References of the Studies Reviewed Ordered by Data Collection Protocols and Data Processing

References of the studies reviewed ordered by data collection protocols and data processing criteria

Index

1. Preschoolers______2

1.1. Placement...... 2

1.2. Sampling Frequency...... 4

1.3. Filter...... 6

1.4. Epoch length...... 7

1.5. Non-wear time definition...... 10

1.6. Cut-points for sedentary time...... 11

1.7. Cut-points for physical activity intensity classification...... 14

1.8. Energy expenditure algorithms...... 17

1.9. Sleep algorithms...... 18

2. Children and adolescents______19

2.1. Placement...... 19

2.2. Sampling Frequency...... 26

2.3. Filter...... 32

2.4. Epoch length...... 34

2.5. Non-wear time definition...... 41

2.6. Cut-points for sedentary time...... 46

2.7. Cut-points for physical activity intensity classification...... 51

2.8. Energy expenditure algorithms...... 58

2.9. Sleep algorithms...... 61

3. Adults______62

3.1. Placement...... 62

3.2. Sampling Frequency...... 72

3.3. Filter...... 80

3.4. Epoch length...... 84

3.5. Non-wear time definition...... 91

3.6. Cut-points for sedentary time...... 96

3.7. Cut-points for physical activity intensity classification...... 101

3.8. Energy expenditure algorithms...... 106

3.9. Sleep algorithms...... 107

4. Older adults______108

4.1. Placement...... 108

4.2. Sampling Frequency...... 113

4.3. Filter...... 118

4.4. Epoch length...... 119

4.5. Non-wear time definition...... 124

4.6. Cut-points for sedentary time...... 128

4.7. Cut-points for physical activity intensity classification...... 132

4.8. Energy expenditure algorithms...... 136

4.9. Sleep algorithms...... 137

1. PRESCHOOLERS

1.1. Placement

· Hip

1. Butte NF, Wong WW, Lee JS, et al. Prediction of energy expenditure and physical activity in preschoolers. Med Sci Sports Exerc. 2014;46:1216–26.

2. Costa S, Barber SE, Cameron N, et al. Calibration and validation of the ActiGraph GT3X+ in 2-3 year olds. J Sci Med Sport. 2013;17:617–22. doi:10.1016/j.jsams.2013.11.005

3. Flynn JI, Coe DP, Larsen CA, et al. Detecting indoor and outdoor environments using the ActiGraph GT3X+ light sensor in children. Med Sci Sports Exerc. 2014;46:201–6.

4. Martin A, McNeil M, Penpraze V, et al. Objective measurement of habitual sedentary behavior in pre-school children: comparison of activPAL with ActiGraph monitors. 2011;468–76.

5. Janssen X, Cliff DP, Reilly JJ, et al. Predictive validity and classification accuracy of ActiGraph energy expenditure equations and cut-points in young children. PLoS One. 2013;8(11): e79124.

6. Jimmy G, Seiler R, Mäder U. Development and validation of GT3X accelerometer cut-off points in 5- to 9-year-old children based on indirect calorimetry measurements. Schweizerische Zeitschrift fur Sport und Sport. 2013;61:37–43.

7. Kahan D, Nicaise V, Reuben K. Convergent validity of four accelerometer cutpoints with direct observation of preschool children’s outdoor physical activity. Res Q Exerc Sport. 2013;84:59–67. doi:10.1080/02701367.2013.762294

8. Meredith-Jones K, Williams S, Galland B, et al. 24 h accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake. J Sports Sci. 2015;414:1–7. doi:10.1080/02640414.2015.1068438

9. Pulakka A, Cheung YB, Ashorn U, et al. Feasibility and validity of the ActiGraph GT3X accelerometer in measuring physical activity of Malawian toddlers. Acta Paediatr Int J Paediatr. 2013;102:1192–8.

10. Zakeri IF, Adolph AL, Puyau MR, et al. Cross-sectional time series and multivariate adaptive regression splines models using accelerometry and heart rate predict energy expenditure of preschoolers. J Nutr. 2013;143:114–22.

