National Diet And Nutrition Survey Research Articles

Association of daily nitrate consumption with blood pressure and other risk factors for cardiovascular diseases in a representative UK population

AbstractDietary inorganic nitrate has been shown to lower blood pressure (BP) and improve endothelial function(1). The main sources of dietary nitrate are vegetables (root and green leafy varieties) as well as drinking water but data available on dietary analysis software on nitrate levels in vegetables and vegetable-based foods is very limited. To date, very few studies have investigated the relationship between the level of consumption of dietary nitrate on BP and other cardiovascular disease (CVD) risk factors in a representative UK population. The aim of the study was to address this knowledge gap using data from the National Diet and Nutrition Survey (NDNS) years 1–8, a cross-sectional study conducted in 3339 men and women aged 19–64 y between 2008/09–2011/12. A comprehensive database was first developed to evaluate the nitrate and nitrite levels in vegetables, cured meats and composite dishes to more accurately estimate the dietary nitrate intakes of the NDNS participants. The population was then classified into quartiles of daily nitrate intake, with quartile 1 (Q1: 26–106 mg/d) and quartile 4 (Q4: 183–559 mg/d) representing diets with the lowest and highest intakes, respectively. ANCOVA analysis was performed to determine the relationship between the level of daily nitrate intake with available data on biomarkers of CVD risk (including BP (systolic, diastolic and pulse pressure), lipid profile, (total, high-density lipoprotein and low-density lipoprotein (LDL-C) cholesterol), C-reactive protein, anthropometric measures (body mass index and waist to hip ratio) and glycaemic control (glucose and glycated haemoglobin). There were significant differences in systolic (P-trend = 0.008) and diastolic (P-trend = 0.025) BP across increasing quartiles of dietary nitrate intake, with BP significantly lower in Q3 than all other quartiles. Pulse pressure (calculated as systolic–diastolic BP) was also found to be significantly different across quartiles (P-trend = 0.001), with diets of participants in Q3 and Q4 being associated with significantly lower pulse pressures than those in Q1 (P-Q1 vs. Q3 = 0.005, P-Q1 vs. Q4 = 0.007). All of the other CVD risk markers were not different between quartile groups. Our preliminary results suggest that the level of dietary nitrate intake may be significantly associated with BP, a key independent CVD risk factor. There is an urgent need to more accurately estimate the dietary nitrate intake in the UK population and to determine whether the source of dietary nitrate (vegetables vs cured meats) impacts on the significant relationship with BP.

Almond snack consumption improves endothelial function in adults with moderate risk of cardiovascular disease: a randomised, controlled, parallel trial

AbstractEndothelial dysfunction is a predictor for cardiovascular disease risk and is a key feature of atherosclerosis. Poor diet quality, including consumption of saturated fat-rich, high-refined carbohydrate snack foods, may have adverse effects on endothelial function. Thus, snack foods, which contribute an average of 20% of energy intake in the UK adult population, present an easily identifiable target to improve vascular health. Almonds are nutrient-dense foods that are rich in unsaturated fats, fibre, minerals and non-nutrient bioactives (NNB), and may have health benefits by displacing snacks high in refined carbohydrates, enriching the diet with micronutrients and NNB, and/or low lipid bioaccessibility. Human clinical trials have demonstrated LDL cholesterol-lowering effects of daily almond consumption, yet the effects on endothelial function are unclear. This study aimed to investigate whether replacing habitual snacks (20% estimated daily energy requirements) with almonds had any impact on endothelium-dependent vasodilation, measured by flow-mediated dilatation (FMD) using ultrasound imaging of the brachial artery following reactive hyperaemia. A randomised, controlled, parallel trial in adult regular snack consumers aged 30–70 y at moderate risk of cardiovascular disease was conducted, including a 2-week run-in period with control snacks and a 6-week intervention period. Control sweet and savoury mini muffin snacks were developed to replicate the average UK snack nutrient profile, which was calculated from snack foods identified in the UK National Diet and Nutrition Survey (NDNS) database (55% energy from carbohydrate, 36% total fat (14% saturated fat), and 10% protein). One hundred and nine volunteers (77 females and 32 males; mean age 56 y) were enrolled in the study and 107 were randomised to isocaloric treatments, 1) control muffins, or 2) dry roasted whole almonds; 105 participants completed the study. Almonds significantly increased FMD relative to control (mean difference 3.6%, 95% CI 1.7, 5.5; P < 0.001), indicating improved endothelial function, and LDL-cholesterol (mean difference -0.25 mmol/L, 95% CI -0.47, -0.03; P = 0.030) significantly decreased adjusted with sex, age and baseline BMI and baseline dependent outcome values. Snacking on whole almonds as a replacement for snacks high in refined starch and sugar, and low in fibre and unsaturated fatty acids, improves endothelial function. The results of this study provide further evidence for the importance of nuts in dietary strategies to reduce risk of cardiovascular disease.

