Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31024
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dc.contributor.authorGoodman, Williamen_UK
dc.contributor.authorJackson, Sarah Een_UK
dc.contributor.authorMcFerran, Ethnaen_UK
dc.contributor.authorPurves, Richarden_UK
dc.contributor.authorRedpath, Ianen_UK
dc.contributor.authorBeeken, Rebecca Jen_UK
dc.date.accessioned2020-04-22T00:03:26Z-
dc.date.available2020-04-22T00:03:26Z-
dc.date.issued2020-06-01en_UK
dc.identifier.urihttp://hdl.handle.net/1893/31024-
dc.description.abstractImportance Childhood obesity is one of the biggest public health threats facing the UK, and video game use is considered a risk behavior for obesity among children. However, few studies have explored the prospective association between video game use and body mass index (BMI) or the potential mediators of this association. Objectives To investigate whether a longer-term association exists between video game use at a young age and BMI SD score in later years, independent of television use, and to ascertain whether this association is mediated by other energy-balance behaviors. Design, Setting, and Participants This cohort study is a secondary analysis of data from the Millennium Cohort Study, a nationally representative sample of children who were born in the UK between September 1, 2000, and January 31, 2002, that focused on data collected when the children were aged 5, 7, 11, and 14 years. Data for all variables, except BMI, were provided by parental or caregiver reporting if the children were younger than 14 years of age. At age 14 years, the children self-reported their own behavior. Initial data analysis was conducted between September 18, 2018, and September 28, 2018, with supplementary analyses conducted from October 7, 2019, to November 22, 2019. Main Outcomes and Measures The main outcome variable was BMI SD scores, with video game use as the exposure variable of interest. Physical activity, bedtime regularity, sugar-sweetened beverage consumption, and high-calorie food consumption were included as potential mediating behaviors. Results The full sample comprised 16 376 children and had a nearly equal number of boys (8393 [51.3%]) and girls (7983 [48.7%]). Every 1 SD increase in the number of hours of video game use at age 5 years was associated with a β = 0.018 higher BMI SD score at age 14 years (95% CI, 0.004-0.032). A small partial mediation of this association was found (direct association: β = 0.017 [95% CI, 0.003-0.031]; indirect association: β = 0.0011 [95% CI, 0.0003-0.0019]), suggesting that irregular bedtimes and higher consumption of sugar-sweetened beverages were mediators. The mediation model accounted for 36.7% (95% CI, 35.5-37.8) of the variance of the BMI SD score at age 14 years. Conclusions and Relevance Results of this study suggest a small (and not clinically meaningful) association between video game use in early childhood and higher BMI in later years, which may be mediated by irregular bedtimes and higher consumption of sugar-sweetened beverages. Future interventions to prevent childhood obesity should incorporate health promotion in mainstream video games to target children most at risk because of their high level of video game use.en_UK
dc.language.isoenen_UK
dc.publisherAmerican Medical Association (AMA)en_UK
dc.relationGoodman W, Jackson SE, McFerran E, Purves R, Redpath I & Beeken RJ (2020) Association of Video Game Use With Body Mass Index and Other Energy-Balance Behaviors in Children. JAMA Pediatrics, 174 (6), pp. 563-572. https://doi.org/10.1001/jamapediatrics.2020.0202en_UK
dc.rightsThis is an open access article distributed under the terms of the CC-BY License (https://creativecommons.org/licenses/by/4.0/). © 2020 Goodman W et al. JAMA Pediatrics.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.titleAssociation of Video Game Use With Body Mass Index and Other Energy-Balance Behaviors in Childrenen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1001/jamapediatrics.2020.0202en_UK
dc.identifier.pmid32250384en_UK
dc.citation.jtitleJAMA Pediatricsen_UK
dc.citation.issn2168-6211en_UK
dc.citation.issn2168-6203en_UK
dc.citation.volume174en_UK
dc.citation.issue6en_UK
dc.citation.spage563en_UK
dc.citation.epage572en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderBUPA UK Foundationen_UK
dc.citation.date06/04/2020en_UK
dc.contributor.affiliationUniversity College Londonen_UK
dc.contributor.affiliationUniversity College Londonen_UK
dc.contributor.affiliationQueen's University Belfasten_UK
dc.contributor.affiliationInstitute for Social Marketingen_UK
dc.contributor.affiliationBehaviouralist Ltden_UK
dc.contributor.affiliationUniversity College Londonen_UK
dc.identifier.isiWOS:000540430300010en_UK
dc.identifier.scopusid2-s2.0-85083228653en_UK
dc.identifier.wtid1603723en_UK
dc.contributor.orcid0000-0002-6527-0218en_UK
dc.date.accepted2019-12-31en_UK
dcterms.dateAccepted2019-12-31en_UK
dc.date.filedepositdate2020-04-21en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorGoodman, William|en_UK
local.rioxx.authorJackson, Sarah E|en_UK
local.rioxx.authorMcFerran, Ethna|en_UK
local.rioxx.authorPurves, Richard|0000-0002-6527-0218en_UK
local.rioxx.authorRedpath, Ian|en_UK
local.rioxx.authorBeeken, Rebecca J|en_UK
local.rioxx.projectProject ID unknown|BUPA UK Foundation|en_UK
local.rioxx.freetoreaddate2020-04-21en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2020-04-21|en_UK
local.rioxx.filenamejamapediatrics_goodman_2020_oi_200007.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2168-6211en_UK
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