Sensor-based physical activity, sedentary time, and reported cell phone screen time: A hierarchy of correlates in youth.
作者： Pedro B. Júdice , João P. Magalhães , Gil B. Rosa , Duarte Henriques-Neto , Megan Hetherington-Rauth
DOI: 10.1016/J.JSHS.2020.03.003
关键词:
摘要: … states that youth should limit their screen time to a maximum of 2 h/day. The time spent looking at the cell phone is the most prevalent type of screen time in youth, 31 which explains …
sci-hub.se 参考文章(60)
Xihe Zhu, Justin A. Haegele, Yan Tang, Xueping Wu, Prevalence and Demographic Correlates of Overweight, Physical Activity, and Screen Time Among School-Aged Children in Urban China: The Shanghai Study. Asia-Pacific Journal of Public Health. ,vol. 30, pp. 118- 127 ,(2018) , 10.1177/1010539518754538
Sunyue Ye, Lijian Chen, Qineng Wang, Qinggong Li, Correlates of screen time among 8-19-year-old students in China. BMC Public Health. ,vol. 18, pp. 467- ,(2018) , 10.1186/S12889-018-5355-3
Bettina Bringolf-Isler, Kees De Hoogh, Christian Schindler, Bengt Kayser, L Suzanne Suggs, Alain Dössegger, Nicole Probst-Hensch, SOPHYA Study Group, None, Sedentary Behaviour in Swiss Children and Adolescents: Disentangling Associations with the Perceived and Objectively Measured Environment. International Journal of Environmental Research and Public Health. ,vol. 15, pp. 918- ,(2018) , 10.3390/IJERPH15050918
Diana A. Santos, Pedro B. Júdice, João P. Magalhães, Inês R. Correia, Analiza M. Silva, Fátima Baptista, Luís B. Sardinha, Patterns of accelerometer-derived sedentary time across the lifespan. Journal of Sports Sciences. ,vol. 36, pp. 2809- 2817 ,(2018) , 10.1080/02640414.2018.1474537
Chelsea L Kracht, Susan B Sisson, Sibling influence on children's objectively measured physical activity: a meta-analysis and systematic review. BMJ open sport and exercise medicine. ,vol. 4, ,(2018) , 10.1136/BMJSEM-2018-000405
Regina Guthold, Gretchen A Stevens, Leanne M Riley, Fiona C Bull, Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants The Lancet Global Health. ,vol. 6, ,(2018) , 10.1016/S2214-109X(18)30357-7
T. Skrede, J. Steene‐Johannessen, S. A. Anderssen, G. K. Resaland, U. Ekelund, The prospective association between objectively measured sedentary time, moderate‐to‐vigorous physical activity and cardiometabolic risk factors in youth: a systematic review and meta‐analysis Obesity Reviews. ,vol. 20, pp. 55- 74 ,(2019) , 10.1111/OBR.12758
Eun-Young Lee, Valerie Carson, Justin Y. Jeon, John C. Spence, Mark S. Tremblay, Levels and correlates of 24-hour movement behaviors among South Koreans: Results from the Korea National Health and Nutrition Examination Surveys, 2014 and 2015. Journal of Sport and Health Science. ,vol. 8, pp. 376- 385 ,(2019) , 10.1016/J.JSHS.2018.11.007
Verónica Cabanas-Sánchez, Rocío Izquierdo-Gómez, Laura García-Cervantes, José Castro-Piñero, Julio Conde-Caveda, Oscar L. Veiga, Environmental correlates of total and domain-specific sedentary behaviour in young people. The UP&DOWN study. European Journal of Sport Science. ,vol. 19, pp. 696- 706 ,(2019) , 10.1080/17461391.2018.1551425
Shooka Mohammadi, Muhammad Jalaludin, Tin Su, Maznah Dahlui, Mohd Azmi Mohamed, Hazreen Abdul Majid, Determinants of Diet and Physical Activity in Malaysian Adolescents: A Systematic Review International Journal of Environmental Research and Public Health. ,vol. 16, pp. 603- ,(2019) , 10.3390/IJERPH16040603