Does exclusion of extreme reporters of energy intake (the “Goldberg cutoffs”) reliably reduce or eliminate bias in nutrition studies? Analysis with illustrative associations of energy intake with health outcomes

The Goldberg cutoffs are used to decrease bias in self-reported estimates of energy intake (EISR). Whether the cutoffs reduce and eliminate bias when used in regressions of health outcomes has not been assessed. We examined whether applying the Goldberg cutoffs to data used in nutrition studies could reliably reduce or eliminate bias. We used data from the Comprehensive Assessment of Long-Term Effects of Reducing Intake of Energy (CALERIE), the Interactive Diet and Activity Tracking in American Association of Retired Persons (IDATA) study, and the National Diet and Nutrition Survey (NDNS). Each data set included EISR, energy intake estimated from doubly labeled water (EIDLW) as a reference method, and health outcomes including baseline anthropometric, biomarker, and behavioral measures and fitness test results. We conducted 3 linear regression analyses using EISR, a plausible EISR based on the Goldberg cutoffs (EIG), and EIDLW as an explanatory variable for each analysis. Regression coefficients were denoted ${\hat{\beta }_{\rm SR}}$, ${\hat{\beta }_{\rm G}}$, and ${\hat{\beta }_{\rm DLW}}$, respectively. Using the jackknife method, bias from ${\hat{\beta }_{\rm SR}}$ compared with ${\hat{\beta }_{\rm DLW}}$ and remaining bias from ${\hat{\beta }_{\rm G}}$ compared with ${\hat{\beta }_{\rm DLW}}$ were estimated. Analyses were repeated using Pearson correlation coefficients. The analyses from CALERIE, IDATA, and NDNS included 218, 349, and 317 individuals, respectively. Using EIG significantly decreased the bias only for a subset of those variables with significant bias: weight (56.1%; 95% CI: 28.5%, 83.7%) and waist circumference (WC) (59.8%; 95% CI: 33.2%, 86.5%) with CALERIE, weight (20.8%; 95% CI: -6.4%, 48.1%) and WC (17.3%; 95% CI: -20.8%, 55.4%) with IDATA, and WC (-9.5%; 95% CI: -72.2%, 53.1%) with NDNS. Furthermore, bias significantly remained even after excluding implausible data for various outcomes. Results obtained with Pearson correlation coefficient analyses were qualitatively consistent. Some associations between EIG and outcomes remained biased compared with associations between EIDLW and outcomes. Use of the Goldberg cutoffs was not a reliable method for eliminating bias.

Comparing Whole Grain with Cereal Fibre – Associations to Markers of Cardiovascular Disease Risk in the UK National Diet and Nutrition Survey and the Australian Health Survey (P08-079-19)

