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External validation of a prediction model for estimating fat mass in children and adolescents in 19 countries: individual participant data meta-analysis.

Mohammed T HuddaJonathan C K WellsLinda S AdairJose R A Alvero-CruzMaxine N Ashby-ThompsonMartha N Ballesteros-VásquezJesus Barrera-ExpositoBenjamin CaballeroElvis A CarneroGeoff J CleghornPeter S W DaviesMalgorzata DesmondDelan DevakumarDympna GallagherElvia V Guerrero-AlcocerFerdinand HaschkeMary HorlickHouda Ben JemaaAshraful I KhanAmani MankaiMakama A MonyekiHilde L NashandiLuis Ortiz-HernandezGuy PlasquiFelipe F ReichertAlma E Robles-SardinElaine RushRoman J ShypailoJakub G SobieckiGill A Ten HoorJesús ValdésV Pujitha WickramasingheWilliam W WongRichard D RileyChristopher G OwenPeter H WhincupClaire M Nightingale
Published in: BMJ (Clinical research ed.) (2022)
The UK based prediction model, which is based on readily available measures, provides predictions of childhood fat-free mass, and hence fat mass, in a range of non-UK settings that explain a large proportion of the variability in observed fat-free mass, and exhibit good calibration performance, especially after recalibration of the intercept for each population. The model demonstrates good generalisability in both low-middle income and high income populations of healthy children and adolescents aged 4-15 years.
Keyphrases
  • adipose tissue
  • systematic review
  • fatty acid
  • physical activity
  • mental health
  • cross sectional
  • electronic health record
  • meta analyses
  • young adults
  • big data
  • early life