Biases in self-reported height and weight measurements and their effects on modeling health outcomes

Dados Bibliográficos

ID15741908
AutoresCarmen D Ng (0000-0001-9453-7818, Emory University, autor correspondente)
Ano2019
Volume7
Páginas100405-100405
Data de publicação2019-04-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSSM - Population Health (JOURNAL)
Identificadores do periódicoISSN: 2352-8273 • E-ISSN: 2352-8273
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.ssmph.2019.100405
PMID31193386
OpenAlexW2944761142
IdiomaEN
Citações recebidas11
Referências citadas25

Self-reported anthropometrics are often used as proxies for measured anthropometrics, but research has shown that heights and weights are often misreported. Using the Study on global AGEing and adult health, I analyze misreporting patterns of height, weight, and BMI in China, India, Russia, and South Africa. Adjustments of self-reported heights and weights using demographic, social, and anthropometric characteristics are evaluated and found to be useful in studying the distribution of anthropometrics within a population. Measured, self-reported, and adjusted BMI are then compared in logistic regression models on the reporting of health outcomes, as well as the resulting accuracy of individual prediction. When BMI is used as a continuous variable in models of health outcomes, measured, self-reported, and adjusted BMI produce similar coefficient estimates, and so self-reported data would be a natural choice because of its accessibility and convenience. In other applications, such as models using categorical BMI and individual prediction using either continuous or categorical BMI, self-reported data in lieu of measured data might not be accurate enough, but adjustments could serve as a potential compromise

Anthropometry · Body mass index · Categorical variable · Continuous variable · Logistic regression · Regression analysis · Statistics · Body Composition Measurement Techniques · Demography · Mathematics · Medicine · Nutrition and Health in Aging · Obesity, Physical Activity, Diet · Psychology