<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Hänggi, Johanna M.</dc:creator>
  <dc:creator>Spinnler, Simon</dc:creator>
  <dc:creator>Christodoulides, Efstathios</dc:creator>
  <dc:creator>Gramespacher, Elke</dc:creator>
  <dc:creator>Taube, Wolfgang</dc:creator>
  <dc:creator>Doherty, Aiden</dc:creator>
  <dc:date>2020-12-01</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Introduction: There is increasing evidence that not all types of sedentary behavior  have the same harmful effects on children's health. Hence, there has been a growing  interest in the use of wearable cameras. The aim of this study is to develop a protocol  to categorize children's wearable camera data into sedentary behavior  components.Methods: Wearable camera data were collected in 3 different samples of  children in 2014. A development sample (3 children aged 4–8 years) was used to  design the annotation protocol. A training sample (4 children aged 10 years) was used  to train 3 different coders. The independent reliability sample (14 children aged 9–11  years) was used for independent coding of wearable camera images and to estimate  inter-rater agreement. Data were analyzed in 2018. Cohen's κ was calculated for  every rater pair on a per-participant basis. Means and SDs were then calculated  across per-participant κ scores.Results: A total of 41,651 images from 14 participants  were considered for analysis. Inter-rater agreement over all raters over all the  sedentary behavior components was almost perfect (mean κ=0.85, 95% CI=0.83,  0.87). Inter-rater reliability for screen-based sedentary behavior (mean κ=0.72, 95%  CI=0.62, 0.82) and nonscreen sedentary behavior (κ=0.69, 95% CI=0.65, 0.72)  showed substantial agreement. Inter-rater reliability for location (κ=0.91, 95% CI=0.88,  0.93) showed almost perfect agreement.Conclusions: A reliable annotation protocol to  categorize wearable camera data of children into sedentary behavior components was  developed. Once applied to larger samples in children, this protocol can ultimately  help to better understand the potential harms of screen time and sedentary behavior  in children.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/309084</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/309084/files/tau_sbc.pdf</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/309084/files/tau_sbc_sm1.pdf</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/309084/files/tau_sbc_sm2.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.amepre.2020.06.033</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>American Journal of Preventive Medicine. - 2020, vol. 59, no. 6, p. 880–886</dc:source>
  <dc:subject>info:eu-repo/classification/udc/61</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Sedentary behavior in children by wearable cameras: development of an annotation protocol</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