ObjectivesWhole grain intake is associated with lower risk of cardiovascular disease (CVD) and related risk factors. Cereal fibre content of whole grains may be responsible, although it is not clear to what extent. Inconsistent definitions of whole grains used within previous studies, such as including bran as a whole grain source, confound findings and limit the ability to separate the two exposures. We compared how intakes of whole grain and cereal fibre were separately associated with markers of CVD risk in adult participants within the UK National Diet and Nutrition Survey (NDNS) and the Australian Health Survey (AHS). MethodsCross-sectional analyses of the NDNS Rolling Programme 2008–14 and the 2011–13 AHS examined associations between whole grain and cereal fibre intakes and markers of CVD risk using multivariate linear regression analysis. Whole grain was defined as containing the endosperm, germ and bran components in the expected proportions, and food composition databases were used to estimate intakes. ResultsWithin the NDNS, participants in the highest quartile (Q4) of whole grain intake had lower waist-hip ratio (Q1 0.872; Q4 0.857; P = 0.04), HbA1c (Q1 5.66%; Q4 5.47%; P = 0.01) and homocysteine (Q1 9.95 μmol/L; Q4 8.76 μmol/L; P = 0.01) compared to participants in the lowest quartile (Q1) after adjustment for cereal fibre intake. Participants in the highest tertile of whole grain intake within the AHS had lower waist circumferences (P = 0.03), HbA1c (P = 0.03) and fasting blood glucose (P = 0.048) compared to non-whole grain consumers after adjustment for cereal fibre intake. Cereal fibre intake, when analysed separately, was inversely associated with waist-hip ratio (P = 0.03) and homocysteine (P = 0.002) in the NDNS, and BMI (P < 0.0001) and waist circumference (P = 0.0008) in the AHS. ConclusionsSimilar inverse associations between whole grain and cereal fibre intakes to multiple markers of CVD risk suggest cereal fibre may play a role in protective associations of whole grains. However, whole grain associations often remained significant after adjustment for cereal fibre intake, suggesting additional constituents may be relevant. Future research should ensure use of consistent definitions when examining health associations of whole grains and their specific constituents. Funding SourcesNil funding.

Are food exposures obtained through commercial market panels representative of the general population? Implications for outbreak investigations.

Current methods of control recruitment for case-control studies can be slow (a particular issue for outbreak investigations), resource-intensive and subject to a range of biases. Commercial market panels are a potential source of rapidly recruited controls. Our study evaluated food exposure data from these panel controls, compared with an established reference dataset. Market panel data were collected from two companies using retrospective internet-based surveys; these were compared with reference data from the National Diet and Nutrition Survey (NDNS). We used logistic regression to calculate adjusted odds ratios to compare exposure to each of the 71 food items between the market panel and NDNS participants. We compared 2103 panel controls with 2696 reference participants. Adjusted for socio-demographic factors, exposure to 90% of foods was statistically different between both panels and the reference data. However, these differences were likely to be of limited practical importance for 89% of Panel A foods and 79% of Panel B foods. Market panel food exposures were comparable with reference data for common food exposures but more likely to be different for uncommon exposures. This approach should be considered for outbreak investigation, in conjunction with other considerations such as population at risk, timeliness of response and study resources.

The cross-sectional relationships between consumption of takeaway food, eating meals outside the home and diet quality in British adolescents.

The present study aimed to evaluate the association of frequency of consuming takeaway meals and meals out with diet quality of UK adolescents. The Diet Quality Index for Adolescents (DQI-A) tool was used to assess diet quality, where adolescents' food intake was based on 4d diary records obtained from the UK cross-sectional National Diet and Nutrition Survey (NDNS) rolling programme Years 1-6. Models included confounders. The DQI-A relies on three components, specifically diet quality, diversity and equilibrium, which reflect the degree of adherence of an adolescent's diet with food-based dietary guidelines.ParticipantsBritish (n 2045) adolescents aged 11-18 years. Mean diet quality score for all adolescents was 20·4 % (overall DQI-A score range: -33 to 100 %). After adjusting for age, gender and equivalised household income, DQI-A% score was higher for low and moderate takeaway consumers by 7·4 % (95 % CI 5·5, 9·2; P&lt;0·01) and 3·5 % (95 % CI 1·9, 5·1; P&lt;0·01), respectively, v. frequent consumers. Significant differences were also observed between low, moderate and frequent takeaway consumers among all DQI-A components and sub-components (P&lt;0·05), except for the diet adequacy sub-component (DAx). Results for frequent consumption of meals out were similar but attenuated and not statistically significant for individual components before or after adjusting for confounders. Frequent consumption of takeaway meals may have a negative impact on adolescents' diet quality and therefore policies to reduce the intake of takeaways should be considered in this age group.

