This paper presents data on the influence of the use of a nutrition-information app (Edo) on healthy eating. The methodology adopted included a baseline (t0) and a follow-up online questionnaire (t1). The first survey was sent to 7000 consumers who had already downloaded the app. This survey collected data on users’ perceived healthiness of their own diet, food purchasing habits, sociodemographic information, concern for appearance, perception of the Health Belief Model constructs, and objective and perceived healthy food knowledge. The follow-up survey (t1) was sent to the respondents who had used the app for 12 weeks. It collected data on app satisfaction, recommended additional app features, consumers’ perception on the Health Belief Model constructs, and consumers’ objective and perceived healthy food knowledge. Data elaboration included two factor analyses elaboration, one for t0 data and one for t1 data. The aim was the identification of constructs as latent factors of the data. The value of each construct was calculated and compared between t0 and t1. The data presented in this article can help the replication of studies about similar apps and enhance the cooperation among app developers, consumer behaviour scientists, nutritionists and marketing experts for apps development. For conclusion and interpretation of data, the original article can be consulted (DOI:10.1016/j.foodres.2019.108766).
Samoggia, A., Bordoni, A., Monticone, F. (2020). Data on the potential of nutrition-information apps from a consumer behaviour perspective. DATA IN BRIEF, 30, 1-9 [10.1016/j.dib.2020.105558].
Data on the potential of nutrition-information apps from a consumer behaviour perspective
Samoggia, Antonella
;Bordoni, Alessandra;Monticone, Francesca
2020
Abstract
This paper presents data on the influence of the use of a nutrition-information app (Edo) on healthy eating. The methodology adopted included a baseline (t0) and a follow-up online questionnaire (t1). The first survey was sent to 7000 consumers who had already downloaded the app. This survey collected data on users’ perceived healthiness of their own diet, food purchasing habits, sociodemographic information, concern for appearance, perception of the Health Belief Model constructs, and objective and perceived healthy food knowledge. The follow-up survey (t1) was sent to the respondents who had used the app for 12 weeks. It collected data on app satisfaction, recommended additional app features, consumers’ perception on the Health Belief Model constructs, and consumers’ objective and perceived healthy food knowledge. Data elaboration included two factor analyses elaboration, one for t0 data and one for t1 data. The aim was the identification of constructs as latent factors of the data. The value of each construct was calculated and compared between t0 and t1. The data presented in this article can help the replication of studies about similar apps and enhance the cooperation among app developers, consumer behaviour scientists, nutritionists and marketing experts for apps development. For conclusion and interpretation of data, the original article can be consulted (DOI:10.1016/j.foodres.2019.108766).File | Dimensione | Formato | |
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