To examine structured expert judgement (SEJ) elicitation as a method to provide robust, defensible data for three determinants of household food security (food cost, household disposable income and physical access) for quantifying a proof-of-concept integrating decision support system for food security.

SEJ elicitation is a validated method for obtaining unavailable data, but its use in household food security in high-income countries is novel. Investigate Discuss Estimate Aggregate (IDEA) elicitation protocol was implemented, including quantitative and qualitative elements. Using specific questions related to three determinants, food security experts were encouraged to Investigate – estimate individual first-round responses to these questions, Discuss – with each other evidence on the reasoning and logic of their estimates, Estimate – second-round responses, following which these judgements were combined using mathematical Aggregation.

Victoria, Australia.

Five experts with a range of expertise in the area of household food insecurity participated in the SEJ elicitation process.

The experts’ ability to provide reliable estimates was tested and informed the aggregation of the collection of individual estimates into a single quantity of interest for use in decision support. The results of the quantitative elicitation show the impact of combinations of varying household income, food cost and physical access on household food security status and severity and is supported by the experts reasoning during elicitation.

This research provides insight to the application of SEJ where elicited data can inform and support intervention decision-making specific to household food security, especially where evidence is absent or of poor quality.

To describe the nutrient intakes of an Italian cohort of infants at 6, 9 and 12 months of age.

Dietary data were collected using a food diary at three follow-ups (6, 9 and 12 months of age of infants). The infants’ dietary data were used to estimate nutrient intakes using the Italian food composition database integrated with data from nutritional labels and the literature. The mean and standard deviation, median and interquartile range, minimum and maximum, and 5th, 25th, 75th and 95th percentiles were calculated for the daily intake of twenty-eight nutrients, with sex differences evaluated using parametric/non-parametric statistical methods.

A prospective population-based birth cohort.

Infants (n 400) living in the urban area of Trieste (Italy).

The sex distribution was fairly balanced at each follow-up. The mean daily intakes of energy and the other twenty-seven nutrients considered were greater in males at all follow-ups. In particular, a significant statistical difference was observed in higher male consumption of cholesterol at 9 months and in energy and carbohydrate intakes at 12 months (P < 0·05). The mean daily intake of proteins was greater than that recommended by the Italian Dietary Reference Values at all follow-ups.

These preliminary results provide a useful basis for understanding the nutrient intake patterns of infants in this area of Italy during the first year of life.

To create, validate and assess the reliability of a checklist to measurecalcium intake in children.

Calcium intakes from a checklist and parent-assisted 24-h dietary recall werecompared. Checklist reliability was assessed separately.

After-school programmes in the United States.

Forty-two children (18 males, 24 females, age = 8.0 ± 0.9 years)participated in the validation analysis and 49 children (28 males, 21females, age = 7.5 ± 0.9 years) in the reliability analysis.

No differences in mean calcium intakes were found by method or gender. Thechecklist correlated well with recall among girls (r = 0.65, P = 0.01) but notboys (r = −0.33, P = 0.19). Agreement over time was above 80%for most foods.

The calcium checklist is useful for assessing calcium intake among groups of6–10-year-old children in settings that preclude parentalassistance. More research is needed to improve accuracy among boys.

The focus in understanding the causes of and preventing obesity has broadened from the individual level to include the obesogenic environment. Proving a causal relationship between environmental factors and eating patterns poses a great challenge because randomised controlled trials are seldom possible or feasible to conduct. Interactions between the environment and individuals are beginning to be explored in multilevel studies and qualitative and sociological research.

The aim is to give an overview of the wider environmental determinants of diet such as the national food supply, food availability and accessibility in different settings as well as the economic food environment and in relation to socio-economic status.

The indicators suggested are based on the amount of data available in the scientific literature and the potential for intervention. They can be used to monitor societal interventions or evaluate ‘natural’ changes in the food environment. The indicators are of relevance to the Second WHO European Action Plan for Food and Nutrition Policy 2007–2012.

