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

Citation

Mossavar-Rahmani, Yasmin; Shaw, Pamela A.; Wong, William Wai-Lun; Sotres-Alvarez, Daniela T.; Gellman, Marc D.; Van Horn, Linda V.; Stoutenberg, Mark; Daviglus, Martha L.; Wylie-Rosett, Judith; & Siega-Riz, Anna Maria, et al. (2015). Applying Recovery Biomarkers to Calibrate Self-Report Measures of Energy and Protein in the Hispanic Community Health Study/Study of Latinos. American Journal of Epidemiology, 181(12), 996-1007. PMCID: PMC4462334

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.

URL

http://dx.doi.org/10.1093/aje/kwu468

Reference Type

Journal Article

Year Published

2015

Journal Title

American Journal of Epidemiology

Author(s)

Mossavar-Rahmani, Yasmin
Shaw, Pamela A.
Wong, William Wai-Lun
Sotres-Alvarez, Daniela T.
Gellman, Marc D.
Van Horn, Linda V.
Stoutenberg, Mark
Daviglus, Martha L.
Wylie-Rosett, Judith
Siega-Riz, Anna Maria
Ou, Fang-Shu
Prentice, Ross L.

PMCID

PMC4462334

ORCiD

Siega-Riz - 0000-0002-1303-4248
Sotres-Alvarez - 0000-0002-3226-6140