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Background: Brief measures of 24-hour movement behaviors are needed to easily evaluate their durations. The present study investigated the criterion validity and test-retest reliability of a brief self-report instrument to assess 24-hour movement behaviors.
Methods: A paper-based self-administered questionnaire was used to assess sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) with four items in 35 healthy adults. Participants wore a tri-axial accelerometer and answered the questionnaire on the final day of the accelerometry assessment and after 14 days. Spearman's correlations of self-reported measures with their accelerometer-derived counterparts were assessed and median values compared by Mann-Whitney U-tests. Bland-Altman plots were employed to characterize differences in self-reported and device-measured time in the behaviors and their limits of agreement. Test-retest reliability was assessed using Intra-class correlation coefficients (ICCs).
Results: Moderate correlations with device measures for sleep, SB, and LPA for a typical and the past week (rho = 0.46 to 0.60) and low correlations for MVPA (rho = 0.33 to 0.47) were observed. Less duration of sleep and MVPA were reported compared with accelerometer-derived durations for the three recall periods (z = -3.9 to -2.5 and -4.0 to -3.5, respectively). The test-retest reliability for a typical week was fair-to-good or excellent for all the four behaviors (ICCs = 0.72 - 0.90).
Conclusion: Findings show acceptable validity and reliability of this questionnaire measure of 24-hour movement behaviors for typical week, past week and previous day recall periods.
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http://dx.doi.org/10.2188/jea.JE20250185 | DOI Listing |
J Epidemiol
September 2025
Faculty of Sport Sciences, Waseda University.
Background: Brief measures of 24-hour movement behaviors are needed to easily evaluate their durations. The present study investigated the criterion validity and test-retest reliability of a brief self-report instrument to assess 24-hour movement behaviors.
Methods: A paper-based self-administered questionnaire was used to assess sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) with four items in 35 healthy adults.
J Insect Physiol
September 2025
Instituto René Rachou, Avenida Augusto de Lima, 1715, CEP 30190-009, Belo Horizonte, Minas Gerais, Brazil. Electronic address:
Triatomines are vectors of Trypanosoma cruzi, the causative agent of Chagas disease. Their locomotor activity is influenced by endogenous and exogenous factors, but whether individual behavioral profiles persist across developmental stages remains unclear. This study evaluated non-oriented locomotor activity in Rhodnius prolixus under varying nutritional states (short-fasting, long-fasting, fed), developmental stages (5th instar nymphs and adults), sex (males and females), and light phase (photophase vs.
View Article and Find Full Text PDFMar Pollut Bull
September 2025
St Abbs Marine Station, The Harbour, St Abbs TD14 5PW, United Kingdom. Electronic address:
The offshore renewable energy industry is expanding rapidly due to decarbonisation commitments and need for energy security. This will change the marine environment in ways that are not fully understood, including more subsea power cables in the sea. Movement of electricity through these cables generates an electromagnetic field (EMF), which might affect marine species.
View Article and Find Full Text PDFSci Rep
September 2025
Department of Sports and Health Sciences, Hong Kong Baptist University, Hong Kong, China.
This study investigated the prospective associations between changes in 24-h movement behaviors and physical fitness (PF) components in preschool children; and examined how the reallocation of time between movement behaviours was associated with longitudinal changes in PF. This is a two-year longitudinal study of 200 Chinese children aged 3-4 years old. At baseline and follow-up, 24-h movement behaviors including moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), screen-based sedentary behavior (SSB), non-screen-based sedentary behavior (NSB), and sleep were assessed.
View Article and Find Full Text PDFJ Phys Act Health
September 2025
Applied Sports Technology Exercise and Medicine Research Centre, Swansea University, Swansea, Wales, United Kingdom.
Background: Wearable sensors recording acceleration provide a powerful tool for analysis of physical activity (PA). Continuous, high-rate data acquisition over extended periods gives highly resolved measurement of movement intensity. While increased complexity of PA analytics allows for deeper insight, it brings a challenge to statistical testing, where commonly used approaches require a single defining metric for PA per participant.
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