Evaluation of raw acceleration sedentary thresholds in children and adults

Hildebrand, Maria; Hansen, Bjørge H.; van Hees, Vincent T.; Ekelund, Ulf

doi:10.1111/sms.12795

Cited by 428Physical Activity and HealthContext-Aware Activity Recognition SystemsSleep and related disorders

Evaluation of raw acceleration sedentary thresholds in children and adults

Hildebrand, Maria, Hansen, Bjørge H., van Hees, Vincent T., Ekelund, Ulf·2017·Scandinavian Journal of Medicine & Science in Sports

DOI 10.1111/sms.12795

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Abstract

The aim was to develop sedentary (sitting/lying) thresholds from hip and wrist worn raw tri-axial acceleration data from the ActiGraph and GENEActiv, and to examine the agreement between free-living time spent below these thresholds with sedentary time estimated by the activPAL. Sixty children and adults wore an ActiGraph and GENEActiv on the hip and wrist while performing six structured activities, before wearing the monitors, in addition to an activPAL, for 24 h. Receiver operating characteristic (ROC) curves were used to determine sedentary thresholds based on activities in the laboratory. Agreement between developed sedentary thresholds during free-living and activPAL were assessed by Bland-Altman plots and by calculating sensitivity and specificity. Using laboratory data and ROC-curves showed similar classification accuracy for wrist and hip thresholds (Area under the curve = 0.84-0.92). Greatest sensitivity (97-98%) and specificity (74-78%) were observed for the wrist thresholds, with no large differences between brands. During free-living, Bland-Altman plots showed large mean individual biases and 95% limits of agreement compared with activPAL, with smallest difference for the ActiGraph wrist threshold in children (+30 min, P = 0.3). Sensitivity and specificity for the developed thresholds during free-living were low for both age groups and for wrist (Sensitivity, 68-88%, Specificity, 46-59%) and hip placements (Sensitivity, 89-97%, Specificity, 26-34%). Laboratory derived sedentary thresholds generally overestimate free-living sedentary time compared with activPAL. Wrist thresholds appear to perform better than hip thresholds for estimating free-living sedentary time in children and adults relative to activPAL, however, specificity for all the developed thresholds are low.

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Intensity categories are delineated using threshold values derived from calibration studies that examine the association between movement acceleration and energy expenditure.
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Movement behaviors and their association with depressive symptoms in Brazilian adolescents: A cross-sectional study
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Eating Behavior, Physical Activity and Exercise Training: A Randomized Controlled Trial in Young Healthy Adults
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Differential associations of engagement in physical activity and estimated cardiorespiratory fitness with brain volume in middle-aged to older adults
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Development of raw acceleration cut-points for wrist and hip accelerometers to assess sedentary behaviour and physical activity in 5–7-year-old children
Crotti, M., Foweather, L., Rudd, J. R., Hurter, L., Schwarz, S., & Boddy, L. M. (2020) · Journal of Sports Sciences · doi:10.1080/02640414.2020.1740469 · Cited by 45 · see citing works
How do short sleepers use extra waking hours? A compositional analysis of 24-h time-use patterns among children and adolescents
Gába, A., Dygrýn, J., Štefelová, N., Rubín, L., Hron, K., Jakubec, L., & Pedišić, Ž. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-01004-8 · Cited by 37 · see citing works
Associations of physical activity and fitness with hepatic steatosis, liver enzymes, and insulin resistance in children with overweight/obesity
Medrano, M., Arenaza, L., Migueles, J. H., Rodríguez‐Vigil, B., Ruiz, J. R., & Labayen, I. (2020) · Pediatric Diabetes · doi:10.1111/pedi.13011 · Cited by 43 · see citing works
The use of the intensity gradient and average acceleration metrics to explore associations with BMI z-score in children
Buchan, D. S., McLellan, G., Donnelly, S., & Arthur, R. (2019) · Journal of Sports Sciences · doi:10.1080/02640414.2019.1664536 · Cited by 42 · see citing works
Cross-sectional and prospective associations of sleep, sedentary and active behaviors with mental health in older people: a compositional data analysis from the Seniors-ENRICA-2 study
Cabanas‐Sánchez, V., Esteban‐Cornejo, I., García‐Esquinas, E., Ortolá, R., Ara, I., Rodríguez‐Gómez, I., CHASTIN, S. F. M., Rodríguez‐Artalejo, F., & Martínez‐Gómez, D. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01194-9 · Cited by 41 · see citing works
Investigating associations between physical activity, stress experience, and affective wellbeing during an examination period using experience sampling and accelerometry
Hachenberger, J., Teuber, Z., Li, Y., Abkai, L., Wild, E., & Lemola, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-35987-8 · Cited by 42 · see citing works
Segmenting accelerometer data from daily life with unsupervised machine learning
van Kuppevelt, D., Heywood, J., Hamer, M., Sabia, S., Fitzsimons, E., & van Hees, V. (2019) · PLOS ONE · doi:10.1371/journal.pone.0208692 · Cited by 41 · see citing works
Simple Method for the Objective Activity Type Assessment with Preschoolers, Children and Adolescents
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Cross-generational comparability of hip- and wrist-worn ActiGraph GT3X+, wGT3X-BT, and GT9X accelerometers during free-living in adults
Clevenger, K. A., Pfeiffer, K. A., & Montoye, A. H. K. (2020) · Journal of Sports Sciences · doi:10.1080/02640414.2020.1801320 · Cited by 42 · see citing works
Effects of different exercise training programs on body composition: A randomized control trial
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Comparison of Sedentary Time Between Thigh-Worn and Wrist-Worn Accelerometers
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SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing
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Associations of Objectively-Assessed Physical Activity and Sedentary Time with Hippocampal Gray Matter Volume in Children with Overweight/Obesity
Migueles, J. H., Cadenas‐Sánchez, C., Esteban‐Cornejo, I., Torres‐Lopez, L. V., Aadland, E., CHASTIN, S. F. M., Erickson, K. I., Catena, A., & Ortega, F. B. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9041080 · Cited by 37 · see citing works
Assessing physical activity and function in patients with chronic kidney disease: a narrative review
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The impact of COVID‐19 restrictions on accelerometer‐assessed physical activity and sleep in individuals with type 2 diabetes
Rowlands, A. V., Henson, J. J., Coull, N. A., Edwardson, C. L., Brady, E. M., Hall, A. P., Khunti, K. K., Davies, M. J., & Yates, T. (2021) · Diabetic Medicine · doi:10.1111/dme.14549 · Cited by 37 · see citing works
Use of activPAL to Measure Physical Activity in Community-Dwelling Older Adults: A Systematic Review
Blackwood, J., Suzuki, R., Webster, N. J., Karczewski, H., Ziccardi, T., & Shah, S. (2022) · Archives of Rehabilitation Research and Clinical Translation · doi:10.1016/j.arrct.2022.100190 · Cited by 36 · see citing works
A Comparison of Wrist- Versus Hip-Worn ActiGraph Sensors for Assessing Physical Activity in Adults: A Systematic Review
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Sleep and cardiometabolic risk: a cluster analysis of actigraphy-derived sleep profiles in adults and children
Matricciani, L., Paquet, C., Fraysse, F., Grobler, A. C., Wang, Y., Baur, L. A., Juonala, M., Nguyen, M. T., Ranganathan, S., Burgner, D. P., et al. (2021) · SLEEP · doi:10.1093/sleep/zsab014 · Cited by 34 · see citing works
Intensity and Duration of Physical Activity and Cardiorespiratory Fitness
Burden, S. J., Weedon, B. D., Turner, A., Whaymand, L., Meaney, A., Dawes, H., & Jones, A. (2022) · PEDIATRICS · doi:10.1542/peds.2021-056003 · Cited by 35 · see citing works
Physical activity assessment by accelerometry in people with heart failure
Dibben, G. O., Gandhi, M. M., Taylor, R. S., Dalal, H. M., Metcalf, B. S., Doherty, P., Tang, L. H., Kelson, M. J., & Hillsdon, M. M. (2020) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-020-00196-7 · Cited by 33 · see citing works
Association of objectively measured physical activity with brown adipose tissue volume and activity in young adults
Acosta, F. M., Martínez‐Téllez, B., Sánchez‐Delgado, G., Migueles, J. H., Contreras-Gomez, M. A., Martinez-Avila, W. D., Merchán-Ramírez, E., Alcántara, J. M. A., Amaro‐Gahete, F. J., Elvira, J. M. L., et al. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01312 · Cited by 32 · see citing works
