Agreement between activPAL and ActiGraph for assessing children's sedentary time

<p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p< Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Ridgers Nicola D [verfasserIn] Salmon Jo [verfasserIn] Ridley Kate [verfasserIn] O'Connell Eoin [verfasserIn] Arundell Lauren [verfasserIn] Timperio Anna [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Schlagwörter:	Accelerometry Children Objective assessment Sedentary time Sedentary behavior

Übergeordnetes Werk:	In: International Journal of Behavioral Nutrition and Physical Activity - BMC, 2004, 9(2012), 1, p 15
Übergeordnetes Werk:	volume:9 ; year:2012 ; number:1, p 15

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/1479-5868-9-15

Katalog-ID:	DOAJ037609009

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520			\|a <p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p<
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allfields	10.1186/1479-5868-9-15 doi (DE-627)DOAJ037609009 (DE-599)DOAJb01b83b735fd4c39926ab9aef5a41eeb DE-627 ger DE-627 rakwb eng RC620-627 RA1-1270 Ridgers Nicola D verfasserin aut Agreement between activPAL and ActiGraph for assessing children's sedentary time 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p< Accelerometry Children Objective assessment Sedentary time Sedentary behavior Nutritional diseases. Deficiency diseases Public aspects of medicine Salmon Jo verfasserin aut Ridley Kate verfasserin aut O'Connell Eoin verfasserin aut Arundell Lauren verfasserin aut Timperio Anna verfasserin aut In International Journal of Behavioral Nutrition and Physical Activity BMC, 2004 9(2012), 1, p 15 (DE-627)378572342 (DE-600)2134691-4 14795868 nnns volume:9 year:2012 number:1, p 15 https://doi.org/10.1186/1479-5868-9-15 kostenfrei https://doaj.org/article/b01b83b735fd4c39926ab9aef5a41eeb kostenfrei http://www.ijbnpa.org/content/9/1/15 kostenfrei https://doaj.org/toc/1479-5868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 9 2012 1, p 15
spelling	10.1186/1479-5868-9-15 doi (DE-627)DOAJ037609009 (DE-599)DOAJb01b83b735fd4c39926ab9aef5a41eeb DE-627 ger DE-627 rakwb eng RC620-627 RA1-1270 Ridgers Nicola D verfasserin aut Agreement between activPAL and ActiGraph for assessing children's sedentary time 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p< Accelerometry Children Objective assessment Sedentary time Sedentary behavior Nutritional diseases. Deficiency diseases Public aspects of medicine Salmon Jo verfasserin aut Ridley Kate verfasserin aut O'Connell Eoin verfasserin aut Arundell Lauren verfasserin aut Timperio Anna verfasserin aut In International Journal of Behavioral Nutrition and Physical Activity BMC, 2004 9(2012), 1, p 15 (DE-627)378572342 (DE-600)2134691-4 14795868 nnns volume:9 year:2012 number:1, p 15 https://doi.org/10.1186/1479-5868-9-15 kostenfrei https://doaj.org/article/b01b83b735fd4c39926ab9aef5a41eeb kostenfrei http://www.ijbnpa.org/content/9/1/15 kostenfrei https://doaj.org/toc/1479-5868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 9 2012 1, p 15
allfields_unstemmed	10.1186/1479-5868-9-15 doi (DE-627)DOAJ037609009 (DE-599)DOAJb01b83b735fd4c39926ab9aef5a41eeb DE-627 ger DE-627 rakwb eng RC620-627 RA1-1270 Ridgers Nicola D verfasserin aut Agreement between activPAL and ActiGraph for assessing children's sedentary time 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p< Accelerometry Children Objective assessment Sedentary time Sedentary behavior Nutritional diseases. Deficiency diseases Public aspects of medicine Salmon Jo verfasserin aut Ridley Kate verfasserin aut O'Connell Eoin verfasserin aut Arundell Lauren verfasserin aut Timperio Anna verfasserin aut In International Journal of Behavioral Nutrition and Physical Activity BMC, 2004 9(2012), 1, p 15 (DE-627)378572342 (DE-600)2134691-4 14795868 nnns volume:9 year:2012 number:1, p 15 https://doi.org/10.1186/1479-5868-9-15 kostenfrei https://doaj.org/article/b01b83b735fd4c39926ab9aef5a41eeb kostenfrei http://www.ijbnpa.org/content/9/1/15 kostenfrei https://doaj.org/toc/1479-5868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 9 2012 1, p 15
