Skip to content

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

The Effect of Digital Muscle Strength Measurement on Physical Activity Levels in University Students With Technological Addiction

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07442955
Enrollment
140
Registered
2026-03-02
Start date
2026-02-01
Completion date
2026-06-30
Last updated
2026-03-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Digital Addiction, Muscle Strength, Physical Activities

Keywords

Physical Activities, Muscle strength, Digital addiction

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.

Interventions

OTHEREvaluation of muscle strength

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

Sponsors

Ondokuz Mayıs University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 30 Years
Healthy volunteers
Yes

Inclusion criteria

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

Exclusion criteria

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

Design outcomes

Primary

MeasureTime frameDescription
Lafayette Muscle Strength Devices1 yearThe 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.
International Physical Activity Questionnaire - Short Form (IPAQ-SF)1 yearThe 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.

Secondary

MeasureTime frameDescription
Quality of Life (SF-12)1 yearQuality of Life will assess with SF-12. The SF-12 is a short self-report questionnaire developed to assess individuals' general health status and quality of life. A shortened version of the SF-36, this scale consists of 12 questions and assesses physical and mental health components (Physical Component Summary (PCS) and Mental Component Summary (MCS). Due to its short administration time and practicality, it is frequently used in clinical research, community health studies, and rehabilitation. A high score indicates a high level of life quality. Scores range from 0 to 100. 0 points: Worst health status and 100 points: Best health status. Higher scores indicate better physical or mental health. Lower scores indicate worse health status.

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 3, 2026