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ISSN: 2165-7904

Journal of Obesity & Weight Loss Therapy
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Research Article

Using Process Control to Measure Pediatric Obesity

Lisaann S Gittner1*, Susan M Ludington-Hoe2, Harold Haller3, and Barbara Kilbourne4
1Department of Political Science, Texas Tech University, USA
2College of Nursing, Case Western Reserve University, USA
3Department of Statistics, Case Western Reserve University, USA
4Department of Sociology, Tennessee State University, USA
Corresponding Author : Lisaann S. Gittner, PhD
Assistant Professor
Department of Political Science
Texas Tech University, USA
Tel: 440-915-8831
Fax: 806-742-0850
E-mail: [email protected]
Received April 26, 2014; Accepted May 27, 2014; Published May 29, 2014
Citation: Gittner LS, Ludington-Hoe SM, Haller H, Kilbourne B (2014) Using Process Control to Measure Pediatric Obesity. J Obes Weight Loss Ther 4:218. doi:10.4172/2165-7904.1000218
Copyright: © 2014 Gittner LS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Obesity beginning in infancy is a precursor to a life-long weight struggle and numerous co-morbidities. Thus, early diagnosis and intervention are of paramount importance. The study objectives were to use process control to produce control charts to determine and predict obesity from birth to 5-years of age. A descriptive comparative longitudinal study using retrospective chart review of height and weight at well-child visits from birth to five years of age was conducted in a Midwestern U.S. health maintenance organization. Participants were randomly selected children (n=223) of medically-uncomplicated gestations and pregnancies, and who had no medical complications other than non-food allergies. The children were classified as either normal weight, overweight or obese at five years of age using WHO reference standards. Control charts were developed to distinguish normal, overweight and obese growth patterns using longitudinal decision analysis. Decision limits were constructed for each time point; if a child is above decision limits, the child’s BMI is abnormally high with a p-value of >0.05, indicating significant difference compared to a normal value. From 2-12 months children categorized at 5-years as normal weight were slightly below the lower decision limit, overweight children were consistently between lower and upper decision limits, and obese children were above upper decision limit. Carefully constructed control charts are a powerful method to monitor growth processes. The charts have high obesity predictive ability when used with children over 2 months old; and should be considered as a method to monitor pediatric growth.

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