To evaluate differences in the percentage of expenditure on food groups in Mexican households according to the gender of the household head and the size of the locality.

Analysis of secondary data from the National Household Income and Expenditure Survey (ENIGH) 2018. We estimated the percentage of expenditure on fifteen food groups according to the gender of the head of household and locality size and evaluated the differences using a two-part model approach.

Mexico, 2018.

A nationally representative sample of 74 647 Mexican households.

Female-headed households allocated a lower share of expenditure to the purchase of sweetened beverages and alcoholic beverages and higher percentages to milk and dairy, fruits and water. In comparison with metropolitan households, households in rural and urban localities spent more on cereals and tubers, sugar and honey, oil and fat and less on food away from home.

Households allocate different percentages of expenditure to diverse food groups according to the gender of the head of the household and the size of the locality where they are located. Future research should focus on understanding the economic and social disparities related to differences in food expenditure, including the gender perspective.

A dietary pattern dominated by ultra-processed foods has been associated with non-communicable diseases in several studies. A previous study from 2013 found a high share of ultra-processed foods in Norwegian food sales. This study aimed to investigate the current share of ultra-processed foods in Norway and the development in expenditure on ultra-processed foods from 2013.

A repeated cross-sectional analysis of scanner data from the Consumer Price Index from September 2013 and 2019 and an investigation of the processing degree according to the NOVA classification system.

Food sales in Norway.

Norwegian grocery stores (n 180, for both time periods).

The share of expenditure in 2019 was highest for ultra-processed foods (46·5 %) and minimally or unprocessed foods (36·3 %), followed by processed foods (8·5 %) and processed culinary ingredients (1·3 %). An increasing degree of processing was found for several of the food groups between 2013 and 2019; however, most effect sizes were weak. In 2019, soft drinks became the most frequently purchased food item, surpassing milk and cheese, with the highest expenditure in Norwegian grocery stores. Increases in expenditure on ultra-processed foods were mainly due to increased expenditures on soft drinks, sweets and potato products.

A high share of expenditure on ultra-processed food was found in Norway, which may imply a high consumption of these foods. The change in expenditure of NOVA groups between 2013 and 2019 was small. Carbonated and non-carbonated soft drinks were the most frequently purchased products in Norwegian grocery stores and contributed to most of the expenditures.

This study seeks to empirically investigate how the changing eating habits affect health habits within three countries with entirely different cultures and diets to understand to what extent the pandemic may be responsible for these changes.

Specifically, a questionnaire was conducted in China, Portugal and Turkey in early 2021. A series of statistical analyses were performed to identify how changes in individuals’ eating habits have influenced their diets, considering the pandemic context and the varying cultural contexts where this research was performed.

A structured questionnaire form was developed and uploaded to an online platform with unique links for automatic distribution to respondents in each country. Data for the main survey were gathered between 3 January and 1 February 2021.

Using snowball sampling, the authors leveraged their social networks by asking friends and colleagues to distribute the survey to potentially interested individuals. This distribution was stratified accordingly to the distribution of the population. The authors ultimately collected 319 useable surveys from China, 351 from Portugal and 449 from Turkey.

The pandemic inspired healthier food habits, mostly because people have additional time to cook, shop differently for food and spend more money on groceries.

The study suggests that aside from cultural values and dietary habits, the available time and the fear of the pandemic most explained the new eating habits. Several implications are provided for researchers and overall society in these three countries.

To explore differences in proportion of food budget and total food expenditure by dwelling type.

A cross-sectional study using data from the Australian Bureau of Statistics 2015–2016 Household Expenditure Survey. Food expenditure was examined on multiple categories: fresh fruits, fresh vegetables, pre-prepared meals, meals in restaurants, hotels and clubs, and fast food and takeaway meals, using two-part models and zero-one inflated beta regression models. Dwelling types were categorised as separate house, semi-detached house, low-rise apartment and high-rise apartment.

Australia, 2015–2016.

Seven thousand three hundred and fifty-eight households from greater capital city areas.

Households living in high-rise apartments were estimated to allocate a greater proportion of their food budget to meals in restaurants, hotels and clubs, and to spend more (actual dollars) on that category, compared with other dwelling types. No substantial differences were estimated in the proportion of food budget allocated to the other food categories across dwelling types.

The dwelling type households live in may play a role in their food budget. Households living in a high-rise apartment may potentially spend more on meals in restaurants, hotels and clubs than those living in other dwelling types. Given the growth in urban population and the changes in living arrangements, findings point to the critical need for a better understanding of the influence of dwelling types on food expenditure and call for research investigating the relationship between the two.

To identify factors associated with food purchasing decisions and expenditure of South African supermarket shoppers across income levels.

Intercept surveys were conducted, grocery receipts collated and expenditure coded into categories, with each category calculated as percentage of the total expenditure. In-supermarket food quality audit and shelf space measurements of foods such as fruits and vegetables (F&V) (healthy foods), snacks and sugar-sweetened beverages (SSB) (unhealthy foods) were also assessed. Shoppers and supermarkets were classified by high-, middle- and low-income socio-economic areas (SEA) of residential area and location, respectively. Shoppers were also classified as “out-shoppers” (persons shopping outside their residential SEA) and “in-shoppers” (persons shopping in their residential SEA). Data were analysed using descriptive analysis and ANOVA.

Supermarkets located in different SEA in urban Cape Town.

Three hundred ninety-five shoppers from eleven purposively selected supermarkets.

