How to Define Overweight and Obesity in Childrenklakk.pdf · Anthropometri Anthropometri Beighton Intervention for 3 school years Fasting bloodsamples DXA scans Tanner Self ass Anthropometry

Centre of Research in Childhood Health

Syddansk Universitet 1

Heidi Klakk,PT ,PhD Student, Centre of Research in Childhood Health, Southern University of Denmark.

How to Define Overweight and Obesity in Children ?

Data from The Childhood Health, Activity and Motor performance School Study

CHAMPS

A 3 year prospective cohorte study

baseline

Motor skills VO2max Anthropometri Beighton

Intervention for 3 school years

Fasting bloodsamples DXA scans Tanner Self ass Anthropometry

SMS track: registration of injuries and participation i leisure time sports

Sept. 2008

March 2009

Sept 2009

March 2010

Sept. 2010

March 2011

Questionaire on : Health, lifestyle, SES

Anthropometri Beighton

Motor skills VO2max Anthropometri Beighton

2 Syddansk Universitet

Motor skills VO2max Anthropometri Beighton

Motor skills VO2max Anthropometri Beighton Tanner self assesment Blood pressure

Motor skills VO2max Anthropometri Beighton

Fasting bloodsamples DXA scans Tanner Self ass Anthropometry

Accelerometry 1 week 1 winther and 1 summer

Planned publications…. 1.  Prevalence of OW/OB with different measures 2.  Deriving cut points for ”over fatness” from biological

endpoints 3.  The effect of more PE on known risk factors for

metabolic imbalance 1.  Fatness 2.  Fitness 3.  Blood parameters

4. Who benefits the most…..

Centre of Research in Childhood Health

Type of school Sport schools Normal schools

time baseline Follow up Δ baseline Follow up Δ

OW/OB children –BMI# •  Boys •  Girls •  all

7%(n=10) 9% (n=13) 8%(n=23)

7%(n=9) 7%(n=11) 7% (n=20)

0% -2% -1%

9% (n=11) 9% (n=9) 9% (n=20)

14% (n=17) 12% (n=12) 13% (n=29)

+5% +3% +4%

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Preliminary results on overweight and obesity in the CHAMPS study

OW/OB children- TBF%* •  Boys •  Girls •  all

15% (n=20) 13% (n=19) 14% (n=39)

20%(n=27) 16%(n=24) 18%(n=51)

+5% +3% +4%

18%(n=22) 23%(n=22) 20%(n=44)

30%(n=36) 28%(n=27) 29%(n=63)

+12% +5% +9%

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*OR adjusted for overweight at baseline, grade, gender and puberty

0,24 0,57

Freedman et al 2009

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Age, y

boys

girls TBF

%

Steinberger et al 2005

•  Correlation! •  Agreement? •  Sensitivity and

specificity!

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Lindsay et al 2001

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Males Females

Lindsay et al 2001

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Females Males

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Lindsay et al 2001

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Neovius et al 2008

Neovius et al 2008

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Correlation to CVD risk factors

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Steinberger et al 2005

Lindsay RS et al 2001

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Questions and challenges

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• Despite good correlation BMI does not capture the fatness in children?

Do we need any more studies in different

measures of fatness in children?

• Stabilized BMI prevalence might ”hide” growing fatness end lowering lean mass in children?

How to design the analyzis of cut offs derived from biological

endpoints?

3D reklame A/S Svendborg

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