention(s)

Intervention group 1: use of mobile App (Yo 2 Total care App) for education, exercise, and behavioral monitoring, and use of a pamphlet on low back pain management
Intervention group 2: instruction and advice (counceling?) by occupational staffs in addition to the use of above mobile App and pamphlet
Control group: only providing the above pamphlet

Outcome(s)

• Primary Outcome: Patient Global Impression of Change

Secondary Outcome

Low back pain intensity (NRS)
Work productivity (WPAI)
Self-efficacy (PSEQ-SF)
Body weight
Waist circumference
Physical activity
Exercise habits
Status of visiting medical institutions for low back pain
Health Behaviors that have been habitual

Key inclusion & exclusion criteria

• Age minimum: >= 40age old
• Age maximum: < 65age old
• Gender: Both

Include criteria

Workers between the ages of 40 and 64
Capable of walking independently
Receiving specific health guidance
Experienced low back pain in the past month
Mobile App can be operated from a smartphone

Exclude criteria

Patients presenting the following symptoms/signs:
- Low back pain unrelated to time or activity
- Chest pain
- History of malignancy, steroid therapy (intravenous or oral), HIV infection
- Weight loss of 5% or more within the past month
- Extensive neurological symptoms
- Fever of 37.5 degree celsius or higher
Diabetes
Pregnant or planning to become pregnant
Radiculopathy
Receiving strong opioids
Undergoing nerve block therapy
Having a history of lumbar spine surgery within the past year
Considerable suspected psychosocial factors
Having difficulty understanding Japanese
Any other individuals deemed inappropriate for inclusion in this study by the principal investigator or participating researchers

Related Information

• Primary Sponsor: Yoshimoto Takahiko
• Source(s) of Monetary Support: Healthcare AIoT Consortium