title: Biomarker-predicted sugars intake compared with self-reported measures in US Hispanics/Latinos: results from the HCHS/SOL SOLNAS study.
abstract: Measurement error in self-reported total sugars intake may obscure associations between sugars consumption and health outcomes, and the sum of 24 h urinary sucrose and fructose may serve as a predictive biomarker of total sugars intake.
  
  
  
  The Study of Latinos: Nutrition & Physical Activity Assessment Study (SOLNAS) was an ancillary study to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) cohort. Doubly labelled water and 24 h urinary sucrose and fructose were used as biomarkers of energy and sugars intake, respectively. Participants' diets were assessed by up to three 24 h recalls (88 % had two or more recalls). Procedures were repeated approximately 6 months after the initial visit among a subset of ninety-six participants.
  
  
  
  Four centres (Bronx, NY; Chicago, IL; Miami, FL; San Diego, CA) across the USA.
  
  
  
  Men and women (n 477) aged 18-74 years.
  
  
  
  The geometric mean of total sugars was 167·5 (95 % CI 154·4, 181·7) g/d for the biomarker-predicted and 90·6 (95 % CI 87·6, 93·6) g/d for the self-reported total sugars intake. Self-reported total sugars intake was not correlated with biomarker-predicted sugars intake (r=-0·06, P=0·20, n 450). Among the reliability sample (n 90), the reproducibility coefficient was 0·59 for biomarker-predicted and 0·20 for self-reported total sugars intake.
  
  
  
  Possible explanations for the lack of association between biomarker-predicted and self-reported sugars intake include measurement error in self-reported diet, high intra-individual variability in sugars intake, and/or urinary sucrose and fructose may not be a suitable proxy for total sugars intake in this study population.
authors.affiliation: 1Department of Medicine,NYU School of Medicine,550 First Avenue,OBV-CD 673,New York,NY 10016,USA.
authors.forename: J M
authors.initials: JM
authors.lastname: Beasley
authors.affiliation: 2Department of Epidemiology,Johns Hopkins School of Public Health,Baltimore,MD,USA.
authors.forename: M
authors.initials: M
authors.lastname: Jung
authors.affiliation: 3School of Nutrition and Health Promotion,Arizona State University,Phoenix,AZ,USA.
authors.forename: N
authors.initials: N
authors.lastname: Tasevska
authors.affiliation: 4US Department of Agriculture/Agricultural Research Service Children's Nutrition Research Center,Department of Pediatrics,Baylor College of Medicine,Houston,TX,USA.
authors.forename: W W
authors.initials: WW
authors.lastname: Wong
authors.affiliation: 5Departments of Epidemiology and Nutrition,Gillings School of Global Public Health,University of North Carolina at Chapel Hill,Chapel Hill,NC,USA.
authors.forename: A M
authors.initials: AM
authors.lastname: Siega-Riz
authors.affiliation: 6Collaborative Studies Coordinating Center,Department of Biostatistics,Gillings School of Global Public Health,University of North Carolina at Chapel Hill,Chapel Hill,NC,USA.
authors.forename: D
authors.initials: D
authors.lastname: Sotres-Alvarez
authors.affiliation: 7Department of Psychology,Behavioral Medicine Research Center,University of Miami Miller School of Medicine,Miami,FL,USA.
authors.forename: M D
authors.initials: MD
authors.lastname: Gellman
authors.affiliation: 8Department of Epidemiology and Population Health,Albert Einstein College of Medicine,Bronx,NY,USA.
authors.forename: J R
authors.initials: JR
authors.lastname: Kizer
authors.affiliation: 9Department of Biostatistics and Epidemiology,University of Pennsylvania Perelman School of Medicine,Philadelphia,PA,USA.
authors.forename: P A
authors.initials: PA
authors.lastname: Shaw
authors.affiliation: 10Department of Preventive Medicine,Northwestern University Feinberg School of Medicine,Chicago,IL,USA.
authors.forename: J
authors.initials: J
authors.lastname: Stamler
authors.affiliation: 11Department of Public Health Sciences,University of Miami Miller School of Medicine,Miami,FL,USA.
authors.forename: M
authors.initials: M
authors.lastname: Stoutenberg
authors.affiliation: 10Department of Preventive Medicine,Northwestern University Feinberg School of Medicine,Chicago,IL,USA.
authors.forename: L
authors.initials: L
authors.lastname: Van Horn
authors.affiliation: 12University of Hawaii Cancer Center,Honolulu,HI,USA.
authors.forename: A A
authors.initials: AA
authors.lastname: Franke
authors.affiliation: 8Department of Epidemiology and Population Health,Albert Einstein College of Medicine,Bronx,NY,USA.
authors.forename: J
authors.initials: J
authors.lastname: Wylie-Rosett
authors.affiliation: 8Department of Epidemiology and Population Health,Albert Einstein College of Medicine,Bronx,NY,USA.
authors.forename: Y
authors.initials: Y
authors.lastname: Mossavar-Rahmani
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000652:urine; D004034:Diet Surveys; D019422:Dietary Sucrose / Q000008:administration & dosage* / Q000652:urine; D002149:Energy Intake; D005260:Female; D005632:Fructose / Q000652:urine; D006630:Hispanic or Latino; D006801:Humans; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D057566:Self Report; D000073893:Sugars / Q000008:administration & dosage*; D014481:United States; D055815:Young Adult
chemical_list: D015415:Biomarkers; D019422:Dietary Sucrose; D000073893:Sugars; D005632:Fructose
keywords: Doubly labelled water; Hispanics/Latinos; Self-report; Sugars; Urinary sucrose and fructose biomarkers