Objective
To compare self-reported and measured energy intake in weight-restored patients with anorexia nervosa (AN), weight-stable obese individuals (OB), and normal weight controls (NC).
Method
Forty participants (18 AN, 10 OB, and 12 NC) in a laboratory meal study simultaneously completed a prospective food record.
Results
AN patients significantly (p = .018) over-reported energy intake (16%, 50 kcal) and Bland-Altman (B-A) analysis indicated bias toward over-reporting at increasing levels of intake. OB participants significantly (p = .016) under-reported intake (19%, 160 kcal) and B-A analysis indicated bias toward under-reporting at increasing levels of intake. In NC participants, NS (p = .752) difference between reported and measured intake was found and B-A analysis indicated good agreement between methods at all intake levels.
Discussion
Self-reported intake should be cautiously interpreted in AN and OB. Future studies are warranted to determine if over-reporting is related to poor outcome and relapse in AN, or under-reporting interferes with weight loss efforts in OB.
The reproducibility of repeated single-voxel 1 H MRS (SV-MRS) and spectroscopic imaging (MRSI) measurements of intramyocellular lipid (IMCL) in the tibialis anterior muscle of five lean and five overweight female Caucasians, during 7 days of controlled dietary fat and calorie intake, was assessed at 1.5 T. Duplicate measures of IMCL relative to total muscle creatine (IMCL/tCr) obtained 3 days apart by both SV-MRS and MRSI correlated well (r =0.65 and r =0.95, respectively, P <0.05). The coefficients of variation for repeated measures of IMCL/tCr by SV-MRS and MRSI were 24.4% and 10.7%, respectively. IMCL/tCr measured by MRSI was higher in overweight subjects than in lean subjects (8.3 ± 3.8 vs 4.3 ± 2.4, P <0.05). Although both methods achieved good reproducibility in measuring IMCL in vivo, MRSI was found to offer greater flexibility and reliability, and higher sensitivity to IMCL differences, whereas SV-MRS was advantageous with respect to shorter scan time and ease of implementation.
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