BACKGROUND/ OBJECTIVES: The orally administered para-amino benzoic acid (PABA) is known to have near 100% excretion in urine and is used as a measure of 24-h urine collection completeness (referred to as PABAcheck). The purpose was to examine the effect of including urine collections deemed incomplete based on PABAcheck in a dietary measurement error study. SUBJECTS/ METHODS: The Observing Protein and Energy Nutrition (OPEN) study was conducted in 1999-2000 and included 484 men and women aged 40-69 years. A food frequency questionnaire and 24-h dietary recalls were evaluated using recovery biomarkers that included urinary nitrogen and potassium from two 24-h urine collections. Statistical modeling determined the measurement error properties of dietary assessment instruments. In the original analyses, PABAcheck was used as a measure of complete urine collection; incomplete collections were either excluded or adjusted to acceptable levels. The OPEN data were reanalyzed including all urine collections and by using criteria based on self-reported missing voids to assess the differences. RESULTS: Means and coefficients of variation for biomarker-based protein and potassium intakes, and measurement error model-based correlations and attenuation factors were similar regardless of whether PABAcheck or missed voids were considered. CONCLUSION: PABAcheck may not be required in large population-based biomarker studies. However, until there are more analyses evaluating the necessity of a PABAcheck, it is recommended that PABA be given to all participants, but not necessarily analyzed. Then, PABAcheck could be used selectively as a marker of completeness among the collections in which low levels of biomarker are detected or for which noncompliance is suspected.
BACKGROUND/ OBJECTIVES: The orally administered para-amino benzoic acid (PABA) is known to have near 100% excretion in urine and is used as a measure of 24-h urine collection completeness (referred to as PABAcheck). The purpose was to examine the effect of including urine collections deemed incomplete based on PABAcheck in a dietary measurement error study. SUBJECTS/ METHODS: The Observing Protein and Energy Nutrition (OPEN) study was conducted in 1999-2000 and included 484 men and women aged 40-69 years. A food frequency questionnaire and 24-h dietary recalls were evaluated using recovery biomarkers that included urinary nitrogen and potassium from two 24-h urine collections. Statistical modeling determined the measurement error properties of dietary assessment instruments. In the original analyses, PABAcheck was used as a measure of complete urine collection; incomplete collections were either excluded or adjusted to acceptable levels. The OPEN data were reanalyzed including all urine collections and by using criteria based on self-reported missing voids to assess the differences. RESULTS: Means and coefficients of variation for biomarker-based protein and potassium intakes, and measurement error model-based correlations and attenuation factors were similar regardless of whether PABAcheck or missed voids were considered. CONCLUSION:PABAcheck may not be required in large population-based biomarker studies. However, until there are more analyses evaluating the necessity of a PABAcheck, it is recommended that PABA be given to all participants, but not necessarily analyzed. Then, PABAcheck could be used selectively as a marker of completeness among the collections in which low levels of biomarker are detected or for which noncompliance is suspected.
Authors: Laurence S Freedman; John M Commins; James E Moler; Lenore Arab; David J Baer; Victor Kipnis; Douglas Midthune; Alanna J Moshfegh; Marian L Neuhouser; Ross L Prentice; Arthur Schatzkin; Donna Spiegelman; Amy F Subar; Lesley F Tinker; Walter Willett Journal: Am J Epidemiol Date: 2014-06-10 Impact factor: 4.897
Authors: Ana L Terry; Mary E Cogswell; Chia-Yih Wang; Te-Ching Chen; Catherine M Loria; Jacqueline D Wright; Xinli Zhang; David A Lacher; Robert K Merritt; Barbara A Bowman Journal: Am J Clin Nutr Date: 2016-07-13 Impact factor: 7.045
Authors: Laurence S Freedman; John M Commins; James E Moler; Walter Willett; Lesley F Tinker; Amy F Subar; Donna Spiegelman; Donna Rhodes; Nancy Potischman; Marian L Neuhouser; Alanna J Moshfegh; Victor Kipnis; Lenore Arab; Ross L Prentice Journal: Am J Epidemiol Date: 2015-03-18 Impact factor: 4.897
Authors: Laurence S Freedman; Douglas Midthune; Raymond J Carroll; John M Commins; Lenore Arab; David J Baer; James E Moler; Alanna J Moshfegh; Marian L Neuhouser; Ross L Prentice; Donna Rhodes; Donna Spiegelman; Amy F Subar; Lesley F Tinker; Walter Willett; Victor Kipnis Journal: Epidemiology Date: 2015-11 Impact factor: 4.822
Authors: Yikyung Park; Kevin W Dodd; Victor Kipnis; Frances E Thompson; Nancy Potischman; Dale A Schoeller; David J Baer; Douglas Midthune; Richard P Troiano; Heather Bowles; Amy F Subar Journal: Am J Clin Nutr Date: 2018-01-01 Impact factor: 7.045
Authors: Amy L Korth; Surabhi Bhutani; Marian L Neuhouser; Shirley A Beresford; Linda Snetselaar; Lesley F Tinker; Dale A Schoeller Journal: J Nutr Date: 2020-05-01 Impact factor: 4.798
Authors: Katherine A John; Mary E Cogswell; Norm R Campbell; Caryl A Nowson; Branka Legetic; Anselm J M Hennis; Sheena M Patel Journal: J Clin Hypertens (Greenwich) Date: 2016-01-03 Impact factor: 3.738
Authors: Mary E Cogswell; Joyce Maalouf; Paul Elliott; Catherine M Loria; Sheena Patel; Barbara A Bowman Journal: Annu Rev Nutr Date: 2015-05-06 Impact factor: 11.848