The relatively weak empirical evidence does not imply the absence of causal relationships between environmental factors and diet. Potentially relevant factors have not been evaluated due to the complexity of the task and to lack of political will to change the food environment in a more healthy direction by use of legislation or economic instruments. Future intervention research, targeting the wider environmental determinants of diet, will give us better evidence to propose societal actions to counteract obesity and to strike the right balance between individual and societal action.

One explanation for the relationship between TV viewing and obesity is that people may (over)eat while watching TV. The current study investigated associations between TV viewing and the time spent on (concurrent) eating in a naturalistic setting among a general population sample.

Preregistered secondary data analyses were performed of a diary survey in which respondents reported their time use in 10-min blocks for 7 d.

Concurrent TV viewing and eating was operationalised as all blocks in which TV viewing and eating occurred simultaneously. Furthermore, the TV content respondents watched was coded as food-related (i.e. culinary content) or non-food related.

The sample composed of 2292 adults (58·9 % female) in the Netherlands, aged ≥ 20 years, from all educational levels (18·1 % low, 29·8 % middle and 51·4 % high).

More than half of the respondents (51·3 %) reported concurrent TV viewing and eating at least once during the 7-d diary period. The average eating occasion was longer in duration while watching TV (v. without media use), and the total time spent on eating was longer on days of concurrent TV viewing and eating (v. days of eating without media use). The percentage of TV viewing time spent on concurrent eating did not differ between food-related and non-food-related TV content.

Eating while watching TV was related to an increased time spent on eating. Even though energy intake was not assessed, these findings from a naturalistic setting provide further evidence that concurrent TV viewing and eating may contribute to overeating.

To develop a semi-quantitative FFQ and to evaluate its validity and reproducibility for the assessment of total dietary intake of Kenyan urban adult population, given its non-existence in Kenya.

The current study adopted a cross-sectional design. A culture-sensitive semi-quantitative FFQ was developed and its validity was tested relative to three non-consecutive 24-h recalls (24hR). Reproducibility was tested by the test–retest method, with a 3-week interval. Spearman’s correlation coefficients and intra-class correlation coefficients were calculated for several macro- and micronutrients. Cross-classification into quartiles and Bland and Altman plots were analysed.

Nairobi county (Dagoreti South and Starehe constituencies).

A convenient sample was recruited in three different clusters in Nairobi.

A culture-sensitive 123-food-item semi-quantitative FFQ showed higher nutrient intakes compared with the 24hR (total energy median 12543·632 v. 8501·888 kJ, P < 0·001). Energy-adjusted and deattenuated Spearman’s correlations for macronutrients ranged between 0·21 (total fat) and 0·47 (protein). The agreement in the same quartile varied from 28 % (protein) to 41 % (carbohydrates). Including adjacent quartiles, the range increased: 76 % (protein and fat) to 81 % (carbohydrates). The extreme disagreement was low. The first FFQ application resulted in higher mean values for all nutrients compared with the second FFQ (total energy median 12459·952 v. 10485·104 kJ, P < 0·001). Energy-adjusted correlations for macronutrients ranged from 0·28 (carbohydrates) to 0·61 (protein). Intra-class correlation coefficients for macronutrients were moderate, between 0·6 and 0·7.

The developed semi-quantitative FFQ was shown to be a valid and reproducible tool for ranking urban adult Kenyans according to their dietary intake.

To compare the prevalence of overweight or obesity (ow/ob) with WHO BMI cut-off points, International Obesity Task Force (IOTF) cut-off points and Chinese BMI criteria and examine its potential factors among preschool children in Hunan Province.

A cross-sectional survey including anthropometric measurements and questionnaires about children’s information, caregivers’ socio-demographic characteristics and maternal characteristics. χ2 tests and univariate and multivariate binary logistic regression were performed to evaluate the possible factors of ow/ob.

Hunan, China, from September to October 2019.

In total, 7664 children 2 to 6 years of age.

