Evidence map›Paper›PMID 39820013›Full record

ArticleInternational journal of obesity (2005)2025

Timing based clustering of childhood BMI trajectories reveals differential maturational patterns; Study in the Northern Finland Birth Cohorts 1966 and 1986.

Anni Heiskala, J Derek Tucker, Priyanka Choudhary, Rozenn Nedelec, Justiina Ronkainen, Olli Sarala, Marjo-Riitta Järvelin, Mikko J Sillanpää, Sylvain Sebert

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Article in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Anni HeiskalaResearch Unit of Population Health, University of Oulu, Oulu, Finland. anni.heiskala@oulu.fi.ORCID 0009-0009-2342-2488
J Derek TuckerStatistical Sciences, Sandia National Laboratories, Albuquerque, NM, USA.
Priyanka ChoudharyResearch Unit of Population Health, University of Oulu, Oulu, Finland.ORCID 0000-0002-2420-4118
Rozenn NedelecResearch Unit of Population Health, University of Oulu, Oulu, Finland.ORCID 0000-0002-2246-3829
Justiina RonkainenResearch Unit of Population Health, University of Oulu, Oulu, Finland.ORCID 0000-0001-7375-8099
Olli SaralaResearch Unit of Mathematical Sciences, University of Oulu, Oulu, Finland.
Marjo-Riitta JärvelinResearch Unit of Population Health, University of Oulu, Oulu, Finland.ORCID 0000-0002-2149-0630
Mikko J Sillanpää *Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland.ORCID 0000-0003-2808-2768
Sylvain Sebert *Research Unit of Population Health, University of Oulu, Oulu, Finland. sylvain.sebert@oulu.fi.ORCID 0000-0001-6681-6983

Funding

US Department of Energy DE-NA0003525
6 · The paper itself

Abstract

BACKGROUND/

objectivesChildren's biological age does not always correspond to their chronological age. In the case of BMI trajectories, this can appear as phase variation, which can be seen as shift, stretch, or shrinking between trajectories. With maturation thought of as a process moving towards the final state - adult BMI, we assessed whether children can be divided into latent groups reflecting similar maturational age of BMI. The groups were characterised by early factors and time-related features of the trajectories. SUBJECTS/

methodsWe used data from two general population birth cohort studies, Northern Finland Birth Cohorts 1966 and 1986 (NFBC1966 and NFBC1986). Height (n = 6329) and weight (n = 6568) measurements were interpolated in 34 shared time points using B-splines, and BMI values were calculated between 3 months to 16 years. Pairwise phase distances of 2999 females and 3163 males were used as a similarity measure in k-medoids clustering.

resultsWe identified three clusters of trajectories in females and males (Type 1: females, n = 1566, males, n = 1669; Type 2: females, n = 1028, males, n = 973; Type 3: females, n = 405, males, n = 521). Similar distinct timing patterns were identified in males and females. The clusters did not differ by sex, or early growth determinants studied.

conclusionsTrajectory cluster Type 1 reflected to the shape of what is typically illustrated as the childhood BMI trajectory in literature. However, the other two have not been identified previously. Type 2 pattern was more common in the NFBC1966 suggesting a generational shift in BMI maturational patterns.

Indexed as

Body Mass IndexChild DevelopmentPediatric ObesityAdolescentBirth CohortBody-Weight TrajectoryChildChild, PreschoolCluster AnalysisCohort StudiesFemaleFinlandHumansInfantMale

Identifiers

PMID39820013
PMCPMC12095082

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