The revised Healthy Purchase Index (r-HPI): a validated tool for exploring the nutritional quality of household food purchases.

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 (ß = 1.41 [0.20], p < 0.01), households having a food basket of higher nutritional quality (ß = 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.

Changes in French purchases of pulses during an FAO awareness campaign.

Background: Pulses can play a key role in a well-balanced diet and are now recognized for their health and sustainability benefits. However, consumption remains quite low, motivating promotion efforts such as the "International Year of Pulses" declared by the Food and Agriculture Organization (FAO) in 2016. The present study aims to evaluate the changes in the purchase of pulses before and after the FAO's awareness campaign promoting the consumption of pulses in France and investigate the potential differences across sub-populations. Methods: Purchase data come from Kantar Worldpanel 2014-2017. First, in order to understand demand for pulses, the influence of sociodemographic variables on the purchase of pulses in different forms (raw, processed, ultra-processed) is analyzed using a Box-Cox heteroskedastic double-hurdle model. Then, changes in purchasing before and after the FAO campaign were estimated using a two-way fixed-effects model, controlling for price and sociodemographic variables. Results: On that period, the purchasing of pulses increased by 8.4% overall. The increase was greater for younger participants (+11.8%), people living in urban areas with over 200,000 inhabitants (+8.4%), and lower-income households (+7.1%). The 8.4% increase observed indicated that there were gradual preference change in favor of pulses and the impact of the awareness campaign was to boost expenditure on pulses by a further 2%. Conclusion: The FAO campaign coincided with an increase in the purchasing of pulses and may have had an enhancing effect. However, consumption still remains below the level advised by dietary guidelines. There is a need for more public information and communication on the health and sustainability benefits of pulses, the consumption of which can be promoted through supply and education interventions. JEL codes: D12; Q18; I18.

Is nutritional quality of food-at-home purchases improving? 1969-2010: 40 years of household consumption surveys in France.

BACKGROUND/OBJECTIVES: The rise of nutrition-related diseases in developed countries prompts investigation into the role played by changing food patterns. Our aim was to observe changes in food-at-home purchases by French households and their impacts on nutritional quality over the past 40 years (1969-2010). SUBJECTS/METHODS: Time-series of food-at-home purchases from representative samples of French households were built based on two sources of data: the INSEE National Food Survey (1969-1991) and the Kantar Food Consumption Panel (1989-2010). Food-at-home purchases were converted into energy and nutrients using the French CIQUAL food composition table. The nutritional quality of food-at-home purchases was estimated using the mean adequacy ratio (MAR) for 15 key nutrients. MAR was expressed per 2000 kcal to assess the nutrient density of food-at-home purchases. RESULTS: Between 1969 and 2010, food-at-home purchases showed dramatic changes in many food groups, with increasing processed vs raw products. The purchase of calories increased (+6.7%) and nutrient density improved (MAR per 2000 kcal + 12.9 points). However, this overall trend harbors heterogeneous patterns: food-at-home calories decreased and nutrient density improved up to 2002, but then calories increased while nutrient density stabilized. CONCLUSIONS: The nutritional quality of French households' food-at-home purchases improved over the last 40 years, as shown by increasing nutrient density. However, during the last decade, nutrient density ceased to increase and the purchase of calories increased, advocating a need for public action to promote healthier food purchasing patterns.

Socio-economic characteristics, living conditions and diet quality are associated with food insecurity in France.

OBJECTIVE: To assess the prevalence of household food insecurity (FI) in France and to describe its associations with socio-economic factors, health behaviours, diet quality and cost (estimated using mean food prices). DESIGN: Cross-sectional nationally representative survey. FI was assessed using an adapted version of the US Department of Agriculture's Food Insufficiency Indicator; dietary intake was assessed using a 7 d open-ended food record; and individual demographic, socio-economic and behavioural variables were assessed using self-administered questionnaires and interviews. Individuals experiencing FI were compared with food-secure individuals, the latter being divided into four categories according to quartiles of their income per consumption unit (FS1 to FS4). Differences among categories were analysed using χ² tests, ANOVA and tests for trend. SETTING: Individual and National Dietary Survey (INCA2), 2006-2007. SUBJECTS: Adults aged 18-79 years (n 2624). RESULTS: Individuals experiencing FI represented 12·2% of the population. They were on average younger, more frequently women and single parents with children compared with those in the other four categories. Their mean income per consumption unit was higher than that in the FS1 category, but they reported poorer material and housing conditions. The prevalence of smoking and the mean daily time spent watching television were also higher in the FI category. No significant difference among categories was found for energy intake, but mean intakes of fruits, vegetables and fish were lower, and diet quality was slightly but significantly poorer in the FI category. Daily diet cost was also lower in the FI category. CONCLUSIONS: France is not spared by FI. FI should be routinely monitored at the national level and research should be promoted to identify effective strategies to reduce nutrition inequalities in France.

Food insecurity, a determinant of obesity? - an analysis from a population-based survey in the Paris metropolitan area, 2010.

