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BACKGROUND: As part of a study on the effects of a fat-supplemented phenylalanine (phe)-free protein substitute on the fatty acid status of children with phenylketonuria (PKU), the adequacy of the diets of children aged 1-10 years for fat and essential fatty acids (EFA) was assessed. METHODS: Subjects randomized in a 1 : 1 ratio to a phe-free protein substitute supplemented with EFA (test-treatment group) or a phe-free, fat-free protein substitute (control group) for 20 weeks. 3-day semi-weighed records of food intakes collected at the end of the study period. RESULTS: Total fat and alpha-linolenic acid (alpha-LA) intakes were found to be poor in the control group (n = 19). Those in the test-treatment group (n = 24) had higher fat and EFA intakes (P < 0.05), bringing intakes closer to population norms. The youngest children (<5 years of age) in the control group appeared to be especially vulnerable to poor fat intakes because of the restricted diversity of their diets and, regardless of age, alpha-LA intakes by this group were poor compared with the non-PKU population. CONCLUSIONS: The quantity and quality of fat in the diets of children with PKU, in particular young children, should be given careful consideration in trying to optimize the ratio of linoleic acid: alpha-LA in their diets and in satisfying the requirements of this group for fat and alpha-LA. [ABSTRACT FROM AUTHOR]

Background: Assessment of high-risk drinking in the general population can be problematic: questionnaire-based instruments may carry the problem of random or systematic recall bias, and the effectiveness of screening of single biomarkers has been shown to be insufficient. In this article, we analyze the alcohol intake/biomarker relationship of carbohydrate-deficient transferrin (CDT), gamma-glutamyltransferase (GGT), and erythrocyte mean corpuscular volume (MCV). Specific aims were (1) screening effectiveness comparison of GGT, CDT, and MCV in terms of sensitivity, specificity, and positive (PPVs) and negative predictive values (NPVs) and the effect of covariates on these measures; (2) the comparison of summary measures for the effectiveness of screening: the receiver characteristic curve (ROC) and the area under the ROC; and (3) to answer the question of which covariates effect which biomarkers and whether accounting for relevant covariates increases the prognostic value of biomarkers to levels that allow for application in the general population., Methods: In a representative cross-sectional health survey in northeast Germany with data collection from 1997 to 2001, 4310 men and women were asked for their recent alcohol consumption and smoking. Biomarkers were analyzed from blood samples. The effectiveness of screening of CDT, GGT, and MCV for high-risk drinking (men: >60 g/day, women: >40 g/day) was analyzed with PPV and ROC curve analysis., Results: For all three biomarkers, PPVs for high-risk drinking are very low (< 50%). There are some effects of covariates on screening effectiveness and on PPV, and knowledge of these covariates increases screening effectiveness, but no subgroup that had a combination of covariate levels and prevalence of high-risk drinking that led to a PPV > 50% could be found., Conclusions: : Accounting for covariates in the screening procedure does not lead to a sufficient increase in PPV. Screening effectiveness of laboratory markers CDT, GGT, and MCV is insufficient for their application as screening tools for high-risk alcohol drinking in the general population. This was found using self-reported alcohol consumption as an imperfect gold standard, which is a limitation of the study, although self-reports are the standard instrument in comparable epidemiologic studies., (Copyright 2004 Research Society on Alcoholism)