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Predictors of Body Mass Index among Iowa Elementary School Students
Tuesday, November 9, 2010
Overweight/obesity prevalence rates have been well-documented by using self-reported height and weight across age groups in Iowa. However, validity and reliability limitations related to self-reported data have been noted. Further, inadequate standardized assessments have been conducted to document the overweight/obesity prevalence rate among elementary school-aged children across the state. The current study objective was to determine the prevalence rate and predictors of overweight/obesity among Iowa elementary school students. A random sample of 30 elementary schools across the state, stratified by rural/urban status, participated. Parents provided consent and responded to questions concerning child gender, race/ethnicity, participation in the free/reduced lunch program (F/RL), and consumption of sugar-sweetened beverages (SSB). Participation rate was 76%. The majority of the participants (88%) were Caucasian; 51% were boys. Participants' mean age was 8.5 years; 32% of sampled 3rd graders were overweight/obese. The rate did not differ by gender or rural/urban school status. Students who participated in F/RL had higher BMI scores (r= –.08, p < .01). A mixed modeling statistical analysis, controlling for student nesting within schools, found that F/RL and SSB significantly predicted BMI (F = 5.3, p < .05). A two-way interaction between gender (boys) and SSB significantly predicted BMI (F = 3.0, p < .05). In conclusion, it is important to have valid and reliable measures of BMI to document increasing prevalence rates. BMI predictors can be a valuable tool to develop policies and environmental strategies to address the increasing trend. Specifically, policies to address F/RL and SSB may significantly impact BMI status.
Learning Areas:
Chronic disease management and prevention
Epidemiology
Implementation of health education strategies, interventions and programs
Planning of health education strategies, interventions, and programs
Learning Objectives: Assess the prevalence rate of overweight/obesity among Iowa children through standardized measurement.
Explain the need for a mixed modeling analysis.
Define predictors of overweight/obesity among Iowa children.
Keywords: Rural Populations, Obesity
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I am qualified to present because I evaluate programs such as the prevention of overweight/obesity among children and youth and conduct surveillance of overweight/obesity, as well as chronic disease.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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