Aine Hearty

Relationship between attitudes towards healthy eating and dietary behaviour, lifestyle and demographic factors in a representative sample of Irish adults

Attitudes towards healthy eating were explored according to dietary, lifestyle and socio-demographic correlates in a random sample of 1256 Irish adults. Data were obtained from an Irish cross-sectional survey (1997-1999). A self-administered questionnaire was used to obtain attitudinal information. Food consumption was estimated using a 7-d food diary. A majority of the sample had a positive attitude or motivation towards their healthy eating behaviour. Those who perceived their own eating habits to be healthy were more likely to comply with current dietary guidelines than those who did not. Females, increasing age, higher social class, tertiary education, non-smokers, lower body-weights and increased recreational activity were associated with a lower odds ratio (OR) for having a negative attitude towards their healthy eating behaviour. An increased intake (g/d) of breakfast cereals, vegetables, fruit and poultry dishes were associated with decreased OR for negative attitudes towards their healthy eating behaviour, while an increased intake of high-calorie beverages (g/d) was associated with an increased OR. It can be concluded that attitudes or motivation towards eating healthily was related to measured dietary and lifestyle behaviour in this sample. Future research is warranted to devise appropriate methods of instituting attitude change towards dietary behaviour in certain subgroups of the population.

Methodological characteristics of the national dietary surveys carried out in the European Union as included in the European Food Safety Authority (EFSA) Comprehensive European Food Consumption Database

In 2009 competent organisations in the European Union provided the European Food Safety Authority (EFSA) with data from the most recent national dietary survey at the level of individuals’ consumption. Twenty different Member States provided EFSA with data from 22 different national dietary surveys, with consumption figures for adults and, when available, for children. Member States’ dietary data were assembled into the EFSA Comprehensive European Food Consumption Database. In this paper an overview of the methodologies and protocols employed in the different national dietary surveys is provided. Specifically, details about dietary assessment methods, interview administration, sampling design, portion size estimation, dietary software, evaluation of under-reporting and non-dietary information collected are described. This information is crucial to evaluate the level of accuracy of food consumption data and to anticipate and acknowledge the utmost important sources of heterogeneity of national databases included in the Comprehensive Database. The Comprehensive Database constitutes a unique resource for the estimation of consumption figures across the European Union and represents a useful tool to assess dietary exposure to hazardous substances and nutrient intake in Europe. Nevertheless, the many substantial methodological differences that characterise the Comprehensive Database are acknowledged and critically discussed.

Analysis of meal patterns with the use of supervised data mining techniques—artificial neural networks and decision trees

BACKGROUND At present, the analysis of dietary patterns is based on the intake of individual foods. This article demonstrates how a coding system at the meal level might be analyzed by using data mining techniques. OBJECTIVE The objective was to evaluate the usability of supervised data mining methods to predict an aspect of dietary quality based on dietary intake with a food-based coding system and a novel meal-based coding system. DESIGN Food consumption databases from the North-South Ireland Food Consumption Survey 1997-1999 were used. This was a randomized cross-sectional study of 7-d recorded food and nutrient intakes of a representative sample of 1379 Irish adults. Meal definitions were recorded by the respondent. A healthy eating index (HEI) score was developed. Artificial neural networks (ANNs) and decision trees were used to predict quintiles of the HEI based on combinations of foods consumed at breakfast and main meals. RESULTS This study applied both data mining techniques to the food and meal-based coding systems. The ANN had a slightly higher accuracy than did the decision tree in relation to its ability to predict HEI quintiles 1 and 5 based on the food coding system (78.7% compared with 76.9% and 71.9% compared with 70.1%, respectively). However, the decision tree had higher accuracies than did the ANN on the basis of the meal coding system (67.5% compared with 54.6% and 75.1% compared with 72.4%, respectively). CONCLUSIONS ANNs and decision trees were successfully used to predict an aspect of dietary quality. However, further exploration of the use of ANNs and decision trees in dietary pattern analysis is warranted.

Pattern of intake of food additives associated with hyperactivity in Irish children and teenagers.

A double-blind randomized intervention study has previously shown that a significant relationship exists between the consumption of various mixes of seven target additives by children and the onset of hyperactive behaviour. The present study set out to ascertain the pattern of intake of two mixes (A and B) of these seven target additives in Irish children and teenagers using the Irish national food consumption databases for children (n = 594) and teenagers (n = 441) and the National Food Ingredient Database. The majority of additive-containing foods consumed by both the children and teenagers contained one of the target additives. No food consumed by either the children or teenagers contained all seven of the target food additives. For each additive intake, estimates for every individual were made assuming that the additive was present at the maximum legal permitted level in those foods identified as containing it. For both groups, mean intakes of the food additives among consumers only were far below the doses used in the previous study on hyperactivity. Intakes at the 97.5th percentile of all food colours fell below the doses used in Mix B, while intakes for four of the six food colours were also below the doses used in Mix A. However, in the case of the preservative sodium benzoate, it exceeded the previously used dose in both children and teenagers. No child or teenager achieved the overall intakes used in the study linking food additives with hyperactivity.

