Please use this identifier to cite or link to this item: https://hdl.handle.net/10620/18357
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dc.contributor.authorMensah, Fiona K-
dc.contributor.authorAzpitarte, Francisco-
dc.contributor.authorChong, Shiau-
dc.contributor.authorGoldfeld, Sharon-
dc.contributor.authorBadland, Hannah-
dc.contributor.authorRedmond, Gerry-
dc.contributor.authorWilliams, Katrina-
dc.contributor.authorO'Connor, Elodie-
dc.contributor.authorWoolfenden, Sue-
dc.contributor.authorO'Connor, Meredith-
dc.contributor.authorCloney, Dan-
dc.date.accessioned2019-04-13T03:43:24Zen
dc.date.accessioned2019-02-25T22:32:59Zen
dc.date.available2019-02-25T22:32:59Zen
dc.date.issued2018-08-
dc.identifier.urihttps://hdl.handle.net/10620/18357en
dc.identifier.urihttp://hdl.handle.net/10620/4491en
dc.description.abstractBackground: Disadvantage rarely manifests as a single event, but rather is the enduring context in which a child’s development unfolds. We aimed to characterize patterns of stability and change in multiple aspects of disadvantage over the childhood period, in order to inform more precise and nuanced policy development. Methods: Participants were from the Longitudinal Study of Australian Children birth cohort (n¼ 5107). Four lenses of disadvantage (sociodemographic, geographic environment,health conditions and risk factors), and a composite of these representing average exposure across all lenses, were assessed longitudinally from 0 to 9 years of age. Trajectory models identified groups of children with similar patterns of disadvantage over time for each of these lenses and for composite disadvantage. Concurrent validity of these trajectory groups was examined through associations with academic performance at 10–11 years. Results: We found four distinct trajectories of children’s exposure to composite disadvantage, which showed high levels of stability over time. In regard to the individual lenses of disadvantage, three exhibited notable change over time (the sociodemographic lens was the exception). Over a third of children (36.3%) were exposed to the ‘most disadvantaged’ trajectory in at least one lens. Trajectories of disadvantage were associated with academic performance, providing evidence of concurrent validity. Conclusions: Children’s overall level of composite disadvantage was stable over time, whereas geographic environments, health conditions and risk factors changed over time for some children. Measuring disadvantage as uni-dimensional, at a single time point, is likely to understate the true extent and persistence of disadvantage.en
dc.subjectChildrenen
dc.subjectHealthen
dc.titleMore than a snapshot in time: Pathways of disadvantage over childhooden
dc.typeJournal Articlesen
dc.identifier.surveyLSACen
dc.description.keywordsadversityen
dc.description.keywordslongitudinalen
dc.description.keywordsmeasurementen
dc.description.keywordsdisadvantageen
dc.description.keywordschildhooden
dc.description.keywordshealth inequityen
dc.identifier.journalInternational Journal of Epidemiologyen
dc.identifier.volume47en
dc.description.pages1307-1316en
dc.identifier.issue4en
local.identifier.id5079en
dc.description.additionalinfodoi: 10.1093/ije/dyy086en
dc.title.bookInternational Journal of Epidemiologyen
dc.subject.dssHealth and wellbeingen
dc.subject.dssmaincategoryHealthen
dc.subject.dssmaincategoryChildrenen
dc.subject.flosseHealth and wellbeingen
dc.relation.surveyLSACen
dc.old.surveyvalueLSACen
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairetypeJournal Articles-
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