3-,9- and 15-year-old children were studied in autumn in order to evaluate their serum 25-hydroxy-vitamin D (25-OH-D) concentration and their vitamin D intake. The 25-OH-D was significantly lower in the 15-year-old than in the other children, but it was satisfactory in all groups as compared to the 25-OH-D of healthy, young adults. The mean dietary vitamin D intake as well as the mean total vitamin D intake including supplements was low in all groups of children. With a vitamin D intake as low as in this study, every house-bound child would be at risk of vitamin D deficiency.
In connection with a survey of child nutrition in Finland the haemoglobin and heamatocrit values in childhood and the prevalence of anaemia were studied. The series consisted of 1534 children aged 5, 9 and 13 years. The haemoglobin concentrations in those age groups were 12.60 +/- 0.81, 13.24 +/- 0.77 and 13.64 +/- 0.77 and 13.64 +/- 0.90 g/100 ml, respectively. The haematocrit values were 38.0 +/- 2.53, 39.6 +/- 2.50 and 40.8 +/- 3.00%. In the total series, 3.0% of the Hb values and 4.8% of the PCV values were below the WHO norms. No difference was found between anaemic and non-anaemic children with respect to the mean daily intake of dietary iron or the intake of iron from the food group eggs, meat and fish in absolute amounts or per 1000 kcal. Anaemic 5-year-old children, however, obtained from this food group a significantly smaller percentage of their total dietary iron than the non-anaemic children of the same age.
In connection with a survey of child nutrition in Finland a study was carried out on the serum cholesterol concentration in childhood and its relationship to dietary and other variables. The material consisted of 1496 children ages 5, 9, and 13 years from 14 local districts in Finland. Total cholesterol was determined from nonfasted venous serum samples by a modification of the p-toluenesulfonic acid reaction. Food consumption was investigated by the 24-hr recall method and nutrient intakes determined from these results using food composition tables. For analysis, children in each age group were classified into low, medium, and high cholesterol groups. The serum cholesterol concentrations of the 5, 9, and 13 year olds were 6.03 +/- 1.03, 6.16 +/- 1.04, and 6.08 +/- 1.01 mmole/liter (233 +/- 40, 238 +/- 40, and 235 +/- 39 mg/100 ml), respectively. Of the children 10% had serum cholesterol concentrations of 7.4 mmole/liter (286 mg/100 ml) or more. Serum cholesterol concentration was not correlated with sex, relative body weight, or systolic or diastolic blood pressure. High cholesterol concentrations appeared to be associated with traditional dietary habits and especially with a high proportion of saturated fats in the diet.
The aim of the study was to evaluate and to compare the 24-hr recall method with the dietary history method as used in a food consumption survey of children. Information on the dietary intkake was obtained by 24-hour recall from 158 children and by the history method from 134. The interviews are repeated 7 months later. In addition, 741 children were interviewed by both methods on the same occasion. The repeatability of the results was analyzed both at the individual and at the group level. The correlation coefficients between the first and second interview in terms of the individual intakes of energy and nutrients were fairly low for both methods. At the group level the results of repeated 24-hr recalls were in good agreement. The dietary history method, however, gave significantly different mean intakes when repeated. The correlation coefficients between the values obtained by the 24-hr recall and the history method varied from 0.20 (vitamin A) to 0.50 (energy). The history method gave consistently higher mean values than the 24-hr recall. Neither of the methods can be considered suitable for the measurement of an individual child's dietary intake. The 24-hr recall is preferable for food consumption surveys of groups of children.
Under-reporting of food consumption is a recurrent challenge for nutrition surveys. Past research suggests that under-reporting tends to be most pronounced among overweight and obese people.
Data from 16,190 respondents to the 2004 Canadian Community Health Survey (CCHS 2.2)-Nutrition were used to estimate underreporting of food intake for the population aged 12 or older in the 10 provinces. Multiple linear regression models were used to assess the impact of different characteristics on underreporting.
Average under-reporting of energy intake was estimated at 10%. Under-reporting was greater among people who were overweight or obese, those who were physically active, adults compared with teenagers, and women compared with men.
Under-reporting of energy intake is not random and varies by key health determinants. Awareness of the characteristics associated with under-reporting is important for users of nutrition data from the CCHS 2.2.
Under-reporting is common in nutrition surveys. The identification of plausible respondents is a way of measuring the impact of under-reporting on the relationship between energy intake and body mass index (BMI).
A 24-hour dietary recall from 16,190 respondents aged 12 or older to the Canadian Community Health Survey (CCHS)--Nutrition was used to determine energy and nutrient intake. To identify plausible respondents, a confidence interval was applied to total energy expenditure derived from equations developed by the Institute of Medicine. Estimates of energy and nutrient intake for plausible respondents were compared with estimates for all respondents. Linear regression was used to demonstrate the impact of under-reporting on the relationship between reported energy intake and weight. Logistic regression was used to determine the impact of under-reporting on modelling the characteristics of obese people.
With a confidence interval of 70% to 142% around energy expenditure, 57% of CCHS respondents were identified as "plausible respondents". Nutrient under-reporting varied between 1% and 10%. Analysis based only on plausible respondents re-establishes the theoretical relationship between energy intake and body weight, a relationship that is lost when analysis is based on the full sample.
Identifying plausible respondents is an effective way of measuring the impact of under-reporting food intake. Conclusions based on plausible respondents, rather than on all respondents, are more in line with theoretical expectations, such as a positive association between high energy intake and obesity.
To calculate total intake of a nutrient and estimate inadequate intake for a population, the amounts derived from food/beverages and from vitamin/mineral supplements must be combined. The two methods Statistics Canada has suggested present problems of interpretation.
Data collected from 34,386 respondents to the 2004 Canadian Community Health Survey-Nutrition were used to compare four methods of combining nutrient intake from food/beverages and vitamin/mineral supplements: adding average intake from supplements to the 24-hour food/beverage recall and estimating the usual distribution in the population (Method 1); estimating usual individual intake from food? beverages and adding intake from supplements (Method 2); and dividing the population into supplement users and non-users and applying Method 1 or Method 2 and combining the estimates based on the percentages of users and non-users (Methods 3 and 4).
Interpretation problems arise with Methods 1 and 2; for example, the percentage of the population with inadequate intake of vitamin C and folate equivalents falls outside the expected minimum-maximum range. These interpretation problems are not observed with Methods 3 and 4.
Interpretation problems that may arise in combining food and supplement intake of a given nutrient are overcome if the population is divided into supplement users and non-users before Method 1 or Method 2 is applied.