Abstract

BackgroundTo date, the evaluation of diet has mostly been based on questionnaires and diaries that have their limitations in terms of being time and resource intensive, and a tendency toward social desirability. Loyalty card data obtained in retailing provides timely and objective information on diet-related behaviors. In Finland, the market is highly concentrated, which provides a unique opportunity to investigate diet through grocery purchases.ObjectiveThe aims of this study were as follows: (1) to investigate and quantify the selection bias in large-scale (n=47,066) loyalty card (LoCard) data and correct the bias by developing weighting schemes and (2) to investigate how the degree of loyalty relates to food purchases.MethodsMembers of a loyalty card program from a large retailer in Finland were contacted via email and invited to take part in the study, which involved consenting to the release of their grocery purchase data for research purposes. Participants’ sociodemographic background was obtained through a web-based questionnaire and was compared to that of the general Finnish adult population obtained via Statistics Finland. To match the distributions of sociodemographic variables, poststratification weights were constructed by using the raking method. The degree of loyalty was self-estimated on a 5-point rating scale.ResultsOn comparing our study sample with the general Finnish adult population, in our sample, there were more women (65.25%, 30,696/47,045 vs 51.12%, 2,273,139/4,446,869), individuals with higher education (56.91%, 20,684/36,348 vs 32.21%, 1,432,276/4,446,869), and employed individuals (60.53%, 22,086/36,487 vs 52.35%, 2,327,730/4,446,869). Additionally, in our sample, there was underrepresentation of individuals aged under 30 years (14.44%, 6,791/47,045 vs 18.04%, 802,295/4,446,869) and over 70 years (7.94%, 3,735/47,045 vs 18.20%, 809,317/4,446,869), as well as retired individuals (23.51%, 8,578/36,487 vs 31.82%, 1,414,785/4,446,869). Food purchases differed by the degree of loyalty, with higher shares of vegetable, red meat & processed meat, and fat spread purchases in the higher loyalty groups.ConclusionsIndividuals who consented to the use of their loyalty card data for research purposes tended to diverge from the general Finnish adult population. However, the high volume of data enabled the inclusion of sociodemographically diverse subgroups and successful correction of the differences found in the distributions of sociodemographic variables. In addition, it seems that food purchases differ according to the degree of loyalty, which should be taken into account when researching loyalty card data. Despite the limitations, loyalty card data provide a cost-effective approach to reach large groups of people, including hard-to-reach population subgroups.

Highlights

  • Diet has a substantial impact on human health

  • Individuals who consented to the use of their loyalty card data for research purposes tended to diverge from the general Finnish adult population

  • The findings of this study showed that individuals who consented to the release of their loyalty card data for research purposes tended to diverge from the general Finnish adult population

Read more

Summary

Introduction

Diet has a substantial impact on human health. Poor dietary habits are associated with obesity and a wide range of chronic diseases, including type 2 diabetes, cancer, and cardiovascular diseases [1,2]. Data collection with such instruments, food diaries, is time and resource intensive, and the information is gained with a considerable delay. They suffer from participant tendency toward social desirability [5,6]. The information gained through questionnaires is subject to recall bias with participants not reporting all foods consumed [4] Another limitation with dietary surveys as well as health surveys in general is selection bias, which manifests as healthy, socioeconomically advantaged, middle-aged women being the most likely to enroll in these studies [7,8,9]. Skimmed liquid milk and buttermilk were aggregated into “skimmed milk & sour milk” and foods and mixed dishes with red or processed meat as the main ingredient were aggregated into “red meat & processed meat.”

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call