11. Costa S, Barber SE, Cameron N, et al. The objective measurement of physical activity and sedentary behaviour in 2–3 year olds and their parents: a cross-sectional feasibility study in the bi-ethnic Born in Bradford cohort. BMC Public Health. 2015;15:1109.

12. De Craemer M, De Decker E, De Bourdeaudhuij I, et al. The translation of preschoolers’ physical activity guidelines into a daily step count target. J Sports Sci. 2014;33:1051–7.

13. De Craemer M, De Decker E, Verloigne M, et al. The effect of a kindergarten-based, family-involved intervention on objectively measured physical activity in Belgian preschool boys and girls of high and low SES: the ToyBox-study. Int J Behav Nutr Phys Act. 2014;11:38.

14. España-Romero V, Mitchell JA, Dowda M, et al. Objectively measured sedentary time, physical activity and markers of body fat in preschool children. Pediatr Exerc Sci. 2013;25:154–63.

15. Olesen LG, Kristensen PL, Korsholm L, et al. Correlates of objectively measured physical activity in 5-6 year old preschool children. J Sports Med Phys Fitness. 2015;in press.

16. Olesen LG, Kristensen PL, Korsholm L, et al. Physical activity in children attending preschools. Pediatrics. 2013;132:e1310–8.

17. Pulakka A, Ashorn U, Cheung YB, et al. Effect of 12-month intervention with lipid-based nutrient supplements on physical activity of 18-month-old Malawian children: a randomised, controlled trial. Eur J Clin Nutr. 2014;69:173–8.

18. Vaughn AE, Hales D, Ward DS. Measuring the physical activity practices used by parents of preschool children. Med Sci Sports Exerc. 2013;45:2369–77.

19. Verbestel V, De Henauw S, Bammann K, et al. Are context-specific measures of parental-reported physical activity and sedentary behaviour associated with accelerometer data in 2-9-year-old European children? Public Health Nutr. 2014;18:1–9.

20. Hagenbuchner M, Cliff DP, Trost SG, et al. Prediction of activity type in preschool children using machine learning techniques. J Sci Med Sport. 2015;18(4):426–31.

21. O’Connor TM, Cerin E, Robles J, et al. Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communication. Geospat Health. 2013;7:375–80.

22. Sharma S, Chuang RJ, Skala K, et al. Measuring physical activity in preschoolers: reliability and validity of the System for Observing Fitness Instruction Time for preschoolers (SOFIT-P). Meas Phys Educ Exerc Sci. 2011;15:257–73.

· Left wrist

1. Johansson E, Ekelund U, Nero H, et al. Calibration and cross-validation of a wrist-worn Actigraph in young preschoolers. Pediatr Obes. 2014;1–6.

2. Johansson E, Hagströmer M, Svensson V, et al. Objectively measured physical activity in two-year-old children-levels, patterns and correlates. Int J Behav Nutr Phys Act. 2015;12–3.

1.2. Sampling Frequency

· 30 Hz

1. Janssen X, Cliff DP, Reilly JJ, et al. Predictive validity and classification accuracy of ActiGraph energy expenditure equations and cut-points in young children. PLoS One. 2013;8(11): e79124.

2. Jimmy G, Seiler R, Mäder U. Development and validation of GT3X accelerometer cut-off points in 5- to 9-year-old children based on indirect calorimetry measurements. Schweizerische Zeitschrift fur Sport und Sport. 2013;61:37–43.

3. Johansson E, Ekelund U, Nero H, et al. Calibration and cross-validation of a wrist-worn Actigraph in young preschoolers. Pediatr Obes. 2014;1–6.

