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Background: Inadequate maternal dietary intakes remain a public health challenge in low-income countries like Malawi and can cause adverse birth outcomes., Objectives: To improve maternal dietary intakes and thus reduce the prevalence of adverse birth outcomes in rural Malawi., Methods: We performed a 2-armed (1:1) cluster-randomized controlled trial in Southern Malawi, enrolling pregnant women at gestational age 12-18 wk. Twenty villages (clusters) were randomly assigned to an intervention or a control group. A nutrition education and counseling (NEC) intervention consisted of education sessions followed by cooking demonstrations and counseling sessions. The women were encouraged to use locally available nutrient-dense foods to enhance dietary adequacy and -diversity. We applied linear programming to identify food combinations that could increase micronutrient intakes. The control group received standard antenatal health education., Results: Among the 311 women recruited, 187 (60%) completed the trial. We found no significant difference in mean birth weights recorded within 1 or 24 h of birth between the intervention and control groups. Intervention infants had greater birth length ( P = 0.043) and abdominal circumference ( P = 0.007) compared to controls, whereas other birth outcomes did not differ significantly. Notably, a quantile analysis revealed that the NEC intervention favored birth weight among mothers with a height below the mean height of the participant sample (156 cm) ( P -interaction = 0.043)., Conclusions: Tailoring NEC in food-insecure communities did not result in a significant difference in birth weight among infants of the participating mothers, but mean birth length and abdominal circumference were greater in the intervention group compared to controls. We noted that the NEC intervention favored birth weight among mothers with a lower height than the mean sample height. Our results warrant further investigation into offering tailored NEC early in pregnancy and on a larger scale.This trial was registered at clinicaltrials.gov as NCT03136393., Competing Interests: The authors report no conflicts of interest., (© 2024 The Author(s).)

Background: Greenness exposure has been associated with many health benefits, for example through the pathway of providing opportunities for physical activity (PA). Beside the limited body of longitudinal research, most studies overlook to what extent different types of greenness exposures may be associated with varying levels of PA and sedentary behavior (SB). In this study, we investigated associations of greenness characterized by density, diversity and vegetation type with self-reported PA and SB over a 9-year period, using data from the ORISCAV-LUX study (2007-2017, n = 628)., Methods: The International Physical Activity Questionnaire (IPAQ) short form was used to collect PA and SB outcomes. PA was expressed as MET-minutes/week and log-transformed, and SB was expressed as sitting time in minutes/day. Geographic Information Systems (ArcGIS Pro, ArcMap) were used to collect the following exposure variables: Tree Cover Density (TCD), Soil-adjusted Vegetation Index (SAVI), and Green Land Use Mix (GLUM). The exposure variables were derived from publicly available sources using remote sensing and cartographic resources. Greenness exposure was calculated within 1000m street network buffers around participants' exact residential address., Results: Using Random Effects Within-Between (REWB) models, we found evidence of negative within-individual associations of TCD with PA (β = - 2.60, 95% CI - 4.75; - 0.44), and negative between-individual associations of GLUM and PA (β = - 2.02, 95% CI - 3.73; - 0.32). There was no evidence for significant associations between greenness exposure and SB. Significant interaction effects by sex were present for the associations between TCD and both PA and SB. Neighborhood socioeconomic status (NSES) did not modify the effect of greenness exposure on PA and SB in the 1000 m buffer., Discussion: Our results showed that the relationship between greenness exposure and PA depended on the type of greenness measure used, which stresses the need for the use of more diverse and complementary greenness measures in future research. Tree vegetation and greenness diversity, and changes therein, appeared to relate to PA, with distinct effects among men and women. Replication studies are needed to confirm the relevance of using different greenness measures to understand its' different associations with PA and SB., (© 2024. The Author(s).)