OBJECTIVE: The relationship between food insecurity and obesity is discussed in the literature. The objective of this study was to determine whether food insecurity and obesity were associated in the Paris metropolitan area. METHODS: We used data from third wave of the Health, Inequalities and Social Ruptures (SIRS) cohort study, a longitudinal population-based, representative health and socioepidemiological survey of the general population in the Paris metropolitan area. The participants' BMI (calculated using self-reported height and weight) was analyzed as a continuous variable, and a dichotomous variable (BMI < 30 kg/m(2)/BMI ≥ 30 kg/m(2)) was constructed. Food insecurity was estimated using the Household Food Security Scale Module (HFSSM) and was treated as a trichotomous variable (food security / low food security / very low food security). Multilevel models were estimated for men and women separately. RESULTS: Obesity (BMI ≥ 30 kg/m(2)) prevalence was 10.2%. The determinant of obesity differs according to gender. After adjustment for age, income and the sociooccupational group, very low food security was associated with obesity in women (OR = 2.01, 95%CI 1.05-3.82), and women with very low food security had a higher BMI (Coef. = 1.78, 95% CI 0.24-3.31). This association, however, was not significant for men (OR = 1.84, 95%CI 0.64-5.30). CONCLUSION: In times of economic crisis, it is increasingly essential to explore and understand the pathway through which very low food security is linked to obesity.

Prevalence and socioeconomic and geographical inequalities of household food insecurity in the Paris region, France, 2010.

BACKGROUND: Food insecurity (FI) is the situation where people do not have, at all times, access to sufficient, safe and nutritious food that meets their dietary needs for an active and healthy life. The objectives of this study were to estimate the prevalence of FI in the Paris area by using, for the first time in France, a specific FI questionnaire and to identify the characteristics of food-insecure households, taking into account a potential neighbourhood effect. METHODS: This study is based on data from the third wave of the SIRS cohort study (a representative, population-based socioepidemiological study) that were analysed using a cross-sectional design. In 2010, 3000 individuals in the Paris metropolitan area (PMA) were interviewed. FI was investigated by means of the USDA's HFSSM. We used stratified multilevel models across three household income categories to identify populations at risk for FI. RESULTS: In 2010, 6.30% (95% CI = [4.99-7.97]) of the households in the PMA experienced FI (up to 13.59% in the most underprivileged neighbourhoods). About 2.50% of the households experienced severe FI and 2.85% of household living with an income above 1666 € experienced food insecurity, whereas the percentage raises to 23.38% among those living below the poverty threshold (< 791 €). Depending on the income level, different household characteristics emerged as being associated with FI. In the poorest households, the presence of a child under 3 years of age was associated with an increased risk of FI (OR = 2.11; p = 0.03). Among higher-income households, the household composition appeared to be strongly associated with FI. CONCLUSION: FI exists in several social groups in France. Its prevalence in the most underprivileged households should be considered an indicator of vulnerability, which could permit targeted social assistance policies.

Who still eats three meals a day? Findings from a quantitative survey in the Paris area.

In France, mealtimes constitute a strong cultural trait, especially the three-meal pattern. The aim of our study was to test whether this pattern is still prevailing and to what extent familial structure, gender, poverty and migration have an effect on meal frequency. This study is based on a cross-sectional analysis of data collected in 2010 in the SIRS cohort study among a representative sample of 3006 adults in the Paris metropolitan area. We developed simple logistic models and multinomial logistic models. Results confirmed that the three-meal pattern remains strongly rooted in food habits in the Paris area. For three meals a day, the presence of a partner was more significant than the presence of children in the household. However, the study highlighted that one out of four inhabitants declared eating two meals a day only. The results emphasized gender differences in eating two meals a day, as being less frequent but more distinctive for women than for men. For women indeed, it was mainly linked to economic and social vulnerability (women below the poverty line, foreigners, in single parent families). In this respect, the paper provides new insights into the social differentiation of meal patterns, and calls for further analysis.

Low-cost foods: how do they compare with their brand name equivalents? A French study.

OBJECTIVE: Consumers are increasingly relying on low-cost foods, although it is not clear if the nutritional quality of these foods is fully maintained. The aim of the present work was to analyse the relationship between cost and quality within a given food category. DESIGN AND SETTING: The relationship was analysed between nutritional quality and cost for 220 food products belonging to seventeen different categories, controlling for package type and package size. Given that a summary of nutrient information was not available on the product label, a novel ingredient quality score was developed based on listed product ingredients. RESULTS: Within a given category, the lowest-priced foods were not different from the equivalent branded products in terms of overall energy or total fat content. Nevertheless, a positive relationship, small but significant, was observed between the price and the ingredient quality score. On average, the branded products cost 2.5 times more than the low-cost products, for an equivalent energy and lipid content, and had a slightly higher (1.3 times) ingredient quality score. CONCLUSIONS: More studies are necessary to evaluate the nutritional quality of low-cost foods. This evaluation would be facilitated if nutrition labelling was mandatory. Yet in view of the present results, it does not seem to be justified to divert consumers, especially the poorest, from low-cost foods because this may have an adverse effect on the nutritional quality of their diet, by reducing further the fraction of their food budget spent on fresh fruit and vegetables.