The prevention of malnutrition in children under two approach (PM2A), women’s empowerment and agricultural interventions have not been widely evaluated in relation to child diet and nutrition outcomes. The present study evaluated the effectiveness of PM2A, women’s empowerment groups (WEG), farmer field schools (FFS) and farmer-to-farmer training (F2F).

Community-matched quasi-experimental design; outcome measures included children’s dietary diversity, stunting and underweight.

Communities in South Kivu, Democratic Republic of the Congo.

A total of 1312 children from 1113 households.

Achievement of minimum dietary diversity ranged from 22·9 to 39·7 % and was significantly greater in the PM2A and FFS groups (P<0·05 for both comparisons). Fewer than 7·6 and 5·8 % of children in any group met minimum meal frequency and acceptable diet targets; only the PM2A group differed significantly from controls (P<0·05 for both comparisons). The endline stunting prevalence ranged from 54·7 % (PM2A) to 69·1 % (F2F) and underweight prevalence from 22·3 % (FFS) to 34·4 % (F2F). No significant differences were found between intervention groups and controls for nutrition measures; however, lower prevalences of stunting (PM2A, −4 %) and underweight (PM2A and FFS, −7 %) suggest potential impact on nutrition outcomes.

Children in the PM2A and FFS groups had better child diet measures and nutrition outcomes with the best results among PM2A beneficiaries. Interventions that address multiple aspects nutrition education, health, ration provision and income generation may be more effective in improving child diet and nutrition in resource-poor settings than stand-alone approaches.

Food insecurity (FI) is a major public health problem in Lebanon, a small middle-income country with the highest refugee per capita concentration worldwide and prolonged political and economic challenges. The present study aimed to measure the prevalence and sociodemographic correlates of household FI and to explore the association of household FI with anthropometric measures of children and their mothers.

Cross-sectional survey (2014–2015).

Lebanon.

Nationally representative sample of Lebanese households with 4–18-year-old-children and their mothers (n 1204).

FI prevalence (95 % CI), measured using the Arabic-translated, validated Household Food Insecurity Access Scale, was found to be 49·3 (44·0, 54·6) % in the study sample. Mild, moderate and severe FI were found in 7·0 (5·5, 9·2) %, 23·3 (20·1, 26·8) % and 18·9 (14·9, 23·5) % of households, respectively. Multiple regression analysis showed that low maternal and paternal education, unemployment and crowding were significant correlates of household FI (P<0·05). No significant associations were observed between FI and anthropometric measures of children and their mothers, after adjusting for other socio-economic correlates. Food-insecure households reported various mechanisms to cope with food shortage, such as reducing the number of meals/d (49·6 %), borrowing food (54·4 %), spending savings (34·5 %) and withdrawing children from schools (8·0 %).

FI exists among a remarkable proportion of Lebanese households with children. Correlates of household FI should be considered when designing social welfare policies and public health programmes to promote more sustainable, resilient and healthier livelihoods among vulnerable individuals.

The KIDMED questionnaire was published in 2004 to evaluate adherence to the Mediterranean diet (MD) in children and adolescents. In the last 14 years, several respected official dietetics and health organizations have recommended appropriate dietary habits, including eating whole grains and consuming whole fruit rather than fruit juice. We propose an update of the KIDMED questionnaire.

Based on the scientific evidence, the present commentary suggests some changes to the KIDMED questionnaire.

We suggest deleting ‘or fruit juice’ from the first question of the questionnaire, rewording the question as ‘Takes a fruit every day’, and assigning a positive value of +1. We suggest adding ‘whole-grain’ to the eighth question of the questionnaire, rewording the question as ‘Consumes whole-grain pasta or whole-grain rice almost every day (5 or more times per week)’, and assigning a positive value of +1. Further, we propose to add ‘whole cereals or whole grains’ to the ninth question of the questionnaire, reword the question as ‘Has whole cereals or whole grains (whole-meal bread, etc.) for breakfast’, and assign a positive value of +1.