Despite growing interest in understanding how food environments shape dietary behaviors, European longitudinal evidence is scarce. We aimed to investigate the associations of 9-year average and change in exposure to local retail food environments with the diet quality of residents in Luxembourg. We used data from 566 adults enrolled in both waves of the nationwide ORISCAV-LUX study (2007-2017). Dietary quality was assessed by the Diet Quality Index-International (DQI-I). Exposure to "healthy" and "less healthy" food outlets was assessed by both absolute and relative GIS-based measurements. The results showed a 56.3% increase in less healthy food outlets over the period. In adjusted linear mixed models, high (vs. low) 9-year average exposure to less healthy food outlets was associated with lower DQI-I, when examining spatial access (β = -1.25, 95% CI: -2.29, -0.22) and proportions (β = -1.24, 95% CI: -2.15, -0.33). Stratified analyses showed these associations to be significant only among urban residents. There was no association between change in exposure to less healthy food outlets and DQI-I. Increased exposure to healthy outlets in rural areas, using absolute measurements, was associated with worsened DQI-I. Neighborhood socioeconomic status did not moderate the above associations. Findings suggest that the proliferation of less healthy food outlets may have contributed to the deterioration of the diet quality of urban residents, and support the use of relative measurements to fully capture the healthiness of food environments., (Copyright © 2024. Published by Elsevier Ltd.)

Analysing the nutritional and environmental impacts of our current diets and promoting sustainable dietary shifts require quantified data on the characteristics of foods. We have jointly studied environmental and nutritional performances of more than 200 generic foods consumed in France, by combining and completing different databases. Several environmental issues calculated by Life Cycle Assessment (LCA) were selected, including impacts on biodiversity. This required to (1) model diets for given subpopulations; (2) adapt the LCA database of food products, Agribalyse 3.0, to link selected food and environmental inventories (3) compile characterization factors to assess impacts on biodiversity. Additionally, modifying Agribalyse 3.0 required to also modify the characterization method on Land Competition. This data paper compiles all the data used to obtain the results presented in the companion article entitled: Environmental trade-offs of fulfilling nutritionally adequacy with reduced animal protein share for French adult populations [1] ; i.e. (i) the characterization methods used, (ii) the modifications made to Agribalyse 3.0 and (iii) the nutrient content and quantities consumed of generic foods (iv) the optimized quantities of simulated diets reaching nutrient recommendations with low share of animal-based proteins. It also comprises (iv) Life Cycle Impact Assessment for all Agribalyse 3.0 processes of food having a CIQUAL code (2,497 processes)., (© 2023 The Author(s).)

Background: Monitoring population physical activity (PA) and sedentary behavior over time is important to guide public health actions. The objective of this study was to investigate the changes in PA and sedentary behavior of adult residents in Luxembourg over 10 years. We also investigated variations in change over time across sociodemographic subgroups., Methods: Two population-based cross-sectional studies of adults living in Luxembourg (Observation of Cardiovascular Risk Factors in Luxembourg [ORISCAV-LUX] [2007-2008] and ORISCAV-LUX 2 [2016-2018]) were considered. Multilevel mixed-effects models were used to investigate changes over time between the studies with regard to self-reported total PA (metabolic equivalent of task-min/week), PA levels (inactive/sufficiently active/highly active), total sitting time, recreational television viewing, and personal computer (PC) use outside of work (in minutes per day)., Results: The ORISCAV-LUX study included 1318 participants and the ORISCAV-LUX 2 study involved 1477 participants; 573 adults took part in both studies. The proportion of participants categorized as highly active increased over time by 6.9%. Total PA (761 metabolic equivalent of task-min/wk), television viewing (12 min/d), and PC use outside of work (13 min/d) also increased, whereas the total sitting time decreased by 25 minutes per day. Variations in change over time were observed by sex, country of birth, education, employment status, and perceived financial difficulty., Conclusions: Over a 10-year period, PA increased and total sitting time decreased in adults living in Luxembourg. With regard to specific sedentary behaviors, television viewing, and PC use outside of work increased. Specific population subgroups will benefit the most from targeted efforts to increase PA and minimize sedentary behavior.