Evaluation of Wrist Accelerometer Cut-Points for Classifying Physical Activity Intensity in Youth
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Sedentarism, Physical Activity, Steps, and Neurotrophic Factors in Obese Children
Mora-González, J., Migueles, J. H., Esteban‐Cornejo, I., Cadenas‐Sánchez, C., Pastor‐Villaescusa, B., Molina‐García, P., Rodríguez‐Ayllón, M., Rico, M. C., Gil, Á., Aguilera, C. M., et al. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002064 · Cited by 28 · see citing works
Using accelerometry to classify physical activity intensity in older adults: What is the optimal wear‐site?
Duncan, M. J., Rowlands, A. V., Lawson, C., Wright, S. L., Hill, M., Morris, M. G., Eyre, E. L. J., & Tallis, J. A. (2019) · European Journal of Sport Science · doi:10.1080/17461391.2019.1694078 · Cited by 30 · see citing works
Cross-Generational Comparability of Raw and Count-Based Metrics from ActiGraph GT9X and wGT3X-BT Accelerometers during Free-Living in Youth
Clevenger, K. A., Pfeiffer, K. A., & Montoye, A. H. K. (2020) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2020.1773827 · Cited by 30 · see citing works
A school-based intervention (‘Girls Active’) to increase physical activity levels among 11- to 14-year-old girls: cluster RCT
Harrington, D. M., Davies, M. J., Bodicoat, D. H., Charles, J. M., Chudasama, Y., Gorely, T., Khunti, K. K., Rowlands, A. V., Sherar, L. B., Edwards, R. T., et al. (2019) · Public Health Research · doi:10.3310/phr07050 · Cited by 30 · see citing works
Association of physical activity and fitness with S-Klotho plasma levels in middle-aged sedentary adults: The FIT-AGEING study
Amaro‐Gahete, F. J., De‐la‐O, A., Jurado‐Fasoli, L., Gutiérrez, Á., Ruiz, J. R., & Castillo, M. J. (2019) · Maturitas · doi:10.1016/j.maturitas.2019.02.001 · Cited by 29 · see citing works
Stress, physical activity, sedentary behavior, and resilience—The effects of naturalistic periods of elevated stress: A measurement‐burst study
Lines, R. L. J., Ducker, K. J., Ntoumanis, N., Thøgersen‐Ntoumani, C., Fletcher, D., & Gucciardi, D. F. (2021) · Psychophysiology · doi:10.1111/psyp.13846 · Cited by 28 · see citing works
Objectively Measured Total Sedentary Time and Pattern of Sedentary Accumulation in Older Adults: Associations With Incident Cardiovascular Disease and All-Cause Mortality
Yerramalla, M. S., van Hees, V. T., Chen, M., Fayossé, A., CHASTIN, S. F. M., & Sabia, S. (2022) · The Journals of Gerontology Series A · doi:10.1093/gerona/glac023 · Cited by 28 · see citing works
Longitudinal associations of movement behaviours with body composition and physical fitness from 4 to 9 years of age: structural equation and mediation analysis with compositional data
Migueles, J. H., Nyström, C. D., Dumuid, D., Leppänen, M. H., Henriksson, P., & Löf, M. (2023) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-023-01417-1 · Cited by 28 · see citing works
Association between physical activity and sedentary behaviour and changes in intrinsic capacity in Spanish older adults (Seniors-ENRICA-2): a prospective population-based study
Sánchez‐Sánchez, J. L., Ortolá, R., Banegas, J. R., Lucı́a, A., Rodríguez-Artalejo, F., Sotos‐Prieto, M., & Valenzuela, P. L. (2025) · The Lancet Healthy Longevity · doi:10.1016/j.lanhl.2024.100681 · Cited by 27 · see citing works
Adherence to unsupervised exercise in sedentary individuals: A randomised feasibility trial of two mobile health interventions
Bannell, D. J., France-Ratcliffe, M., Buckley, B. J. R., Crozier, A., Davies, A. P., Hesketh, K. L., Jones, H., Cocks, M., Sprung, V. S., & on behalf of the MOTIVATE Team (2023) · DIGITAL HEALTH · doi:10.1177/20552076231183552 · Cited by 25 · see citing works
“The time spent in activity intensities was established using published thresholds.(30,31) Sedentary time was defined as time accumulated below 45 mg, light PA was defined as ≥46 mg and <100 mg, moderate PA was defined as ≥101 mg and <428 mg and vigorous PA was defined as ≥429 mg.”
Method
Using compositional analysis to explore the relationship between physical activity and cardiovascular health in children and adolescents with and without type 1 diabetes
Marshall, Z. A., Mackintosh, K. A., Gregory, J. W., & McNarry, M. A. (2021) · Pediatric Diabetes · doi:10.1111/pedi.13288 · Cited by 26 · see citing works
Comparison of raw accelerometry data from ActiGraph, Apple Watch, Garmin, and Fitbit using a mechanical shaker table
White, J. W., Finnegan, O., Tindall, N., Nelakuditi, S., Brown, D. E., Pate, R. R., Welk, G. J., de Zambotti, M., Ghosal, R., Wang, Y., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0286898 · Cited by 24 · see citing works
Validity Evidence for a Daily, Online-delivered, Adapted Version of the International Physical Activity Questionnaire Short Form (IPAQ-SF)
Kurth, J. D., & Klenosky, D. B. (2020) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2020.1847721 · Cited by 28 · see citing works
Association of Physical Activity, Sedentary Behavior, and Sleep With Unhealthy Aging: Consistent Results for Device-Measured and Self-reported Behaviors Using Isotemporal Substitution Models
Ortolá, R., García‐Esquinas, E., Cabanas‐Sánchez, V., Migueles, J. H., Martínez‐Gómez, D., & Rodríguez‐Artalejo, F. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa177 · Cited by 27 · see citing works
Absolute intensity thresholds for tri‐axial wrist and waist accelerometer‐measured movement behaviors in adults
Mielke, G. I., de Almeida Mendes, M., Ekelund, U., Rowlands, A. V., Reichert, F. F., & Crochemore‐Silva, I. (2023) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/sms.14416 · Cited by 26 · see citing works
Feasibility Study Comparing Physical Activity Classifications from Accelerometers with Wearable Camera Data
Davies, A. J., Allman-Farinelli, M. A., Owen, K. B., Signal, L. N., Hosking, C., Wang, L., & Bauman, A. E. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17249323 · Cited by 24 · see citing works
Comparing estimates of physical activity in children across different cut‐points and the associations with weight status
Leppänen, M. H., Migueles, J. H., Abdollahi, A. M., Engberg, E., Ortega, F. B., & Roos, E. (2022) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14147 · Cited by 24 · see citing works
Device-assessed sleep and physical activity in individuals recovering from a hospital admission for COVID-19: a multicentre study
Plekhanova, T., Rowlands, A. V., Evans, R. A., Edwardson, C. L., BISHOP, N. C., Bolton, C. E., Chalmers, J. D., Davies, M. J., Daynes, E., Dempsey, P. C., et al. (2022) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-022-01333-w · Cited by 24 · see citing works
