Dietary patterns of households in Scotland: Differences by level of deprivation and associations with dietary goals

Healthier Food Purchase and Its Determinants in an Urban Resettlement Colony of Delhi

Dietary risk, one of the major risk factors for the increasing burden of non-communicable diseases, is influenced by household food choices and purchases. A community-based cross-sectional study was conducted in 250 randomly selected households of an urban resettlement colony in Delhi to estimate the proportion of households purchasing different healthier food options during the last purchasing occasion and to identify its key determinants. Purchase of healthier options in staple items like wheat flour with fiber (100%), plant-based oils (97.9%), unpolished pulses (96.2%), and toned milk (94.5%) was high. Affordability and health considerations in food purchases were identified as key determinants.

Dietary patterns and childhood stunting in Zimbabwe

Background

Diet is one important predictor of children’s growth, and often dietary interventions can assist with reversing adverse nutrition outcomes. Traditionally research has focused on individual food items or food classes to generate an understanding of disease risk. Dietary patterns provide a holistic approach to understanding the relationship between exposure and outcome.

Method

A matched case-control study was conducted. Caregivers of 450 children (225 cases, 225 controls) aged 6–59 months were asked to describe the diet their children had consumed in the previous 7 days using a Food Frequency Questionnaire. Dietary patterns were developed using factor analysis and regression analysis was conducted to assess which dietary pattern was associated with childhood stunting.

Results

Three dietary patterns were identified: modern (n = 181), low animal-source (n = 158), and traditional (n = 111). Children with the low animal source dietary pattern had increased odds of being stunted (AOR 1.03, p < 0.05). Three demographic factors (Child’s age, father’s age and having a sibling < 24 months apart) were identified as significant predictors of consumption of any of the traditional and low animal source diet (P < 0.001).

Conclusion

Nutrition intervention such as health education, counselling and supplementary feeding should include a holistic approach to dietary education not only focusing on promoting a balanced diet but improvement strengthening the upgrading of child’s dietary pattern taking into cognisant both quantity, and quality of nutrients provided to the child.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40795-022-00607-7.

Potential impact on prevalence of obesity in the UK of a 20% price increase in high sugar snacks: modelling study

OBJECTIVE

To estimate the potential impact on body mass index (BMI) and prevalence of obesity of a 20% price increase in high sugar snacks.

DESIGN

Modelling study.

SETTING

General adult population of the United Kingdom.

PARTICIPANTS

36 324 households with data on product level household expenditure from UK Kantar FMCG (fast moving consumer goods) panel for January 2012 to December 2013. Data were used to estimate changes in energy (kcal, 1 kcal=4.18 kJ=0.00418 MJ) purchase associated with a 20% price increase in high sugar snacks. Data for 2544 adults from waves 5 to 8 of the National Diet and Nutrition Survey (2012-16) were used to estimate resulting changes in BMI and prevalence of obesity.

MAIN OUTCOME MEASURES

The effect on per person take home energy purchases of a 20% price increase for three categories of high sugar snacks: confectionery (including chocolate), biscuits, and cakes. Health outcomes resulting from the price increase were measured as changes in weight, BMI (not overweight (BMI <25), overweight (BMI ≥25 and <30), and obese (BMI ≥30)), and prevalence of obesity. Results were stratified by household income and BMI.

RESULTS

For income groups combined, the average reduction in energy consumption for a 20% price increase in high sugar snacks was estimated to be 8.9×10³ kcal (95% confidence interval -13.1×10³ to -4.2×10³ kcal). Using a static weight loss model, BMI was estimated to decrease by 0.53 (95% confidence interval -1.01 to -0.06) on average across all categories and income groups. This change could reduce the UK prevalence of obesity by 2.7 percentage points (95% confidence interval -3.7 to -1.7 percentage points) after one year. The impact of a 20% price increase in high sugar snacks on energy purchase was largest in low income households classified as obese and smallest in high income households classified as not overweight.

CONCLUSIONS

Increasing the price of high sugar snacks by 20% could reduce energy intake, BMI, and prevalence of obesity. This finding was in a UK context and was double that modelled for a similar price increase in sugar sweetened beverages.

The use of commercial food purchase data for public health nutrition research: A systematic review

BACKGROUND

Traditional methods of dietary assessment have their limitations and commercial sources of food sales and purchase data are increasingly suggested as an additional source to measuring diet at the population level. However, the potential uses of food sales data are less well understood. The aim of this review is to establish how sales data on food and soft drink products from third-party companies have been used in public health nutrition research.

METHODS

A search of five electronic databases was conducted in February-March 2018 for studies published in peer-reviewed journals that had used food sales or purchase data from a commercial company to analyse trends and patterns in food purchases or in the nutritional composition of foods. Study quality was evaluated using the National Institutes of Health (NIH) Quality Assessment Tool for Cohort and Cross-Sectional Studies.

RESULTS

Of 2919 papers identified in the search, 68 were included. The selected studies used sales or purchase data from four companies: Euromonitor, GfK, Kantar and Nielsen. Sales and purchase data have been used to evaluate interventions, including the impact of the saturated fat tax in Denmark, the soft drink and junk food taxes in Mexico and supplemental nutrition programmes in the USA. They have also been used to identify trends in the nutrient composition of foods over time and patterns in food purchasing, including socio-demographic variations in purchasing.

CONCLUSION

Food sales and purchase data are a valuable tool for public health nutrition researchers and their use has increased markedly in the last four years, despite the cost of access, the lack of transparency on data-collection methods and restrictions on publication. The availability of product and brand-level sales data means they are particularly useful for assessing how changes by individual food companies can impact on diet and public health.