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Short title: Birth to 36 months: Boys, Length-for-age and Weight-for-age percentiles: Image title: CDC Growth Charts: United States: Author: NCHS: Keywords
The growth chart was first developed by the National Center for Health Statistics (NCHS) in 1977 to clinically analyze child development. The 1977 growth chart was subsequently used by the World Health Organization for dissemination to healthcare systems abroad. In order to accommodate for heterogenous populations internationally, the WHO made ...
By doing this, doctors can track a child's growth over time and monitor how a child is growing in relation to other children. There are different charts for boys and girls because their growth rates and patterns differ. For both boys and girls there are two sets of charts: one for infants ages 0 to 36 months and another for ages 2 and above.
Short title: Birth to 36 months: Boys, Head circumberence-for-age and Weight-for-length percentiles: Image title: CDC Growth Charts: United States: Author
The 2000 CDC growth charts - a revised version of the 1977 NCHS growth charts - are the current standard tool for health care providers and offer 16 charts (8 for boys and 8 for girls), of which BMI-for-age is commonly used for aiding in the diagnoses of childhood obesity. [1]
Due to natural variation, individuals pass through the Tanner stages at different rates, depending in particular on the timing of puberty.Among researchers who study puberty, the Tanner scale is commonly considered the "gold standard" for assessing pubertal status when it is conducted by a trained medical examiner. [5]
The CDC growth reference charts define the normal range of growth as between the 5th and 95th percentiles. [ 4 ] While it is common for babies to shift percentiles during the first 2 years of life due to shifting from an intrauterine environment to one outside the uterus, shifting percentiles after 2 years of age may be the first sign of an ...
In statistics, a k-th percentile, also known as percentile score or centile, is a score below which a given percentage k of scores in its frequency distribution falls ("exclusive" definition) or a score at or below which a given percentage falls ("inclusive" definition); i.e. a score in the k-th percentile would be above approximately k% of all scores in its set.