A growing body of evidence suggests that urban densification may be protective against obesity, type 2 diabetes, and cardiometabolic diseases, yet studies on how built environmental features relate to metabolic syndrome (MetS) and its components are scarce. This longitudinal study examines the associations of baseline urban density and densification over 9 years with MetS and MetS components, among 510 participants enrolled in both waves of the ORISCAV-LUX study (2007-2017) in Luxembourg. A continuous MetS score (siMS) was calculated for each participant. Six features of residential built environments were computed around participants' home address: street connectivity, population density, density of amenities, street network distance to the nearest bus station, density of public transport stations, and land use mix. A composite index of urban densification (UDI) was calculated by averaging the six standardized built environment variables. Using adjusted generalized estimating equation (GEE) models, one-SD increase in UDI was associated with a worsening of the siMS score (β = 0.07, 95% CI: 0.02, 0.13), higher triglyceride levels (β = 0.05, 95% CI: 0.02, 0.09), and lower HDL-c levels (β = -1.29, 95% CI: -2.20, -0.38). The detrimental effect of UDI on lipid levels was significant only for participants living in dense areas at baseline. Higher baseline UDI, as well as increased UDI over time among movers, were also associated with greater waist circumference. There were no associations between UDI, fasting plasma glucose and systolic blood pressure. Sex and neighborhood socio-economic status did not moderate the associations between UDI and the cardiometabolic outcomes. Overall, we found limited evidence for an effect of urban densification on MetS and its components. Understanding urban dynamics remains a challenge, and more research investigating the independent and joint health effect of built environment features is needed to support urban planning and design that promote cardiometabolic health., Competing Interests: Declaration of competing interest None., (Copyright © 2023. Published by Elsevier Ltd.)

Growing evidence shows a beneficial effect of exposure to greenspace on cardiometabolic health, although limited by the cross-sectional design of most studies. This study examined the long-term associations of residential greenness exposure with metabolic syndrome (MetS) and MetS components within the ORISCAV-LUX study (Wave 1: 2007-2009, Wave 2: 2016-2017, n = 395 adults). Objective exposure to residential greenness was measured in both waves by the Soil-Adjusted Vegetation Index (SAVI) and by Tree Cover Density (TCD). Linear mixed models were fitted to estimate the effect of baseline levels and change in residential greenness on MetS (continuous score: siMS score) and its components (waist circumference, triglycerides, HDL-cholesterol, fasting plasma glucose and systolic blood pressure), respectively. This study provides evidence that an increase in SAVI, but not TCD, may play a role in preventing MetS, as well as improving HDL-cholesterol and fasting plasma glucose levels. Greater baseline SAVI was also associated with lower fasting plasma glucose levels in women and participants living in municipalities with intermediate housing price, and greater baseline TCD was associated with larger waist circumference. Overall, findings suggest a mixed impact of increased greenness on cardiometabolic outcomes. Further longitudinal research is needed to better understand the potential effects of different types of greenness exposure on cardiometabolic outcomes., Competing Interests: Declaration of competing interest None., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: The Healthy Purchase Index (HPI) assesses the nutritional quality of food purchases (FP) from food group expenditure shares only. However, it was developed from the FP of a disadvantaged population., Objective: To adapt and validate the HPI for a general population., Methods: FP were obtained from a representative sample of French households (Kantar WorldPanel) subdivided into two subsamples. The first sample (n = 4375) was used to adapt and validate the score; the second sample (n = 2188) was used to test external validity. The revised-HPI (r-HPI) includes 2 subscores: the diversity subscore and the quality subscore. Diversity subscore points were awarded when expenditure shares were above the 25th percentile for 5 food groups ("Fruits", "Vegetables", "Starches", "Dairy", "Meat, Fish and Eggs"). Regression models between the expenditure shares of each food group and the Mean Adequacy Ratio (MAR) and the Mean Excess Ratio (MER) of FP were used to select quality subscore components and define cut-offs for point allocation. Construct validity was assessed on the first sample using Spearman's correlations between the r-HPI and the four nutritional quality indicators (NRF9.3, MAR, MER, energy density), and also by comparing the r-HPI of monthly FP of sub-populations defined by criteria known to influence diet quality (age, gender, income, education) and between households having a monthly food basket of higher (MAR > median and MER and energy density < median) vs. lower nutritional quality within the population, using Wilcoxon tests or pairwise comparisons of contrasts. External validity was tested by performing the same analyses on the 2nd sample of 2188 households., Results: The adaptation led to include new components (e.g. red meat) and define new cut-offs (e.g. - 1 point when budget share for red meat > 21%). The r-HPI (mean = 6.50 ± 3.58) was strongly correlated with NRF9.3, MAR, MER and energy density (0.59, 0.52, - 0.41 and - 0.65, respectively, p < 0.01) and poorly correlated with total energy content (- 0.096, p < 0.001). The r-HPI was significantly higher in women (β = 1.41 [0.20], p < 0.01), households having a food basket of higher nutritional quality (β = 4.15 [0.11], p < 0.001), and increased significantly with age, income and education levels. Similar results were obtained in the 2nd sample., Conclusion: We showed the validity of the r-HPI in a large sample of French households. As it does not require food quantity or nutrient content, it can be used as a valuable tool to explore FP behaviours. Cut-offs can be used in health promotion to provide nutri-economic counselling., (© 2022. The Author(s).)

