The association between dietary diversity and development among children under 24 months in rural Uganda: analysis of a cluster-randomised maternal education trial.

OBJECTIVE: To assess the association between dietary diversity and development among children under 24 months in rural Uganda and to establish other factors that could be associated with development among these children. DESIGN: A secondary data analysis of a cluster-randomised controlled maternal education trial (n 511) was conducted on a sub-sample of 385 children. We used adjusted ORs (AORs) to assess the associations of dietary diversity scores (DDS) and other baseline factors assessed at 6-8 months with child development domains (communication, fine motor, gross motor, personal-social and problem solving) at 20-24 months of age. SETTING: Rural areas in Kabale and Kisoro districts of south-western Uganda. PARTICIPANTS: Children under 24 months. RESULTS: After multivariable analysis, DDS at 6-8 months were positively associated with normal fine motor skills development at 20-24 months (AOR = 1·18; 95 % CI 1·01, 1·37; P = 0·02). No significant association was found between DDS and other development domains. Children who were not ill at 6-8 months had higher odds of developing normal communication (AOR = 1·73; 95 % CI 1·08, 2·77) and gross motor (AOR = 1·91; 95 % CI 1·09, 3·36) skills than sick children. Girls had lower odds of developing normal gross motor skills compared with boys (AOR = 0·58; 95 % CI 0·33, 0·98). Maternal/caregiver nutritional education intervention was positively associated with development of gross motor, fine motor and problem-solving skills (P-values < 0·05). CONCLUSIONS: We found an association between child DDS at 6-8 months and improvement in fine motor skills development at 20-24 months. Child illness status, maternal/caregiver nutritional education intervention and sex were other significant baseline predictors of child development at 20-24 months.

Factors associated with dietary diversity and length-for-age z-score in rural Ethiopian children aged 6-23 months: A novel approach to the analysis of baseline data from the Sustainable Undernutrition Reduction in Ethiopia evaluation.

Infants and young children need diets high in nutrient density and diversity to meet the requirements of rapid growth and development. Our aim was to evaluate sociodemographic, agricultural diversity, and women's empowerment factors associated with child dietary diversity and length-for-age z-score (LAZ) in children 6-23 months using data collected as part of the Sustainable Undernutrition Reduction in Ethiopia (SURE) evaluation study baseline survey in May-June 2016. We here present a novel analysis using directed acyclic graphs (DAGs) to represent our assumptions about the causal influences between the factors of interest and the outcomes. The causal diagrams enabled the identification of variables to be included in multivariable analysis to estimate the total effects of factors of interest using ordinal logistic/linear regression models. We found that child dietary diversity was positively associated with LAZ with children consuming 4 or more food groups having on average an LAZ score 0.42 (95% CI [0.08, 0.77]) higher than those consuming no complementary foods. Household production of fruits and vegetables was associated with both increased child dietary diversity (adjusted OR 1.16; 95% CI [1.09, 1.24]) and LAZ (adjusted mean difference 0.05; 95% CI [0.005, 0.10]). Other factors positively associated with child dietary diversity included age in months, socio-economic status, maternal education, women's empowerment and dietary diversity, paternal childcare support, household food security, fruit and vegetable cultivation, and land ownership. LAZ was positively associated with age, socio-economic status, maternal education, fruit and vegetable production, and land ownership.

New pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems.

For the estimation of the soil organic carbon stocks, bulk density (BD) is a fundamental parameter but measured data are usually not available especially when dealing with legacy soil data. It is possible to estimate BD by applying pedotransfer function (PTF). We applied different estimation methods with the aim to define a suitable PTF for BD of arable land for the Mediterranean Basin, which has peculiar climate features that may influence the soil carbon sequestration. To improve the existing BD estimation methods, we used a set of public climatic and topographic data along with the soil texture and organic carbon data. The present work consisted of the following steps: i) development of three PTFs models separately for top (0-0.4 m) and subsoil (0.4-1.2 m), ii) a 10-fold cross-validation, iii) model transferability using an external dataset derived from published data. The development of the new PTFs was based on the training dataset consisting of World Soil Information Service (WoSIS) soil profile data, climatic data from WorldClim at 1 km spatial resolution and Shuttle Radar Topography Mission (SRTM) digital elevation model at 30 m spatial resolution. The three PTFs models were developed using: Multiple Linear Regression stepwise (MLR-S), Multiple Linear Regression backward stepwise (MLR-BS), and Artificial Neural Network (ANN). The predictions of the newly developed PTFs were compared with the BD calculated using the PTF proposed by Manrique and Jones (MJ) and the modelled BD derived from the global SoilGrids dataset. For the topsoil training dataset (N = 129), MLR-S, MLR-BS and ANN had a R2 0.35, 0.58 and 0.86, respectively. For the model transferability, the three PTFs applied to the external topsoil dataset (N = 59), achieved R2 values of 0.06, 0.03 and 0.41. For the subsoil training dataset (N = 180), MLR-S, MLR-BS and ANN the R2 values were 0.36, 0.46 and 0.83, respectively. When applied to the external subsoil dataset (N = 29), the R2 values were 0.05, 0.06 and 0.41. The cross-validation for both top and subsoil dataset, resulted in an intermediate performance compared to calibration and validation with the external dataset. The new ANN PTF outperformed MLR-S, MLR-BS, MJ and SoilGrids approaches for estimating BD. Further improvements may be achieved by additionally considering the time of sampling, agricultural soil management and cultivation practices in predictive models.

UK's fruit and vegetable supply increasingly dependent on imports from climate vulnerable producing countries.

Domestic contribution to total fruit and vegetable supply in the UK decreased from 42% in 1987 to 22% in 2013. The impact of this changing pattern of UK fruit and vegetable imports, from countries with different vulnerabilities to projected climate change, on the resilience of the UK food system is currently unknown. Here, we used the UN FAO bilateral trade database over a period of 27 years to estimate changes in fruit and vegetable supply in the UK, and the NDGAIN climate vulnerability categories to assess the climate vulnerability of countries supplying fruit and vegetables to the UK. The diversity of fruit and vegetable supply has increased from 21 crops, comprising the top 80% of all fruit and vegetables supplied to the UK in 1987, to 34 crops in 2013. The contribution of tropical fruits has rapidly increased while that of more traditional vegetables, such as cabbages and carrots, has declined. The proportion of fruit and vegetables supplied to the UK market from climate vulnerable countries increased from 20% in 1987 to 32% in 2013. Sensitivity analyses - using climatic and freshwater availability indicators - supported these findings. Increased reliance on fruit and vegetable imports from climate vulnerable countries could negatively affect the availability, price and consumption of fruit and vegetables in the UK, affecting dietary intake and health particularly of older people and low-income households. Inter-sectoral actions across agriculture, health, environment, and trade are critical in both the UK and countries that export to the UK to increase the resilience of the food system, and support population health.

Precision of Measurements Performed by a Cadre of Anthropometrists Trained for a Large Household Nutrition Survey in Ethiopia.

BACKGROUND: Well-trained anthropometrists are essential for the delivery of high-quality anthropometric data used to evaluate public health nutrition interventions. Scant data are currently available on the precision of data collected by large teams of anthropometrists employed for nutrition surveys in low-income country settings. OBJECTIVES: The purpose of this study was to assess the precision of child midupper arm circumference (MUAC) and length/height measurements taken by fieldworkers training for nutrition survey deployment. METHODS: Following 3 d of training, an anthropometry standardization exercise was conducted in small teams of trainees at 7 sites in the Amhara region of Ethiopia. In groups of 2-4, trainee anthropometrists (n = 79) each measured 16 children aged 6-47 mo (n = 336) twice for MUAC and length/height. Both intraobserver and interobserver precision were analyzed using technical error of measurement (TEM), relative TEM, coefficient of reliability (R), and repeatability metrics. Bland-Altman limits of agreement were calculated for intraobserver measurements. RESULTS: Intraobserver TEM was between 0.00 and 0.57 cm for MUAC (Bland-Altman 95% limits of agreement: -0.50 to 0.54 cm) and between 0.04 and 2.58 cm for length/height measurements (Bland-Altman 95% limits of agreement: -1.43 to 1.41 cm). Interobserver TEM was between 0.09 and 0.43 cm for MUAC and between 0.06 and 2.98 cm for length/height measurements. A high proportion of trainees achieved intraobserver R >0.95 (MUAC: 95%; length/height: 97%). Most teams also achieved interobserver R >0.95 (MUAC: 90%; length/height: 95%). CONCLUSIONS: Large numbers of anthropometrists (>75) in low-income settings can attain satisfactory precision in anthropometry following training and standardization. These protocols permit researchers to assess trainees, identify individuals who have not achieved the desired level of precision, and retrain or adjust roles prior to survey deployment.

The Water Footprint of Diets: A Global Systematic Review and Meta-analysis.

Agricultural water requirements differ between foods. Population-level dietary preferences are therefore a major determinant of agricultural water use. The "water footprint" (WF) represents the volume of water consumed in the production of food items, separated by water source; blue WF represents ground and surface water use, and green WF represents rain water use. We systematically searched for published studies using the WF to assess the water use of diets. We used the available evidence to quantify the WF of diets in different countries, and grouped diets in patterns according to study definition. "Average" patterns equated to those currently consumed, whereas "healthy" patterns included those recommended in national dietary guidelines. We searched 7 online databases and identified 41 eligible studies that reported the dietary green WF, blue WF, or total WF (green plus blue) (1964 estimates for 176 countries). The available evidence suggests that, on average, European (170 estimates) and Oceanian (18 estimates) dietary patterns have the highest green WFs (median per capita: 2999 L/d and 2924 L/d, respectively), whereas Asian dietary patterns (98 estimates) have the highest blue WFs (median: 382 L/d per capita). Foods of animal origin are major contributors to the green WFs of diets, whereas cereals, fruits, nuts, and oils are major contributors to the blue WF of diets. "Healthy" dietary patterns (425 estimates) had green WFs that were 5.9% (95% CI: -7.7, -4.0) lower than those of "average" dietary patterns, but they did not differ in their blue WFs. Our review suggests that changes toward healthier diets could reduce total water use of agriculture, but would not affect blue water use. Rapid dietary change and increasing water security concerns underscore the need for a better understanding of the amount and type of water used in food production to make informed policy decisions.

United Kingdom's fruit and vegetable supply is increasingly dependent on imports from climate-vulnerable producing countries.

The contribution of domestic production to total fruit and vegetable supply in the UK decreased from 42% in 1987 to 22% in 2013. The impact of this changing pattern of UK fruit and vegetable imports from countries with different vulnerabilities to projected climate change on the resilience of the UK food system is currently unknown. Here, we used the Food and Agriculture Organization of the United Nations (FAO) bilateral trade database over a period of 27 years to estimate changes in fruit and vegetable supply in the UK and the Notre Dame Global Adaptation Initiative (ND-GAIN) climate vulnerability categories to assess the climate vulnerability of countries supplying fruit and vegetables to the UK. The diversity of fruit and vegetable supply has increased. In 1987, 21 crops constituted the top 80% of all fruit and vegetables supplied to the UK; in 2013, it was 34 crops. The contribution of tropical fruits has rapidly increased while that of more traditional vegetables, such as cabbages and carrots, has declined. The proportion of fruit and vegetables supplied to the UK market from climate-vulnerable countries increased from 20% in 1987 to 32% in 2013. Sensitivity analyses using climatic and freshwater availability indicators supported these findings. Increased reliance on fruit and vegetable imports from climate-vulnerable countries could negatively affect the availability, price and consumption of fruit and vegetables in the UK, affecting dietary intake and health, particularly of older people and low-income households. Inter-sectoral actions across agriculture, health, environment and trade are critical in both the UK and countries that export to the UK to increase the resilience of the food system and support population health.

The fidelity and dose of message delivery on infant and young child feeding practice and nutrition sensitive agriculture in Ethiopia: a qualitative study from the Sustainable Undernutrition Reduction in Ethiopia (SURE) programme.

BACKGROUND: In Ethiopia, 38% of children under 5 years of age are stunted (low height for age). A novel government-led intervention called the Sustainable Undernutrition Reduction in Ethiopia (SURE) aims to tackle the burden of stunting by improving complementary feeding and dietary diversity among young children. The SURE programme design applies a transtheoretical model of behaviour change, whereby exposure to recommended infant and young child feeding (IYCF) and nutrition-sensitive agriculture messages is a first stage to adopting key behaviours. This qualitative study explored the fidelity and dose of the IYCF and nutrition-sensitive agriculture messages delivered by extension workers. METHODS: A qualitative study was conducted across four regions in Ethiopia (Oromiya, Amhara, SNNP and Tigray) between April and October 2017. Across the four regions, 81 key informant interviews, 90 FGDs and 81 observations were conducted with 180 extension workers, 18 development agents and 54 mother-father pairs. Digitally recorded audio files were transcribed verbatim, and the data were analysed based on a framework analysis approach using NVivo (version 12) by coding and categorising texts into major themes and sub-themes. RESULTS: SURE target households had the intended exposure to messages about exclusive breastfeeding, timing of initiation of complementary feeding, food groups, diversified food consumption, irrigation, rearing small animals and vegetables. Few households reported receiving messages on the content or frequency of complementary feeding of a child beyond 6 months of age. Frequency of household visits and hence exposure to SURE messages was also variable. Agricultural messages delivered during household visits focussed on improving standard agricultural practices and rarely covered the importance of nutrition-sensitive agriculture to improve household or child nutrition. CONCLUSION: Despite variability observed in the breadth and depth of messages delivered, large-scale behaviour change communication programmes can achieve moderate to good message exposure among target groups. Qualitative data provide an in-depth insight into fidelity and may supplement our understanding of programme roll-out and implementation. Further research is required to understand longer-term message saturation including frequency and reach.

The effects of crop diversity and crop type on biological diversity in agricultural landscapes: a systematic review protocol.

Agricultural intensification is a well-known driver of biodiversity loss. Crop diversity and its changes over space and time drive land use intensity and impact biodiversity of agricultural landscapes, while meeting the growing demand for human food and nutrition resources. Loss of biodiversity in agricultural landscapes reduces primary productivity and soil health and erodes a range of other ecosystem services. At present, while having partial understanding of many processes, we lack a general synthesis of our knowledge of the links between crop diversity and biodiversity. We will therefore conduct a systematic review by searching multiple agriculture, ecology and environmental science databases (e.g. Web of Science, Geobase, Agris, AGRICOLA, GreenFILE) to identify studies reporting the impacts of crop diversity and crop type on the biological diversity of fauna and flora in agricultural landscapes. Response variables will include metrics of species richness, abundance, assemblage, community composition and species rarity. Screening, data coding and data extraction will be carried out by one researcher and a subset will be independently carried out by a second researcher for quality control. Study quality and risk of bias will be assessed. Evidence will first be mapped to species/taxa then assessed for further narrative or statistical synthesis based on comparability of results and likely robustness. Gaps in the evidence base will also be identified with a view toward future research and policy directions for nutrition, food systems and ecology.

Sustainable Undernutrition Reduction in Ethiopia (SURE) evaluation study: a protocol to evaluate impact, process and context of a large-scale integrated health and agriculture programme to improve complementary feeding in Ethiopia.

INTRODUCTION: Improving complementary feeding in Ethiopia requires special focus on dietary diversity. The Sustainable Undernutrition Reduction in Ethiopia (SURE) programme is a government-led multisectoral intervention that aims to integrate the work of the health and agriculture sectors to deliver a complex multicomponent intervention to improve child feeding and reduce stunting. The Federal Ministries of Health and Agriculture and Natural Resources implement the intervention. The evaluation aims to assess a range of processes, outcomes and impacts. METHODS AND ANALYSIS: The SURE evaluation study is a theory-based, mixed methods study comprising impact and process evaluations. We hypothesise that the package of SURE interventions, including integrated health and agriculture behaviour change communication for nutrition, systems strengthening and multisectoral coordination, will result in detectable differences in minimum acceptable diet in children 6-23 months and stunting in children 24-47 months between intervention and comparison groups. Repeated cross-sectional household surveys will be conducted at baseline and endline to assess impact. The process will be assessed using observations, key informant interviews and focus group discussions to investigate the fidelity and dose of programme implementation, behavioural pathways of impact and contextual factors interacting with the intervention. Pathways of impact will also be explored through statistical analyses. ETHICS AND DISSEMINATION: The study has received ethics approval from the scientific and ethical review committees at the Ethiopian Public Health Institute and the London School of Hygiene and Tropical Medicine. The findings will be disseminated collaboratively with stakeholders at specified time points and through peer-reviewed publications and presentations.