Literature DB >> 10393164

Comparison of weight and height relations in boys from 4 countries.

M F Franklin1.   

Abstract

Height and weight data from children in the United States, United Kingdom, Japan, and Singapore were analyzed to investigate differences in growth between the groups of children. An investigation into the adjusted weight indexes of the form index = weight/heightp for differing powers of p (Benn index) showed that the power of p required to produce a correlation of zero between the index and height varied with age. For the United States, Japan, and Singapore the p value was just below 3.0 for children aged 6 y, increased to approximately 3.5 for children aged approximately 10 y, and decreased to approximately 2.0 at age approximately 18 y. A consequence of the p value being mostly >2.0 is that BMI (wt/ht2) tends to be greater for tall children than for short children. The US data (from the second National Health and Nutrition Examination Survey) also contained information on skinfold thickness. Relating skinfold thickness to indexes of the same form for height and weight suggested that the best relation was achieved with p values of approximately 2.0 except for children aged 12-16 y, for whom the optimal values for p were higher. The highest value, 2.9, was achieved at ages 12-13 y. Overall, the use of BMI as an indicator of adiposity appears acceptable for children aged 6-7 and 17-18 y. However, BMI should be used with caution when assessing children aged 8-16 y.

Entities:  

Year:  1999        PMID: 10393164

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  9 in total

1.  Comparison of 3 body size descriptors in critically ill obese children and adolescents: implications for medication dosing.

Authors:  Emma L Ross; Jennifer Jorgensen; Peter E DeWitt; Carol Okada; Renee Porter; Matthew Haemer; Pamela D Reiter
Journal:  J Pediatr Pharmacol Ther       Date:  2014-04

2.  Adjusting adiposity and body weight measurements for height alters the relationship with blood pressure in children.

Authors:  Amanda L Willig; Krista Casazza; Akilah Dulin-Keita; Frank A Franklin; Michelle Amaya; Jose R Fernandez
Journal:  Am J Hypertens       Date:  2010-04-22       Impact factor: 2.689

Review 3.  Body composition analysis in the pediatric population.

Authors:  David R Weber; Mary B Leonard; Babette S Zemel
Journal:  Pediatr Endocrinol Rev       Date:  2012-11

4.  Trajectories of fat mass index, fat free-mass index, and waist circumference in children: Project HeartBeat!

Authors:  Mona A Eissa; Shifan Dai; Nicole L Mihalopoulos; R Sue Day; Ronald B Harrist; Darwin R Labarthe
Journal:  Am J Prev Med       Date:  2009-07       Impact factor: 5.043

5.  Analyses of body composition charts among younger and older Chinese children and adolescents aged 5 to 18 years.

Authors:  Kai-Yu Xiong; Hui He; Yi-Ming Zhang; Guo-Xin Ni
Journal:  BMC Public Health       Date:  2012-10-01       Impact factor: 3.295

6.  Gender differences in relationship between fat-free mass index and fat mass index among Korean children using body composition chart.

Authors:  HyeongGeun Park; KeeHo Park; Myung Hyun Kim; Gyo Sun Kim; Sochung Chung
Journal:  Yonsei Med J       Date:  2011-11       Impact factor: 2.759

Review 7.  Analytical strategies in human growth research.

Authors:  William Johnson
Journal:  Am J Hum Biol       Date:  2014-07-28       Impact factor: 1.937

8.  Stunting, adiposity, and the individual-level "dual burden" among urban lowland and rural highland Peruvian children.

Authors:  Emma Pomeroy; Jay T Stock; Sanja Stanojevic; J Jaime Miranda; Tim J Cole; Jonathan C K Wells
Journal:  Am J Hum Biol       Date:  2014-04-07       Impact factor: 1.937

Review 9.  Prevention and treatment of pediatric obesity: an endocrine society clinical practice guideline based on expert opinion.

Authors:  Gilbert P August; Sonia Caprio; Ilene Fennoy; Michael Freemark; Francine R Kaufman; Robert H Lustig; Janet H Silverstein; Phyllis W Speiser; Dennis M Styne; Victor M Montori
Journal:  J Clin Endocrinol Metab       Date:  2008-09-09       Impact factor: 5.958

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.