Physical Activity, Body Composition, and Cardiometabolic Health during Pregnancy: A Compositional Data Approach
Sandborg, J., Migueles, J. H., Söderström, E., Blomberg, M. I., Henriksson, P., & Löf, M. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002996 · Cited by 24 · see citing works
Estimated Physical Activity in Adolescents by Wrist-worn GENEActiv Accelerometers
Sanders, S., Jimenez, E. Y., Cole, N., Kuhlemeier, A., McCauley, G., Horn, M. L. V., & Kong, A. (2019) · Journal of Physical Activity and Health · doi:10.1123/jpah.2018-0344 · Cited by 19 · see citing works
Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance
Migueles, J. H., Molina-Garcia, P., Torres-Lopez, L. V., Cadenas-Sanchez, C., Rowlands, A. V., Ebner-Priemer, U. W., Koch, E. D., Reif, A., & Ortega, F. B. (2022) · Scientific Reports · doi:10.1038/s41598-022-09469-2 · Cited by 22 · see citing works
Autonomic Profile, Physical Activity, Body Mass Index and Academic Performance of School Students
Mendoza-Castejón, D., & Clemente‐Suárez, V. J. (2020) · Sustainability · doi:10.3390/su12176718 · Cited by 23 · see citing works
Validation of the Apple Watch for Estimating Moderate-to-Vigorous Physical Activity and Activity Energy Expenditure in School-Aged Children
Kwon, S., Kim, Y., Bai, Y., Burns, R. D., Brusseau, T. A., & Byun, W. (2021) · Sensors · doi:10.3390/s21196413 · Cited by 22 · see citing works
Physical activity is inversely associated with hepatic fibro-inflammation: A population-based cohort study using UK Biobank data
Sherry, A. P., Willis, S. A., Yates, T. E., Johnson, W., Razieh, C., Sargeant, J. A., Malaikah, S., Stensel, D. J., Aithal, G. P., & King, J. A. (2022) · JHEP Reports · doi:10.1016/j.jhepr.2022.100622 · Cited by 22 · see citing works
Protocol for a two-cohort randomized cluster clinical trial of a motor skills intervention: The Promoting Activity and Trajectories of Health (PATH) Study
Robinson, L., Wang, L., Colabianchi, N., Stodden, D., & Ulrich, D. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-037497 · Cited by 22 · see citing works
Comparison of Free-Living and Laboratory Activity Outcomes from ActiGraph Accelerometers Worn on the Dominant and Non-Dominant Wrists
Buchan, D. S., Boddy, L. M., & McLellan, G. (2020) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2020.1801441 · Cited by 20 · see citing works
Associations of sleep with gray matter volume and their implications for academic achievement, executive function and intelligence in children with overweight/obesity
Migueles, J. H., Cadenas‐Sánchez, C., Esteban‐Cornejo, I., Mora-González, J., Rodríguez‐Ayllón, M., Solis‐Urra, P., Erickson, K. I., Kramer, A. F., Hillman, C. H., Catena, A., et al. (2020) · Pediatric Obesity · doi:10.1111/ijpo.12707 · Cited by 23 · see citing works
Day-to-day and longer-term longitudinal associations between physical activity, sedentary behavior, and sleep in children
Antczak, D., Sanders, T., Cruz, B. D. P., Parker, P. D., & Lonsdale, C. (2020) · SLEEP · doi:10.1093/sleep/zsaa219 · Cited by 20 · see citing works
Heart rate rather than heart rate variability is better associated with cardiorespiratory fitness in adults
Plaza‐Florido, A., Amaro‐Gahete, F. J., Acosta, F. M., Sacha, J., & Alcántara, J. M. A. (2021) · European Journal of Sport Science · doi:10.1080/17461391.2021.1892198 · Cited by 20 · see citing works
Physical Activity, Sedentary Behavior, and White Matter Microstructure in Children with Overweight or Obesity
Rodríguez‐Ayllón, M., Esteban‐Cornejo, I., Verdejo‐Román, J., Muetzel, R. L., Migueles, J. H., Mora-González, J., Solis‐Urra, P., Erickson, K. I., Hillman, C. H., Catena, A., et al. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002233 · Cited by 20 · see citing works
Physical activity, sedentary time, and fitness in relation to brain shapes in children with overweight/obesity: Links to intelligence
Cadenas‐Sánchez, C., Migueles, J. H., Verdejo‐Román, J., Erickson, K. I., Esteban‐Cornejo, I., Catena, A., & Ortega, F. B. (2022) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14263 · Cited by 19 · see citing works
Validity of a Novel Research-Grade Physical Activity and Sleep Monitor for Continuous Remote Patient Monitoring
McDevitt, B., Moore, L. D., Akhtar, N., Connolly, J., Doherty, R., & Scott, W. (2021) · Sensors · doi:10.3390/s21062034 · Cited by 19 · see citing works
Physical Activity in Centenarians beyond Cut-Point-Based Accelerometer Metrics
Hernández‐Vicente, A., Marín-Puyalto, J., Pueyo, E., Vicente‐Rodríguez, G., & Garatachea, N. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191811384 · Cited by 17 · see citing works
Association of physical activity, sedentary behaviour, and daylight exposure with sleep in an ageing population: findings from the Whitehall accelerometer sub-study
Cornu, Q. L., Chen, M., van Hees, V. T., Léger, D., Fayossé, A., Yerramalla, M. S., & Sabia, S. (2022) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-022-01391-0 · Cited by 17 · see citing works
Characterising activity and diet compositions for dementia prevention: protocol for the ACTIVate prospective longitudinal cohort study
Smith, A. E., Wade, A. T., Olds, T., Dumuid, D., Breakspear, M. J., Laver, K., Goldsworthy, M. R., Ridding, M. C., Fabiani, M., Dorrian, J., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2020-047888 · Cited by 16 · see citing works
Impact of Virtual vs. In-Person School on Children Meeting the 24-h Movement Guidelines during the COVID-19 Pandemic
Pfledderer, C. D., Beets, M. W., Burkart, S. A., Adams, E. L., Weaver, R. G., Zhu, X., & Armstrong, B. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191811211 · Cited by 16 · see citing works
Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO)
Weber, A., van Hees, V. T., Stein, M. J., Gastell, S., Steindorf, K., Herbolsheimer, F., Ostrzinski, S., Pischon, T., Brandes, M., Krist, L., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-58461-5 · Cited by 16 · see citing works
Comparing physical activity estimates in children from hip-worn Actigraph GT3X+ accelerometers using raw and counts based processing methods
Buchan, D. S., & McLellan, G. (2018) · Journal of Sports Sciences · doi:10.1080/02640414.2018.1527198 · Cited by 16 · see citing works
Association of sedentary and physical activity time with maximal fat oxidation during exercise in sedentary adults
Amaro‐Gahete, F. J., Acosta, F. M., Migueles, J. H., Ponce‐González, J. G., & Ruiz, J. R. (2020) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.13696 · Cited by 16 · see citing works