According to Chinese BMI criteria, about 1 in 7–8 children aged 2–6 years had ow/ob in Hunan, China. The overall estimated prevalence of ow/ob among 2- to 6-year-old children was significantly higher when based on the Chinese BMI criteria compared with the WHO BMI cut-off points and IOTF cut-off points. According to Chinese BMI criteria, ow/ob was associated with residing in urban areas, older age, male sex, eating snacking food more frequently, macrosomia delivery, caesarean birth, heavier maternal prepregnancy weight and pre-delivery weight.

The prevalence of ow/ob in preschool children in Hunan Province remains high. More ow/ob children could be screened out according to Chinese BMI cut-offs compared with WHO and IOTF BMI criteria. In the future, targeted intervention studies with matched controls will be needed to assess the long-term effects of intervention measures to provide more information for childhood obesity prevention and treatment.

To investigate homocysteine (Hcy) and folate levels, prevalence of hyperhomocysteinaemia (HHcy) and folate deficiency, which are affected by lifestyles in urban, agricultural and stock-raising populations.

This is a cross-sectional study.

Urban, agricultural and stock-raising regions in Emin, China.

Totally 1926 subjects – 885 (45·9 %) from urban, 861 (44·7 %) from agricultural and 180 (9·4 %) from stock-raising regions – were obtained using multistage stratified random sampling. Inclusion criteria encompassed inhabitants aged ≥15 years who resided at the current address for ≥6 months and agreed to participate in the study. Surveys on health behaviour questionnaires and physical examinations were conducted and blood samples collected.

The folate level of subjects from the stock-raising region was the lowest, followed by those from the agricultural region, and the highest in those from the urban region (3·48 v. 6·50 v. 7·12 ng/ml, P < 0·001), whereas mean Hcy showed no significant difference across regions. The OR for HHcy in stock-raising regions was 1·90 (95 % CI 1·11, 3·27) compared with the urban region after adjusting for all possible covariates. The OR for folate deficiency in stock-raising and agriculture regions was 11·51 (95 % CI 7·09, 18·67) and 1·91 (95 % CI 1·30, 2·82), respectively, compared with the urban region after adjusting for all possible covariates.

HHcy and folate deficiency are highly prevalent in stock-raisers, which is of important reference for HHcy control in Xinjiang, with a possibility of extension to others with approximate lifestyles.

To evaluate the associations of pregestational BMI, gestational weight gain (GWG) and breast-feeding at 1 month postpartum with four patterns of weight change during the first year after delivery: postpartum weight retention (PPWR), postpartum weight gain (PPWG), postpartum weight retention + gain (PPWR + WG) and return to pregestational weight.

In this secondary analysis of a prospective study, we categorised postpartum weight change into four patterns using pregestational weight and weights at 1, 6 and 12 months postpartum. We evaluated their associations with pregestational BMI, GWG and breast-feeding using multinomial logistic regression. Results are presented as relative risk ratios (RRR) and 95 % CI.

Mexico City.

Women participating in the Programming Research in Obesity, Growth, Environment and Social Stressors pregnancy cohort.

Five hundred women were included (53 % of the cohort). Most women returned to their pregestational weight by 1 year postpartum (57 %); 8 % experienced PPWR, 14 % PPWG and 21 % PPWR + WG. Compared with normal weight, pregestational overweight (RRR 2·5, 95 % CI 1·3, 4·8) and obesity (RRR 2·2, 95 % CI 1·0, 4·7) were associated with a higher risk of PPWG. Exclusive breast-feeding, compared with no breast-feeding, was associated with a lower risk of PPWR (RRR 0·3, 95 % CI 0·1, 0·9). Excessive GWG, compared with adequate, was associated with a higher risk of PPWR (RRR 3·3, 95 % CI 1·6, 6·9) and PPWR + WG (RRR 2·4, 95 % CI 1·4, 4·2).

Targeting women with pregestational overweight or obesity and excessive GWG, as well as promoting breast-feeding, may impact the pattern of weight change after delivery and long-term women’s health.

This study aimed to determine the knowledge, perceptions and practices of dietitians in South Africa regarding the Regulations Relating to Foodstuffs for Infants and Young Children (R991).

