Evaluation of raw acceleration sedentary thresholds in children and adults

Cited by (428)

Items 301–400 of 428

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34. “If You Haven’t Slept a Lot (…) You Don’t Want to Go Out for a Run, You Don’t Want to Ride a Bike, You Just Kind of Sit and You Just (…) Do Nothing”—Perceptions of 24-Hour Movement Behaviours Among Adolescents Living with Type 1 Diabetes
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35. Sleep Duration Modifies the Association of the Alternate Mediterranean Diet Score With Metabolic Syndrome in Midlife Women in Mexico
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36. Meeting Sleep Duration Recommendations is Associated With Lower Abdominal Adipose Tissue in 10‐Year‐Old Boys
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45. Additional file 1 of Reliability of GENEActiv accelerometers to estimate sleep, physical activity, and sedentary time in children
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46. Additional file 8 of Increasing Children’s physical Activity by Policy (CAP) in preschools within the Stockholm region: study protocol for a pragmatic cluster-randomized controlled trial
    Chu Chen, Ahlqvist, V. H., Henriksson, P., Migueles, J. H., Christiansen, F., Galanti, M. R., Berglind, D. · 2022 · Figshare
47. Additional file 1 of Association of physical activity, sedentary behaviour, and daylight exposure with sleep in an ageing population: findings from the Whitehall accelerometer sub-study
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48. Additional file 2 of Differences in elementary-age children’s accelerometer - measured physical activity between school and summer: three-year findings from the What’s UP (Undermining Prevention) with summer observational cohort study
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49. Additional file 1 of Increasing Children’s physical Activity by Policy (CAP) in preschools within the Stockholm region: study protocol for a pragmatic cluster-randomized controlled trial
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50. Additional file 5 of Increasing Children’s physical Activity by Policy (CAP) in preschools within the Stockholm region: study protocol for a pragmatic cluster-randomized controlled trial
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51. Additional file 1 of Differences in elementary-age children’s accelerometer - measured physical activity between school and summer: three-year findings from the What’s UP (Undermining Prevention) with summer observational cohort study
    Michael W. Beets, Sarah A. Burkart, Christopher D. Pfledderer, Elizabeth L. Adams, Weaver, R. Glenn, Armstrong, Bridget, Keith Brazendale, Xuanxuan Zhu, Alexander C. McLain, Brie M. Turner-McGrievy et al. · 2024 · Figshare
52. Additional file 1 of Criterion validity of wrist accelerometry for assessing energy intake via the intake-balance technique
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53. Additional file 9 of Increasing Children’s physical Activity by Policy (CAP) in preschools within the Stockholm region: study protocol for a pragmatic cluster-randomized controlled trial
    Chu Chen, Ahlqvist, V. H., Henriksson, P., Migueles, J. H., Christiansen, F., Galanti, M. R., Berglind, D. · 2022 · Figshare
54. Additional file 1 of How the COVID-19 pandemic and related school closures reduce physical activity among children and adolescents in the WHO European Region: a systematic review and meta-analysis
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55. Additional file 1 of Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults
    Manasa Shanta Yerramalla, Duncan E. McGregor, Vincent T. van Hees, Aurore Fayossé, Aline Dugravot, Ádám Gyula Tabák, Mathilde Chen, Chastin, Sebastien F. M., Sèverine Sabia · 2021 · Figshare
56. Additional file 2 of Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults
    Manasa Shanta Yerramalla, Duncan E. McGregor, Vincent T. van Hees, Aurore Fayossé, Aline Dugravot, Ádám Gyula Tabák, Mathilde Chen, Chastin, Sebastien F. M., Sèverine Sabia · 2021 · Figshare
57. Additional file 1 of Physical Activity and Cardiovascular Risk Factors in Children from 4 to 9 Years of Age
    Delisle Nyström, Christine, Migueles, Jairo H., Henriksson, Pontus, Löf, Marie · 2023 · Figshare
58. Additional file 3 of The cross-sectional and prospective associations of parental practices and environmental factors with 24-hour movement behaviours among school-aged Asian children
    Natarajan Padmapriya, Fogel, Anna, Sarah Yi Xuan Tan, Claire Marie Jie Lin Goh, Shuen Lin Tan, Airu Chia, Anne H. Y. Chu, Chong, Yap Seng, Tan, Kok Hian, Chan, Shiao-Yng et al. · 2024 · Figshare
59. Additional file 2 of Device-assessed sleep and physical activity in individuals recovering from a hospital admission for COVID-19: a multicentre study
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60. Additional file 1 of Movement behaviour typologies and their associations with adiposity indicators in children and adolescents: a latent profile analysis of 24-h compositional data
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61. Additional file 6 of Increasing Children’s physical Activity by Policy (CAP) in preschools within the Stockholm region: study protocol for a pragmatic cluster-randomized controlled trial
    Chu Chen, Ahlqvist, V. H., Henriksson, P., Migueles, J. H., Christiansen, F., Galanti, M. R., Berglind, D. · 2022 · Figshare
62. Additional file 3 of Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults
    Manasa Shanta Yerramalla, Duncan E. McGregor, Vincent T. van Hees, Aurore Fayossé, Aline Dugravot, Ádám Gyula Tabák, Mathilde Chen, Chastin, Sebastien F. M., Sèverine Sabia · 2021 · Figshare
63. Additional file 1 of Device-measured movement behaviors and cardiac biomarkers in older adults without major cardiovascular disease: the Seniors-ENRICA-2 study
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64. Additional file 1 of Physical activity assessment by accelerometry in people with heart failure
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65. Additional file 4 of 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
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66. Additional file 1 of Device-measured physical activity and sedentary time in a national sample of Luxembourg residents: the ORISCAV-LUX 2 study
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67. Additional file 7 of Increasing Children’s physical Activity by Policy (CAP) in preschools within the Stockholm region: study protocol for a pragmatic cluster-randomized controlled trial
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68. Additional file 1 of Associations Between Wearable-Specific Indicators of Physical Activity Behaviour and Insulin Sensitivity and Glycated Haemoglobin in the General Population: Results from the ORISCAV-LUX 2 Study
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70. Additional file 1 of 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
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71. Additional file 2 of The cross-sectional and prospective associations of parental practices and environmental factors with 24-hour movement behaviours among school-aged Asian children
    Natarajan Padmapriya, Fogel, Anna, Sarah Yi Xuan Tan, Claire Marie Jie Lin Goh, Shuen Lin Tan, Airu Chia, Anne H. Y. Chu, Chong, Yap Seng, Tan, Kok Hian, Chan, Shiao-Yng et al. · 2024 · Figshare
72. Additional file 2 of Physical activity assessment by accelerometry in people with heart failure
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73. Additional file 1 of The cross-sectional and prospective associations of parental practices and environmental factors with 24-hour movement behaviours among school-aged Asian children
    Natarajan Padmapriya, Fogel, Anna, Sarah Yi Xuan Tan, Claire Marie Jie Lin Goh, Shuen Lin Tan, Airu Chia, Anne H. Y. Chu, Chong, Yap Seng, Tan, Kok Hian, Chan, Shiao-Yng et al. · 2024 · Figshare
74. Additional file 1 of Substituting device-measured sedentary time with alternative 24-hour movement behaviours: compositional associations with adiposity and cardiometabolic risk in the ORISCAV-LUX 2 study
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