Establishing Raw Acceleration Thresholds to Classify Sedentary and Stationary Behaviour in Children
Hurter, L., Fairclough, S. J., Knowles, Z. R., Porcellato, L. A., Cooper-Ryan, A. M., & Boddy, L. M. (2018) · Children · doi:10.3390/children5120172 · Cited by 52 · see citing works
Comparability of children's sedentary time estimates derived from wrist worn GENEActiv and hip worn ActiGraph accelerometer thresholds.
Boddy, L., Noonan, R., Kim, Y., Rowlands, A., Welk, G. J., Knowles, Z., & Fairclough, S. (2018) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2018.03.015 · Cited by 15 · see citing works
Comparison of Sedentary Estimates between activPAL and Hip- and Wrist-Worn ActiGraph
Koster, A., Shiroma, E. J., Caserotti, P., Matthews, C. E., Chen, K. Y., Glynn, N. W., & Harris, T. B. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000924 · Cited by 163 · see citing works
Actical Accelerometer Sedentary Activity Thresholds for Adults
Wong, S. L., Colley, R. C., Gorber, S. C., & Tremblay, M. S. (2011) · Journal of Physical Activity and Health · doi:10.1123/jpah.8.4.587 · Cited by 177 · see citing works
The backwards comparability of wrist worn GENEActiv and waist worn ActiGraph accelerometer estimates of sedentary time in children
Boddy, L. M., Noonan, R. J., Rowlands, A. V., Hurter, L., Knowles, Z. R., & Fairclough, S. J. (2019) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2019.02.001 · Cited by 5 · see citing works

