Literature DB >> 24809955

Throwing out the baby with the bathwater?: Comparing 2 approaches to implausible values of change in body size.

Christine L Gray1, Whitney R Robinson.   

Abstract

BACKGROUND: In childhood obesity research, the appearance of height loss, or "shrinkage," indicates measurement error. It is unclear whether a common response--excluding "shrinkers" from analysis--reduces bias.
METHODS: Using data from the National Longitudinal Study of Adolescent Health, we sampled 816 female adolescents (≥17 years) who had attained adult height by 1996 and for whom adult height was consistently measured in 2001 and 2008 ("gold-standard" height). We estimated adolescent obesity prevalence and the association of maternal education with adolescent obesity under 3 conditions: excluding shrinkers (for whom gold-standard height was less than recorded height in 1996), retaining shrinkers, and retaining shrinkers but substituting their gold-standard height.
RESULTS: When we estimated obesity prevalence, excluding shrinkers decreased precision without improving validity. When we regressed obesity on maternal education, excluding shrinkers produced less valid and less precise estimates.
CONCLUSION: In some circumstances, ignoring shrinkage is a better strategy than excluding shrinkers.

Entities:  

Mesh:

Year:  2014        PMID: 24809955      PMCID: PMC4417741          DOI: 10.1097/EDE.0000000000000111

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  14 in total

1.  Semi-automated sensitivity analysis to assess systematic errors in observational data.

Authors:  Timothy L Lash; Aliza K Fink
Journal:  Epidemiology       Date:  2003-07       Impact factor: 4.822

2.  Exposure-measurement error is frequently ignored when interpreting epidemiologic study results.

Authors:  Anne M Jurek; George Maldonado; Sander Greenland; Timothy R Church
Journal:  Eur J Epidemiol       Date:  2006-12-21       Impact factor: 8.082

3.  Recognition of childhood overweight during health supervision visits: Does BMI help pediatricians?

Authors:  Sarah E Barlow; Sonal R Bobra; Michael B Elliott; Ross C Brownson; Debra Haire-Joshu
Journal:  Obesity (Silver Spring)       Date:  2007-01       Impact factor: 5.002

4.  Use of the body mass index (BMI) as a measure of overweight in children and adolescents.

Authors:  W H Dietz; T N Robinson
Journal:  J Pediatr       Date:  1998-02       Impact factor: 4.406

5.  Basic methods for sensitivity analysis of biases.

Authors:  S Greenland
Journal:  Int J Epidemiol       Date:  1996-12       Impact factor: 7.196

6.  Childhood influences on youth obesity.

Authors:  Timothy Classen; Charles Hokayem
Journal:  Econ Hum Biol       Date:  2005-07       Impact factor: 2.184

7.  Strategies for multiple imputation in longitudinal studies.

Authors:  Michael Spratt; James Carpenter; Jonathan A C Sterne; John B Carlin; Jon Heron; John Henderson; Kate Tilling
Journal:  Am J Epidemiol       Date:  2010-07-08       Impact factor: 4.897

8.  2000 CDC Growth Charts for the United States: methods and development.

Authors:  Robert J Kuczmarski; Cynthia L Ogden; Shumei S Guo; Laurence M Grummer-Strawn; Katherine M Flegal; Zuguo Mei; Rong Wei; Lester R Curtin; Alex F Roche; Clifford L Johnson
Journal:  Vital Health Stat 11       Date:  2002-05

9.  Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version.

Authors:  Cynthia L Ogden; Robert J Kuczmarski; Katherine M Flegal; Zuguo Mei; Shumei Guo; Rong Wei; Laurence M Grummer-Strawn; Lester R Curtin; Alex F Roche; Clifford L Johnson
Journal:  Pediatrics       Date:  2002-01       Impact factor: 7.124

10.  Obesity evaluation and treatment: Expert Committee recommendations. The Maternal and Child Health Bureau, Health Resources and Services Administration and the Department of Health and Human Services.

Authors:  S E Barlow; W H Dietz
Journal:  Pediatrics       Date:  1998-09       Impact factor: 7.124

View more
  2 in total

1.  Validity of the WHO cutoffs for biologically implausible values of weight, height, and BMI in children and adolescents in NHANES from 1999 through 2012.

Authors:  David S Freedman; Hannah G Lawman; Asheley C Skinner; Lisa C McGuire; David B Allison; Cynthia L Ogden
Journal:  Am J Clin Nutr       Date:  2015-09-16       Impact factor: 7.045

2.  The prevalence and validity of high, biologically implausible values of weight, height, and BMI among 8.8 million children.

Authors:  David S Freedman; Hannah G Lawman; Liping Pan; Asheley C Skinner; David B Allison; Lisa C McGuire; Heidi M Blanck
Journal:  Obesity (Silver Spring)       Date:  2016-03-17       Impact factor: 5.002

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.