A mixed methods, cross-sectional design was used.

Quantitative data were collected using an online survey (n 282) and qualitative data by means of two focus group discussions (n 12).

Participants were dietitians registered with the Health Professions Council of South Africa.

Dietitians’ average knowledge score was 64·8 % ± 12·5. Those working in infant and young child feeding had a 5 % higher knowledge score (95 % CI 1·4, 8·6, P = 0·01). Perceptions towards the Regulations were generally positive, and the majority of practices were compliant. Positive perceptions seemed to correlate with compliant practices. The most frequently selected enabler to the implementation of the Regulations was ‘Increase in other initiatives which support, protect and promote breastfeeding’, and the most frequently selected barrier was ‘Lack of awareness of the Regulation among health care providers’. The major themes from the focus group discussions comprised: less knowledge among dietitians and mothers about products controlled under the Regulations, non-compliance of other health care providers, the dietitians’ role in support and enforcement, the discrepancy between practice in private and public sectors and a lack of enforcement.

South Africa has taken a bold step in legislating the International Code of Marketing of Breast-milk Substitutes and should upscale programmes to ensure consistent monitoring and enforcing of the Regulations.

To investigate dietary and non-dietary characteristics of wholegrain bread eaters in the Norwegian Women and Cancer study.

Cross-sectional study using an FFQ.

Women were divided into two groups according to wholegrain bread consumption.

Adult women (n 69 471).

Median daily consumption of standardized slices of wholegrain bread was 2·5 in the low intake group and 4·5 in the high intake group. The OR for high wholegrain bread consumption was 0·28, 2·19 and 4·63 for the first, third and fourth quartile of energy intake, respectively, compared with the second quartile. Living outside Oslo or in East Norway and having a high level of physical activity were associated with high wholegrain bread consumption. BMI and smoking were inversely associated with wholegrain bread consumption. Intake of many food items was positively associated with wholegrain bread consumption (P trend <0·01). After adjustment for energy intake, consumption of most food items was inversely associated with wholegrain bread consumption (P trend <0·001). The mean intakes of thiamin and Fe were higher in those with high wholegrain bread consumption, even after taking energy intake into account.

Energy intake was strongly positively associated with wholegrain bread consumption. Geographical differences in wholegrain bread consumption were observed. Our study suggests that women with high wholegrain bread consumption do not generally have a healthier diet than those who eat less wholegrain bread, but that they tend to be healthier in regard to other lifestyle factors.

In 2019, California and Wilmington, Delaware‘ implemented policies requiring healthier default beverages with restaurant kids’ meals. The current study assessed restaurant beverage offerings and manager perceptions.

Pre-post menu observations were conducted in California and Wilmington. Observations of cashiers/servers during orders were conducted pre-post implementation in California and post-implementation in Wilmington. Changes in California were compared using multilevel logistic regression and paired t tests. Post-implementation, managers were interviewed.

Inside and drive-through ordering venues in a sample of quick-service restaurants in low-income California communities and all restaurants in Wilmington subject to the policy, the month before and 7–12 months after policy implementation.

Restaurant observations (California n 110; Wilmington n 14); managers (California n 75; Wilmington n 15).

Pre-implementation, the most common kids’ meal beverages on California menus were unflavoured milk and water (78·8 %, 52·0 %); in Wilmington, juice, milk and sugar-sweetened beverages were most common (81·8 %, 66·7 % and 46·2 %). Post-implementation, menus including only policy-consistent beverages significantly increased in California (9·7 % to 66·1 %, P < 0·0001), but remained constant in Wilmington (30·8 %). During orders, cashiers/servers offering only policy-consistent beverages significantly decreased post-implementation in California (5·0 % to 1·0 %, P = 0·002). Few managers (California 29·3 %; Wilmington 0 %) reported policy knowledge, although most expressed support. Most managers wanted additional information for customers and staff.

While the proportion of menus offering only policy-consistent kids’ meal default beverages increased in California, offerings did not change in Wilmington. In both jurisdictions, managers lacked policy knowledge, and few cashiers/servers offered only policy-consistent beverages. Additional efforts are needed to strengthen implementation of kids’ meal beverage policies.

