The Food Quality Observatory synthetises the nutritional composition of fifteen processed food categories commonly purchased in Québec (Canada). We assessed how the new Canadian front-of-pack (FoP) labelling regulation of a ‘high in’ symbol, to be implemented as of January 1, 2026, would be potentially reflected in these categories and how simulations of reformulation would impact the presence of the symbol.

Nutritional information was obtained by collecting food products available in supermarkets and grocery stores in the province of Québec (2016–2022). Sales data were obtained from NielsenIQ company. Fifteen food categories have been selected, and three levels of reformulation were simulated.

The nutritional values of 5132 products were merged with sales data. 3941 products were successfully cross-referenced.

Sixty percent of all products sold (n 2336/3941) would carry the ‘high in’ symbol reflecting a high content of Na, saturated fat and/or total sugar (39 %, 16 % and 17 %, respectively). For certain food categories, a slight reduction (5–15 %) in Na, saturated fat or total sugar content would allow removing the ‘high in’ symbol in a large number of products. For example, a 5 % reduction of the Na content in sliced breads would allow 22 percentage point (pp) fewer products to display the symbol.

This study presents a portrait of processed foods purchased in Québec (Canada) and the distribution of the FOP ‘high in’ symbol. Such a portrait generates important data to monitor the food supply’s nutritional quality, which can ultimately contribute to improving the nutritional quality of processed foods.

This study examined the relationship between reformulation and food price in Canadian packaged foods and beverages between 2017 and 2020.

Matched foods and beverages in the University of Toronto Food Label Information and Price 2017 and 2020 databases were analysed (n 5774). Price change by food category and by retailer were compared using Wilcoxon signed-rank tests. The proportion of products with changes in calories and nutrient levels were determined, and mixed-effects models were used to examine the relationship between reformulation and price changes. The Food Standards Australia New Zealand (FSANZ) nutrient profiling model was applied to calculate nutritional quality scores, and mixed-effects models were used to assess if changes in nutritional quality score were associated with price changes.

Large grocery retailers by market share in Canada.

Foods and beverages available in 2017 and 2020.

Food price changes differed by retailer and by food category (e.g. increased in Bakery, Snacks, etc; decreased in Beverages, Miscellaneous, etc.). Nutrient reformulation was minimal and bidirectional with the highest proportion of products changing in sodium (17·8 %; 8·4 % increased and 9·4 % decreased). The relationship between nutrient reformulation and price change was insignificant for all nutrients overall and was not consistent across food categories. Average FSANZ score did not change (7·5 in both years). For Legumes and Combination dishes, improvements in nutritional quality were associated with a price decrease and increase, respectively.

Stronger policies are required to incentivise reformulation in Canada. Results do not provide evidence of reformulation impacting food prices.

To assess the relationship between market concentration and diversity, as indicators of market structure, and the healthiness of food and beverage sales across Europe.

Market share (MS) data per country were used to calculate market concentration, assessed by the four-firm concentration ratio and market diversity, and by the number of companies with ≥1 % MS and the number of companies uniquely present in one European country. The healthiness of food sales was assessed by applying the NOVA classification (level of processing). Simple and multiple linear regressions were performed to assess the relationship between market concentration, diversity and the healthiness of food and beverage sales.

The European single market.

The twenty-seven European single market member states for which Euromonitor sales data were available at the most fine-grained Euromonitor packaged food and non-alcoholic beverage product subcategory level.

Increased market concentration with a country and a product category fixed effect significantly predicted increased sales of ultra-processed packaged food products. There was insufficient data variability in the level of processing of non-alcoholic beverage product categories to formulate conclusions for non-alcoholic beverages. Increased market diversity in turn significantly predicted reduced country-level sales of ultra-processed products.

The results indicated a relationship between market structure and the healthiness of packed food products sold on the European market. However, more research with detailed nutritional data is warranted to document and quantify this interaction.