Time trends in adherence to UK dietary recommendations and associated sociodemographic inequalities, 1986-2012: a repeated cross-sectional analysis

Background/objectivesLittle is known about time trends in diet quality and associated inequalities in the UK. This study aimed to examine trends in adherence to four UK dietary recommendations, overall and among sociodemographic subgroups, from 1986 to 2012.Subjects/methodsWe conducted a repeated cross-sectional analysis using data from three UK diet surveys: Dietary and Nutritional Survey of British Adults 1986–87 (n = 2018), National Diet and Nutrition Survey (NDNS) 2000–01 (n = 1683) and NDNS Rolling Programme 2008–12 (n = 1632). We measured adherence to dietary recommendations for fruit and vegetables, salt, oily fish, and red and processed meat, estimated using food diary record data. We compared adherence across surveys and by four sociodemographic characteristics: sex, age, socioeconomic position and ethnicity.ResultsOverall, population adherence to dietary recommendations was low to moderate, but improved over time. There were inequalities in adherence to all recommendations at all timepoints according to one or more sociodemographic characteristic. When inequalities were present, women, older adults, those with non-manual occupations and non-Whites were more likely to adhere to dietary recommendations. Although some dietary inequalities declined, most persisted across the three surveys.ConclusionsThe persistence of most inequalities highlights the need for further interventions to reduce dietary inequalities as well as improve overall population diet. The greatest simultaneous improvement in population adherence and reduction of inequalities was observed for salt, which may reflect the success of the UK Salt Reduction Programme. Similarly comprehensive programmes should be encouraged for other dietary components.

High-risk environments for eating foods surplus to requirements: a multilevel analysis of adolescents' non-core food intake in the National Diet and Nutrition Survey (NDNS).

Interventions to reduce adolescents' non-core food intake (i.e. foods high in fat and sugar) could target specific people or specific environments, but the relative importance of environmental contexts v. individual characteristics is unknown. Cross-sectional. Data from 4d food diaries in the UK National Diet and Nutrition Survey (NDNS) 2008-2012 were analysed. NDNS food items were classified as 'non-core' based on fat and sugar cut-off points per 100g of food. Linear multilevel models investigated associations between 'where' (home, school, etc.) and 'with whom' (parents, friends, etc.) eating contexts and non-core food energy (kcal) per eating occasion (EO), adjusting for variables at the EO (e.g. time of day) and adolescent level (e.g. gender).ParticipantsAdolescents (n 884) aged 11-18 years. Only 11 % of variation in non-core energy intake was attributed to differences between adolescents. In adjusted models, non-core food intake was 151 % higher (ratio; 95 % CI) in EO at 'Eateries' (2·51; 2·14, 2·95) and 88 % higher at 'School' (1·88; 1·65, 2·13) compared with 'Home'. EO with 'Friends' (1·16; CI 1·03, 1·31) and 'Family &amp; friends' (1·21; 1·07, 1·37) contained 16-21 % more non-core food compared with eating 'Alone'. At the individual level, total energy intake and BMI, but not social class, gender or age, were weakly associated with more non-core energy intake. Regardless of individual characteristics, adolescents' non-core food consumption was higher outside the home, especially at eateries. Targeting specific eating contexts, not individuals, may contribute to more effective public health interventions.

The Effect of Processing and Seasonality on the Iodine and Selenium Concentration of Cow's Milk Produced in Northern Ireland (NI): Implications for Population Dietary Intake.

