TY  - JOUR
AU  - Everson, Erik
AU  - Boles, Myde
AU  - Fink, Karol
AU  - Topol, Rebecca
AU  - Fenaughty, Andrea
PY  - 2016
TI  - Estimating the Prevalence of Childhood Obesity in Alaska Using Partial, Nonrandom Measurement Data
T2  - Preventing Chronic Disease
JO  - Prev Chronic Dis
SP  - E40
VL  - 13
CY  - Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
N2  - Although monitoring childhood obesity prevalence is critical for state public health programs to assess trends and the effectiveness of interventions, few states have comprehensive body mass index measurement systems in place. In some states, however, assorted school districts collect measurements on student height and weight as part of annual health screenings. To estimate childhood obesity prevalence in Alaska, we created a logistic regression model using such annual measurements along with public data on demographics and socioeconomic status. Our mixed-effects model-generated prevalence estimates validated well against weighted estimates, with 95% confidence intervals overlapping between methodologies among 7 of 8 participating school districts. Our methodology accounts for variation in school-level and student-level demographic factors across the state, and the approach we describe can be applied by other states that have existing nonrandom student measurement data to estimate childhood obesity prevalence.
SN  - 1545-1151
UR  - http://dx.doi.org/10.5888/pcd13.150429
DO  - 10.5888/pcd13.150429
ER  - 
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