4. Kahan D, Nicaise V, Reuben K. Convergent validity of four accelerometer cutpoints with direct observation of preschool children’s outdoor physical activity. Res Q Exerc Sport. 2013;84:59–67. doi:10.1080/02701367.2013.762294

5. Meredith-Jones K, Williams S, Galland B, et al. 24 h accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake. J Sports Sci. 2015;414:1–7. doi:10.1080/02640414.2015.1068438

6. Pulakka A, Cheung YB, Ashorn U, et al. Feasibility and validity of the ActiGraph GT3X accelerometer in measuring physical activity of Malawian toddlers. Acta Paediatr Int J Paediatr. 2013;102:1192–8.

7. Zakeri IF, Adolph AL, Puyau MR, et al. Cross-sectional time series and multivariate adaptive regression splines models using accelerometry and heart rate predict energy expenditure of preschoolers. J Nutr. 2013;143:114–22.

8. España-Romero V, Mitchell JA, Dowda M, et al. Objectively measured sedentary time, physical activity and markers of body fat in preschool children. Pediatr Exerc Sci. 2013;25:154–63.

9. Johansson E, Hagströmer M, Svensson V, et al. Objectively measured physical activity in two-year-old children-levels, patterns and correlates. Int J Behav Nutr Phys Act. 2015;12–3.

10. Olesen LG, Kristensen PL, Korsholm L, et al. Correlates of objectively measured physical activity in 5-6 year old preschool children. J Sports Med Phys Fitness. 2015;in press.

11. Olesen LG, Kristensen PL, Korsholm L, et al. Physical activity in children attending preschools. Pediatrics. 2013;132:e1310–8.

12. Vaughn AE, Hales D, Ward DS. Measuring the physical activity practices used by parents of preschool children. Med Sci Sports Exerc. 2013;45:2369–77.

13. Verbestel V, De Henauw S, Bammann K, et al. Are context-specific measures of parental-reported physical activity and sedentary behaviour associated with accelerometer data in 2-9-year-old European children? Public Health Nutr. 2014;18:1–9.

14. O’Connor TM, Cerin E, Robles J, et al. Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communication. Geospat Health. 2013;7:375–80.

15. Sharma S, Chuang RJ, Skala K, et al. Measuring physical activity in preschoolers: reliability and validity of the System for Observing Fitness Instruction Time for preschoolers (SOFIT-P). Meas Phys Educ Exerc Sci. 2011;15:257–73.

· 60 Hz.

1. Flynn JI, Coe DP, Larsen CA, et al. Detecting indoor and outdoor environments using the ActiGraph GT3X+ light sensor in children. Med Sci Sports Exerc. 2014;46:201–6.

2. Costa S, Barber SE, Cameron N, et al. The objective measurement of physical activity and sedentary behaviour in 2–3 year olds and their parents: a cross-sectional feasibility study in the bi-ethnic Born in Bradford cohort. BMC Public Health. 2015;15:1109.

· 80 Hz.

1. Costa S, Barber SE, Cameron N, et al. Calibration and validation of the ActiGraph GT3X+ in 2-3 year olds. J Sci Med Sport. 2013;17:617–22. doi:10.1016/j.jsams.2013.11.005

· 100 Hz.

1. Hagenbuchner M, Cliff DP, Trost SG, et al. Prediction of activity type in preschool children using machine learning techniques. J Sci Med Sport. 2015;18(4):426–31.

1.3. Filter

· Normal filter

1. Butte NF, Wong WW, Lee JS, et al. Prediction of energy expenditure and physical activity in preschoolers. Med Sci Sports Exerc. 2014;46:1216–26.

3. Johansson E, Ekelund U, Nero H, et al. Calibration and cross-validation of a wrist-worn Actigraph in young preschoolers. Pediatr Obes. 2014;1–6.

4. Meredith-Jones K, Williams S, Galland B, et al. 24 h accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake. J Sports Sci. 2015;414:1–7. doi:10.1080/02640414.2015.1068438

5. Pulakka A, Cheung YB, Ashorn U, et al. Feasibility and validity of the ActiGraph GT3X accelerometer in measuring physical activity of Malawian toddlers. Acta Paediatr Int J Paediatr. 2013;102:1192–8.

