Predictors of body mass index change in Australian primary school children

Hesketh, Kylie, Carlin, John, Wake, Melissa and Crawford, David 2009, Predictors of body mass index change in Australian primary school children, International journal of pediatric obesity, vol. 4, no. 1, pp. 45-53, doi: 10.1080/17477160802191122.

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Title Predictors of body mass index change in Australian primary school children
Author(s) Hesketh, KylieORCID iD for Hesketh, Kylie
Carlin, John
Wake, Melissa
Crawford, DavidORCID iD for Crawford, David
Journal name International journal of pediatric obesity
Volume number 4
Issue number 1
Start page 45
End page 53
Total pages 9
Publisher Informa Healthcare
Place of publication London, England
Publication date 2009-03
ISSN 1747-7166
Keyword(s) body mass index
BMI change children
longitudinal study
Summary 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 510 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 cutpoints.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 pB0.05). Predictors of categorical change (development and resolution of overweight) were less clearly identified, apart from an association between maternal BMI and overweight development (p0.02). 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.
Language eng
DOI 10.1080/17477160802191122
Field of Research 111706 Epidemiology
Socio Economic Objective 920401 Behaviour and Health
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2009
Copyright notice ©2009, Informa UK Ltd
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