بناء منحنيات نمو معيارية لأطفال العراق دون سن الخامسة

Abstract EN

The growth curves of the children are the most commonly used tools to assess the general welfare of society.

Particularity child being one of the pillars to develop society; through these tools we can path a child's growth physiology.

Centile line is of the important tools to build these curves, which give an accurate interpretation of the information society, also responds with illustration variable age.

To build standard growth curves for BMI, we use BMI as index.

LMSP method used for finding Centile line which depends on four curves represent Median, Coefficient of Variation, Skews and Kurtosis.

These can be obtained by modeling four parameters as nonparametric Smoothing functions for illustration variable.

Maximizing penalized likelihood in Fisher scoring algorithm includes RS& GS algorithms.

The resulting centiles expressed multi-level of body mass index ranging from lack nutrition to obsess, also LMSP gives good results and BMI with positive skew increases with age.

Data on the variable applied to Iraqi children under five years of the multiple indicator cluster survey in 2011 and under the supervision of world health organization (WHO).