6. Zakeri IF, Adolph AL, Puyau MR, et al. Cross-sectional time series and multivariate adaptive regression splines models using accelerometry and heart rate predict energy expenditure of preschoolers. J Nutr. 2013;143:114–22.

7. Johansson E, Hagströmer M, Svensson V, et al. Objectively measured physical activity in two-year-old children-levels, patterns and correlates. Int J Behav Nutr Phys Act. 2015;12–3.

8. Pulakka A, Ashorn U, Cheung YB, et al. Effect of 12-month intervention with lipid-based nutrient supplements on physical activity of 18-month-old Malawian children: a randomised, controlled trial. Eur J Clin Nutr. 2014;69:173–8.

· Low-frequency extension filter

1. Costa S, Barber SE, Cameron N, et al. Calibration and validation of the ActiGraph GT3X+ in 2-3 year olds. J Sci Med Sport. 2013;17:617–22. doi:10.1016/j.jsams.2013.11.005

1.4. Epoch length

· 1 second

1. Hagenbuchner M, Cliff DP, Trost SG, et al. Prediction of activity type in preschool children using machine learning techniques. J Sci Med Sport. 2015;18(4):426–31.

· 5 seconds

1. Costa S, Barber SE, Cameron N, et al. Calibration and validation of the ActiGraph GT3X+ in 2-3 year olds. J Sci Med Sport. 2013;17:617–22. doi:10.1016/j.jsams.2013.11.005

3. Johansson E, Ekelund U, Nero H, et al. Calibration and cross-validation of a wrist-worn Actigraph in young preschoolers. Pediatr Obes. 2014;1–6.

5. Costa S, Barber SE, Cameron N, et al. The objective measurement of physical activity and sedentary behaviour in 2–3 year olds and their parents: a cross-sectional feasibility study in the bi-ethnic Born in Bradford cohort. BMC Public Health. 2015;15:1109.

6. Johansson E, Hagströmer M, Svensson V, et al. Objectively measured physical activity in two-year-old children-levels, patterns and correlates. Int J Behav Nutr Phys Act. 2015;12–3.

· 15 seconds

1. Costa S, Barber SE, Cameron N, et al. Calibration and validation of the ActiGraph GT3X+ in 2-3 year olds. J Sci Med Sport. 2013;17:617–22. doi:10.1016/j.jsams.2013.11.005

2. Janssen X, Cliff DP, Reilly JJ, et al. Predictive validity and classification accuracy of ActiGraph energy expenditure equations and cut-points in young children. PLoS One. 2013;8(11): e79124.

3. Kahan D, Nicaise V, Reuben K. Convergent validity of four accelerometer cutpoints with direct observation of preschool children’s outdoor physical activity. Res Q Exerc Sport. 2013;84:59–67. doi:10.1080/02701367.2013.762294

6. De Craemer M, De Decker E, De Bourdeaudhuij I, et al. The translation of preschoolers’ physical activity guidelines into a daily step count target. J Sports Sci. 2014;33:1051–7.

7. De Craemer M, De Decker E, Verloigne M, et al. The effect of a kindergarten-based, family-involved intervention on objectively measured physical activity in Belgian preschool boys and girls of high and low SES: the ToyBox-study. Int J Behav Nutr Phys Act. 2014;11:38.

8. España-Romero V, Mitchell JA, Dowda M, et al. Objectively measured sedentary time, physical activity and markers of body fat in preschool children. Pediatr Exerc Sci. 2013;25:154–63.

9. Olesen LG, Kristensen PL, Korsholm L, et al. Correlates of objectively measured physical activity in 5-6 year old preschool children. J Sports Med Phys Fitness. 2015;in press.

10. Olesen LG, Kristensen PL, Korsholm L, et al. Physical activity in children attending preschools. Pediatrics. 2013;132:e1310–8.

11. Pulakka A, Ashorn U, Cheung YB, et al. Effect of 12-month intervention with lipid-based nutrient supplements on physical activity of 18-month-old Malawian children: a randomised, controlled trial. Eur J Clin Nutr. 2014;69:173–8.