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dc.contributor.authorJuliusson, Petur B.
dc.contributor.authorBruserud, Ingvild S.
dc.contributor.authorOehme, Ninnie Helen Bakken
dc.contributor.authorMadsen, Andre
dc.contributor.authorForthun, Ingvild Halsør
dc.contributor.authorBalthasar, Melissa Rajini
dc.contributor.authorViste, kristin
dc.contributor.authorJugessur, Astanand
dc.contributor.authorSchell, Lawrence M.
dc.contributor.authorBjerknes, Robert
dc.contributor.authorRoelants, Mathieu
dc.contributor.authorKaren, Rosendahl
dc.date.accessioned2023-07-13T09:21:35Z
dc.date.available2023-07-13T09:21:35Z
dc.date.created2023-07-11T10:20:10Z
dc.date.issued2023
dc.identifier.issn0301-4460
dc.identifier.urihttps://hdl.handle.net/11250/3078549
dc.description.abstractBackground The Bergen Growth Study 2 (BGS2) aims to characterise somatic and endocrine changes in healthy Norwegian children using a novel methodology. Subjects and methods A cross-sectional sample of 1285 children aged 6–16 years was examined in 2016 using novel objective ultrasound assessments of breast developmental stages and testicular volume in addition to the traditional Tanner pubertal stages. Blood samples allowed for measurements of pubertal hormones, endocrine disruptive chemicals, and genetic analyses. Results Ultrasound staging of breast development in girls showed a high degree of agreement within and between observers, and ultrasound measurement of testicular volume in boys also showed small intra- and interobserver differences. The median age was 10.4 years for Tanner B2 (pubertal onset) and 12.7 years for menarche. Norwegian boys reached a pubertal testicular volume at a mean age of 11.7 years. Continuous reference curves for testicular volume and sex hormones were constructed using the LMS method. Conclusions Ultrasound-based assessments of puberty provided novel references for breast developmental stages and enabled the measurement of testicular volume on a continuous scale. Endocrine z-scores allowed for an intuitive interpretation of changing hormonal levels during puberty on a quantitative scale, which, in turn, provides opportunities for further analysis of pubertal development using machine-learning approaches.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDeep phenotyping of pubertal development in Norwegian children: the Bergen Growth Study 2en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 The Author(s).en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1080/03014460.2023.2174272
dc.identifier.cristin2161903
dc.source.journalAnnals of Human Biologyen_US
dc.source.pagenumber226-235en_US
dc.identifier.citationAnnals of Human Biology. 2023, 50 (1), 226-235.en_US
dc.source.volume50en_US
dc.source.issue1en_US


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