The present commentary examines some signs of a paradigm shift about fruit juice and whole grains after the development of the KIDMED questionnaire. The changes are of paramount importance in order to make the questionnaire an updated tool to evaluate adherence to the MD.

The ongoing demographic, nutritional and epidemiological transitions in sub-Saharan Africa highlight the importance of monitoring overweight and obesity. We aimed to assess the prevalence of overweight and obesity in Mozambique in 2014/2015 and compare the estimates with those obtained in 2005.

Cross-sectional study conducted in 2014/2015, following the WHO Stepwise Approach to Chronic Disease Risk Factor Surveillance (STEPS). Prevalence estimates with 95 % CI were computed for different categories of BMI and abdominal obesity, along with age-, education- and income-adjusted OR. The age-standardized prevalence in the age group 25–64 years was compared with results from a STEPS survey conducted in 2005.

Mozambique.

Representative sample of the population aged 18–64 years (n 2595).

Between 2005 and 2014/2015, the prevalence of overweight and obesity increased from 18·3 to 30·5 % (P < 0·001) in women and from 11·7 to 18·2 % (P < 0·001) in men. Abdominal obesity increased among women (from 9·4 to 20·4 %, P < 0·001), but there was no significant difference among men (1·5 v. 2·1 %, P = 0·395). In 2014/2015, the prevalence of overweight and obesity was more than twofold higher in urban areas and in women; in the age group 18–24 years, it was highest in urban women and lowest in rural men.

In Mozambique, there was a steep increase in the prevalence of overweight and obesity among adults between 2005 and 2014/2015. Overweight and obesity are more prevalent in urban areas and among women, already affecting one in five urban women aged 18–24 years.

Alcohol consumption may be wrongly estimated because of inaccurate information on actual portion sizes. We compared portion sizes of wine, fortified wine and straight spirits poured at home with the Dutch standard drink sizes.

Participants measured portion sizes of wine, fortified wine and straight spirits at home up to a maximum of three times and reported these via an online survey. Average portion sizes (in millilitres) were compared with the Dutch standard drink sizes. Portion sizes were compared between subgroups of gender, age, BMI and level of education, and for different glass types.

Wageningen and surroundings, the Netherlands.

Adults (N 201) living in the Netherlands and consuming wine and/or straight spirits at home at least once per week.

Participants poured on average 129·4 ml white wine and 131·7 ml red wine, which is significantly more than the standard of 100 ml. For fortified wine, the average poured amount was 94·0 ml, significantly more than the standard of 50 ml; also for straight spirits the poured amount was significantly more than the standard (47·0 v. 35 ml).

Participants’ portion sizes of wine, fortified wine and straight spirits poured at home were on average larger than the Dutch standard drink sizes. This suggests that at-home alcohol consumption in the Netherlands is underestimated.

To use nationally representative data to evaluate changes in nutrient and food intakes among children and women participating in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) before v. after implementation of the 2009 food package revisions.

Cross-sectional study using National Health and Nutrition Examination Survey (NHANES) data. NHANES survey cycles were pooled to assess nutrient/food group intakes among household WIC participants pre- (2005–2008) v. post- (2011–2014) implementation of the 2009 food package revisions.

Information regarding WIC participation and 24 h diet recalls were collected at NHANES examination.

Children 24–59 months old and women 19–50 years of age in households receiving WIC benefits in the NHANES 2005–2008 and 2011–2014.

Comparison of WIC participants’ dietary intake pre- and post-revision demonstrated changes in mean population intakes of both nutrients and food groups. The food package revisions were associated with increased intakes of fibre (P = 0·004 children, P = 0·013 women) and whole grains (P = 0·001 children, P = 0·087 women). For children only, vegetable intake shifted to higher consumption of legumes (P = 0·013) and decreased intake of starchy vegetables (P = 0·042). No significant changes were observed for dairy or fruit intake of children or women.

The study provides insight to what goals of the package revisions were achieved. The findings can inform future food package revisions.

We aimed to examine missing data in FFQ and to assess the effects on estimating dietary intake by comparing between multiple imputation and zero imputation.