Lower-income older adults with multiple chronic conditions (MCC) are highly vulnerable to food insecurity. However, few studies have considered how health care access is related to food insecurity among older adults with MCC. The aims of this study were to examine associations between MCC and food insecurity, and, among older adults with MCC, between health care access and food insecurity.

Cross-sectional study data from the 2019 Behavioral Risk Factor Surveillance System survey.

Washington State, USA.

Lower-income adults, aged 50 years or older (n 2118). MCC was defined as having ≥ 2 of 11 possible conditions. Health care access comprised three variables (unable to afford seeing the doctor, no health care coverage and not having a primary care provider (PCP)). Food insecurity was defined as buying food that did not last and not having money to get more.

The overall prevalence of food insecurity was 26·0 % and was 1·50 times greater (95 % CI 1·16, 1·95) among participants with MCC compared to those without MCC. Among those with MCC (n 1580), inability to afford seeing a doctor was associated with food insecurity (prevalence ratio (PR) 1·83; 95 % CI 1·46, 2·28), but not having health insurance (PR 1·49; 95 % CI 0·98, 2·24) and not having a PCP (PR 1·10; 95 % CI 0·77, 1·57) were not.

Inability to afford healthcare is related to food insecurity among older adults with MCC. Future work should focus on collecting longitudinal data that can clarify the temporal relationship between MCC and food insecurity.

To investigate the seasonal variations of women’s dietary diversity (WDD) (items consumed and food supply) and its linkages with agriculture, market and wild resources.

A cohort of 300 women was followed-up over a year to investigate WDD and food sources (production, purchase or foraging). Monthly qualitative 24 h recalls allowed computing WDD Scores from a standard 10-food groups (FG) classification (WDDS-10). Associations between farm/women’s characteristics and WDDS-10 were investigated using multivariate mixed models including interaction terms factor*months.

Tuy province, Burkina Faso.

300 women of reproductive age.

Both dietary diversity and food sources were seasonal. The mean WDDS-10 was relatively stable from August to January (ranging from 3·1 to 3·5 FG) when farm production predominated. The WDDS-10 gradually increased from February, concomitantly with an increase in food purchases (onions, tomatoes, mangoes) and reached its highest levels (>4 FG) from March to June, when food purchases were still relatively high and when more women consumed foraged fruits (shea plums and wild grapes). Women living on farms owning > 3 plough oxen and different animal species had significantly higher WDDS-10 than others (+0·28 and +0·35 FG, respectively). Women who practiced off-farm activities also had higher WDDS-10 than those who did not (+0·21 FG, P < 0·05). Other factors, for example, the number of foraged edible species, provided advantages in terms of dietary diversity only during certain seasons (October – January, P for interaction < 0·01).

Diversifying women’s diets throughout the year requires complementary interventions aimed at diversifying production, promoting foraging and increasing income-generating activities to enable food purchasing.

We determined the prevalence and identified predictors of food insecurity in four African countries.

Cross-sectional analyses at study enrolment.

From January 2013 to March 2020, people living with HIV (PLWH) and without HIV were enrolled at twelve clinics in Kenya, Uganda, Tanzania and Nigeria.

Participants reporting not having enough food to eat over the past 12 months or receiving <3 meals/d were defined as food insecure. Robust Poisson regression models were used to estimate unadjusted and adjusted prevalence ratios (aPR) and 95 % CI for predictors of food insecurity among all participants and separately among PLWH.

1694/3496 participants (48·5 %) reported food insecurity at enrolment, with no difference by HIV status. Food insecurity was more common among older participants (50+ v. 18–24 years aPR 1·35, 95 % CI 1·15, 1·59). Having 2–5 (aPR 1·14, 95 % CI 1·01, 1·30) or >5 dependents (aPR 1·17, 95 % CI 1·02, 1·35), and residing in Kisumu West, Kenya (aPR 1·63, 95 % CI 1·42, 1·87) or Nigeria (aPR 1·20, 95 % CI 1·01, 1·41) was associated with food insecurity. Residing in Tanzania (aPR 0·65, 95 % CI 0·53, 0·80) and increasing education (secondary/above education v. none/some primary education aPR 0·73, 95 % CI 0·66, 0·81) was protective against food insecurity. Antiretroviral therapy (ART)-experienced PLWH were more likely to be food secure irrespective of viral load.

