Objectives: To compare sedentary time (ST) measured by self-report using a single question from the short-form International Physical Activity Questionnaire (SF-IPAQ), 18-items from the Sedentary Behaviour Questionnaire (SBQ) and objectively using an accelerometer among a large sample of nurses.
Design: Cross-sectional.
Methods: Participants wore an ActiGraph GT3X accelerometer (≥4 days, ≥10h/day) and self-reported usual day sitting using the IPAQ and sitting in different modes using the SBQ. Measures were compared using correlations, a Friedman test with Wilcoxon signed-ranks tests for pairwise comparisons, linear regression and Bland-Altman plots.
Results: A total of 313 nurses (95% female; mean±SD: age=43±12 years) from 14 hospitals participated. Participants self-reported sitting for a median of 240min/day using the SF-IPAQ and 328min/day using the SBQ. Median ST measured by the ActiGraph was 434min/day. All measures were weakly correlated with each other (ρ=0.31-40, ps<0.001). Limits of agreement were wide between all measures. Significant proportional bias between the ActiGraph and the SF-IPAQ and SBQ existed, suggesting that with greater amounts of ST, there is greater disagreement between the self-report and objective measures.
Conclusions: In a sample of nurses, self-reported ST using the SF-IPAQ and SBQ was significantly lower than that measured by accelerometer. A single-item tool performed more poorly than a multi-item questionnaire. Future studies should consider including both objective and self-report measures of ST, and where possible use a tool that quantifies ST across multiple domains, define a 'usual day' and are meaningful for those with daily schedule variations such as among shift-worker populations.
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http://dx.doi.org/10.1016/j.jsams.2018.01.018 | DOI Listing |
Sci Rep
January 2025
Department of Community Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Prolonged sitting can negatively impact postprandial glucose levels and cognitive function. While short bouts of stair climbing are thought to mitigate these risks, the findings remain inconclusive. The present study aimed to explore the effects of stair climbing bouts on postprandial glucose and cognitive functions during prolonged sitting.
View Article and Find Full Text PDFJ Clin Nurs
January 2025
Department of Orthopedic Rehabilitation, Shengli Oilfield Central Hospital, Dongying, Shandong, China.
Am J Hum Biol
January 2025
Research Centre for Anthropology and Health, University of Coimbra, Coimbra, Portugal.
Objectives: This study aimed to (i) compare children's lifestyle by urbanization level and (ii) examine the association between children's body mass index (BMI) and the risk of having unhealthy sleep (American Academy of Pediatrics).
Methods: Eight thousand one hundred fifty-nine children (4124 females) aged 6-9 years were observed and classified as urban or nonurban. Height and weight were measured, and the BMI was calculated.
Med Sci Sports Exerc
January 2025
Energy Metabolism Section, National Institute of Diabetes, Digestive and Kidney Diseases, Diabetes, Endocrinology, and Obesity Branch, National Institutes of Health (NIH), Bethesda, MD.
Introduction: ActiGraph accelerometers are used extensively to objectively assess physical activity, sedentary behavior, and sleep. Here, we present an objective validation of five generations of ActiGraph sensors to characterize potential differences in output arising from changes to hardware or firmware.
Methods: An orbital shaker generated accelerations from 0 to 3700 milli-g in a randomized order to test the wGT3X-BT, GT9X, CentrePoint Insight Watch (CPIW) 1.
Int J Behav Nutr Phys Act
January 2025
Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha, 410078, Hunan, China.
Background: Low physical activity (LPA) is a leading risk factor for type 2 diabetes mellitus (T2DM). We examine the temporal and spatial trends in the burden of T2DM attributable to LPA at the global, regional, and country scales.
Methods: Data were obtained from the Global Burden of Disease Study 2021.
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