Estimation of the dietary intake of 13 priority additives in France, Italy, the UK and Ireland as part of the FACET project

The aim of this study was to assess the dietary exposure of 13 priority additives in four European countries (France, Italy, the UK and Ireland) using the Flavourings, Additives and Contact Materials Exposure Task (FACET) software. The studied additives were benzoates (E210–213), nitrites (E249–250) and sulphites (E220–228), butylated hydroxytoluene (E321), polysorbates (E432–436), sucroses esters and sucroglycerides (E473–474), polyglycerol esters of fatty acids (E475), stearoyl-lactylates (E481–482), sorbitan esters (E493–494 and E491–495), phosphates (E338–343/E450–452), aspartame (E951) and acesulfame (E950). A conservative approach (based on individual consumption data combined with maximum permitted levels (Tier 2)) was compared with more refined estimates (using a fitted distribution of concentrations based on data provided by the food industry (Tier 3)). These calculations demonstrated that the estimated intake is below the acceptable daily intake (ADI) for nine of the studied additives. However, there was a potential theoretical exceedance of the ADI observed for four additives at Tier 3 for high consumers (97.5th percentile) among children: E220–228 in the UK and Ireland, E432–436 and E481–482 in Ireland, Italy and the UK, and E493–494 in all countries. The mean intake of E493–494 could potentially exceed the ADI for one age group of children (aged 1–4 years) in the UK. For adults, high consumers only in all countries had a potential intake higher than the ADI for E493–494 at Tier 3 (an additive mainly found in bakery wares). All other additives examined had an intake below the ADI. Further refined exposure assessments may be warranted to provide a more in-depth investigation for those additives that exceeded the ADIs in this paper. This refinement may be undertaken by the introduction of additive occurrence data, which take into account the actual presence of these additives in the different food groups. Graphical Abstract

Estimation of exposure to food-packaging materials. 2: Patterns of intakes of packaged foods in Irish Children aged 5–12 years

In the European Union (EU), many assumptions are employed to calculate the intake of migrating chemicals from food packaging. However, very little is known about the actual intake of packaged food, the type of this food and the type of packaging used for this food. The objective of the current study was to examine intakes of packaged food in children aged 5–12 years to provide information on the types of food that are packaged and the type of packaging used. To do this, a food-consumption database, which also recorded information on packaging, was merged with a packaging database, which provided information on the contact layers of packaging. Foods were classified into EU Food categories according to European Council Directive EC 85/575/EEC (European Council 1985), which determined their food type (i.e. aqueous, acidic, alcoholic and fatty). The mean daily intake of all packaged food was 1195 g day−1 with an upper intake of 1959 g day−1 (97.5th percentile); the intake of food packaged in plastic was 993 g day−1 with an upper percentile of 1692 g day−1 (97.5th percentile). The mean daily intake of fat from all packaged food was 62 g day−1, with an upper intake of 100 g day−1 (97.5th percentile). When this was investigated further, it was found that the mean fat intake from packaged ‘fatty’ foods only was 32 g day−1, with an upper intake of 61 g day−1 (97.5th percentile). The food that contributed most to fat intake was milk. As many food chemical intake assessments are moving towards probabilistic methods, probabilities of a food being packaged and the probability of the type of packaging used were determined. The probability of food being packaged was 0.88. Some foods not 100% packaged included fruit, vegetables, liquid beverages non-alcoholic (includes water) and bread. Probabilities were also derived for the packaging types used for food. It can be concluded that not all the individual assumptions used in the EU exposure assessment are conservative, but in combination they are conservative.

Phytosterol-enriched products on the Irish market: examination of intake and consumption patterns.

OBJECTIVE To study patterns of phytosterol intakes in the Irish population from enriched sources. DESIGN An interview-assisted questionnaire, which recorded information on sociodemographics, product types, intake amounts and patterns of intake. Independent samples t tests, one-way ANOVA and cross-tabulations were used to establish significant relationships between groups of variables. The top tertile of phytosterol intakes was also calculated. SETTING Point-of-purchase of phytosterol-enriched products in Irish supermarkets. SUBJECTS Four hundred and sixty-eight consumers (186 men and 282 women) of phytosterol-enriched foods. RESULTS The mean phytosterol intake from enriched sources for the sample population was 2.45 g/d. Men had greater intakes than women (2.71 g/d v. 2.29 g/d, respectively). A total of 62 % of consumers were unaware of the importance of consuming fruit and vegetables while taking these products. The majority of respondents reported that they had high cholesterol (61 %) and 22 % of consumers also took cholesterol-lowering medication (statins). In total, 23 % had phytosterol intakes >3.0 g/d and the majority of consumers (58 %) had been consuming these products for >1 year. The mean intake for respondents with phytosterol intakes >3.0 g/d was 4.1 g/d and 74 % of this subgroup had been consuming these products for >1 year. CONCLUSION In general, phytosterol intakes are within efficacious levels in the Irish population. However, there appears to be a subgroup that has been consuming these products at intakes greater than current recommendations for >1 year.

