Literature DB >> 19556977

The bias in self-reported obesity from 1976 to 2005: a Canada-US comparison.

Sarah Connor Gorber1, Mark S Tremblay.   

Abstract

The objective of this study was to determine whether the bias in self-reported estimates of obesity has changed over time and followed different patterns in Canada and the United States. Using age-standardized data from three waves of the National Health and Nutrition Examination Survey (NHANES) in the United States and the Canadian Community Health Survey (CCHS) and the Canadian Heart Health Survey (CHHS) in Canada, discrepancies were compared between reported and measured estimates of height, weight, and obesity (based on the BMI) from 1976 to 2005. Results indicated that obesity increased in both countries, but rates were higher in the United States. The discrepancy between self-reported and measured obesity was small in the United States with reported data underestimating measured prevalence by about 3%; this stayed relatively constant over time. In Canada, the discrepancy was large and doubled in the past decade (from 4 to 8%). In the United States, self-reported data may be more accurate in monitoring changes in obesity over time, as the estimates have consistently remained about 3% below the measured estimates, whereas in Canada, monitoring obesity based solely on self-reported height and weight may produce inaccurate estimates because of the increasing discrepancy between self-reported and measured data.

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Year:  2009        PMID: 19556977     DOI: 10.1038/oby.2009.206

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  49 in total

1.  Accuracy of self-reported height and weight in a community-based sample of older African Americans and whites.

Authors:  Gerda G Fillenbaum; Maragatha N Kuchibhatla; Heather E Whitson; Bryan C Batch; Laura P Svetkey; Carl F Pieper; William E Kraus; Harvey J Cohen; Dan G Blazer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-06-07       Impact factor: 6.053

2.  The effects of childhood SNAP use and neighborhood conditions on adult body mass index.

Authors:  Thomas P Vartanian; Linda Houser
Journal:  Demography       Date:  2012-08

3.  Fine Mapping and Identification of BMI Loci in African Americans.

Authors:  Jian Gong; Fredrick Schumacher; Unhee Lim; Lucia A Hindorff; Jeff Haessler; Steven Buyske; Christopher S Carlson; Stephanie Rosse; Petra Bůžková; Myriam Fornage; Myron Gross; Nathan Pankratz; James S Pankow; Pamela J Schreiner; Richard Cooper; Georg Ehret; C Charles Gu; Denise Houston; Marguerite R Irvin; Rebecca Jackson; Lew Kuller; Brian Henderson; Iona Cheng; Lynne Wilkens; Mark Leppert; Cora E Lewis; Rongling Li; Khanh-Dung H Nguyen; Robert Goodloe; Eric Farber-Eger; Jonathan Boston; Holli H Dilks; Marylyn D Ritchie; Jay Fowke; Loreall Pooler; Misa Graff; Lindsay Fernandez-Rhodes; Barbara Cochrane; Eric Boerwinkle; Charles Kooperberg; Tara C Matise; Loic Le Marchand; Dana C Crawford; Christopher A Haiman; Kari E North; Ulrike Peters
Journal:  Am J Hum Genet       Date:  2013-10-03       Impact factor: 11.025

4.  Problems with the Fraser report Chapter 1: Pitfalls in BMI time trend analysis.

Authors:  Ernest Lo
Journal:  Can J Public Health       Date:  2014-11-05

5.  Stochastic variability in stress, sleep duration, and sleep quality across the distribution of body mass index: insights from quantile regression.

Authors:  Tse-Chuan Yang; Stephen A Matthews; Vivian Y-J Chen
Journal:  Int J Behav Med       Date:  2014-04

6.  Impact of weight-related advice from healthcare professionals on body mass index of patients in the USA.

Authors:  H-Y Yang; H-J Chen; Y-J Hsu; L J Cheskin; Y Wang
Journal:  Public Health       Date:  2018-05-03       Impact factor: 2.427

7.  Patient-reported areas for quality improvement in general practice: a cross-sectional survey.

Authors:  Amy Waller; Mariko Carey; Danielle Mazza; Serene Yoong; Alice Grady; Rob Sanson-Fisher
Journal:  Br J Gen Pract       Date:  2015-05       Impact factor: 5.386

8.  Trajectories of cigarette smoking from adolescence to young adulthood as predictors of obesity in the mid-30s.

Authors:  David W Brook; Chenshu Zhang; Judith S Brook; Stephen J Finch
Journal:  Nicotine Tob Res       Date:  2010-01-18       Impact factor: 4.244

9.  The obesity epidemic and changes in self-report biases in BMI.

Authors:  Aiko Hattori; Roland Sturm
Journal:  Obesity (Silver Spring)       Date:  2013-04       Impact factor: 5.002

10.  Maternal pre-pregnancy obesity and child neurodevelopmental outcomes: a meta-analysis.

Authors:  C E Sanchez; C Barry; A Sabhlok; K Russell; A Majors; S H Kollins; B F Fuemmeler
Journal:  Obes Rev       Date:  2017-11-22       Impact factor: 9.213

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