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. 2005 May;90(5):464-7.
doi: 10.1136/adc.2003.048520.

Monitoring trends in obesity in South Wales using routine data

Affiliations

Monitoring trends in obesity in South Wales using routine data

S E Jones et al. Arch Dis Child. 2005 May.

Abstract

Aim: To use existing data on height and weight of 5 year old children, routinely recorded annually as part of the school entry medical, to monitor trends in obesity over the last 16 years in three South Wales localities.

Methods: Body mass index (BMI) and percentage of children over the cut off points for being overweight or obese proposed by the International Obesity Task Force were determined in 46,073 children who had height, weight, and sex recorded each school year (between 1986/87 and 2001/02) on the National Child Health Computer System held at the Swansea NHS Trust.

Results: With the exception of one year, the coverage for BMI measurements ranged between 87% and 99%. The accuracy of measurement and data entry was identified as suspect in some cases, and although some data entry errors could be corrected, 14% of BMI measurements were inadmissible. Logistic regression analysis of BMI trends in the remainder showed that the percentage of 5 year olds classified as overweight or obese had increased significantly over the time period and that the rate of change in girls was significantly greater than that in boys.

Conclusion: Overweight and obese children have increased in frequency in this population. The Child Health Computer System is potentially a valuable source of information on the health status of populations and should be capable of monitoring trends in obesity. However, accuracy of measurement and data entry need to be improved, and the system, to be useful on a national basis, needs to be amalgamated at a higher level than individual NHS Trusts.

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Figures

Figure 1
Figure 1
Percentages of boys (aged 5) by IOTF cut off points for being in overweight (grey) and obese (black) categories. *1994/95 based on 43 individuals only.
Figure 2
Figure 2
Percentages of girls (aged 5) by IOTF cut off points for being in overweight (grey) and obese (black) categories. *1994/95 based on 43 individuals only.
Figure 3
Figure 3
Fit of logistic regression model to time trends in proportions of overweight/obese boys (solid line) and girls (dotted line). The rate of increase is significantly higher for girls (p < 0.01).

References

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