Daily Activities, Physical Activities
Conditions
Keywords
Physical Activity, Daily Step Counts, Accelerometry, Questionnaire, Sleep Quality
Brief summary
The aim of this study is to explore the correlation between the physical activity levels of university students, as measured by the International Physical Activity Questionnaire-Short Form (IPAQ-SF)(SUBJECTİVE DATA) and their daily step count recorded by Apple smartwatches (OBJECTİVE DATA).
Detailed description
Healthy individuals can monitor their physical activity, sleep quality, and vital signs through smartwatches and mobile applications. Tracking daily step counts via smartwatches helps individuals observe their physical activity levels and boost their motivation. This study aims to explore the correlation between the physical activity levels of university students, as measured by the International Physical Activity Questionnaire-Short Form (IPAQ-SF), and their daily step count recorded by Apple smartwatches. Moreover, this investigation examined the feasibility of employing daily step count -a more objective measure-instead of the categorical data generally utilized in evaluating IPAQ scores in existing literature. It is suggested that this methodology may mitigate subjectivity and advance future research efforts. Additionally, the relationship between the students' physical activity levels and sleep quality was evaluated. The research involved 102 volunteer students from Istanbul Aydın University. Participants' average daily step counts were documented from their smartwatches over a week, followed by the completion of IPAQ-SF and the Pittsburgh Sleep Quality Index (PSQI).
Interventions
DEVICEDaily step counting with a smartwatch
daily step count measurement with a smartwatch
OTHERQuestionnaire
This questionnaire provides a description of the weekly level of activities.
Sponsors
Istanbul Aydın University
Study design
Observational model
COHORT
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 28 Years
Healthy volunteers
Yes
Inclusion criteria
* being a student at Istanbul Aydın University, * age between 18 and 28 years, * regular use of an Apple Watch, * voluntary participation.
Exclusion criteria
* presence of chronic diseases, * physical or mental disabilities that could potentially affect physical activity levels, * being a professional athlete.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation of IPAQ and daily step counts of university students | one week for each participant | This study aims to explore the correlation between the physical activity levels of university students, as measured by the International Physical Activity Questionnaire-Short Form (IPAQ-SF)(SUBJECTİVE DATA) and their daily step count recorded by Apple smartwatches (OBJECTİVE DATA). |
Countries
Turkey (Türkiye)
Outcome results
None listed