Food insecurity was highly prevalent in our cohort though not significantly associated with HIV. Policies aimed at promoting education, elderly care, ART access in PLWH and financial independence could potentially improve food security in Africa.

To characterise the nutritional quality of food products targeted to children, we aimed: (1) to determine if the nutritional composition of child-targeted food products is different from those for the general population and (2) to verify differences in the nutrient content of child-targeted food products between three selected food categories.

The present study is part of the work conducted by the Food Quality Observatory, created in 2016 in the province of Quebec (Canada). Ready-to-eat (RTE) breakfast cereals (n 331), granola bars (n 310) and yoghurts and dairy desserts (n 380) were the food categories analysed.

Nutritional values and all packaging information were obtained by purchasing every product available in supermarkets, grocery stores and specialty grocery stores. Free sugars were manually differentiated from total sugars for each product. Products were classified according to two targeted consumer groups: children or general population.

The nutrient profile of RTE breakfast cereals, granola bars and yoghurts and dairy desserts targeted to children differed from that of products intended at the general population. Child-targeted RTE breakfast cereals had the least favourable nutritional composition, with significantly higher content of carbohydrates, total sugars, free sugars and Na compared with breakfast cereals for the general population as well as child-targeted granola bars and yoghurts and dairy desserts. All child-targeted products analysed contained free sugars.

The current study supports the relevance to further regulate marketing to children on food product packages to ensure that such marketing is not present on food products with poor nutritional quality.

The aim of this study was to examine the incidence of food insecurity and affecting factors in households with children in Turkey during the coronavirus disease 2019 (COVID-19) pandemic.

This is a cross-sectional study. The participants were recruited by the snowball sampling method, and the data were collected by means of a link sent to their smartphones through their social media accounts. This study included 211 households with at least 1 child.

The study revealed that 21.8% households had food insecurity that was not at the hunger threshold. The monthly income of 80.6% of the households was below the poverty line and monthly income decreased in more than half of the households during the pandemic. Food insecurity increased 2.5 times when the households comprised workers or self-employed individuals (odds ratio [OR] = 2.529; P = 0.002), increased 3 times when the monthly income of the households decreased (OR = 3.131; P = 0.000), and increased 2 times when total monthly income of the household fell below poverty line during the pandemic (OR = 2.001; P = 0.049).

It is determined that nearly half the households have food insecurity and that the pandemic poses a risk in terms of food security. We recommend that public health studies should be planned to ensure accessibility to healthy foods.

The Food Quality Observatory was created in the province of Quebec (Canada) in 2016. In this study, the Observatory aimed to generate a methodology to (1) test the use of sales data combined with nutrient values to characterise the nutritional composition of ready-to-eat (RTE) breakfast cereals offered and purchased in the province of Quebec (Canada) and (2) verify the extent to which a front-of-pack label based on the percentage of daily value (DV) for total sugar, as a strategy to improve the food supply, would be distributed in this food category.

Nutritional information were obtained by purchasing each RTE breakfast cereal available in the Greater Montreal area. Cereals were then classified according to their processing type.

The nutritional values of 331 RTE breakfast cereals available in Quebec were merged with sales data covering the period between May 2016 and May 2017. A total of 306 products were successfully cross-referenced.

Granola and sweetened cereals were the most available (36·6 % and 19·6 %, respectively) and purchased (19·8 % and 40·9 % of sales, respectively). When compared with other types of cereals, granola cereals had a higher energy, fat, saturated fat, protein content and a lower Na content. A larger proportion of chocolate (65 %) and sweetened cereals (49 %) were above 15 % of the DV for sugar.

This study showed that the methodology developed generates important data to monitor nutritional quality of the food supply and ultimately contribute to improve the nutritional quality of processed foods.