We used data from the Okazaki Japan Multi-Institutional Collaborative Cohort (J-MICC) study. A self-administered questionnaire including an FFQ was implemented at baseline (FFQ1) and 5-year follow-up (FFQ2). Missing values in FFQ2 were replaced by corresponding FFQ1 values, multiple imputation and zero imputation.

A methodological sub-study of the Okazaki J-MICC study.

Of a total of 7585 men and women aged 35–79 years at baseline, we analysed data for 5120 participants who answered all items in FFQ1 and at least 50% of items in FFQ2.

Among 5120 participants, the proportion of missing data was 3·7%. The increasing number of missing food items in FFQ2 varied with personal characteristics. Missing food items not eaten often in FFQ2 were likely to represent zero intake in FFQ1. Most food items showed that the observed proportion of zero intake was likely to be similar to the probability that the missing value is zero intake. Compared with FFQ1 values, multiple imputation had smaller differences of total energy and nutrient estimates, except for alcohol, than zero imputation.

Our results indicate that missing values due to zero intake, namely missing not at random, in FFQ can be predicted reasonably well from observed data. Multiple imputation performed better than zero imputation for most nutrients and may be applied to FFQ data when missing is low.

Assessing dietary exposure or nutrient intakes requires detailed dietary data. These data are collected in France by the cross-sectional Individual and National Studies on Food Consumption (INCA). In 2014–2015, the third survey (INCA3) was launched in the framework of the European harmonization process which introduced major methodological changes. The present paper describes the design of the INCA3 survey, its participation rate and the quality of its dietary data, and discusses the lessons learned from the methodological adaptations.

Two representative samples of adults (18–79 years old) and children (0–17 years old) living in mainland France were selected following a three-stage stratified random sampling method using the national census database.

Food consumption was collected through three non-consecutive 24 h recalls (15–79 years old) or records (0–14 years old), supplemented by an FFQ. Information on food supplement use, eating habits, physical activity and sedentary behaviours, health status and sociodemographic characteristics were gathered by questionnaires. Height and body weight were measured.

In total, 4114 individuals (2121 adults, 1993 children) completed the whole protocol.

Participation rate was 41·5% for adults and 49·8% for children. Mean energy intake was estimated as 8795 kJ/d (2102 kcal/d) in adults and 7222 kJ/d (1726 kcal/d) in children and the rate of energy intake under-reporters was 17·8 and 13·9%, respectively.

Following the European guidelines, the INCA3 survey collected detailed dietary data useful for food-related and nutritional risk assessments at national and European level. The impact of the methodological changes on the participation rate should be further studied.

The eButton takes frontal images at 4s intervals throughout the day. A three-dimensional manually administered wire mesh procedure has been developed to quantify portion sizes from the two-dimensional images. The present paper reports a test of the inter-rater reliability and validity of use of the wire mesh procedure.

Seventeen foods of diverse shapes and sizes served on plates, bowls and cups were selected to rigorously test the portion assessment procedure. A dietitian not involved in inter-rater reliability assessment used standard cups to independently measure the quantities of foods to generate the ‘true’ value for a total of seventy-five ‘served’ and seventy-five smaller ‘left’ images with diverse portion sizes.

The images appeared on the computer to which the digital wire meshes were applied.

Two dietitians and three engineers independently estimated portion size of the larger (‘served’) and smaller (‘left’) images for the same foods.

The engineers had higher reliability and validity than the dietitians. The dietitians had lower reliabilities and validities for the smaller more irregular images, but the engineers did not, suggesting training could overcome this limitation. The lower reliabilities and validities for foods served in bowls, compared with plates, suggest difficulties with the curved nature of the bowls.

The wire mesh procedure is an important step forward in quantifying portion size, which has been subject to substantial self-report error. Improved training procedures are needed to overcome the identified problems.

Various indicators and assessment tools exist to measure diets and nutrition. Most studies eventually rely on one approach. Relatively little is known about how closely results match when different tools are used in the same context. The present study compares and correlates different indicators for the same households and individuals to better understand which indicators can be used as proxies for others.

