Literature DB >> 16800200

How valid are self-reported height and weight? A comparison between CATI self-report and clinic measurements using a large cohort study.

Anne W Taylor1, Eleonora Dal Grande, Tiffany K Gill, Catherine R Chittleborough, David H Wilson, Robert J Adams, Janet F Grant, Patrick Phillips, Sarah Appleton, Richard E Ruffin.   

Abstract

OBJECTIVE: To examine the relationship between self-reported and clinical measurements for height and weight in adults aged 18 years and over and to determine the bias associated with using household telephone surveys.
METHOD: A representative population sample of adults aged 18 years and over living in the north-west region of Adelaide (n = 1,537) were recruited to the biomedical cohort study in 2002/03. A computer-assisted telephone interviewing (CATI) system was used to collect self-reported height and weight. Clinical measures were obtained when the cohort study participants attended a clinic for biomedical tests. RESULT: Adults over-estimated their height (by 1.4 cm) and under-estimated their weight (by 1.7 kg). Using the self-report figures the prevalence of overweight/ obese was 56.0% but this prevalence estimate increased to 65.3% when clinical measurements were used. The discrepancy in self-reported height and weight is partly explained by 1) a rounding effect (rounding height and weight to the nearest 0 or 5) and 2) older persons (65+ years) considerably over-estimating their height.
CONCLUSION: Self-report is important in monitoring overweight and obesity; however, it must be recognised that prevalence estimates obtained are likely to understate the problem. IMPLICATIONS: The public health focus on obesity is warranted, but self-report estimates, commonly used to highlight the obesity epidemic, are likely to be underestimations. Self-report would be a more reliable measure if people did not round their measurements and if older persons more accurately knew their height.

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Year:  2006        PMID: 16800200     DOI: 10.1111/j.1467-842x.2006.tb00864.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  70 in total

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4.  Racial/ethnic differences in the association between obesity and major depressive disorder: findings from the Comprehensive Psychiatric Epidemiology Surveys.

Authors:  Amelia R Gavin; Tessa Rue; David Takeuchi
Journal:  Public Health Rep       Date:  2010 Sep-Oct       Impact factor: 2.792

5.  Race by Gender Group Differences in the Protective Effects of Socioeconomic Factors Against Sustained Health Problems Across Five Domains.

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7.  Comparisons of Self-Reported and Measured Height and Weight, BMI, and Obesity Prevalence from National Surveys: 1999-2016.

Authors:  Katherine M Flegal; Cynthia L Ogden; Cheryl Fryar; Joseph Afful; Richard Klein; David T Huang
Journal:  Obesity (Silver Spring)       Date:  2019-10       Impact factor: 5.002

8.  Overweight and obesity among African immigrants in Oslo.

Authors:  Abdi A Gele; Aneth J Mbalilaki
Journal:  BMC Res Notes       Date:  2013-03-26

9.  Gender-specific epidemiology of diabetes: a representative cross-sectional study.

Authors:  Janet F Grant; Neville Hicks; Anne W Taylor; Catherine R Chittleborough; Patrick J Phillips
Journal:  Int J Equity Health       Date:  2009-03-11

10.  Validity of self-reported weight, height, and body mass index among university students in Thailand: Implications for population studies of obesity in developing countries.

Authors:  Lynette Ly Lim; Sam-Ang Seubsman; Adrian Sleigh
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