Food variety and dietary diversity scores in children: are they good indicators of dietary adequacy?

OBJECTIVE: To assess whether a food variety score (FVS) and/or a dietary diversity score (DDS) are good indicators of nutrient adequacy of the diet of South African children. METHODS: Secondary data analyses were undertaken with nationally representative data of 1-8-year-old children (n = 2200) studied in the National Food Consumption Study in 1999. An average FVS (mean number of different food items consumed from all possible items eaten) and DDS (mean number of food groups out of nine possible groups) were calculated. A nutrient adequacy ratio (NAR) is the ratio of a subject's nutrient intake to the estimated average requirement calculated using the Food and Agriculture Organization/World Health Organization (2002) recommended nutrient intakes for children. The mean adequacy ratio (MAR) was calculated as the sum of NARs for all evaluated nutrients divided by the number of nutrients evaluated, expressed as a percentage. MAR was used as a composite indicator for micronutrient adequacy. Pearson correlation coefficients between FVS, DDS and MAR were calculated and also evaluated for sensitivity and specificity, with MAR taken as the ideal standard of adequate intake. The relationships between MAR and DDS and between anthropometric Z-scores and DDS were also evaluated. RESULTS: The children had a mean FVS of 5.5 (standard deviation (SD) 2.5) and a mean DDS of 3.6 (SD 1.4). The mean MAR (ideal = 100%) was 50%, and was lowest (45%) in the 7-8-year-old group. The items with the highest frequency of consumption were from the cereal, roots and tuber group (99.6%), followed by the 'other group' (87.6%) comprising items such as tea, sugar, jam and sweets. The dairy group was consumed by 55.8%, meat group by 54.1%, fats by 38.9%, other vegetables by 30.8%, vitamin-A-rich by 23.8%, other fruit by 22%, legumes and nuts by 19.7% and eggs by 13.3%. There was a high correlation between MAR and both FVS (r = 0.726; P < 0.0001) and DDS (r = 0.657; P < 0.0001), indicating that either FVS or DDS can be used as an indicator of the micronutrient adequacy of the diet. Furthermore, MAR, DDS and FVS showed significant correlations with height-for-age and weight-for-age Z-scores, indicating a strong relationship between dietary diversity and indicators of child growth. A DDS of 4 and an FVS of 6 were shown to be the best indicators of MAR less than 50%, since they provided the best sensitivity and specificity. CONCLUSION: Either FVS or DDS can be used as a simple and quick indicator of the micronutrient adequacy of the diet.

The belief-bias effect in the production and evaluation of logical conclusions.

In this study, we examined whether adult subjects' beliefs regarding the empirical truth of a conclusion affected their production as well as their evaluation of a logical conclusion in a reasoning task. In addition, the relation between the ability to resolve an abstract reasoning problem correctly and the effect of belief-bias was examined. The subjects were given one of four paper-and-pencil reasoning tasks, two of them using an evaluation paradigm, and two of them using a production paradigm. Each paradigm comprised either neutral problems or belief problems. The neutral problems were constructed to be as similar as possible to the belief problems, in order to control for extraneous factors. All four tasks also included an abstract reasoning problem. The results indicate a significant belief-bias effect for both the evaluation and the production tasks. Qualitative analysis indicated that the belief-bias effect was more pervasive in the production condition. In addition, the belief-bias effect was found to exist independently of the subjects' abstract reasoning ability. The results are discussed with reference to a two-stage model, in which belief is used to resolve uncertainties in inferentially produced conclusions.

Partial purification of a lipolytic enzyme from Escherichia coli.

An enzyme with phospholipase Al activity was purified some 500-fold from Escherichia coli cell homogenates. Lipase, phospholipase A2, and lysophospholipase copurified with phospholipase A1 and the four activities displayed similar susceptibility to heat treatment. The phospholipase A and lipase activities were recovered in a single band when partially purified preparations were subjected to SDS gel electrophoresis. Phospholipase, lysophospholipase, and lipase all required Ca2+ for activity. Phosphatidylcholine, phosphatidylethanolamine, and their lyso analogues were all hydrolysed at equivalent rates and these were substantially greater than the rate of methylpalmitate or tripalmitoylglycerol hydrolyses under similar incubation conditions. Evidence for a direct but slow hydrolysis of the ester at position 2 of phosphoglyceride was obtained; however, release of fatty acid from this position is mostly indirect involving acyl migration to position 1 and subsequent release of the translocated fatty acid. Escherichia coli, therefore, appears to possess a lipolytic enzyme of broad substrate specificity acting mainly at position 1 but also at position 2 of phosphoglycerides and on triacylglycerols and methyl fatty-acid esters.

The lipase activity of a partially purified lipolytic enzyme of Escherichia coli.

Escherichia coli lipase was found to have a broad pH optimum between pH 8 and 10. Long-chain acyl triacylglycerols such as trioleolglycerol were hydrolysed at a relatively slow rate, whereas, the shorter-chain acyl derivative tracapryloylglycerol was not. Triacylglycerols and diacylglycerols were broken down at a rate 10 to 15 fold greater than that for monoacylglycerol. Simple esters such as methyloleate and cetylpalmitate were hydrolysed at rates greater than that of triacyglycerol. Water-soluble esters such as p-nitrophenylacetate were not attacked. Hydrolysis of lipase substrate occurred more readily in the presence of an anionic detergent such as taurocholate. The enzyme had no marked preference for the 1- or 3-position of triacylglycerols but attacked these positions much more readily than position 2. The enzyme also catalyzed transacylation reaction with simple alcohols such as methanol or ethanol.