To investigate the relationships between children’s food and drink choices at school lunch for children who consume high and low sugar intakes at home.

Children’s food and drink consumption at home was assessed using diet diaries over three consecutive days. Children were classified as ‘high’ or ‘low’ sugar consumers at home using the WHO recommendation that free sugars should be less than 10 % of their daily total energy intake. A purposive sample of children was then selected and observed during school lunch, recording food selections, food left on plates and content of packed lunches.

Six primary schools in Newham and Kent, England.

Parents and children aged 6–7 years.

Seventy-one parents completed diet diaries. From the seventy-one, thirty-nine children were observed during school lunch. Twenty children were high sugar consumers, nineteen children were low sugar consumers; thirty-one children had a school meal. Eleven of the fifteen children (73 %) who had school meals and who were high sugar consumers selected a high-sugar dessert rather than fruit. Only five of the sixteen (31 %) children who had school meals and were low sugar consumers at home chose a high-sugar dessert. Most of the children who had packed lunches had sweet items, despite school policies.

Children who consumed high sugar intake at home tended to select foods high in sugar for school meals or had packed lunches containing high-sugar foods. The implications for public health programmes include healthy eating workshops and implementing school food policies.

To investigate associations between alcohol consumption patterns and diet quality, nutrient intakes and biochemical profile of women of childbearing age.

Nutrient intake data from 24 h diet recalls, alcohol consumption data and diet quality from the Dietary Habits Questionnaire, and biochemical analyses from the cross-sectional 2008/09 Adult Nutrition Survey in New Zealand.

New Zealand households.

New Zealand women aged 18–45 years (n 1124).

All analyses were completed using Stata and survey weights were used to allow for the complex survey design to produce population estimates. Multinomial logistic regression models were used to examine the associations between drinking patterns and the variables of interest, with ‘infrequent moderate/light’ drinkers being the reference category. The findings indicate that alcohol-consuming women of childbearing age tend to replace food energy with alcohol energy (P = 0·022). ‘More frequent heavy’ and ‘more frequent moderate/light’ drinkers had higher intakes of total, mono- and polyunsaturated fats with the latter group also consuming higher levels of saturated fats (P < 0·05). Women who were ‘infrequent moderate/light’ drinkers had relatively better diet quality, nutrient intakes and adequate biochemical status in comparison to other drinkers and abstainers. ‘Infrequent heavy’ drinkers, who were predominantly younger in age, had lower serum vitamin B12 levels (P = 0·01) with a higher proportion of women in this category having below-recommended levels of serum folate (P < 0·05).

Alcohol consumption, especially heavy drinking patterns, may compromise nutritional status of women of childbearing age.

Ready-to-eat (RTE) cereal is an important source of nutrients in the American diet. Recent regulatory changes to labelling requirements may impact the fortification of RTE cereal. We used an evidence-based approach to optimize the fortification of RTE cereal considering current dietary patterns and nutrition policy.

A US modelling study of cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) 2013–2014. The percentage of the population below the Estimated Average Requirement (EAR) and above the Upper Tolerable Intake Level (UL) was modelled under three scenarios: baseline, zero fortification and optimized fortification.

USA.

Toddlers aged 1–3 years, n 559; children aged 4–12 years, n 1540; adolescents aged 13–18 years, n 992; and adults aged ≥19 years, n 576.

Comparing current with optimized fortification, nutrient/100 g RTE cereal decreased for vitamin A, thiamin, riboflavin, niacin, vitamin B6, folic acid, vitamin B12, Ca and Fe (by 2–82 %). The amount of vitamins C and D increased (by 13 and 50 %, respectively). Among RTE cereal eaters, these changes resulted in modest increases in the percentage of the population aged ≥1 year below the EAR (+0·5 to +11·5 percentage points). Decreases were observed in the percentage of the population above the UL.