Purpose: The purpose of this study was to assess whether the retail food environment, measured by multiple indicators around the home and in activity space, was associated with the nutritional quality of food purchases., Methods: This cross-sectional study included 462 households from a quota sampling survey conducted in the south of France (Montpellier Metropolitan Area). The revised Healthy Purchase Index was implemented in order to assess the nutritional quality of food purchases. Food environment indicators (presence, number, relative density and proximity of food outlets) were calculated around the home and in activity space using a geographical information system. Six different types of food outlets were studied: supermarkets, markets, greengrocers, bakeries, other specialized food stores (butcher's, fishmonger's and dairy stores) and small grocery stores. Associations between food environment and the nutritional quality of food purchases were assessed using multilevel models, and geographically weighted regressions to account for spatial non-stationarity. Models were adjusted for households' socioeconomic and demographic characteristics., Results: The nutritional quality of food purchases was positively associated with the number of greengrocers around the home (1 vs. 0: β = 0.25, 95%CI = [0.01, 0.49]; >1 vs. 0: β = 0.25, 95%CI = [0.00, 0.50]), but negatively associated with the number of markets around the home (1 vs. 0: β = -0.20, 95%CI = [-0.40, 0.00]; >1 vs. 0: β = -0.37, 95%CI = [-0.69, -0.06]). These associations varied across space in the area studied. For lower income households, the number of greengrocers in activity space was positively associated with the nutritional quality of food purchases (1 vs. 0: β = 0.70, 95%CI = [0.12, 1.3]; >1 vs. 0: β = 0.67, 95%CI = [0.22, 1.1])., Conclusions: Greengrocers might be an effective type of food store for promoting healthier dietary behaviors. Further studies, particularly interventional studies, are needed to confirm these results in order to guide public health policies in actions designed to improve the food environment., Competing Interests: The authors have declared that no competing interests exist.

Context: Collective gardens are increasingly considered a tool to promote health and well-being., Objective: In this systematic review, we critically appraise quantitative studies exploring the potential health benefits of urban collective garden participation., Data Sources: Articles published between January 2000 and August 2020 were used., Data Extraction: All original research studies reporting at least 1 health outcomes associated with urban collective gardening in free-living adults from Western and other high-income countries were included. Of 1261 articles identified, 15 were included in the systematic review. Methodological quality was assessed by applying the criteria of the Quantitative Study Quality Assessment Tool., Analysis: A wide range of health indicators was used. Collective gardening was associated with higher fruit and vegetable consumption than was nongardening. Mixed results were found for physical activity and physiological health. A positive association was found in most studies with mental health and social health. However, the vast majority of included studies were cross-sectional and presented selection bias (n = 13 of 15 for both) and very few used objective measurement methods (n = 3 of 15)., Conclusions: Longitudinal studies allowing the exploration of causal relationships are needed before the health benefits of collective garden participation suggested by existing studies can be confirmed., (© The Author(s) 2021. Published by Oxford University Press on behalf of the International Life Sciences Institute. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Despite an increasing number of studies highlighting the health benefits of community gardening, the literature is limited by cross-sectional designs. The "JArDinS" quasi-experimental study aimed to assess the impact of community garden participation on the adoption of more sustainable lifestyles among French adults., Methods: Individuals entering a community garden in Montpellier (France) in 2018 (n = 66) were compared with pairwise matched individuals with no experience in community gardening (n = 66). Nutritional quality, environmental impact and cost of monthly household food supplies, level of physical activity measured by accelerometers, as well as mental and social well-being, sensitivity to food waste, and connection with nature were evaluated at baseline (t0) and 12 months later (t1) to explore sustainability of lifestyles in social/health, environmental and economic dimensions. Linear mixed models were used to determine the independent effect of community gardening on investigated lifestyles components. In-depth interviews were conducted at t1 with 15 gardeners to better understand changes that may have occurred in gardeners' lives during the first year of gardening., Results: At t0, gardeners had lower education level, lower BMI and their household reported lower percentage of meals consumed outside of the home compared to non-gardeners (p <  0.05). Participating in the community garden had no significant impact, in spite of sufficient statistical power, on fruit and vegetables supplies (main outcome), nor on physical activity parameters, nor on others of the social/health, environmental and economic lifestyles components investigated. Qualitative interviews suggested the existence of pre-established health and environmental consciousness in some gardeners and revealed several barriers to the participation such as lack of time, lack of gardening knowledge, physical difficulty of gardening, health problems and conflicts with other gardeners., Conclusions: The health benefits of community gardening previously reported by cross-sectional studies might be confounded by selection bias. The JArDinS study highlights the need to identify solutions to overcome barriers related to community garden participation when designing relevant public health interventions for the promotion of sustainable lifestyles., Trial Registration: The study was registered at clinicaltrials.gov as NCT03694782 . Date of registration: 3rd October 2018, retrospectively registered.

