Literature DB >> 22106789

Obesity estimates for children based on parent-reported versus direct measures.

Margot Shields1, Sarah Connor Gorber, Ian Janssen, Mark S Tremblay.   

Abstract

BACKGROUND: Studies based on adolescents and adults have found that the use of self-reported height and weight to calculate body mass index (BMI) yields a lower prevalence of obesity than do estimates based on measured data. Relatively few studies have examined the bias resulting from the use of parent-reported height and weight for children, and the findings have been inconsistent. DATA AND METHODS: Data are from the 2007 to 2009 Canadian Health Measures Survey. Parent-reported height and weight of children aged 6 to 11 (n=854) were obtained. Subsequently, the children's height and weight were directly measured.
RESULTS: On average, parents underestimated the height (3.3 cm) and weight (1.1 kg) of their children. Estimates of the prevalence of obesity were significantly higher when based on parent-reported versus measured values for children aged 6 to 8; the two collection methods yielded similar estimates of obesity for children aged 9 to 11. For children in both age groups, misclassification errors for BMI categories were substantial when based on parent-reported values. This weakened associations between obesity and health indicators such as aerobic fitness and systolic blood pressure. The variance explained by factors associated with the bias in parent-reported height and weight was small, particularly for height. The use of correction equations based on variables associated with the bias resulted in a very modest reduction in misclassification errors.
INTERPRETATION: Bias associated with parental reports of children's height and weight results in misclassification errors for obesity that affect relationships with other variables. Efforts to establish correction equations to adjust for this bias were unsuccessful. Direct measures are required to accurately calculate obesity estimates and their relationships with health indicators in children.

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Mesh:

Year:  2011        PMID: 22106789

Source DB:  PubMed          Journal:  Health Rep        ISSN: 0840-6529            Impact factor:   4.796


  22 in total

1.  Prevalence of toddler, child and adolescent overweight and obesity derived from primary care electronic medical records: an observational study.

Authors:  Suzanne Biro; Dave Barber; Tyler Williamson; Rachael Morkem; Shahriar Khan; Ian Janssen
Journal:  CMAJ Open       Date:  2016-09-26

Review 2.  Methodological approaches to the design and analysis of nonrandomized intervention studies for the prevention of child and adolescent obesity.

Authors:  Ravinder Sandhu; Lawrence Mbuagbaw; Jean-Eric Tarride; Vanessa De Rubeis; Sarah Carsley; Laura N Anderson
Journal:  Can J Public Health       Date:  2020-07-07

3.  Evidence Brief--Trends and projections of obesity among Canadians.

Authors:  C Bancej; B Jayabalasingham; R W Wall; D P Rao; M T Do; M de Groh; G C Jayaraman
Journal:  Health Promot Chronic Dis Prev Can       Date:  2015-09       Impact factor: 3.240

4.  Contributions of individual acculturation and neighborhood ethnic density to variations in Hispanic children's respiratory health in a US-Mexican border metropolis.

Authors:  Sara E Grineski; Timothy W Collins; Young-An Kim
Journal:  J Public Health (Oxf)       Date:  2015-06-28       Impact factor: 2.341

5.  The intestinal microbiota composition and weight development in children: the KOALA Birth Cohort Study.

Authors:  L E J M Scheepers; J Penders; C A Mbakwa; C Thijs; M Mommers; I C W Arts
Journal:  Int J Obes (Lond)       Date:  2014-10-09       Impact factor: 5.095

6.  Geography of Adolescent Obesity in the U.S., 2007-2011.

Authors:  Michael R Kramer; Ilana G Raskind; Miriam E Van Dyke; Stephen A Matthews; Jessica N Cook-Smith
Journal:  Am J Prev Med       Date:  2016-08-21       Impact factor: 5.043

7.  The association between weight perception and BMI: report and measurement data from the growing up in Ireland Cohort Study of 9-year olds.

Authors:  F Shiely; H Y Ng; E M Berkery; C Murrin; C Kelleher; K Hayes
Journal:  Int J Obes (Lond)       Date:  2015-09-27       Impact factor: 5.095

8.  Parent-reported height and weight as sources of bias in survey estimates of childhood obesity.

Authors:  Margaret M Weden; Peter B Brownell; Michael S Rendall; Christopher Lau; Meenakshi Fernandes; Zafar Nazarov
Journal:  Am J Epidemiol       Date:  2013-06-19       Impact factor: 4.897

9.  The prevalence of obesity and the level of adherence to the Korean Dietary Action Guides in Korean preschool children.

Authors:  Yuni Choi; Yeji You; Kyeong Ah Go; Zuunnast Tserendejid; Hyun Joo You; Jung Eun Lee; Seungmin Lee; Hae-Ryun Park
Journal:  Nutr Res Pract       Date:  2013-06-03       Impact factor: 1.926

10.  A multilevel approach to estimating small area childhood obesity prevalence at the census block-group level.

Authors:  Xingyou Zhang; Stephen Onufrak; James B Holt; Janet B Croft
Journal:  Prev Chronic Dis       Date:  2013-05-02       Impact factor: 2.830

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