Literature DB >> 17361663

The international growth standard for children and adolescents project: environmental influences on preadolescent and adolescent growth in weight and height.

Stanley J Ulijaszek1.   

Abstract

This review has two aims. The first is to identify important environmental influences on the growth of children aged 1 to 9 years and of adolescents, defined as those aged 10 to 19 years. The second is to identify possible environmentally based criteria for the selection of individuals and populations for data collection in the development of an international growth reference for these age ranges. There are many common environmental influences on the growth of children between the ages of 1 and 19 years; the examination and description of these forms the main body of this review. Subsequently, environmental factors influencing adolescent growth only are considered. In both cases, possible selection criteria are put forward. The most important inclusion criteria for both preadolescence and adolescence are good nutrition, lack of infection, and socioeconomic status that does not constrain growth. Additionally, low birthweight, catchup growth, breastfeeding, and early adiposity rebound have impacts on growth and/or body composition into puberty. Exclusion of children born at low birth and/or experiencing catch-up growth could be most realistically operationalized if populations in which secular trends in growth were either completed or minimal were selected. Although an effect of hypoxia on child and adolescent growth, independent of nutrition, is small at most, many high-altitude populations have high prevalances of low birthweight and should be excluded on this basis. Since all populations are exposed to pollutants, contaminants, and toxicants in varying degrees, they cannot be realistically excluded from the sample frame. However, it may be desirable to exclude populations that are habitually exposed to extremely high levels of environmental pollution, including air pollution, and those living in close proximity to toxic waste. It is impossible to exclude populations and individuals on the basis of their exposure to aflatoxin contamination of food. However, exclusion on the basis of low socioeconomic status or poverty may well act as a proxy for this. There are a small number of populations that show extreme patterns of growth in body size and proportion in preadolescence and adolescence, and these should be excluded from the sample frame.

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Year:  2006        PMID: 17361663     DOI: 10.1177/15648265060274S510

Source DB:  PubMed          Journal:  Food Nutr Bull        ISSN: 0379-5721            Impact factor:   2.069


  12 in total

1.  Juvenile subsistence effort, activity levels, and growth patterns. Middle childhood among Pumé foragers.

Authors:  Karen L Kramer; Russell D Greaves
Journal:  Hum Nat       Date:  2011-09

2.  Physical growth of the shuar: Height, Weight, and BMI references for an indigenous amazonian population.

Authors:  Samuel S Urlacher; Aaron D Blackwell; Melissa A Liebert; Felicia C Madimenos; Tara J Cepon-Robins; Theresa E Gildner; J Josh Snodgrass; Lawrence S Sugiyama
Journal:  Am J Hum Biol       Date:  2015-06-30       Impact factor: 1.937

3.  Infant growth disparity in the Khanh Hoa province in Vietnam: a follow-up study.

Authors:  Arild Vaktskjold; Doàn Văn Trí; D Ng Trong Phi; Torkjel Sandanger
Journal:  BMC Pediatr       Date:  2010-08-23       Impact factor: 2.125

4.  Childhood height and birth weight in relation to future prostate cancer risk: a cohort study based on the copenhagen school health records register.

Authors:  Michael B Cook; Michael Gamborg; Julie Aarestrup; Thorkild I A Sørensen; Jennifer L Baker
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-02       Impact factor: 4.254

5.  Use of upper-arm anthropometry as measure of body-composition and nutritional assessment in children and adolescents (6-20 years) of Assam, Northeast India.

Authors:  Singh Jaswant; Mondal Nitish
Journal:  Ethiop J Health Sci       Date:  2014-07

6.  [Anthropometric indices among schoolchildren from a municipality in Southern Brazil: a descriptive analysis using the LMS method].

Authors:  Valter Cordeiro Barbosa Filho; Adair da Silva Lopes; Ricardo Rosa Fagundes; Wagner de Campos
Journal:  Rev Paul Pediatr       Date:  2014-12

7.  Adolescent pregnancy and linear growth of infants: a birth cohort study in rural Ethiopia.

Authors:  Abdulhalik Workicho; Tefera Belachew; Alemayehu Argaw; Shibani Ghosh; Meghan Kershaw; Carl Lachat; Patrick Kolsteren
Journal:  Nutr J       Date:  2019-04-02       Impact factor: 3.271

8.  Centile curves and reference values for height, body mass, body mass index and waist circumference of Peruvian children and adolescents.

Authors:  Alcibíades Bustamante; Duarte Freitas; Huiqi Pan; Peter T Katzmarzyk; José Maia
Journal:  Int J Environ Res Public Health       Date:  2015-03-09       Impact factor: 3.390

9.  An Allometric Modelling Approach to Identify the Optimal Body Shape Associated with, and Differences between Brazilian and Peruvian Youth Motor Performance.

Authors:  Simonete Silva; Alcibíades Bustamante; Alan Nevill; Peter T Katzmarzyk; Duarte Freitas; António Prista; José Maia
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

10.  Applicability of two commonly used bone age assessment methods to twenty-first century UK children.

Authors:  Khalaf Alshamrani; Amaka C Offiah
Journal:  Eur Radiol       Date:  2019-08-01       Impact factor: 5.315

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