Objective: To cope with the pressure of modern life, consumer demand for convenience foods has increased in the last decades. The current study set out to compare the costs of buying industrially processed dishes and of preparing them at home., Design: Direct purchase costs of industrially processed dishes frequently consumed in France (n 19) and of the ingredients needed for their home-prepared counterparts (n 86) were collected from four major food retailers' websites in Montpellier, France. Mean prices and energy density were calculated for four portions. Costs related to energy used by cooking appliances and time spent preparing dishes were further estimated., Setting: Montpellier, France., Participants: Not applicable., Results: Based on the costs of ingredients and energy used for cooking, dishes prepared at home cost less (-0·60 € per four portions, P < 0.001) than industrially processed dishes, but when the cost of time was taken into account, the industrially processed dishes were much cheaper (-5·34 € per four portions, P < 0.001) than their home-prepared counterparts. There was no difference in energy density between industrially processed and home-prepared dishes., Conclusions: Our findings suggest that industrially processed dishes are more profitable to consumers when the cost of time for preparing dishes at home is valued. Given the ever greater demands of everyday life, more account should be taken of the additional cost to consumers of the time they spend preparing meals at home.

Background: The intake of specific amino acids (AA) has been associated with cardiovascular health, but amino acids are consumed together as dietary protein. Here we investigated the association between identified patterns of amino acid intake and cardiovascular mortality., Methods: A total of 2216 cardiovascular deaths among 79 838 men and women from the Adventist Health Study-2 were included in our analysis. Baseline dietary patterns based on the participants' amino acids intakes were derived by factor analysis. Using Cox regression analyses, we estimated multivariate-adjusted hazard ratios (HRs) adjusted for sociodemographic and lifestyle factors and other dietary components., Results: Three patterns of amino acids were identified. Factor 1 was positively associated with cardiovascular disease (CVD) mortality [hazard ratio (HR)Q5-Q1: 1.62, 98.75% confidence interval (CI): 1.15, 2.28; P-trend <0.001]; and Factors 2 and 3 were inversely associated with CVD mortality (HR Q5-Q1 Factor 2: 0.74, 98.75% CI: 0.53, 1.04; P-trend <0.01 and HR Q5-Q1 Factor 3: 0.65, 98.75% CI: 0.44, 0.95; P-trend <0.05]. The associations with Factor 1 (with high loadings on indispensable amino acids such as branched chain amino acids, lysine, methionine) and Factor 3 (with high loadings on non-indispensable amino acids, namely arginine, glycine, aspartate+asparagine) remained significant after further adjustment for nutrient intake and for the five protein source patterns identified previously (HR Q5-Q1: 1.56 (0.99, 2.45) and 0.55 (0.35, 0.85); P-trends < 0.01)., Conclusions: Indispensable AA have a positive and some non-indispensable AA have a negative, independent, strong association with the risk of cardiovascular mortality., (© The Author(s) 2019; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)

