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In response to Letter to the Editor: beyond the randomised control – assessment tool

Published online by Cambridge University Press:  12 May 2015

Elaine Rush*
Affiliation:
Centre for Child Health, Faculty of Health and Environmental Sciences Auckland University of TechnologyPrivate Bag 92006, Auckland 1142, New Zealand
Stephanie McLennan
Affiliation:
Sport WaikatoHamilton, New Zealand
Victor Obolonkin
Affiliation:
Centre for Child Health, Faculty of Health and Environmental Sciences Auckland University of TechnologyPrivate Bag 92006, Auckland 1142, New Zealand
Rebecca Cooper
Affiliation:
Centre for Child Health, Faculty of Health and Environmental Sciences Auckland University of TechnologyPrivate Bag 92006, Auckland 1142, New Zealand
Mike Hamlin
Affiliation:
Department of Social Science, Parks, Recreation, Tourism and SportLincoln UniversityChristchurch, New Zealand
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Abstract

Type
Letter to the Editor
Copyright
Copyright © The Authors 2015 

Madam

Drs Cornwall and Stoner provide insightful comments about how to assess progress and effectiveness of school-based physical activity and nutrition interventions( Reference Cornwall and Stoner 1 ). We agree that BMI is not the best measure of fatness or indeed of fat-free mass( Reference Rush, Reed and McLennan 2 ), and that time to run 550 m is not the ideal measure of fitness, particularly in children who by definition are growing and changing. Both these outcomes were measured in the 2011 evaluation, as was body fatness (by bioimpedance) and central fatness (by waist-to-height ratio), and they were compared with historical controls( Reference Rush, McLennan and Obolonkin 3 ). In the 2011 evaluation however, when the effect of BMI on 550 m run times was assessed, BMI explained only 30 % of the variation( Reference Cooper 4 ). For ongoing follow-up of the effect of interventions that are no longer a research trial, it is what is easiest, requires the least resources and is representative of the population that is required to ensure accountability for the investment. Our aim was to share an accessible, possibly useful tool that could be used within the practicalities of the school day and the health service.

The present authors agree with the comment that BMI is an important tool in measuring the effectiveness of an intervention. However BMI only measures one aspect of an intervention’s effectiveness, being degree of body fatness and energy balance. An intervention’s effectiveness should be assessed in much broader terms, particularly for children where optimal growth, development and function can also be affected. The use of the timed 550 m run test is just that, another tool with which to evaluate the effectiveness and effect of an intervention, in this case a validated measure of cardiorespiratory fitness. However unlike BMI, which requires multiple measurements, large amounts of resourcing (time and people) and participant consent, the timed 550 m run is a single measure that can be done with large numbers of participants simultaneously and is all-inclusive, which eliminates participant bias that can occur with measurements that require consent.

It is correctly pointed out that there is mixed evidence as to whether fatness or fitness is more important in respect to cardiometabolic disorders in children( Reference Moschonis, Mougios and Papandreou 5 Reference Benson, Torode and Singh 7 ). We did not suggest that the timed 550 m run replace BMI, but that it could serve as a measurement tool to be used in conjunction with it and others to help continue to explore child health in this regard. Currently, Project Energize reaches 15 % of the primary schools in New Zealand, so in the long term it is the national health surveys that will demonstrate if Project Energize and other initiatives help optimise the growth and development of children and improve health.

References

1. Cornwall, J & Stoner, L (2015) School-based health interventions should be assessed with measures of fitness and fatness: comment on ‘Beyond the randomised controlled trial and BMI – evaluation of effectiveness of through-school nutrition and physical activity programmes’ (Letter to the Editor). Public Health Nutr (Epublication ahead of print version).CrossRefGoogle Scholar
2. Rush, E, Reed, PW, McLennan, S et al. (2012) Tracking of body mass indices over 2 years in Maori and European children. Eur J Clin Nutr 66, 143149.CrossRefGoogle ScholarPubMed
3. Rush, E, McLennan, S, Obolonkin, V et al. (2014) Project Energize: whole-region primary school nutrition and physical activity programme; evaluation of body size and fitness 5 years after the randomised controlled trial. Br J Nutr 111, 363371.Google Scholar
4. Cooper, R (2013) Waist to height ratio in relation to time to run 550 m in primary school children in the Waikato region. MPhil Thesis, AUT University; available at http://aut.researchgateway.ac.nz/handle/10292/5758 Google Scholar
5. Moschonis, G, Mougios, V, Papandreou, C et al. (2013) ‘Leaner and less fit’ children have a better cardiometabolic profile than their ‘heavier and more fit’ peers: the Healthy Growth Study. Nutr Metab Cardiovasc Dis 23, 10581065.Google Scholar
6. Steene-Johannessen, J, Anderssen, SA, Kolle, E et al. (2009) Low muscle fitness is associated with metabolic risk in youth. Med Sci Sports Exerc 41, 13611367.Google Scholar
7. Benson, AC, Torode, ME & Singh, MA (2006) Muscular strength and cardiorespiratory fitness is associated with higher insulin sensitivity in children and adolescents. Int J Pediatr Obes 1, 222231.Google Scholar