Literature DB >> 20194988

Learning from state surveillance of childhood obesity.

Matt Longjohn1, Amy R Sheon, Paula Card-Higginson, Philip R Nader, Maryann Mason.   

Abstract

Data on childhood obesity collected by the Centers for Disease Control and Prevention helped reveal the nation's epidemic of overweight and obese children. But more information is needed. Collecting body mass index (BMI)-the widely accepted measurement of childhood weight status-at the state and local levels can be instrumental in identifying and tracking obesity trends, designing interventions to help overweight children, and guiding broader policy solutions. Approximately thirty states have enacted or proposed BMI surveillance laws and regulations. Arkansas stands out as the state with the highest-quality surveillance data. Innovative strategies being pursued in a number of other states should be explored for broader dissemination.

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Year:  2010        PMID: 20194988     DOI: 10.1377/hlthaff.2009.0733

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  7 in total

1.  Trends in body mass index among Ohio's third-grade children: 2004-2005 to 2009-2010.

Authors:  Reena Oza-Frank; Erinn M Hade; Angela Norton; Heidi Scarpitti; Elizabeth J Conrey
Journal:  J Acad Nutr Diet       Date:  2013-03       Impact factor: 4.910

2.  Body Mass Transitions Through Childhood and Early Adolescence: A Multistate Life Table Approach.

Authors:  Melanie K Tran; Patrick M Krueger; Emily McCormick; Arthur Davidson; Deborah S Main
Journal:  Am J Epidemiol       Date:  2016-03-16       Impact factor: 4.897

3.  There is no relationship between academic achievement and body mass index among fourth-grade, predominantly African-American children.

Authors:  Suzanne D Baxter; Caroline H Guinn; Joshua M Tebbs; Julie A Royer
Journal:  J Acad Nutr Diet       Date:  2013-04       Impact factor: 4.910

4.  Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records.

Authors:  Young-Geun Choi; Lawrence P Hanrahan; Derek Norton; Ying-Qi Zhao
Journal:  Biometrics       Date:  2020-12-11       Impact factor: 1.701

5.  Trends in Early Childhood Obesity in a Large Urban School District in the Southwestern United States, 2007-2014.

Authors:  Andrea Cantarero; Orrin Myers; Thomas Scharmen; Peter Kinyua; Elizabeth Yakes Jimenez
Journal:  Prev Chronic Dis       Date:  2016-06-02       Impact factor: 2.830

6.  US States' Childhood Obesity Surveillance Practices and Recommendations for Improving Them, 2014-2015.

Authors:  Kelly J Blondin; Catherine M Giles; Angie L Cradock; Steven L Gortmaker; Michael W Long
Journal:  Prev Chronic Dis       Date:  2016-07-28       Impact factor: 2.830

7.  What Could Be Future Scenarios?-Lessons from the History of Public Health Surveillance for the Future: --A keynote address presented at the 8th World Alliance for Risk Factor Surveillance (WARFS) Global Conference on October 30, 2013, Beijing, China.

Authors:  Bernard C K Choi
Journal:  AIMS Public Health       Date:  2015-03-09
  7 in total

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