{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gunnell KE"],"funding":["Sport Participation Research Initiative","Health Research Foundation"],"pagination":["37-41"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5766751"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9"],"pubmed_abstract":["We examined if screen time can be assessed over time when the measurement protocol has changed to reflect advances in technology. Beginning in 2011, 929 youth (9-12 years at time one) living in in New Brunswick (Canada) self-reported the amount of time spent watching television (cycles 1-13), using computers (cycles 1-13), and playing video games (cycles 3-13). Using longitudinal invariance to test a shifting indicators model of screen time, we found that the relationships between the latent variable reflecting overall screen time and the indicators used to assess screen time were invariant across cycles (weak invariance). We also found that 31 out of 37 indicator intercepts were invariant, meaning that most indicators were answered similarly (i.e., on the same metric) across cycles (parti"],"journal":["Preventive medicine reports"],"pubmed_title":["Out with the old, in with the new: Assessing change in screen time when measurement changes over time."],"pmcid":["PMC5766751"],"funding_grant_id":["20130729","862-2010-0001","862-2014-0002"],"pubmed_authors":["Belanger M","Gunnell KE","Brunet J"],"additional_accession":[]},"is_claimable":false,"name":"Out with the old, in with the new: Assessing change in screen time when measurement changes over time.","description":"We examined if screen time can be assessed over time when the measurement protocol has changed to reflect advances in technology. Beginning in 2011, 929 youth (9-12 years at time one) living in in New Brunswick (Canada) self-reported the amount of time spent watching television (cycles 1-13), using computers (cycles 1-13), and playing video games (cycles 3-13). Using longitudinal invariance to test a shifting indicators model of screen time, we found that the relationships between the latent variable reflecting overall screen time and the indicators used to assess screen time were invariant across cycles (weak invariance). We also found that 31 out of 37 indicator intercepts were invariant, meaning that most indicators were answered similarly (i.e., on the same metric) across cycles (parti","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Mar","modification":"2025-04-21T16:16:07.447Z","creation":"2019-03-26T23:05:34Z"},"accession":"S-EPMC5766751","cross_references":{"pubmed":["29340268"],"doi":["10.1016/j.pmedr.2017.12.008"]}}