Background: Despite growing evidence for the multiple health benefits of community gardening, longitudinal studies based on quantitative data are needed. Here we describe the protocol of JArDinS, a quasi-experimental study, aimed at assessing the impact of community garden participation (a natural experiment) in the adoption of more sustainable lifestyles., Methods: Gardeners (n = 80) starting gardening in a community garden in Montpellier (France) will be recruited. Volunteers with no experience in community gardening and matched for age range, gender, household income and household composition will be recruited in a control group (n = 80). The sustainability of lifestyles in its social/health, environmental and economic dimensions will be assessed from a food supply diary (recording type, quantity and price of foods acquired in a 1-month period and the carbon impact of relevant food trips), a triaxial accelerometer (measuring physical activity) and online questionnaires on mental and social health, sensitivity to food waste, and connection with nature. Change of outcomes after 1 year will be compared between the natural experiment and the control groups., Discussion: This study will provide information on the impact of participation in a community garden on the different dimensions of sustainability, based on a robust quasi-experimental design allowing causality evaluation., Trial Registration: The JArDinS study was registered at clinicaltrials.gov as NCT03694782 . Date of registration: 3rd October 2018, retrospectively registered.

Objective: To develop an index to assess the nutritional quality of household food purchases based on food expenditures only., Design: A database of monthly food purchases of a convenience sample of low-income households was used to develop the Healthy Purchase Index (HPI). The HPI is the sum of two sub-scores based on expenditure shares of food categories in total household food expenditure: the purchase diversity sub-score and the purchase quality sub-score. The first was adapted from an existing diversity score. The second integrated those food categories identified as the best predictors of the nutritional quality of purchases based on associations between expenditure shares of food categories and two nutritional quality indicators: the mean adequacy ratio (MAR) and the mean excess ratio (MER). Correlation between the HPI and a score assessing adherence to French dietary guidelines (PNNS-GSmod) was performed as a first validation.Setting/ParticpantsFood purchases of 112 households from deprived neighbourhoods of Marseille (France), participating in the Opticourses and Jassur projects (2012-2015)., Results: The purchase diversity sub-score reflects the presence in food purchases of five food categories: fruits, vegetables, starches, dairy products, and meat, fish & eggs. The purchase quality sub-score is based on expenditure shares for fruit & vegetables, added fats & seasonings, sweet snacks, cheese, sugary drinks, refined grains and fish, as these were identified as predictors of the nutritional quality of purchases. The HPI was positively associated with the PNNS-GSmod (r s=0·378; P&lt;0·001)., Conclusions: The HPI helps assess the healthiness of household food purchases.

Background: Current evidence suggests that plant and animal proteins are intimately associated with specific large nutrient clusters that may explain part of their complex relation with cardiovascular health. We aimed at evaluating the association between specific patterns of protein intake with cardiovascular mortality., Methods: We selected 81 337 men and women from the Adventist Health Study-2. Diet was assessed between 2002 and 2007, by using a validated food frequency questionnaire. Dietary patterns based on the participants' protein consumption were derived by factor analysis. Cox regression analysis was used to estimate multivariate-adjusted hazard ratios (HRs) adjusted for sociodemographic and lifestyle factors and dietary components., Results: There were 2276 cardiovascular deaths during a mean follow-up time of 9.4 years. The HRs for cardiovascular mortality were 1.61 [98.75% confidence interval (CI), 1.12 2.32; P-trend < 0.001] for the 'Meat' protein factor and 0.60 (98.75% CI, 0.42 0.86; P-trend < 0.001) for the 'Nuts & Seeds' protein factor (highest vs lowest quintile of factor scores). No significant associations were found for the 'Grains', 'Processed Foods' and 'Legumes, Fruits & Vegetables' protein factors. Additional adjustments for the participants' vegetarian dietary pattern and nutrients related to cardiovascular disease outcomes did not change the results., Conclusions: Associations between the 'Meat' and 'Nuts & Seeds' protein factors and cardiovascular outcomes were strong and could not be ascribed to other associated nutrients considered to be important for cardiovascular health. Healthy diets can be advocated based on protein sources, preferring low contributions of protein from meat and higher intakes of plant protein from nuts and seeds.

