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Accurate physical activity (PA) measurement is crucial for public health surveillance. While self-report questionnaires are commonly used, they have limitations, especially in young children. An affordable and user-friendly device like Feelfit® offers a promising alternative particularly for countries with limited research resources. This study aimed to evaluate Feelfit®'s performance against the widely used ActiGraph® accelerometer in measuring PA among children. A quasi-experimental design was applied. Thirty-nine children (19 boys; 20 girls; aged 11.4 ± 0.5 years) wore both Feelfit® and ActiGraph® during sequentially specified activities of varying intensity ranging from sedentary to vigorous. Data were analysed using paired t-tests, Bland-Altman plots, and intra-class correlation coefficients (ICCs) to assess agreement, precision, and reliability. Feelfit® showed good agreement with ActiGraph® for moderate-to-vigorous PA (MVPA) but overestimated sedentary time and underestimated light PA. It demonstrated better precision for MVPA but low reliability for light PA. Intra-class correlation coefficients were moderate for MVPA (ICC = 0.43), but poor for sedentary time (ICC = 0.11). Feelfit® is a suitable option for measuring MVPA in children, offering acceptable validity and reliability compared to ActiGraph®. However, improvements are needed for accurate measure of sedentary and light activities. Despite these limitations, Feelfit®'s affordability and ease of use make it a valuable tool for use in small- to large-scale research and in resource-limited settings.
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http://dx.doi.org/10.70252/NOCK5583 | DOI Listing |
Can J Occup Ther
September 2025
Excessive screen time is a real public health issue among young people given its negative consequences. It is important to rely on proven interventions to better support young people in adopting a healthy and meaningful lifestyle. The Lifestyle Redesign occupational therapy approach could help achieve this, but it has not yet been documented or explored with this population.
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May 2025
Department of Population Medicine, College of Medicine, QU Health, Qatar University, P.O. Box: 2713, Doha, Qatar.
Background: Physical activity during pregnancy is thought to influence birth outcomes, but its association with it is not fully understood. We aimed to examine the association of sedentary behavior during pregnancy with preterm birth and infant adiposity measured at birth, 14 weeks, and one year of age.
Methods: In this cohort study, physical activity during pregnancy was assessed using the physical activity questionnaire.
Digit Health
September 2025
Department of Sports and Arts, Zhejiang Gongshang University Hangzhou College of Commerce, Hangzhou, China.
Objective: This study aimed to evaluate the effect of step-count monitoring interventions on objectively measured physical activity-related outcomes in children and adolescents.
Methods: This review was designed and conducted based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. The following five electronic databases were searched to identify relevant studies: PubMed, Web of Science, SCOPUS, SPORTDiscus, and Cochrane Library.
J Educ Health Promot
July 2025
Department of Radiodiagnosis and Imaging, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Background: Sedentary office work poses risks to physical and cognitive health. This study investigated the effects of a 6-month yoga intervention on sedentary office workers' cognitive function and vascular parameters.
Materials And Methods: Twenty-four office workers (mean age 26.
J Educ Health Promot
July 2025
Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Background: The relationship between obesity and brain structure remains unclear, particularly in sedentary individuals. This study aimed to compare structural brain volumes among sedentary normal weight, overweight, and obese adults.
Materials And Methods: In this cross-sectional study, 102 sedentary adults (34 normal weight, 34 overweight, 34 obese) underwent brain MRI scans.