Estimation of exposure to food packaging materials. 3: Development of consumption factors and food-type distribution factors from data collected on Irish children

There are many initiatives in Europe trying to refine the exposure assessment for food packaging migrants. In the USA, the US Food and Drug Administration (US FDA) uses food consumption and food-type distribution factors to aid the exposure assessment process and generate more realistic estimates of exposure. The present study developed food-consumption factors and food-type distribution factors for Irish children aged 5–12 years from data collected as part of a National Childrens Food Survey (NCFS) completed in Ireland in 2003–04, combined with data from the 2003–05 Irish Food Packaging Database and from literature data on surface area-to-weight ratios for food packaging. Consumption factors are defined as the fraction of a persons diet likely to contact a specific food-contact material, while food-type distribution factors reflect the fraction of all food contacting each material that is aqueous, acidic, alcoholic or fatty. In this study, it was found that ‘total plastics’ had the highest consumption factor of 0.83, while ‘total paper and board’ had a factor of 0.13 and ‘total metal and alloys’ had a factor of 0.06. Although it is tentative to compare the US FDA factors with the factors derived in the current study, as the US FDA data are for the total US population, the consumption factor for ‘total plastics’ in the present study (0.83) was similar to that used by the US FDA (0.79). However, a large difference existed for the consumption factor for ‘total metal and alloys’ in the Irish data (0.06) and the US FDA data (0.2). In terms of the type of materials used for foods, glass was used mainly for acidic foods (0.67), while plastic was uniformly used for all food types. The food-contact area for plastic packaging for all foods consumed by children was 10.67 dm2/child day−1, which is slightly lower than the proposed value for the average European consumer of 12.4 dm2/person day−1. However, this should be expected, as children do not consume as much food as adults. When scenario exposure estimates were made, it was found that when using European Union assumptions, estimates were much larger than when using consumption factors and food-type distribution factors in the exposure assessment, even when conservative assumptions were employed for the consumption factor. This study highlights the potential use of consumption factors and food-type distribution factors in the refinement of the exposure assessment process and how these factors can be calculated using data collected as part of a national food survey.

Intake estimates of naturally occurring phytosterols using deterministic and probabilistic methods in a representative Irish population.

Intakes of naturally occurring phytosterols were estimated in the Irish population using phytosterol concentration data obtained from the published literature. Both deterministic and probabilistic approaches were used. Concentration data were applied to dietary intake data as assessed in the North/South Ireland Food Consumption Survey (n = 1,379). With the probabilistic approach, a uniform distribution was used in place of fixed values to reflect variability and uncertainty in phytosterol concentrations. Foods consumed were also categorized into 19 food groups, and the phytosterol intake per food group was calculated. Using the deterministic approach, mean phytosterol intake for the total population was 254 mg/day (28.1 mg/1,000 kJ). Using the probabilistic approach, slightly higher mean phytosterol intakes of 287 mg/day were found. In terms of food groups, ‘bread and bread-rolls’, ‘vegetables and vegetable dishes’ and ‘spreading fat and oils’ were the top three contributing food groups to phytosterol intakes. This study has shown how both deterministic and probabilistic approaches may be used to determine phytosterol intakes in a population.

A method for assessing dietary intakes of n-3 long-chain polyunsaturated fatty acids and trans fatty acids in an Irish adult population.

Abstract The present study aimed to quantify dietary intakes of eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA) and trans fatty acids (trans FA) in Irish adults using the North/South Ireland Food Consumption Survey (NSIFCS). To update the NSIFCS database, specific approaches were necessary to select accurate data. Published references were the main data source used to update for EPA and DHA (21.7%), while the UK Nutrient Databank was most frequently used to update for trans FA (46.7%). Total EPA and DHA mean daily intake was 275 mg/day whilst trans FA mean daily intake was 0.72% food energy. Younger adults had significantly lower intakes of EPA and DHA than older adults. The present study shows that dietary EPA and DHA intakes in the Irish adult population are below recommendations, especially among the younger population. Conversely, trans FA intakes are within the recommended value of < 2% food energy.