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Prediction of obesity from infancy to adolescence

Angbratt, Marianne (författare)
Linköpings universitet,Avdelningen för samhällsmedicin,Hälsouniversitetet
Ekberg, Joakim (författare)
Linköpings universitet,Socialmedicin och folkhälsovetenskap,Hälsouniversitetet
Walter, Lars (författare)
Östergötlands Läns Landsting,Folkhälsocentrum
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Timpka, Toomas (författare)
Östergötlands Läns Landsting,Linköpings universitet,Socialmedicin och folkhälsovetenskap,Hälsouniversitetet,Folkhälsovetenskapligt centrum
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 (creator_code:org_t)
2011-05-18
2011
Engelska.
Ingår i: Acta Paediatrica. - : Wiley-Blackwell. - 0803-5253 .- 1651-2227. ; 100:9, s. 1249-1252
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Aim: To examine the development of childhood obesity and to determine the earliest age when estimating body mass using only weight and height data is associated with a corresponding estimate at the age of 15. less thanbrgreater than less thanbrgreater thanMethods: Subjects included are all children born in 1991 in Ostergotland County, Sweden. Weight and height data collected during regular check-ups at well-child centres and school health care assessments up to 15 years of age were assembled from health records. Correlations between childhood estimates of body mass and the body mass index (BMI) at 15 years of age were computed pairwise. Correlations with r andgt; 0.5 were defined as reliably strong. less thanbrgreater than less thanbrgreater thanResults: Complete data were available for 3579 children (62%). Fewer girls (2.6%; C.I. 1.9-3.3) than boys (4.6%; C.I. 3.7-5.5) were obese at 15 years of age. Correlations with BMI at 15 years of age were strong (significantly higher than 0.5) from 5 years of age. Only 23% of girls and 8% of boys found to be obese at 5 years of age were of normal weight at the age of 15. less thanbrgreater than less thanbrgreater thanConclusion: From 5 years of age, point estimates of body mass using only weight and height data are strongly associated with BMI at the age of 15. More data sources are needed to predict weight trajectories in younger children.

Nyckelord

Childhood obesity
Obesity prevalence
Predictive correlations
MEDICINE
MEDICIN

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