Objective: People on a limited budget want to know the 'good price' of foods. Here we report the methodology used to produce an educational tool designed to help recognize foods with good nutritional quality and price, and assess the validity and relevancy of the tool., Design: A 'Good Price Booklet' presenting a list of foods with good nutritional quality and price was constructed. The validity of the in-booklet prices was assessed by comparing them with prices actually paid by households from the Opticourses project. The relevancy of the booklet tool was assessed by semi-structured interviews with Opticourses participants., Setting: Socio-economically disadvantaged neighbourhoods of Marseille, France., Subjects: Ninety-one participants collected household food-purchase receipts over a 1-month period., Results: Based on the French food database, foods with higher-than-median nutritional quality were identified. After grouping similar foods, 100 foods were selected and their corresponding in-booklet prices were derived based on the distribution of average national prices by food group. Household food purchases data revealed that of the 2386 purchases of foods listed in the booklet, 67·1 % were bought at prices lower than the in-booklet prices. Nineteen semi-structured interviews showed that participants understood the tool and most continued using it more than a month after the intervention., Conclusions: A method was developed to ease the identification of foods with good nutritional quality and price. The Good Price Booklet is an effective tool to help guide people shopping on a low budget.

Objective: The aim of the study was to use linear programming (LP) analyses to adapt New Complementary Feeding Guidelines (NCFg) designed for infants aged 6 to 12 months living in poor socioeconomic circumstances in Bogota to ensure dietary adequacy for young children aged 12 to 23 months., Design: A secondary data analysis was performed using dietary and anthropometric data collected from 12-month-old infants (n = 72) participating in a randomized controlled trial. LP analyses were performed to identify nutrients whose requirements were difficult to achieve using local foods as consumed; and to test and compare the NCFg and alternative food-based recommendations (FBRs) on the basis of dietary adequacy, for 11 micronutrients, at the population level., Results: Thiamine recommended nutrient intakes for these young children could not be achieved given local foods as consumed. NCFg focusing only on meat, fruits, vegetables, and breast milk ensured dietary adequacy at the population level for only 4 micronutrients, increasing to 8 of 11 modelled micronutrients when the FBRs promoted legumes, dairy, vitamin A-rich vegetables, and chicken giblets. None of the FBRs tested ensured population-level dietary adequacy for thiamine, niacin, and iron unless a fortified infant food was recommended., Conclusions: The present study demonstrated the value of using LP to adapt NCFg for a different age group than the one for which they were designed. Our analyses suggest that to ensure dietary adequacy for 12- to 23-month olds these adaptations should include legumes, dairy products, vitamin A-rich vegetables, organ meat, and a fortified food.

Nutrient profiling aims to classify or rank foods according to their nutritional composition to assist policies aimed at improving the nutritional quality of foods and diets. The present paper reviews a French approach of nutrient profiling by describing the SAIN,LIM system and its evolution from its early draft to the simplified nutrition labelling system (SENS) algorithm. Considered in 2010 by WHO as the 'French model' of nutrient profiling, SAIN,LIM classifies foods into four classes based on two scores: a nutrient density score (NDS) called SAIN and a score of nutrients to limit called LIM, and one threshold on each score. The system was first developed by the French Food Standard Agency in 2008 in response to the European regulation on nutrition and health claims (European Commission (EC) 1924/2006) to determine foods that may be eligible for bearing claims. Recently, the European regulation (EC 1169/2011) on the provision of food information to consumers allowed simplified nutrition labelling to facilitate consumer information and help them make fully informed choices. In that context, the SAIN,LIM was adapted to obtain the SENS algorithm, a system able to rank foods for simplified nutrition labelling. The implementation of the algorithm followed a step-by-step, systematic, transparent and logical process where shortcomings of the SAIN,LIM were addressed by integrating specificities of food categories in the SENS, reducing the number of nutrients, ordering the four classes and introducing European reference intakes. Through the French example, this review shows how an existing nutrient profiling system can be specifically adapted to support public health nutrition policies.