Cow’s milk is the most important dietary source of iodine in the UK and Ireland, and also contributes to dietary selenium intakes. The aim of this study was to investigate the effect of season, milk fat class (whole; semi-skimmed; skimmed) and pasteurisation on iodine and selenium concentrations in Northern Ireland (NI) milk, and to estimate the contribution of this milk to consumer iodine and selenium intakes. Milk samples (unpasteurised, whole, semi-skimmed and skimmed) were collected weekly from two large NI creameries between May 2013 and April 2014 and were analysed by inductively coupled plasma-mass spectrometry (ICP-MS). Using milk consumption data from the National Diet and Nutrition Survey (NDNS) Rolling Programme, the contribution of milk (at iodine and selenium concentrations measured in the present study) to UK dietary intakes was estimated. The mean ± standard deviation (SD) iodine concentration of milk was 475.9 ± 63.5 µg/kg and the mean selenium concentration of milk was 17.8 ± 2.7 µg/kg. Season had an important determining effect on the iodine, but not the selenium, content of cow’s milk, where iodine concentrations were highest in milk produced in spring compared to autumn months (534.3 ± 53.7 vs. 433.6 ± 57.8 µg/kg, respectively; p = 0.001). The measured iodine and selenium concentrations of NI milk were higher than those listed in current UK Food Composition Databases (Food Standards Agency (FSA) (2002); FSA (2015)). The dietary modelling analysis confirmed that milk makes an important contribution to iodine and selenium intakes. This contribution may be higher than previously estimated if iodine and selenium (+25.0 and +1.1 µg/day respectively) concentrations measured in the present study were replicable across the UK at the current level of milk consumption. Iodine intakes were theoretically shown to vary by season concurrent with the seasonal variation in NI milk iodine concentrations. Routine monitoring of milk iodine concentrations is required and efforts should be made to understand reasons for fluctuations in milk iodine concentrations, in order to realise the nutritional impact to consumers.

Yogurt consumption is associated with higher nutrient intake, diet quality and favourable metabolic profile in children: a cross-sectional analysis using data from years 1\u20134 of the National diet and Nutrition Survey, UK

PurposeYogurt consumption has been associated with higher nutrient intakes, better diet quality and improved metabolic profiles in adults. Few studies have investigated these associations in children. This study investigated the association of yogurt consumption with nutrient intakes, diet quality and metabolic profile in British children.MethodsData from 1687 children aged 4–10 and 11–18 years of the National Diet and Nutrition Survey (NDNS) years 1–4 were analysed. Yogurt consumption was determined using a 4-day diet diary. Diet quality was assessed by the Healthy Eating Index 2010 (HEI-2010). Anthropometric measures, blood pressure, pulse pressure, plasma glucose, HbA1c, C-reactive protein, triacylglycerol, total cholesterol, high-and low-density cholesterol from NDNS were used.ResultsThe highest tertile of yogurt consumption (T3) was associated with higher nutrient intakes, particularly for calcium (children 4–10 years: P < 0.0001; children 11–18 years P = 0.001), iodine (both age groups P < 0.0001) and riboflavin (both age groups P < 0.0001), and HEI-2010 score (both age groups P < 0.0001) in children aged 4–10 years (mean ± SD: 98.4 ± 35.7 g yogurt/day) and 11–18 years (mean ± SD: 105.4 ± 37.5 g yogurt/day) compared with non-consumers (0 g yogurt/d). Yogurt consumption was associated with significantly lower pulse pressure in children aged 4–10 years and lower HbA1c concentration, being shorter and having a larger hip circumference in children aged 11–18 years, compared with non-yogurt consumers.ConclusionThis study suggests that British children who are yogurt consumers (> 60 g/day) have higher overall diet quality, nutrient intakes and adequacy, lower pulse pressure (children aged 4–10 years) and HbA1c concentrations (children aged 11–18 years), were shorter and had a smaller hip circumference (children aged 11–18 years).

Meeting UK dietary recommendations is associated with higher estimated consumer food costs: an analysis using the National Diet and Nutrition Survey and consumer expenditure data, 2008-2012.

To test whether diets achieving recommendations from the UK's Scientific Advisory Committee on Nutrition (SACN) were associated with higher monetary costs in a nationally representative sample of UK adults. A cross-sectional study linking 4 d diet diaries in the National Diet and Nutrition Survey (NDNS) to contemporaneous food price data from a market research firm. The monetary cost of diets was assessed in relation to whether or not they met eight food- and nutrient-based recommendations from SACN. Regression models adjusted for potential confounding factors. The primary outcome measure was individual dietary cost per day and per 2000 kcal (8368 kJ). UK. Adults (n 2045) sampled between 2008 and 2012 in the NDNS. On an isoenergetic basis, diets that met the recommendations for fruit and vegetables, oily fish, non-milk extrinsic sugars, fat, saturated fat and salt were estimated to be between 3 and 17 % more expensive. Diets meeting the recommendation for red and processed meats were 4 % less expensive, while meeting the recommendation for fibre was cost-neutral. Meeting multiple targets was also associated with higher costs; on average, diets meeting six or more SACN recommendations were estimated to be 29 % more costly than isoenergetic diets that met no recommendations. Food costs may be a population-level barrier limiting the adoption of dietary recommendations in the UK. Future research should focus on identifying systems- and individual-level strategies to enable consumers achieve dietary recommendations without increasing food costs. Such strategies may improve the uptake of healthy eating in the population.

Eating at Food Outlets and "On the Go" Is Associated with Less Healthy Food Choices in Adults: Cross-Sectional Data from the UK National Diet and Nutrition Survey Rolling Programme (2008-2014).

Eating location has been linked with variations in diet quality including the consumption of low-nutrient energy-dense food, which is a recognised risk factor for obesity. Cross-sectional data from 4736 adults aged 19 years and over from Years 1–6 of the UK National Diet and Nutrition Survey (NDNS) Rolling Programme (RP) (2008–2014) were used to explore food consumption patterns by eating location. Eating location was categorized as home, work, leisure places, food outlets and “on the go”. Foods were classified into two groups: core (included in the principal food groups and considered important/acceptable within a healthy diet) and non-core (all other foods). Out of 97,748 eating occasions reported, the most common was home (67–90% of eating occasions). Leisure places, food outlets and “on the go” combined contributed more energy from non-core (30%) than from core food (18%). Analyses of modulating factors revealed that sex, income, frequency of eating out and frequency of drinking were significant factors affecting consumption patterns (p < 0.01). Our study provides evidence that eating patterns, behaviours and resulting diet quality vary by location. Public health interventions should focus on availability and access to healthy foods, promotion of healthy food choices and behaviours across multiple locations, environments and contexts for food consumption.

Association between egg consumption and cardiovascular disease events, diabetes and all-cause mortality

PurposeThe association between egg consumption and cardiovascular disease (CVD) or type 2 diabetes (T2D) remains controversial. We investigated the association between egg consumption and risk of CVD (primary outcome), T2D and mortality in the Caerphilly prospective cohort study (CAPS) and National Diet and Nutritional Survey (NDNS).MethodsCAPS included 2512 men aged 45–59 years (1979–1983). Dietary intake, disease incidence and mortality were updated at 5-year intervals. NDNS included 754 adults aged 19–64 years from 2008 to 2012.ResultsMen free of CVD (n = 1781) were followed up for a mean of 22.8 years, egg consumption was not associated with new incidence of CVD (n = 715), mortality (n = 1028) or T2D (n = 120). When stroke (n = 248), MI (n = 477), heart failure (n = 201) were investigated separately, no associations between egg consumption and stroke and MI were identified, however, increased risk of stroke in subjects with T2D and/or impaired glucose tolerance (IGT, fasting plasma glucose ≥ 6.1 mmol/L), adjusted hazard ratios (95% CI) were 1.0 (reference), 1.09 (0.41, 2.88), 0.96 (0.37, 2.50), 1.39 (0.54, 3.56) and 2.87 (1.13, 7.27) for egg intake (n) of 0 ≤ n ≤ 1, 1 < n ≤ 2, 2 < n ≤ 3, 3 < n < 5, and n ≥ 5 eggs/wk, respectively (P = 0.01). In addition, cross-sectional analyses revealed that higher egg consumption was significantly associated with elevated fasting glucose in those with T2D and/or IGT (CAPS: baseline P = 0.02 and 5-year P = 0.04; NDNS: P = 0.05).ConclusionsHigher egg consumption was associated with higher blood glucose in subjects with T2D and/or IGT. The increased incidence of stroke with higher egg consumption among T2D and/or IGT sub-group warrants further investigation.

Challenges and opportunities in the use of low‐energy sugar replacers

Challenges and opportunities in the use of low‐energy sugar replacers

Has the UK really become iodine sufficient?

In December, 2016, the Iodine Global Network (IGN) published its new map of global iodine nutrition based on median urinary iodine concentration (mUIC) in school-aged children.1 Notably, the status of the UK, which was classified as mildly iodine deficient in 2014–15 (mUIC 50–99 μg/L), had become adequate by 2016 (mUIC 100–299 μg/L).1 The reason for this apparently rapid improvement lies in the different data sources used; data that showed mild deficiency in 2014–15 came from spot-urine samples from 737 girls aged 14–15 years from nine UK centres (mUIC 80·1 μg/L),2 whereas the 2016 data were based on spot-urine samples from 458 boys and girls aged 4–18 years, which were collected in year 6 of the UK National Diet and Nutrition Survey (NDNS).

Fruit and vegetable intake: change with age across childhood and adolescence.

Eating fruit and vegetables (FV) offers important health benefits for children and adolescents, but their average intake is low. To explore if negative trends with age exist as children grow, this study modelled differences in FV consumption from childhood to young adulthood. A pseudo-panel was constructed using years 1-4 (combined) of the Rolling Programme of the UK National Diet and Nutrition Survey (NDNS) (2008/2009-2011/2012). Intake of FV in the NDNS was recorded using 4-d unweighted food diaries. The data consisted of 2131 observations of individuals aged 2-23 years. Age-year-cohort decomposition regression analyses were used to separate age effects from year and cohort effects in the data. Total energy intake was included to account for age differences in overall energy consumption. Fruit intake started to decrease from the age of 7 years for boys and girls, and reached its lowest level during adolescence. By 17 years, boys were consuming 0·93 (P=0·037) less fruit portions compared with the age of 2 years. By 15 years, girls were consuming 0·8 fruit portions less (P=0·053). Vegetable intake changed little during childhood and adolescence (P=0·0834 and P=0·843 for change between 7 and 12 years, boys and girls, respectively). There was unclear evidence of recovery of FV intakes in early adulthood. Efforts to improve FV intake should consider these trends, and focus attention on the factors influencing intake across childhood and adolescence in order to improve the nutritional quality of diets during these periods.

An exploration of socio-economic and food characteristics of high trans fatty acid consumers in the Dutch and UK national surveys after voluntary product reformulation

ABSTRACTTrans fatty acids (TFA) increase the risk of mortality and chronic diseases. TFA intakes have fallen since reformulation, but may still be high in certain, vulnerable, groups. This paper investigates socio-economic and food consumption characteristics of high TFA consumers after voluntary reformulation in the Netherlands and UK. Post-reformulation data of adults aged 19–64 was analysed in two national surveys: the Dutch National Food Consumption Survey (DNFCS) collected 2007–2010 using 2*24hr recalls (N = 1933) and the UK National Diet and Nutrition Survey (NDNS) years 3&4 collected 2010/11 and 2011/12 using 4-day food diaries (N = 848). The socio-economic and food consumption characteristics of the top 10% and remaining 90% TFA consumers were compared. Means of continuous data were compared using t-tests and categorical data means using chi-squared tests. Multivariate logistic regression models indicated which socio-demographic variables were associated with high TFA consumption. In the Dutch analyses, women and those born outside the Netherlands were more likely to be top 10% TFA consumers than men and Dutch-born. In the UK unadjusted analyses there was no significant trend in socio-economic characteristics between high and lower TFA consumers, but there were regional differences in the multivariate logistic regression analyses. In the Netherlands, high TFA consumers were more likely to be consumers of cakes, buns & pastries; cream; and fried potato than the remaining 90%. Whereas in the UK, high TFA consumers were more likely to be consumers of lamb; cheese; and dairy desserts and lower crisps and savoury snack consumers. Some socio-demographic differences between high and lower TFA consumers were evident post-reformulation. High TFA consumers in the Dutch 2007–10 survey appeared more likely to obtain TFA from artificial sources than those in the UK survey. Further analyses using more up-to-date food composition databases may be needed.

Associations between tree nut consumption and diet quality in the UK adult population based on National Diet and Nutrition Survey (NDNS) rolling programme 2008–2014

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.

Associations between tree nut consumption and cardiovascular disease risk markers in the UK adult population based on National Diet and Nutrition Survey (NDNS) rolling programme 2008–2014

Associations between tree nut consumption and cardiovascular disease risk markers in the UK adult population based on National Diet and Nutrition Survey (NDNS) rolling programme 2008–2014

The balanced diet - why so difficult to achieve?

The balanced diet - why so difficult to achieve?