Impact of Digital Muscle Strength on Activity in Tech-Addicted University Students

NCT07442955 | Active Not Recruiting

• 1 other identifier: 2023/437
• Study Type: observational
• Target: 140
• Locations: 1 country
• Sites: 1

Brief Summary

Results from muscle strength assessment methods commonly used in physiotherapy can vary due to their lack of objective results and their reliance on the individual's muscle strength. Digital muscle testing devices provide objective results because they provide numerical data based on the resistance applied by the individual performing the measurement. These data can objectively identify weakness in specific muscles or muscle groups that may occur due to decreased physical activity levels in university students, and they will also be useful in developing an individualized exercise program.

Conditions

Physical Activities; Muscle Strength; Digital Addiction

Keywords

Physical Activities; Muscle strength; Digital addiction

Outcome Measures

Primary Outcomes (2)

• Lafayette Muscle Strength Devices

  The Lafayette muscle strength measurement device is a digital dynamometer used to objectively and numerically assess maximum isometric muscle strength. The device provides a more precise and repeatable measurement than manual muscle testing, providing a reliable method for assessing muscle strength. It can be used with various attachments for different muscle groups and is frequently used in rehabilitation, performance analysis, and clinical research. A high score indicates high muscle strength.

  1 year

• International Physical Activity Questionnaire - Short Form (IPAQ-SF)

  The IPAQ-SF is an internationally standardized self-report questionnaire developed to determine individuals' physical activity levels. This seven-question short form assesses \*\*walking, moderate-intensity, and vigorous-intensity physical activities\*\*, as well as \*\*sitting time\*\*, over the past seven days. Using participant-reported duration and frequency data, physical activity level is calculated in \*\*MET-minutes/week\*\*. Its rapid administration and applicability to large populations make it a valid and reliable measurement tool for population-based research and clinical trials. Participants can use physical activity levels of Low, Moderate, or High based on their MET score, depending on the day and time. A higher MET value indicates a higher level of physical activity.

  1 year

Secondary Outcomes (1)

• Quality of Life (SF-12)

  1 year

Study Arms (1)

Students with Digital Addiction

Students with Digital Addiction

Other: Evaluation of muscle strength

Interventions

Evaluation of muscle strength OTHER

Evaluation of muscle strength, Young Internet Addiction Test-Short Form (YIAT-SF), International Physical Activity Questionnaire-Short Form (IPAQ-SF) and SF-12

Students with Digital Addiction

Eligibility Criteria

• Age: 18 Years - 30 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

Students with Digital Addiction

You may qualify if:

• Be between the ages of 18 and 30
• Be a university student
• Have no physical or systemic illnesses that would prevent you from working

You may not qualify if:

• Not being between the ages of 18 and 30
• Not being a university student
• Having a physical or systemic illness that prevents working

Sponsors & Collaborators

• Ondokuz Mayıs University: lead

Study Sites (1)

Ondokuz Mayıs University

Samsun, Turkey (Türkiye)

Location

MeSH Terms

Conditions

Motor Activity

Condition Hierarchy (Ancestors)

Behavior

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Research Assistant

Study Record Dates

• First Submitted: September 25, 2025
• First Posted: March 2, 2026
• Study Start: February 1, 2026
• Primary Completion (Estimated): June 30, 2026
• Study Completion (Estimated): June 30, 2026
• Last Updated: March 2, 2026

Record last verified: 2026-02

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)