BACKGROUND: Reporting errors have been quantified in epidemiologic studies by comparing reported intakes with predicted energy requirements (pERs). Several studies lacking measures of physical activity level (PAL) assigned low-active levels to obtain pERs. OBJECTIVE: We applied objective physical activity measures to current methods to quantify dietary reporting errors and compared associations with anthropometric and dietary variables among plausible and implausible reporters. DESIGN: This study included 2868 adolescents with an average age of 13 y. Three-day dietary records, accelerometers, and dual-energy X-ray absorptiometry were used to assess diet, activity, and body composition, respectively. Three variations of physical activity coefficients were used: 1) assigning low physical activity coefficients (PA(low)), 2) calculating PAL values (PA(PAL)), and 3) applying minutes of moderate-to-vigorous physical activity (PA(MVPA)). RESULTS: Of the total participants, 51.5%, 51.8%, and 37.1% of the PA(low), PA(PAL), and PA(MVPA) groups, respectively, were classified as underreporters, and 40.8%, 37.9%, and 42.4% of the respective groups were classified as plausible reporters. Underreporters had a higher body mass index, body fat, and waist circumference than did plausible reporters (P < 0.001 for all). Overreporters had a lower weight and body fat than did plausible reporters (P < 0.001 for all). Underreporters reported lower dairy and calcium intakes than did plausible reporters; the results were attenuated with adjustment for total energy. CONCLUSION: Accounting for objective physical activity measures to quantify reporting errors resulted in different and potentially more reasonable proportions of implausible reporters.
BACKGROUND: Reporting errors have been quantified in epidemiologic studies by comparing reported intakes with predicted energy requirements (pERs). Several studies lacking measures of physical activity level (PAL) assigned low-active levels to obtain pERs. OBJECTIVE: We applied objective physical activity measures to current methods to quantify dietary reporting errors and compared associations with anthropometric and dietary variables among plausible and implausible reporters. DESIGN: This study included 2868 adolescents with an average age of 13 y. Three-day dietary records, accelerometers, and dual-energy X-ray absorptiometry were used to assess diet, activity, and body composition, respectively. Three variations of physical activity coefficients were used: 1) assigning low physical activity coefficients (PA(low)), 2) calculating PAL values (PA(PAL)), and 3) applying minutes of moderate-to-vigorous physical activity (PA(MVPA)). RESULTS: Of the total participants, 51.5%, 51.8%, and 37.1% of the PA(low), PA(PAL), and PA(MVPA) groups, respectively, were classified as underreporters, and 40.8%, 37.9%, and 42.4% of the respective groups were classified as plausible reporters. Underreporters had a higher body mass index, body fat, and waist circumference than did plausible reporters (P < 0.001 for all). Overreporters had a lower weight and body fat than did plausible reporters (P < 0.001 for all). Underreporters reported lower dairy and calcium intakes than did plausible reporters; the results were attenuated with adjustment for total energy. CONCLUSION: Accounting for objective physical activity measures to quantify reporting errors resulted in different and potentially more reasonable proportions of implausible reporters.
Authors: Calum Mattocks; Andy Ness; Sam Leary; Kate Tilling; Stephen N Blair; Julian Shield; Kevin Deere; Joanne Saunders; Joanne Kirkby; George Davey Smith; Jonathan Wells; Nicholas Wareham; John Reilly; Chris Riddoch Journal: J Phys Act Health Date: 2008
Authors: Mary T Kelly; Kirsten L Rennie; Julie M W Wallace; Paula J Robson; Robert W Welch; Mary P Hannon-Fletcher; M Barbara E Livingstone Journal: Br J Nutr Date: 2008-10-10 Impact factor: 3.718
Authors: Andy R Ness; Sam D Leary; Calum Mattocks; Steven N Blair; John J Reilly; Jonathan Wells; Sue Ingle; Kate Tilling; George Davey Smith; Chris Riddoch Journal: PLoS Med Date: 2007-03 Impact factor: 11.069
Authors: Anja Biltoft-Jensen; Mads F Hjorth; Ellen Trolle; Tue Christensen; Per B Brockhoff; Lene F Andersen; Inge Tetens; Jeppe Matthiessen Journal: Food Nutr Res Date: 2013-12-17 Impact factor: 3.894
Authors: Sherman J Bigornia; Michael P LaValley; Lynn L Moore; Kate Northstone; Pauline Emmett; Andy R Ness; P K Newby Journal: J Nutr Date: 2014-04-17 Impact factor: 4.798