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Applying Recovery Biomarkers to Calibrate Self-Report Measures of Energy and Protein in the Hispanic Community Health Study/Study of Latinos.

TitleApplying Recovery Biomarkers to Calibrate Self-Report Measures of Energy and Protein in the Hispanic Community Health Study/Study of Latinos.
Publication TypePublication
Year2015
AuthorsMossavar-Rahmani Y, Shaw PA, Wong WW, Sotres-Alvarez D, Gellman MD, Van Horn L, Stoutenberg M, Daviglus ML, Wylie-Rosett J, Siega-Riz AMaria, Ou F-S, Prentice RL
JournalAm J Epidemiol
Volume181
Issue12
Pagination996-1007
Date Published2015 Jun 15
ISSN1476-6256
KeywordsAdolescent, Adult, Aged, bias, Biomarkers, Diet Surveys, Dietary Proteins, Energy Intake, Female, Follow-Up Studies, Hispanic Americans, Humans, Linear Models, Male, Middle Aged, Multivariate Analysis, Nitrogen, Self Report, United States, Young Adult
Abstract

We investigated measurement error in the self-reported diets of US Hispanics/Latinos, who are prone to obesity and related comorbidities, by background (Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American) in 2010-2012. In 477 participants aged 18-74 years, doubly labeled water and urinary nitrogen were used as objective recovery biomarkers of energy and protein intakes. Self-report was captured from two 24-hour dietary recalls. All measures were repeated in a subsample of 98 individuals. We examined the bias of dietary recalls and their associations with participant characteristics using generalized estimating equations. Energy intake was underestimated by 25.3% (men, 21.8%; women, 27.3%), and protein intake was underestimated by 18.5% (men, 14.7%; women, 20.7%). Protein density was overestimated by 10.7% (men, 11.3%; women, 10.1%). Higher body mass index and Hispanic/Latino background were associated with underestimation of energy (P<0.05). For protein intake, higher body mass index, older age, nonsmoking, Spanish speaking, and Hispanic/Latino background were associated with underestimation (P<0.05). Systematic underreporting of energy and protein intakes and overreporting of protein density were found to vary significantly by Hispanic/Latino background. We developed calibration equations that correct for subject-specific error in reporting that can be used to reduce bias in diet-disease association studies.

DOI10.1093/aje/kwu468
Alternate JournalAm J Epidemiol
PubMed ID25995289
PubMed Central IDPMC4462334
Grant ListKL2 TR000461 / TR / NCATS NIH HHS / United States
P01 CA053996 / CA / NCI NIH HHS / United States
N01HC65236 / HL / NHLBI NIH HHS / United States
N01HC65235 / HL / NHLBI NIH HHS / United States
N01-HC65237 / HC / NHLBI NIH HHS / United States
N01HC65234 / HL / NHLBI NIH HHS / United States
N01HC65233 / HL / NHLBI NIH HHS / United States
CA53996 / CA / NCI NIH HHS / United States
N01HC65237 / HL / NHLBI NIH HHS / United States
R01 HL095856 / HL / NHLBI NIH HHS / United States
R01 CA119171 / CA / NCI NIH HHS / United States
N01-HC65233 / HC / NHLBI NIH HHS / United States
UL1 TR001073 / TR / NCATS NIH HHS / United States
N01-HC65234 / HC / NHLBI NIH HHS / United States
11414319-R01HL095856 / HL / NHLBI NIH HHS / United States
P2C HD050924 / HD / NICHD NIH HHS / United States
N01-HC65235 / HC / NHLBI NIH HHS / United States
MS#: 
0113
Manuscript Lead/Corresponding Author Affiliation: 
Field Center: Bronx (Einstein College of Medicine)
ECI: 
Manuscript Status: 
Published