A survey of households and individuals was carried out in Kenya in 2015. Seven-day food consumption and 24 h dietary recalls were administered at household and individual level, respectively. Individual height and weight measures were taken. Different indicators of food access (energy consumption, household dietary diversity scores), dietary quality (individual dietary diversity scores, micronutrient intakes) and nutrition (anthropometric indicators) were calculated and correlated to evaluate associations.

Rural farm households in western Kenya.

Data collected from 809 households and 1556 individuals living in these households (782 female adults, 479 male adults, 295 children aged 6–59 months).

All measures of food access and dietary quality were positively correlated at individual level. Household-level and individual-level dietary indicators were also positively correlated. Correlations between dietary indicators and anthropometric measures were small and mostly statistically insignificant.

Dietary indicators from 7d food consumption recalls at the household level can be used as proxies of individual dietary quality of children and male and female adults. Individual dietary diversity scores are good proxies of micronutrient intakes. However, neither household-level nor individual-level dietary indicators are good proxies of individual nutritional status in this setting.

Reducing the burden of childhood severe acute malnutrition (SAM) is key to improving global child health outcomes. Assessing cost-effectiveness of nutrition interventions remains an important evidence gap. Disability-adjusted life years (DALYs) are a common indicator used in cost-effectiveness analyses. DALYs were established by the Global Burden of Disease (GBD) study. Recent iterations of the GBD have changed the methods used to calculate DALYs by dropping age-weighting and discounting (AD) and updating disability weights (DW). Cost-effectiveness analyses may use either local or international standard life expectancies (LE). Changes in model specifications for calculating DALYs may have implications for cost-effectiveness analyses using DALYs, interpreting historical DALY estimates, and related resource allocation decisions. The present study aimed to quantify the magnitude of change in estimates of DALYs attributable to SAM given recent methodological changes.

From secondary data analysis, using parameter values from routine programme monitoring data for two SAM treatment programmes and published literature, eight calculation models were created to estimate DALYs with and without AD, using different sets of DW, and local v. standard LE.

Different DW had a marginal effect on DALY estimates. Different LE had a small effect when AD was used, but a large effect when AD was not used.

DALY estimates are sensitive to the model used. This complicates comparisons between studies using different models and needs to be accounted for in decision making. It seems sensible for analyses to report results using models with and without AD and using local and standard LE.

The present study aimed to investigate whether the visceral adiposity index (VAI) is an effective predictor to identify unhealthy metabolic phenotype by comparing normal-weight and overweight individuals.

A population-based cross-sectional study. Data were collected by interviews, anthropometric evaluation, dietetic, clinical and laboratory tests. The area under the receiver-operating characteristic curve (AUC) and prevalence ratio (PR), obtained from Poisson regression, were used to compare the predictive capacity of the obesity indicators evaluated (VAI, BMI, waist and neck circumference, waist-to-height and waist-to-hip ratios) and their association with the unhealthy metabolic phenotype. All analyses were stratified by sex and by nutritional status.

Viçosa, Minas Gerais, Brazil.

A total of 854 Brazilian adults (20–59 years old) of both sexes.

VAI was the best predictor for unhealthy metabolic phenotype among men (AUC = 0·865) and women (AUC = 0·843) at normal weight. VAI also had the best predictive capacity among overweight women (AUC = 0·903). Among overweight men, its accuracy (AUC = 0·830) was higher than that of waist-to-hip ratio. In the adjusted regression models, VAI was the indicator most strongly associated with the unhealthy metabolic phenotype, especially among those with normal weight (PR = 6·74; 95 % CI 3·15, 14·42 for men; PR = 7·14; 95 % CI 3·79, 13·44 for women).

VAI has better predictive capacity in detecting unhealthy metabolic phenotype than conventional anthropometric indicators, regardless of nutritional status and sex.

