Vis enkel innførsel

dc.contributor.authorGebremariam, Mekdes Kebede
dc.contributor.authorNianogo, Roch A.
dc.contributor.authorLien, Nanna
dc.contributor.authorBjelland, Mona
dc.contributor.authorBergh, Ingunn Holden
dc.contributor.authorOmmundsen, Yngvar
dc.contributor.authorArah, Onyebuchi A.
dc.contributor.authorKlepp, Knut-Inge
dc.date.accessioned2021-11-04T14:53:08Z
dc.date.available2021-11-04T14:53:08Z
dc.date.created2021-06-16T08:43:18Z
dc.date.issued2021
dc.identifier.citationScientific Reports. 2021, 11(2021), Artikkel 11216.en_US
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/11250/2827968
dc.descriptionThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en_US
dc.description.abstractIn order to develop effective public health initiatives aimed at promoting healthy weight development, identifying the interventions/combination of interventions with the highest beneficial effect on body weight is vital. The study aimed to estimate the mean BMI at age 13 under hypothetical interventions targeting dietary behavior, physical activity and screen time at age 11. We used data from a school-based cohort study of 530 participants followed between the ages of 11 and 13. We used g-computation, a causal modeling method, to estimate the impact of single and combined hypothetical behavioral interventions at age 11 on BMI at age 13. Of the hypothetical interventions, the one with the largest population mean difference in BMI was the one combining all interventions (dietary behavior, physical activity and screen time interventions) and assuming 100% intervention adherence, with a population mean differences of − 0.28 (95% CI − 0.59, 0.07). Isolated behavioral interventions had a limited impact on BMI. This study demonstrated that a combination of healthy dietary behavior and physical activity promotion, as well as screen time reduction interventions at age 11 could have the highest beneficial effect on the reduction of BMI at age 13, although the change in BMI was small. The findings highlight the importance of a systems approach to obesity prevention focusing on multicomponent interventions.en_US
dc.language.isoengen_US
dc.subjectmedical researchen_US
dc.subjectrisk factorsen_US
dc.titleThe impact of hypothetical interventions on adiposity in adolescenceen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2021en_US
dc.source.pagenumber8en_US
dc.source.volume11en_US
dc.source.journalScientific Reportsen_US
dc.identifier.doi10.1038/s41598-021-90415-z
dc.identifier.cristin1916018
dc.relation.projectNorges forskningsråd: 273823en_US
dc.description.localcodeInstitutt for idrett og samfunnsvitenskap / Department of Sport and Social Sciencesen_US
dc.source.articlenumber11216en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel