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Dietary patterns derived by statistical procedures is a way to identify overall dietary habits in specific populations. The aim of this study was to identify and characterise dietary patterns in Swedish adults using data from the national dietary survey Riksmaten adults 2010–11 (952 women, 788 men). Principal component analyses were used and two patterns were identified in both sexes: a healthy pattern loading positively on vegetables, fruits, fish and seafood, and vegetable oils, and negatively on refined bread and fast food, and a Swedish traditional pattern loading positively on potatoes, meat and processed meat, full-fat milk products, sweet bakery products, sweet condiments and margarine. In addition, a light-meal pattern was identified in women with positive loadings on fibre-rich bread, cheese, rice, pasta and food grain dishes, substitute products for meat and dairy products, candies and tea. The healthy pattern was positively correlated to dietary fibre (r 0·51–0·58) and n-3 (r 0·25–0·31) (all P<0·0001), and had a higher nutrient density of folate, vitamin D and Se. The Swedish traditional and the light-meal pattern were positively correlated to added sugar (r 0·20–0·25) and the Swedish traditional also to SFA (r 0·13–0·21) (all P<0·0001); both patterns were in general negatively correlated to micronutrients. Dietary pattern scores were associated with, for example, age, physical activity, education and income. In conclusion, we identified three major dietary patterns among Swedish adults. The patterns can be further used for examining the association between whole diet and health outcomes.

Dietary patterns high in meat compromise both planetary and human health. Meat alternatives may help to facilitate meat reduction; however, the nutritional implications of displacing meat with meat alternatives does not appear to have been evaluated. Here, the ninth cycle of the National Diet and Nutrition Survey was used as the basis of models to assess the effect of meat substitution on nutritional intake. We implemented three models; model 1 replaced 25 %, 50 %, 75 % or 100 % of the current meat intake with a weighted mean of meat alternatives within the UK market. Model 2 compared different ingredient categories of meat alternative; vegetable, mycoprotein, a combination of bean and pea, tofu, nut and soya. Model 3 compared fortified v. unfortified meat alternatives. The models elicited significant shifts in nutrients. Overall, carbohydrate, fibre, sugars and Na increased, whereas reductions were found for protein, total and saturated fat, Fe and B12. Greatest effects were seen for vegetable-based (+24·63g/d carbohydrates), mycoprotein-based (–6·12g/d total fat), nut-based (–19·79g/d protein, +10·23g/d fibre; −4·80g/d saturated fat, +7·44g/d sugars), soya-based (+495·98mg/d Na) and tofu-based (+7·63mg/d Fe, −2·02μg/d B12). Our results suggest that meat alternatives can be a healthful replacement for meat if chosen correctly. Consumers should choose meat alternatives low in Na and sugar, high in fibre, protein and with high micronutrient density, to avoid compromising nutritional intake if reducing meat intake. Manufacturers and policy makers should consider fortification of meat alternatives with nutrients such as Fe and B12 and focus on reducing Na and sugar content.

Dietary patterns analysis is an emerging area of research. Identifying distinct patterns within a large dietary survey can give a more accurate representation of what people are eating. Furthermore, it allows researchers to analyse relationships between non-communicable diseases (NCD) and complete diets rather than individual food items or nutrients. However, few such studies have been conducted in developing countries including India, where the population has a high burden of diabetes and CVD. We undertook a systematic review of published and grey literature exploring dietary patterns and relationships with diet-related NCD in India. We identified eight studies, including eleven separate models of dietary patterns. Most dietary patterns were vegetarian with a predominance of fruit, vegetables and pulses, as well as cereals; dietary patterns based on high-fat, high-sugar foods and more meat were also identified. There was large variability between regions in dietary patterns, and there was some evidence of change in diets over time, although no evidence of different diets by sex or age was found. Consumers of high-fat dietary patterns were more likely to have greater BMI, and a dietary pattern high in sweets and snacks was associated with greater risk of diabetes compared with a traditional diet high in rice and pulses, but other relationships with NCD risk factors were less clear. This review shows that dietary pattern analyses can be highly valuable in assessing variability in national diets and diet–disease relationships. However, to date, most studies in India are limited by data and methodological shortcomings.

Mycoprotein is a fungal-based ingredient rich in fibre and protein used in meat substitutes called Quorn. Fibre and protein positively regulate glycaemia, lipidaemia and energy intake which are non-communicable diseases’ (NCD) markers. We performed a cross-sectional study to investigate the association of mycoprotein intake with diet quality, nutrient, energy intake and NCD risk within 5507 UK free-living adults from the National Diet and Nutrition Survey from years 2008/2009 to 2016/2017. Dietary approaches to stop hypertension (DASH) and healthy diet index (HDI) were calculated to estimate diet quality. Comparison between mycoprotein consumers (>1 % kcal) and non-consumers, and associations between consumers and nutrient intakes, NCD’s risk markers and diet quality were investigated using a survey-adjusted general linear model adjusted for sex, age, BMI, ethnicity, socio-economic, smoking status, region of residency, total energy, energy density, HDI and non-mycoprotein fibre intake. Mycoprotein consumers (3·44 % of the cohort) had a higher intake of dietary fibre (+22·18 %, P < 0·001), DASH score (+23·33 %) and HDI (+8·89 %) (P < 0·001, both) and lower BMI (−4·77 %, P = 0·00) v. non-consumers. There was an association (P = 0·00) between mycoprotein consumers and diet quality scores (+0·19 and +0·26), high fibre (+3·17 g), total and food energy (+3·09 and +0·22 kcal), but low energy density intakes (−0·08 kcal/g, P = 0·04). Consumers were negatively associated with fasting blood glucose (−0·31 mmol/l, P = 0·00) and glycated HbA1c (−0·15 %, P = 0·01). In conclusion, mycoprotein intake is associated with lower glycaemic markers and energy density intake, and high fibre, energy intake and diet quality scores.

Although breakfast consumption is widely considered to be an important component of a healthy lifestyle, few UK studies have examined differences in nutrient intakes between breakfast consumers and breakfast skippers among children and adolescents. We investigated associations between breakfast skipping in 4–18-year-olds and their nutrient intakes using data from the UK’s National Diet and Nutrition Survey Rolling Programme. Dietary data were derived from 4-d estimated food diaries of 802 children aged 4–10 years and 884 children aged 11–18 years (1686 in total). Daily nutrient intakes of children with different breakfast habits were compared by one-way ANCOVA adjusting for relevant covariates (sex, age, ethnicity, equivalised household income and BMI). Within-person analysis was carried out on children with an irregular breakfast habit (n 879) comparing nutrient intakes on breakfast days with those on non-breakfast days using repeated measures ANCOVA. We observed that the overall nutritional profile of the children in terms of fibre and micronutrient intake was superior in frequent breakfast consumers (micronutrients: folate, Ca, Fe and I (P<0·01)) and, for the 4–10 years age group, on breakfast days (micronutrients: folate, vitamin C, Ca and I (P<0·01)). Also, significantly higher proportions of breakfast-consuming children met their reference nutrient intakes of folate, vitamin C, Ca, Fe and I compared with breakfast skippers (χ 2 analysis, P<0·001). Our study adds to the body of data linking breakfast consumption with higher quality dietary intake in school-age children, supporting the promotion of breakfast as an important element of a healthy dietary pattern in children.

We aimed to evaluate the association between eating context patterns and ultraprocessed food consumption at two main meal occasions in a representative sample of UK adolescents. Data were acquired from 4-d food records of adolescents aged 11–18 years, who participated in the 2014–2016 UK National Diet and Nutrition Survey (n 542). The eating context was assessed considering the location of the meal (lunch and dinner) occasion, the individuals present, whether the television was on and if the food was consumed at a table. Ultraprocessed foods were identified using the NOVA classification. Exploratory factor analysis was used to identify eating context patterns for lunch and dinner. Linear regression models adjusted for the covariates were utilised to test the association between eating context patterns and the proportion of total daily energy intake derived from ultraprocessed foods. Their contribution was about 67 % to energy intake. Three patterns were retained for lunch (‘At school with friends’, ‘TV during family meal’ and ‘Out-of-home (no school)’), and three patterns were retained for dinner (‘Watching TV alone in the bedroom’, ‘TV during family meal’ and ‘Out-of-home with friends’). At lunch, there was no significant association between any of the three patterns and ultraprocessed food consumption. At dinner, the patterns ‘Watching TV alone in the bedroom’ (coefficient: 4·95; 95 % CI 1·87, 8·03) and ‘Out-of-home with friends’ (coefficient: 3·13; 95 % CI 0·21, 6·14) were associated with higher consumption of ultraprocessed food. Our findings suggest a potential relationship between the immediate eating context and ultraprocessed food consumption by UK adolescents.

Achieving an understanding of the extent of micronutrient adequacy across Europe is a major challenge. The main objective of the present study was to collect and evaluate the prevalence of low micronutrient intakes of different European countries by comparing recent nationally representative dietary survey data from Belgium, Denmark, France, Germany, The Netherlands, Poland, Spain and the United Kingdom. Dietary intake information was evaluated for intakes of Ca, Cu, I, Fe, Mg, K, Se, Zn and the vitamins A, B1, B2, B6, B12, C, D, E and folate. The mean and 5th percentile of the intake distributions were estimated for these countries, for a number of defined sex and age groups. The percentages of those with intakes below the lower reference nutrient intake and the estimated average requirement were calculated. Reference intakes were derived from the UK and Nordic Nutrition Recommendations. The impact of dietary supplement intake as well as inclusion of apparently low energy reporters on the estimates was evaluated. Except for vitamin D, the present study suggests that the current intakes of vitamins from foods lead to low risk of low intakes in all age and sex groups. For current minerals, the study suggests that the risk of low intakes is likely to appear more often in specific age groups. In spite of the limitations of the data, the present study provides valuable new information about micronutrient intakes across Europe and the likelihood of inadequacy country by country.

Increased whole grain intake has been shown to reduce the risk of many non-communicable diseases. Countries including the USA, Canada, Denmark and Australia have specific dietary guidelines on whole grain intake but others, including the UK, do not. Data from 1986/87 and 2000/01 have shown that whole grain intake is low and declining in British adults. The aim of the present study was to describe whole grain intakes in the most current dietary assessment of UK households using data from the National Diet and Nutrition Survey rolling programme 2008–11. In the present study, 4 d diet diaries were completed by 3073 individuals between 2008 and 2011, along with details of socio-economic status (SES). The median daily whole grain intake, calculated for each individual on a dry weight basis, was 20 g/d for adults and 13 g/d for children/teenagers. The corresponding energy-adjusted whole grain intake was 27 g/10 MJ per d for adults and 20 g/10 MJ per d for children/teenagers. Whole grain intake (absolute and energy-adjusted) increased with age, but was lowest in teenagers (13–17 years) and younger adults up to the age of 34 years. Of the total study population, 18 % of adults and 15 % of children/teenagers did not consume any whole-grain foods. Individuals from lower SES groups had a significantly lower whole grain intake than those from more advantaged classifications. The whole grain intake in the UK, although higher than in 2000/01, remains low and below that in the US and Danish recommendations in all age classes. Favourable pricing with increased availability of whole-grain foods and education may help to increase whole grain intake in countries without whole-grain recommendations. Teenagers and younger adults may need targeting to help increase whole grain consumption.

This study evaluated changes in the use of sweeteners over one decade and the relationship between socio-demographics, diet and weight status with the type of sweetener. Data came from the Brazilian National Dietary Surveys of 2008–2009 and 2017–2018, including ≥ 10-year-old individuals (n 32 749; n 44 744, respectively, after excluding pregnant and lactating women). The use of table sugar, non-caloric sweeteners (NCS), both or none was reported through a specific question. Food consumption was assessed using two non-consecutive food records (2008–2009) and 24-h recalls (2017–2018). For the last survey, means of energy, macro and micronutrient intake, food groups’ contribution (%) to daily energy intake and age- and energy-adjusted nutrient intake were estimated according to the type of sweetener used. Differences in means and proportions across the categories of sweeteners used were evaluated based on the 95 % CI. All analyses were stratified by sex and considered sample design and weights. Over 10 years, the use of table sugar decreased by 8 %, while the habit of not using any sweetener increased almost three times, and the use of NCS remained stable. Larger reductions in the use of table sugar were observed in the highest income level and among men. Regardless of sex, compared with NCS users, table sugar users had greater mean intake of energy, carbohydrates and added sugar and lower micronutrient intake means. Although table sugar is still the most used sweetener, the increased choice of ‘no sweetener’ is noteworthy in Brazil.

The objective of this study was to describe the evolution of household purchase of added sugars and their main food sources in Brazil. Nationally representative data from the Household Budget Surveys from 2002–2003, 2008–2009 and 2017–2018 were used. Energy and added sugar quantities were estimated by means of per capita food quantities. The items considered as food sources were: (1) table sugar: refined sugar and other energetic sweeteners and (2) processed and ultra-processed foods with added sugar: soft drinks; other drinks; sweets, candies and chocolates; cookies; cakes and pies and other foods. The parameters estimated were: mean share of added sugar in total energy and, for food sources, the share of added sugar in total sugar intake and the impact of variations in sources of added sugar between 2008 and 2017. There was a regular share of energy from added sugar to total energy intake between 2002 and 2008 but a reduced share in 2017. Between 2008 and 2017, there was a decrease in the share of refined sugar and other sweeteners and soft drinks to total sugar intake and an increased share of all other items. High-income households had a lower share of refined sugar and other energetic sweeteners, but a higher share of soft drinks, sweets, candies and chocolates. The decrease in added sugar in 2017 was mainly due to the lower share of soft drinks. In conclusion, Brazilians’ total intake of added sugar was decreased, mostly owing to reduced consumption of sugar from soft drinks.