The Brazilian Household Food Insecurity Measurement Scale (EBIA) has eight general/adult items applied in all households and six additional items exclusively asked in households with children and/or adolescents (HHCA). Continuing an investigation programme on the adequacy of model-based cut-off points for EBIA, the present study aims to: (i) explore the capacity of properly stratifying HHCA according to food insecurity (FI) severity level by applying only the eight ‘generic’ items; and (ii) compare it against the fourteen-item scale.

Latent class factor analysis (LCFA) models were applied to the answers to the eight general/adult items to identify latent groups corresponding to FI levels and optimal group-separating cut-off points. Analyses involved a thorough classification agreement evaluation and were performed at the national level and by macro-regions.

Data derived from the cross-sectional Brazilian National Household Sample Survey of 2013.

A nationally representative sample of 116 543 households.

In all households and investigated domains, LCFA detected four distinct household food (in)security groups (food security and three levels of severity of FI) and the same set of cut-off points (1/2, 4/5 and 6/7). Misclassification in the aggregate data was 0·66 % in adult-only households and 1·06 % in HHCA. Comparison of the scale reduced to eight items with the ‘original’ fourteen-item scale demonstrated consistency in the classification. In HHCA, the agreement between both classifications was 96·2 %.

Results indicate the eight ‘generic’ items in HHCA can be reliably used when it is not possible to apply the fourteen-item scale.

To describe the body size and weight, and the nutrition and activity behaviours of sexual and gender minority (SGM) students and compare them with those of exclusively opposite-sex-attracted cisgender students. Male and female SGM students were also compared.

Data were from a nationally representative health survey.

Secondary schools in New Zealand, 2012.

A total of 7769 students, 9 % were SGM individuals.

Overall, weight-control behaviours, poor nutrition and inactivity were common and, in many cases, more so for SGM students. Specifically, male SGM students (adjusted OR; 95 % CI) were significantly more likely to have tried to lose weight (1·95; 1·47, 2·59), engage in unhealthy weight control (2·17; 1·48, 3·19), consume fast food/takeaways (2·89; 2·01, 4·15) and be physically inactive (2·54; 1·65, 3·92), and were less likely to participate in a school sports team (0·57; 0·44, 0·75), compared with other males. Female SGM students (adjusted OR; 95 % CI) were significantly more likely to engage in unhealthy weight control (1·58; 1·20, 2·08), be overweight or obese (1·24; 1·01, 1·53) and consume fast food/takeaways (2·19; 1·59, 3·03), and were less likely to participate in a school sports team (0·62; 0·50, 0·76), compared with other females. Generally, female SGM students were more negatively affected than comparable males, except they were less likely to consume fast food/takeaways frequently (adjusted OR; 95 % CI: 0·62; 0·40, 0·96).

SGM students reported increased weight-control behaviours, poor nutrition and inactivity. Professionals, including public health nutritionists, must recognize and help to address the challenges facing sexual and gender minorities.

To verify the previously untested assumption that eating more salad enhances vegetable intake and determine if salad consumption is in fact associated with higher vegetable intake and greater adherence to the Dietary Guidelines for Americans (DGA) recommendations.

Individuals were classified as salad reporters or non-reporters based upon whether they consumed a salad composed primarily of raw vegetables on the intake day. Regression analyses were applied to calculate adjusted estimates of food group intakes and assess the likelihood of meeting Healthy US-Style Food Pattern recommendations by salad reporting status.

Cross-sectional analysis of data collected in 2011–2014 in What We Eat in America, the dietary intake component of the National Health and Nutrition Examination Survey.

US adults (n 9678) aged ≥20 years (excluding pregnant and lactating women).

On the intake day, 23 % of adults ate salad. The proportion of individuals reporting salad varied by sex, age, race, income, education and smoking status (P<0·001). Compared with non-reporters, salad reporters consumed significantly larger quantities of vegetables (total, dark green, red/orange and other), which translated into a two- to threefold greater likelihood of meeting recommendations for these food groups. More modest associations were observed between salad consumption and differences in intake and likelihood of meeting recommendations for protein foods (total and seafood), oils and refined grains.

Study results confirm the DGA message that incorporating more salads in the diet is one effective strategy (among others, such as eating more cooked vegetables) to augment vegetable consumption and adherence to dietary recommendations concerning vegetables.

