Joint associations between weekday and weekend physical activity or sedentary time and childhood obesity

[11] Broyles ST(2013)Changes in weight over the school year and summer vacation: results of a 5-year longitudinal study J Sch Health 83 11-8

[12] Champagne CM(2016)From kindergarten through second grade, U.S. children’s obesity prevalence grows only during summer vacations Obes (Silver Spring) 24 53-55

[13] Chaput JP(2013)The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods BMC Public Health 13 1360-15

[14] Fogelholm M(2015)Are participant characteristics from ISCOLE study sites comparable to the rest of their country? Int J Obes Suppl 5 2448-75

[15] Hubbard K(2015)Identifying children’s nocturnal sleep using 24-h waist accelerometry Med Sci Sports Exerc 47 207-7

[16] Economos CD(2015)Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) Int J Behav Nutr Phys Act 12 666-9

[17] Bakun P(2014)Fully automated waist-worn accelerometer algorithm for detecting children’s sleep-period time separate from 24-h physical activity or sedentary behaviors Appl Physiol Nutr Metab 39 660-9

[18] Boulos R(2011)Comparison of accelerometer cut points for predicting activity intensity in youth Med Sci Sports Exerc 43 S74-21

[19] Chui K(2010)Systematic review of the health benefits of physical activity and fitness in school-aged children and youth Int J Behav Nutr Phys Act 7 131-71

[20] Mueller MP(2011)Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis JAMA 305 S17-6

[11] Broyles ST(2013)Changes in weight over the school year and summer vacation: results of a 5-year longitudinal study J Sch Health 83 11-8

[12] Champagne CM(2016)From kindergarten through second grade, U.S. children’s obesity prevalence grows only during summer vacations Obes (Silver Spring) 24 53-55

[13] Chaput JP(2013)The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods BMC Public Health 13 1360-15

[14] Fogelholm M(2015)Are participant characteristics from ISCOLE study sites comparable to the rest of their country? Int J Obes Suppl 5 2448-75

[15] Hubbard K(2015)Identifying children’s nocturnal sleep using 24-h waist accelerometry Med Sci Sports Exerc 47 207-7

[16] Economos CD(2015)Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) Int J Behav Nutr Phys Act 12 666-9

[17] Bakun P(2014)Fully automated waist-worn accelerometer algorithm for detecting children’s sleep-period time separate from 24-h physical activity or sedentary behaviors Appl Physiol Nutr Metab 39 660-9

[18] Boulos R(2011)Comparison of accelerometer cut points for predicting activity intensity in youth Med Sci Sports Exerc 43 S74-21

[19] Chui K(2010)Systematic review of the health benefits of physical activity and fitness in school-aged children and youth Int J Behav Nutr Phys Act 7 131-71

[20] Mueller MP(2011)Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis JAMA 305 S17-6