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The reliability of in-home measures of height and weight in large cohort studies

Evidence from Add Health

Bibliographic Data

ID2636940
AuthorsJon M Hussey (0000-0003-1799-9845, University of North Carolina at Chapel Hill, corresponding author), Jon Hussey, Quynh C Nguyen (0000-0003-4745-6681, University of North Carolina at Chapel Hill), Eric A Whitsel (0000-0003-4843-3641, University of North Carolina at Chapel Hill), Liana J Richardson (0000-0001-8848-4182, University of North Carolina at Chapel Hill), Carolyn T Halpern (0000-0003-4278-5646, University of North Carolina at Chapel Hill), Penny Gordon‐larsen (0000-0001-5322-4188, University of North Carolina at Chapel Hill), Penny Gordon-Larsen, Joyce W Tabor (University of North Carolina at Chapel Hill), Pamela P Entzel, Pamela Entzel (Durham VA Medical Center), Kathleen Mullan Harris (0000-0001-9757-1026, University of North Carolina at Chapel Hill), Kathleen Harris
Year2015
Volume32
Pages1081-1098
Publication date2015-05-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDemographic Research (JOURNAL)
Journal identifiersISSN: 1435-9871 • E-ISSN: 2363-7064
PublisherMax Planck Institute for Demographic Research (PUBLISHER • DE)
DOI10.4054/demres.2015.32.39
PMID26146486
OpenAlexW2100348298
LanguageEN
Citations received5
References cited16

BACKGROUND: With the emergence of obesity as a global health issue an increasing number of major demographic surveys are collecting measured anthropometric data. Yet little is known about the characteristics and reliability of these data. OBJECTIVES: We evaluate the accuracy and reliability of anthropometric data collected in the home during Wave IV of the National Longitudinal Study of Adolescent to Adult Health (Add Health), compare our estimates to national standard, clinic-based estimates from the National Health and Nutrition Examination Survey (NHANES) and, using both sources, provide a detailed anthropometric description of young adults in the United States. METHODS: The reliability of Add Health in-home anthropometric measures was estimated from repeat examinations of a random subsample of study participants. A digit preference analysis evaluated the quality of anthropometric data recorded by field interviewers. The adjusted odds of obesity and central obesity in Add Health vs. NHANES were estimated with logistic regression. RESULTS: )-were excellent. Prevalence of obesity (37% vs. 29%) and central obesity (47% vs. 38%) was higher in Add Health than in NHANES while socio-demographic patterns of obesity and central obesity were comparable in the two studies. CONCLUSIONS: Properly trained non-medical field interviewers can collect reliable anthropometric data in a nationwide, home visit study. This national cohort of young adults in the United States faces a high risk of early-onset chronic disease and premature mortality

Anthropometry · Body mass index · Cohort · Cohort study · Environmental health · Logistic regression · National Health and Nutrition Examination Survey · Obesity · Odds · Population · Waist · Waist-to-height ratio · Body Composition Measurement Techniques · Demography · Medicine · Obesity, Physical Activity, Diet · Physical Activity and Health · Gerontology

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Unique citing works5
Citations per year0.56
Citation span2017 - 2024 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 5

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