allfieldsGer	10.1186/1479-5868-9-15 doi (DE-627)DOAJ037609009 (DE-599)DOAJb01b83b735fd4c39926ab9aef5a41eeb DE-627 ger DE-627 rakwb eng RC620-627 RA1-1270 Ridgers Nicola D verfasserin aut Agreement between activPAL and ActiGraph for assessing children's sedentary time 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p< Accelerometry Children Objective assessment Sedentary time Sedentary behavior Nutritional diseases. Deficiency diseases Public aspects of medicine Salmon Jo verfasserin aut Ridley Kate verfasserin aut O'Connell Eoin verfasserin aut Arundell Lauren verfasserin aut Timperio Anna verfasserin aut In International Journal of Behavioral Nutrition and Physical Activity BMC, 2004 9(2012), 1, p 15 (DE-627)378572342 (DE-600)2134691-4 14795868 nnns volume:9 year:2012 number:1, p 15 https://doi.org/10.1186/1479-5868-9-15 kostenfrei https://doaj.org/article/b01b83b735fd4c39926ab9aef5a41eeb kostenfrei http://www.ijbnpa.org/content/9/1/15 kostenfrei https://doaj.org/toc/1479-5868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 9 2012 1, p 15
allfieldsSound	10.1186/1479-5868-9-15 doi (DE-627)DOAJ037609009 (DE-599)DOAJb01b83b735fd4c39926ab9aef5a41eeb DE-627 ger DE-627 rakwb eng RC620-627 RA1-1270 Ridgers Nicola D verfasserin aut Agreement between activPAL and ActiGraph for assessing children's sedentary time 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p< Accelerometry Children Objective assessment Sedentary time Sedentary behavior Nutritional diseases. Deficiency diseases Public aspects of medicine Salmon Jo verfasserin aut Ridley Kate verfasserin aut O'Connell Eoin verfasserin aut Arundell Lauren verfasserin aut Timperio Anna verfasserin aut In International Journal of Behavioral Nutrition and Physical Activity BMC, 2004 9(2012), 1, p 15 (DE-627)378572342 (DE-600)2134691-4 14795868 nnns volume:9 year:2012 number:1, p 15 https://doi.org/10.1186/1479-5868-9-15 kostenfrei https://doaj.org/article/b01b83b735fd4c39926ab9aef5a41eeb kostenfrei http://www.ijbnpa.org/content/9/1/15 kostenfrei https://doaj.org/toc/1479-5868 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4598 GBV_ILN_4700 AR 9 2012 1, p 15
language	English
source	In International Journal of Behavioral Nutrition and Physical Activity 9(2012), 1, p 15 volume:9 year:2012 number:1, p 15
sourceStr	In International Journal of Behavioral Nutrition and Physical Activity 9(2012), 1, p 15 volume:9 year:2012 number:1, p 15
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Accelerometry Children Objective assessment Sedentary time Sedentary behavior Nutritional diseases. Deficiency diseases Public aspects of medicine
isfreeaccess_bool	true
container_title	International Journal of Behavioral Nutrition and Physical Activity
authorswithroles_txt_mv	Ridgers Nicola D @@aut@@ Salmon Jo @@aut@@ Ridley Kate @@aut@@ O'Connell Eoin @@aut@@ Arundell Lauren @@aut@@ Timperio Anna @@aut@@
publishDateDaySort_date	2012-01-01T00:00:00Z
hierarchy_top_id	378572342
id	DOAJ037609009
language_de	englisch
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However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. 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callnumber-first	R - Medicine
author	Ridgers Nicola D
spellingShingle	Ridgers Nicola D misc RC620-627 misc RA1-1270 misc Accelerometry misc Children misc Objective assessment misc Sedentary time misc Sedentary behavior misc Nutritional diseases. Deficiency diseases misc Public aspects of medicine Agreement between activPAL and ActiGraph for assessing children's sedentary time
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topic_title	RC620-627 RA1-1270 Agreement between activPAL and ActiGraph for assessing children's sedentary time Accelerometry Children Objective assessment Sedentary time Sedentary behavior