Shelf space ratio of total healthy foods v. unhealthy foods in all the supermarkets was low, with supermarkets located in high SEA having the lowest ratio but better quality of fresh F&V. The share expenditure on SSB and snacks was higher than F&V in all SEA. Food secure shoppers spent more on food, but food items purchased frequently did not differ from the food insecure shoppers. Socio-economic status and food security were associated with greater expenditure on food items in supermarkets but not with overall healthier food purchases.

Urban supermarket shoppers in South Africa spent substantially more on unhealthy food items, which were also allocated greater shelf space, compared with healthier foods.

Financial constraint is the underpinning determinant of household food insecurity; however, there has been little research examining the impact that increasing the ‘money available’ to food-insecure households could have on food purchasing. The main objective of the present study was to examine the effect of additional money (in the form of supermarket vouchers) on food expenditure in food-insecure households with children.

A parallel randomized controlled trial with a 4-week baseline phase followed by a 4-week intervention phase. Households were randomized to either receive vouchers (coupons) for 4 weeks or a control group that did not receive any vouchers.

Dunedin, New Zealand.

Low-income households with children (≤18 years) reporting food insecurity (n 214).

The mean monetary value of the vouchers received by households was $NZ 17·00 per week. The voucher group spent $NZ 15·20 (95 % CI 1·46, 28·94) more per week on food during the intervention phase compared with the control group (P = 0·030). There were no differences in expenditure between the voucher and the control group for the food groups ‘fruit and vegetables’ (mean difference: $NZ 0·46; 95 % CI −1·97, 2·89; P = 0·709), ‘meat and poultry’ (mean difference: $NZ 0·29; 95 % CI −3·07, 3·64; P = 0·866) and ‘dairy’ (mean difference: $NZ 0·82; 95 % CI −0·75, 2·42; P = 0·302).

Providing money via supermarket vouchers to food-insecure households resulted in an increase in overall expenditure on food.

To examine food and nutrient availability in New Zealand using supermarket sales data in conjunction with a brand-specific supermarket food composition database (SFD).

The SFD was developed by selecting the top-selling supermarket food products and linking them to food composition data from a variety of sources, before merging with individualised sales data. Supermarket food and nutrient data were then compared with data from national nutrition and household budget/economic surveys.

A supermarket in Wellington, New Zealand.

Eight hundred and eighty-two customers (73% female; mean age 38 years) who shopped regularly at the participating supermarket store and for whom electronic sales data were available for the period February 2004–January 2005.

Top-selling supermarket food products included full-fat milk, white bread, sugary soft drinks and butter. Key food sources of macronutrients were similar between the supermarket sales database and national nutrition surveys. For example, bread was the major source of energy and contributed 12–13% of energy in all three data sources. Proportional expenditure on fruit, vegetables, meat, poultry, fish, farm products and oils, and cereal products recorded in the Household Economic Survey and supermarket sales data were within 2% of each other.

Electronic supermarket sales data can be used to evaluate a number of important aspects of food and nutrient availability. Many of our findings were broadly comparable with national nutrition and food expenditure survey data, and supermarket sales have the advantage of being an objective, convenient, up-to-date and cost-effective measure of household food purchases.

Household budget surveys (HBSs) have been used to assess nutritional information for epidemiological purposes. The agreement between this information and other comparable data needs to be examined. The aim of this project was to compare household food expenditure data between two British HBSs: the National Food Survey (NFS) and the Family Expenditure Survey (FES).

Household food expenditure data were compared between the NFS and the FES for the years from 1982 to 1993. Differences in expenditure were assessed by year, by household composition, by income group and by region; for trends across time for all households and for regional, household composition and income group variations.

Great Britain.

Approximately 88 000 NFS households and 85 000 FES households surveyed between 1982 and 1993 were used in this analysis.

Marked differences between the food expenditure data provided by the two surveys were observed. Furthermore, differences in time trends were substantial, which can lead to different conclusions regarding changes in consumption patterns.

There is no obvious reason for the differences in household food expenditure between the NFS and the FES. Methodological differences between the two surveys cannot provide a full explanation for these discrepancies. The NFS and FES are now merged into a single survey (the Expenditure and Food Survey). If HBSs are to be used for epidemiological purposes their validity needs to be established.

To explore socio-economic factors associated with rising rates of overweight among Vietnamese adults.

The study was based on three national surveys of socio-economic factors and health conducted over a 10-year period. The studies were: the Vietnamese Living Standard Survey 1992–1993 (11 982 participants); the Vietnamese Living Standard Survey 1997–1998 (15 975 participants); and the Vietnamese National Health Survey 2001–2002 (94 656 participants).

Male and female adults >18 years old were stratified by gender, age group, area of residence, occupation, education and relative food expenditures. Overweight was defined using body mass index (BMI) ≥ 25 kg m− 2.

Overweight rates in Vietnam more than doubled between 1992 and 2002 (from 2.0 to 5.7%). Significant increases were observed for men and women, in urban and rural areas, and for all age groups. In univariate analyses, both age and higher socio-economic status were associated with higher rates of overweight. Using the most recent survey, urban populations were more likely to be overweight than rural ones (odds ratio (OR) = 1.79), white-collar workers were more likely to be overweight than manual labourers (OR = 1.95) and persons in the top level of food expenditures were more likely to be overweight than persons in the bottom level (OR = 4.96) after adjustment for other factors. Education was inversely associated with overweight after adjusting for covariates.

Economic growth and improved standard of living are associated with higher rates of overweight in nations in early stages of economic development. In Vietnam, higher rates of overweight were observed among the higher income and occupation groups.