Determination of relative timing of pubertal maturation through ordinal logistic modeling: evaluation of growth and timing parameters.
OBJECTIVE
(1) To propose a new method using statistical modeling to determine relative timing of pubertal maturation; (2) to validate the new method by evaluating its relationship with pubertal growth and timing parameters, including age at menarche, age onset of areolar maturation, age of peak height velocity, age at attainment of adult height, adult height, peak height velocity, body mass index, and percent body fat; and (3) to contrast the new method with relative timing of menarche on these pubertal parameters.


BACKGROUND
The timing of puberty has a well-known impact on anthropometric and psychosocial outcomes. Multiple methods have been used to determine pubertal timing, but all with limitations. A uniformly applicable method is needed for different study designs and study populations.


METHODS
Using the National Heart Lung and Blood Institute Growth and Health Study data, an ordinal logistic modeling was used to assess relative timing of pubertal maturation.


RESULTS
The proposed method demonstrated good reliability and strong associations with all pubertal timing parameters, also body mass index and percent body fat. Timing was not significantly associated with adult height and peak height velocity.


CONCLUSIONS
The proposed method is highly feasible, easy to implement, and valid. The study demonstrated important differences between the relationships of relative timing of secondary sexual characteristics and the timing of menarche on pubertal parameters. The study also demonstrates that individuals with early or late timing at one point of time are likely to maintain the same relative timing throughout puberty.
Huang
Bin
B
Center for Epidemiology and Biostatistics, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio 45229, USA. bin.huang@cchmc.org
Biro
Frank M
FM
Dorn
Lorah D
LD
D000293:Adolescent; D041923:Adolescent Development / Q000502:physiology*; D002648:Child; D005260:Female; D006128:Growth / Q000502:physiology; D006801:Humans; D016015:Logistic Models; D015233:Models, Statistical; D054555:National Heart, Lung, and Blood Institute (U.S.); D011627:Puberty / Q000502:physiology*; D014481:United States