Fortification of RTE cereal can be optimized to provide key nutrients and minimize the percentage of the population below the EAR and above the UL. Dietary intake modelling is useful to ensure that RTE cereal continues to help the population meet their nutrient needs.

To identify a body fat percentage (%BF) threshold related to an adverse cardiometabolic profile and its surrogate BMI cut-off point.

Cross-sectional study.

Two public schools in poor urban areas on the outskirts of Guatemala City.

A convenience sample of ninety-three healthy, prepubertal, Ladino children (aged 7–12 years).

Spearman correlations of cardiometabolic parameters were higher with %BF than with BMI-for-age Z-score. BMI-for-age Z-score and %BF were highly correlated (r=0·84). The %BF threshold that maximized sensitivity and specificity for predicting an adverse cardiometabolic profile (elevated homeostasis model assessment–insulin resistance index and/or total cholesterol:HDL-cholesterol ratio) according to receiver operating characteristic curve analysis was 36 %. The BMI-for-age Z-score cut-off point that maximized the prediction of BF ≥ 36 % by the same procedure was 1·5. The area under the curve (AUC) for %BF and for BMI data showed excellent accuracy to predict an adverse cardiometabolic profile (AUC 0·93 (sd 0·04)) and excess adiposity (AUC 0·95 (sd 0·02)).

Since BMI standards have limitations in screening for adiposity, specific cut-off points based on ethnic-/sex- and age-specific %BF thresholds are needed to better predict an adverse cardiometabolic profile.

The relationship between caesarean sections (C-sections) and infant feeding varies between different samples and indicators of feeding. The current study aimed to determine the relationship between C-sections and five indicators of infant milk feeding (breast-feeding within 1 h after delivery, at the time of the survey (current) and ever; milk-based prelacteal feeds; and current non-breast milk use) over time in a country with a rapidly rising C-section rate.

Secondary data analysis on cross-sectional data from Demographic and Health Surveys from six different time points between 1986 and 2013.

Dominican Republic.

Infants under 6 months of age.

Over 90 % of infants were ever breast-fed in each survey sample. However, non-breast milk use has expanded over time with a concomitant drop in predominant breast-feeding. C-section prevalence has increased over time reaching 63 % of sampled infants in the most recent survey. C-sections remained significantly related to three infant feeding practices – the child not put to the breast within 1 h after delivery, milk-based prelacteal feeds and current non-breast milk use – in multivariate models that included sociodemographic control variables. However, current non-breast milk use was no longer related to C-sections when milk-based prelacteal feeds were factored into the model.

Reducing or avoiding milk-based prelacteal feeds, particularly among those having C-sections, may improve subsequent breast-feeding patterns. Simultaneously, efforts are needed to understand and help reduce the exceptionally high C-section rate in the Dominican Republic.

This study aimed to analyse the relationship between vitamin D deficiency and the season when the blood sample was obtained from subjects with chronic hepatitis C (CHC) infection.

A cross-sectional study was conducted on a representative sample. Vitamin D deficiency was defined as a serum 25-hydroxyvitamin D [25(OH)D] concentration <50 nmol/l, based on the values set forth by the Endocrine Society guideline for higher-risk populations. Seasonality was defined according to solstices and equinoxes. The association of seasonality and clinical/laboratory characteristics with vitamin D deficiency was assessed using a multivariate logistic regression analysis.

NUPAIG Viral Hepatitis Outpatient Clinic of the Universidade Federal de São Paulo – Brazil.

Adult subjects with CHC infection (n 306).

The prevalence of vitamin D deficiency was 16 %, whereas the median serum 25(OH)D concentration was 87 (interquartile range, 59; third quartile = 118) nmol/l. Serum concentration was consistently lower in samples collected in spring and winter than in other seasons. In multivariate analysis, vitamin D deficiency was found to be independently associated with male gender, serum albumin concentration and with samples drawn in winter and spring.

The findings show not only the relevance to consider season as a factor influencing 25(OH)D concentration but also the need to actively screen for hypovitaminosis D in all patients with CHC infection, especially in females and those with low albumin concentration.