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Estimating the Prevalence of Childhood Obesity in Alaska Using Partial, Nonrandom Measurement Data

Supporting Files Public Domain
File Language:
English


Details

  • Journal Article:
    Preventing Chronic Disease (PCD)
  • Personal Author:
  • Description:
    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.
  • Subjects:
  • Source:
    Prev Chronic Dis. 13.
  • DOI:
  • ISSN:
    1545-1151
  • Pubmed ID:
    27010843
  • Pubmed Central ID:
    PMC4807438
  • Document Type:
    Journal Article
  • Place as Subject:
    Alaska
  • Location:
    North America
  • Volume:
    13
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:972664df572868103b32c8068fa0789a1e7280aeb62e54a28168358145021764570fb27d24c7a895b58db7c4eece69c0f455a682bdb6dcfa206464ed8d960cb7
  • Download URL:
  • File Type:
    Filetype[PDF - 303.33 KB ]

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