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Canadian Journal of Public Health = Revue Canadienne de Santé Publique logoLink to Canadian Journal of Public Health = Revue Canadienne de Santé Publique
. 2004 Nov 1;95(6):419–423. doi: 10.1007/BF03403984

Using Routine Growth Monitoring Data in Tracking Overweight Prevalence in Young Children

Meizi He 15,35,, Judy Sutton 25
PMCID: PMC6976283  PMID: 15622789

Abstract

Background

Childhood obesity is a public health concern in Canada. Few anthropometrical data are available to monitor the obesity trend in young Canadian children. This study explored the feasibility of using routine growth monitoring data from physicians’ offices for tracking the prevalence of obesity in children from two to six years of age in County of Middlesex and the City of London, Ontario.

Method

Data on body weight and height were retrieved from the growth chart at each immunization visit and routine checkup in five medical centres in the Middlesex-London area. Postal code data were also collected as a proxy measure for socio-economic status. The BMI-for-age references by the Centers for Disease Control and Prevention (CDC) of the United States were used to classify the weight status of the children.

Results

In total, 1,370 growth charts of children from two to six years of age were reviewed. Approximately 30% of young children were either at risk of being overweight or were overweight, with an onset as early as age two.

Conclusion

Overweight is prevalent in young children. Data from routine growth monitoring in primary health care settings have great potential to be used as a population-based data source to track the prevalence of obesity in young children.

Footnotes

At the time the research was undertaken, J. Sutton was a Physician Researcher / Educator with the PHRED Program at Middlesex-London Health Unit and Assistant Professor, Faculty of Medicine and Dentistry, the University of Western Ontario.

Funding sources: The study was funded by the Middlesex-London Health Unit. Brescia University College provided salary support for three work-study students responsible for data collection, data entry and verification.

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