The current paper describes methods of evaluating dietary habits of Sri Lankan adolescents based on the Diet Quality Index–International (DQI-I), which has been used in multiple international studies to describe dietary variety, moderation, adequacy and balance. The paper describes the method for calculating DQI-I scores and examines associations between DQI-I scores and dietary intake, and between DQI-I scores and sociodemographic factors.

The study followed a three-stage cluster randomised sampling method. Dietary intake was collected using a validated FFQ. Estimated micronutrient intakes and number of servings consumed were described according to DQI-I quartiles. DQI-I scores were tabulated according to sociodemographic characteristics. Multilevel modelling was used to examine associations between sociodemographic characteristics and DQI-I scores.

Secondary schools in rural Sri Lanka.

Adolescents (n 1300) aged 12–18 years attending secondary school in rural Sri Lanka.

DQI-I scores increased with consumption of fat (% energy), cholesterol (mg/d), energy (kJ/d), protein (% energy), Na (mg), dietary fibre (g), Fe (mg) and Ca (mg), but decreased according to percentage of energy coming from carbohydrates. DQI-I scores were significantly lower among females and students with lower levels of maternal education.

Policies are needed to increase the availability and affordability of nutrient-rich foods such as fruits, vegetables and high-protein foods, particularly to students from lower socio-economic backgrounds. Significant differences in diet quality according to sex, socio-economic status and district suggest there is potential for targeted interventions that aim to increase access to affordable, nutrient-rich foods among these groups.

To conduct nutrition-related analyses on large-scale health surveys, two aspects of the survey must be incorporated into the analysis: the sampling weights and the sample design; a practice which is not always observed. The present paper compares three analyses: (1) unweighted; (2) weighted but not accounting for the complex sample design; and (3) weighted and accounting for the complex design using replicate weights.

Descriptive statistics are computed and a logistic regression investigation of being overweight/obese is conducted using Stata.

Cross-sectional health survey with complex sample design where replicate weights are supplied rather than the variables containing sample design information.

Responding adults from the National Nutrition and Physical Activity Survey (NNPAS) part of the Australian Health Survey (2011–2013).

Unweighted analysis produces biased estimates and incorrect estimates of se. Adjusting for the sampling weights gives unbiased estimates but incorrect se estimates. Incorporating both the sampling weights and the sample design results in unbiased estimates and the correct se estimates. This can affect interpretation; for example, the incorrect estimate of the OR for being a current smoker in the unweighted analysis was 1·20 (95 % CI 1·06, 1·37), t= 2·89, P = 0·004, suggesting a statistically significant relationship with being overweight/obese. When the sampling weights and complex sample design are correctly incorporated, the results are no longer statistically significant: OR = 1·06 (95 % CI 0·89, 1·27), t = 0·71, P = 0·480.

Correct incorporation of the sampling weights and sample design is crucial for valid inference from survey data.

There is an urgent need to identify and develop cross-sectoral policies which promote and support a healthy, safe and sustainable food system. To help shape the political agenda, a critical first step is a shared definition of such a system among policy makers across relevant sectors. The aim of the present study was to determine how Australian policy actors define, and contribute to, a healthy, safe and sustainable food system.

A Delphi survey, consisting of two rounds, was conducted. Participants were asked how they define, and contribute to, a healthy, safe and sustainable food system (Round 1) and indicate their level of agreement with summary statements (Round 2).

This was an online Delphi survey conducted in Australia.

Twenty-nine and fourteen multisectoral and multilevel policy makers completed Round 1 and Round 2, respectively.

The definition included food processing regulation, environmentally friendly food production and access to nutritious food. All agreed that it was important for them to improve access and supply of healthy food and ensure healthy planning principles are applied.

There were cross-sectoral differences in definitions and contributions; however, critical consensus was achieved. The study contributes to the definition of key elements of a cross-sectoral food and nutrition policy to meet today’s environmental, health, social and economic challenges; however, further research using a more representative multisectoral sample is warranted.