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.
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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3 citing papers in PubMed.
- Association between childhood weight status and timing of puberty: a systematic review and meta-analysis.Translational pediatrics · 2026Article
- BMI-for-age Z-score trajectories in early childhood: a comparison of GMM and KML and associated antenatal and postnatal factors.World journal of pediatrics : WJP · 2026Article
- Late Preschool BMI Acceleration as the Strongest Predictor of Childhood Cardiometabolic Risk at School Entry: A Dual-Trajectory Cohort Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
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9 authors.
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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.
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