Premium
Recalls, Records, and “Random” error: A comparison of estimates of daily energy intake variation by commonly used dietary intake methodologies
Author(s) -
Jahns Lisa,
Sieber Jessica,
Carriquiry Alicia
Publication year - 2008
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.22.1_supplement.868.14
Subject(s) - overweight , population , medicine , zoology , demography , food intake , homogeneity (statistics) , statistics , mathematics , biology , environmental health , obesity , sociology
Objective: To compare estimates of within‐ (WIV) and between‐(BIV) individual variance (also reported as coefficients of variation) and ratios of WIV/BIV in energy intake using different dietary intake techniques and number of days of collection. Methods: Random effects models were used to calculate WIV and BIV and estimated coefficients of variation (CVw, CVb) in energy intake using 7 day food records (7FR) (n = 105), 2 day food records (2FR) (random sample of 1 weekend, 1 weekday) from the same sample, and 2 day 24HR from NHANES 2003–04 data (n = 486) (2‐24HR) in 18–19 females (F) and males (M). Results: Overall, CVw was greatest among M (n = 220) and F (n = 266) in 2–24HR NHANES data (37.5, 33.7%, respectively) compared to 2FR (M, 31.4, F, 30.9%) and 7FR (M, 29.0, F, 31.7%). CVb was lowest in the 2FR for both M and F. Ratios of WIV/BIV was greatest among F 2FR (2.8) followed by F 7FR (1.9), M 2–24HR (1.4) M 2FR (1.4), M 7FR (1.2), and F 2–24HR (1.1). Conclusion: The larger CVw found in the NHANES data is to be expected as the FR samples were collected on a university campus with more homogeneity in eating options than those available to the NHANES population. The relationship between energy intake and overweight or other nutrition‐related non‐communicable diseases may be difficult to detect in observational studies such as these when the WIV/BIV ratio exceeds unity.