peer-reviewedBackground: As the use of self-reported data to classify obesity continues, the temporal change in the accuracy of self-report measurement when compared to clinical measurement remains unclear. The objective of this study was to examine temporal trends in misclassification patterns, as well as sensitivity and specificity, of clinically measured versus self-report based body mass index (BMI) from three national lifestyle surveys over a 10-year period. Methods: The Surveys of Lifestyle Attitudes and Nutrition (SLAN) were interview based cross-sectional survey/measurements involving nationally representative samples in 1998, 2002 and 2007. Data from a subsample of both self-reported and measured height and weight were available fr...
BACKGROUND: Many studies have documented the bias in body mass index (BMI) determined from self-repo...
Background It is challenging to measure BMI accurately in population studies because it is an expen...
Based on a representative sample of the Canadian population, this article quantifies the bias result...
BACKGROUND: As the use of self-reported data to classify obesity continues, the temporal change in t...
Background: As the use of self-reported data to classify obesity continues, the temporal change in t...
peer-reviewedBackground: We have previously identified in a study of both self-reported body mass in...
To assess time trends in measurement error of BMI and the sensitivity/specificity of classifying wei...
Using the nationally representative Slan dataset of 2007 we analyse the relationship between self-re...
Background: We have previously identified in a study of both self-reported body mass index (BMI) and...
Aims: Up-to-date information on the accuracy between different anthropometric data collection method...
Reliable measures of obesity are essential in order to develop effective policies to tackle the cost...
In Switzerland monitoring of obesity in the general population is based on body mass index (BMI) der...
Background The use of self-reported data in epidemiological surveys leads to misclassification of th...
BACKGROUND: Self-reported anthropometric data are commonly used to estimate prevalence of obesity in...
We designed an experiment to explore the extent of measurement error in body mass index (BMI), when ...
BACKGROUND: Many studies have documented the bias in body mass index (BMI) determined from self-repo...
Background It is challenging to measure BMI accurately in population studies because it is an expen...
Based on a representative sample of the Canadian population, this article quantifies the bias result...
BACKGROUND: As the use of self-reported data to classify obesity continues, the temporal change in t...
Background: As the use of self-reported data to classify obesity continues, the temporal change in t...
peer-reviewedBackground: We have previously identified in a study of both self-reported body mass in...
To assess time trends in measurement error of BMI and the sensitivity/specificity of classifying wei...
Using the nationally representative Slan dataset of 2007 we analyse the relationship between self-re...
Background: We have previously identified in a study of both self-reported body mass index (BMI) and...
Aims: Up-to-date information on the accuracy between different anthropometric data collection method...
Reliable measures of obesity are essential in order to develop effective policies to tackle the cost...
In Switzerland monitoring of obesity in the general population is based on body mass index (BMI) der...
Background The use of self-reported data in epidemiological surveys leads to misclassification of th...
BACKGROUND: Self-reported anthropometric data are commonly used to estimate prevalence of obesity in...
We designed an experiment to explore the extent of measurement error in body mass index (BMI), when ...
BACKGROUND: Many studies have documented the bias in body mass index (BMI) determined from self-repo...
Background It is challenging to measure BMI accurately in population studies because it is an expen...
Based on a representative sample of the Canadian population, this article quantifies the bias result...