Literature DB >> 20089678

Self-reported and measured weight, height and body mass index (BMI) in Italy, the Netherlands and North America.

Arno J Krul1, Hein A M Daanen, Hyegjoo Choi.   

Abstract

BACKGROUND: Self-reported values of height and weight are used increasingly despite warnings that these data-and derived body mass index (BMI) values-might be biased. The present study investigates whether differences between self-reported and measured values are the same for populations from different regions, and the influences of gender and age.
METHODS: Differences between self-reported and measured weights, heights and resulting BMIs are compared for representative samples of the adult population of Italy, the Netherlands and North America.
RESULTS: We observed that weight is under-reported (1.1 ± 2.6 kg for females and 0.4 ± 3.1 kg for males) and height over-reported (1.1 ± 2.2 cm for females and 1.7 ± 2.1 cm for males), in accordance with the literature. This leads to an overall underestimation of BMI values (0.7 ± 1.2 kg/m(2) or 2.8% for females and 0.6 ± 1.1 kg/m(2) or 2.3% for males). When BMI values are assigned to four categories (from 'underweight' to 'obesity'), 11.2% of the females and 12.0% of the males are categorized too low when self-reported weights and heights are used, with an extreme of 17.2% for Italian females. Older people tend to relatively over-report height and under-report weight, but the magnitude differs between countries and gender.
CONCLUSION: We conclude that, apart from a general overestimation of height and underestimation of weight resulting in an underestimation of BMI, substantial differences are observed between countries, between females and males and between age groups.

Entities:  

Mesh:

Year:  2010        PMID: 20089678     DOI: 10.1093/eurpub/ckp228

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  53 in total

1.  U-shaped association of body mass index in early adulthood with unintentional mortality from injuries: a cohort study of Swedish men with 35 years of follow-up.

Authors:  T Jia; P Tynelius; F Rasmussen
Journal:  Int J Obes (Lond)       Date:  2015-11-26       Impact factor: 5.095

2.  Risk factors on the development of new-onset gastroesophageal reflux symptoms. A population-based prospective cohort study: the HUNT study.

Authors:  Andreas Hallan; Maria Bomme; Kristian Hveem; Jane Møller-Hansen; Eivind Ness-Jensen
Journal:  Am J Gastroenterol       Date:  2015-02-10       Impact factor: 10.864

3.  How much energy is locked in the USA? Alternative metrics for characterising the magnitude of overweight and obesity derived from BRFSS 2010 data.

Authors:  Daniel D Reidpath; Mohd Masood; Pascale Allotey
Journal:  Int J Public Health       Date:  2013-09-18       Impact factor: 3.380

4.  Associations between types of greenery along neighborhood roads and weight status in different climates.

Authors:  Wei-Lun Tsai; Amy J S Davis; Laura E Jackson
Journal:  Urban For Urban Green       Date:  2019-05

5.  Potential sensitivity of bias analysis results to incorrect assumptions of nondifferential or differential binary exposure misclassification.

Authors:  Candice Y Johnson; W Dana Flanders; Matthew J Strickland; Margaret A Honein; Penelope P Howards
Journal:  Epidemiology       Date:  2014-11       Impact factor: 4.822

6.  Maternal BMI, glucose tolerance, and adverse pregnancy outcomes.

Authors:  Alison M Stuebe; Mark B Landon; Yinglei Lai; Catherine Y Spong; Marshall W Carpenter; Susan M Ramin; Brian Casey; Ronald J Wapner; Michael W Varner; Dwight J Rouse; Anthony Sciscione; Patrick Catalano; Margaret Harper; George Saade; Yoram Sorokin; Alan M Peaceman; Jorge E Tolosa
Journal:  Am J Obstet Gynecol       Date:  2012-05-02       Impact factor: 8.661

7.  Errors in body mass index from self-reported data by sex and across waves of Add Health.

Authors:  Carmen D Ng
Journal:  Ann Epidemiol       Date:  2019-09-19       Impact factor: 3.797

8.  Changes in abdominal fat following antiretroviral therapy initiation in HIV-infected individuals correlate with waist circumference and self-reported changes.

Authors:  Priya Bhagwat; Ighovwerha Ofotokun; Grace A McComsey; Todd T Brown; Carlee Moser; Catherine A Sugar; Judith S Currier
Journal:  Antivir Ther       Date:  2017-03-01

9.  The association of maternal pre-pregnancy body mass index with breastfeeding initiation.

Authors:  Lindsay A Thompson; Shuyao Zhang; Erik Black; Rajeeb Das; Mary Ryngaert; Sandra Sullivan; Jeffrey Roth
Journal:  Matern Child Health J       Date:  2013-12

10.  Preschoolers' delay of gratification predicts their body mass 30 years later.

Authors:  Tanya R Schlam; Nicole L Wilson; Yuichi Shoda; Walter Mischel; Ozlem Ayduk
Journal:  J Pediatr       Date:  2012-08-18       Impact factor: 4.406

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.