Authors: Hildebrand, M., Hansen, B. H., van Hees, V. T., & Ekelund, U.
Affiliations: Norwegian School of Sport Sciences (NO)
Netherlands eScience Center Amsterdam The Netherlands
Corresponding author: Hildebrand, Maria
ORCID: Hildebrand, Maria
Hansen, Bjørge H.
Ekelund, Ulf
Venue: Scandinavian Journal of Medicine & Science in Sports
Publisher: Wiley
Published: 2016-11-22
Volume: 27
Issue: 12
Pages: 1814-1823
ISSN: 0905-7188 (ISSN-L)
1600-0838
DOI: 10.1111/sms.12795
OpenAlex: W2552428245
Cited by: 425
References: 35
Citations by year: 2026: 61 · 2025: 66 · 2024: 70 · 2023: 48 · 2022: 55 · 2021: 39 · 2020: 40 · 2019: 27 · 2018: 13 · 2017: 5
FWCI: 12.08
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Scandinavian Journal of Medicine and Science in Sports (publishedVersion)
PubMed (publishedVersion)
Funders: Norwegian School of Sport Sciences
Topics: Health Sciences › Medicine › Physiology › Physical Activity and Health
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
Keywords: sedentary behavior, hip-worn accelerometers, wrist-worn accelerometers, ActiGraph, GENEActiv, activPAL, children, adults
MeSH terms: Fitness Trackers, Adult, Child, Female, Hip, Humans, Male, Middle Aged, Norway, Reference Values, ROC Curve, Sensitivity and Specificity, Wrist, Young Adult, Sedentary Behavior, Accelerometry

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Evaluation of raw acceleration sedentary thresholds in children and adults

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