topic	misc RC620-627 misc RA1-1270 misc Accelerometry misc Children misc Objective assessment misc Sedentary time misc Sedentary behavior misc Nutritional diseases. Deficiency diseases misc Public aspects of medicine
topic_unstemmed	misc RC620-627 misc RA1-1270 misc Accelerometry misc Children misc Objective assessment misc Sedentary time misc Sedentary behavior misc Nutritional diseases. Deficiency diseases misc Public aspects of medicine
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title	Agreement between activPAL and ActiGraph for assessing children's sedentary time
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title_full	Agreement between activPAL and ActiGraph for assessing children's sedentary time
author_sort	Ridgers Nicola D
journal	International Journal of Behavioral Nutrition and Physical Activity
journalStr	International Journal of Behavioral Nutrition and Physical Activity
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author_browse	Ridgers Nicola D Salmon Jo Ridley Kate O'Connell Eoin Arundell Lauren Timperio Anna
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author2-role	verfasserin
title_sort	agreement between activpal and actigraph for assessing children's sedentary time
callnumber	RC620-627
title_auth	Agreement between activPAL and ActiGraph for assessing children's sedentary time
abstract	<p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p<
abstractGer	<p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p<
abstract_unstemmed	<p<Abstract</p< <p<Background</p< <p<Accelerometers have been used to determine the amount of time that children spend sedentary. However, as time spent sitting may be detrimental to health, research is needed to examine whether accelerometer sedentary cut-points reflect the amount of time children spend sitting. The aim of this study was to: a) examine agreement between ActiGraph (AG) cut-points for sedentary time and objectively-assessed periods of free-living sitting and sitting plus standing time using the activPAL (aP); and b) identify cut-points to determine time spent sitting and sitting plus standing.</p< <p<Methods</p< <p<Forty-eight children (54% boys) aged 8-12 years wore a waist-mounted AG and thigh-mounted aP for two consecutive school days (9-3:30 pm). AG data were analyzed using 17 cut-points between 50-850 counts·min<sup<-1 </sup<in 50 counts·min<sup<-1 </sup<increments to determine sedentary time during class-time, break time and school hours. Sitting and sitting plus standing time were obtained from the aP for these periods. Limits of agreement were computed to evaluate bias between AG50 to AG850 sedentary time and sitting and sitting plus standing time. Receiver Operator Characteristic (ROC) analyses identified AG cut-points that maximized sensitivity and specificity for sitting and sitting plus standing time.</p< <p<Results</p< <p<The smallest mean bias between aP sitting time and AG sedentary time was AG150 for class time (3.8 minutes), AG50 for break time (-0.8 minutes), and AG100 for school hours (-5.2 minutes). For sitting plus standing time, the smallest bias was observed for AG850. ROC analyses revealed an optimal cut-point of 96 counts·min<sup<-1 </sup<(AUC = 0.75) for sitting time, which had acceptable sensitivity (71.7%) and specificity (67.8%). No optimal cut-point was obtained for sitting plus standing (AUC = 0.51).</p< <p<Conclusions</p< <p<Estimates of free-living sitting time in children during school hours can be obtained using an AG cut-point of 100 counts·min<sup<-1</sup<. Higher sedentary cut-points may capture both sitting and standing time.</p<
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score	7.4014044

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Agreement between activPAL and ActiGraph for assessing children's sedentary time

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