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Predicting babies' risk of obesity
  1. Mary Rudolf1
  1. 1Department of community paediatrics, NHS Leeds, Leeds, UK and Academic Unit of Paediatrics, University of Leeds, Leeds, UK
  1. Correspondence to Professor Mary Rudolf, Child Health, Academic Unit of Paediatrics, University Department of Paediatrics, NHS Leeds, D Floor, Clarendon Wing, Leeds General Infirmary, Belmont Grove, Leeds, LS2 9NS, UK; mary.rudolf{at}leedsth.nhs.uk

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One in 10 children starting school in the UK are already obese,1 yet a recent government poll indicated that parents worry more about their children being murdered than they do about their health.2 How do we begin to raise awareness about the considerable risks that accompany obesity?

Not long ago I was approached by the Department of Health for my views on obesity prevention and the criteria health visiting services should be using to gauge unhealthy weight gain. At first thought it seemed logical to suggest a reversal of our criteria for weight faltering, namely to alert parents when their baby's weight crosses up two centiles or is above the 98th centile. However, a moment's reflection led me to consider that we might do better than this.

Recent epidemiological studies have identified a number of factors in the perinatal period that indicate risk for later obesity.3,,8 The most significant of these are shown in box 1. I wondered whether these data might be used to develop a more ‘evidence-based’ way of providing guidance on obesity risk than using growth charts alone?

Box 1

Perinatal risk factors associated with the development of child obesity

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The idea began to emerge that we might be able to develop a tool to identify a baby's risk. The benefits of doing so could be considerable. Families could be provided with guidance before obesity developed and health visiting resources could be targeted to focus on those most in need.

Is it feasible to develop an obesity risk tool for infants?

Using contemporary birth cohorts, we started to explore the possibility of devising a tool that could accurately predict a baby or young child's risk of obesity. The Avon Longitudinal Study of Parents and Children (ALSPAC)9 provided a good starting point, with adequate follow-up of the children now available to at least 13 years of age. The top five predictors identified …

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