Literature DB >> 18608636

Predictors of body mass index change in Australian primary school children.

Kylie Hesketh1, John Carlin, Melissa Wake, David Crawford.   

Abstract

OBJECTIVE: To assess associations between multiple potential predictors and change in child body mass index (BMI).
METHODS: In the 1997 Health of Young Victorians Study, children in Grades preparatory to three (aged 5-10 years) had their height and weight measured. Parents provided information on potential predictors of childhood overweight across six domains (children's diet, children's activity level, family composition, sociodemographic factors, prenatal factors and parental adiposity). Measures were repeated three years later in 2000/1. BMI was transformed to standardised (z) scores using the US 2000 Growth Chart data and children were classified as non-overweight or overweight according to international cut-points. Regression analyses, including baseline BMI z-score as a covariate, assessed the contribution of each potential predictor to change in BMI z-score, development of overweight and spontaneous resolution of overweight in 1,373 children.
RESULTS: BMI z-score change was positively associated with frequency of take-away food, food quantity, total weekly screen time, non-Australian paternal country of birth, maternal smoking during pregnancy, and maternal and paternal BMI. Inverse associations were noted for the presence of siblings and rural residence (all p<0.05). Predictors of categorical change (development and resolution of overweight) were less clearly identified, apart from an association between maternal BMI and overweight development (p=0.02). Multivariable models suggested individual determinants have a cumulative effect on BMI change.
CONCLUSIONS: Strong short-term tracking of BMI makes it difficult to identify predictors of change. Nonetheless, putative determinants across all domains assessed were independently associated with adiposity change. Multi-faceted solutions are likely to be required to successfully deal with the complexities of childhood overweight.

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Mesh:

Year:  2009        PMID: 18608636     DOI: 10.1080/17477160802191122

Source DB:  PubMed          Journal:  Int J Pediatr Obes        ISSN: 1747-7166


  5 in total

1.  Birth order and sibship composition as predictors of overweight or obesity among low-income 4- to 8-year-old children.

Authors:  R H Mosli; A L Miller; K E Peterson; N Kaciroti; K Rosenblum; A Baylin; J C Lumeng
Journal:  Pediatr Obes       Date:  2015-03-02       Impact factor: 4.000

2.  Adiposity and different types of screen time.

Authors:  Jennifer Falbe; Bernard Rosner; Walter C Willett; Kendrin R Sonneville; Frank B Hu; Alison E Field
Journal:  Pediatrics       Date:  2013-11-25       Impact factor: 7.124

Review 3.  Systematic review of sedentary behaviour and health indicators in school-aged children and youth.

Authors:  Mark S Tremblay; Allana G LeBlanc; Michelle E Kho; Travis J Saunders; Richard Larouche; Rachel C Colley; Gary Goldfield; Sarah Connor Gorber
Journal:  Int J Behav Nutr Phys Act       Date:  2011-09-21       Impact factor: 6.457

4.  Social and somatic determinants of underweight, overweight and obesity at 5 years of age: a Norwegian regional cohort study.

Authors:  Hilde Mjell Donkor; Jacob Holter Grundt; Pétur Benedikt Júlíusson; Geir Egil Eide; Jørgen Hurum; Robert Bjerknes; Trond Markestad
Journal:  BMJ Open       Date:  2017-08-18       Impact factor: 2.692

5.  Measured parental weight status and familial socio-economic status correlates with childhood overweight and obesity at age 9.

Authors:  Eimear Keane; Richard Layte; Janas Harrington; Patricia M Kearney; Ivan J Perry
Journal:  PLoS One       Date:  2012-08-17       Impact factor: 3.240

  5 in total

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