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Data on the potential of nutrition-information apps from a consumer behaviour perspective.

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).

SUBMITTER: Samoggia A

PROVIDER: S-EPMC7182670 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Data on the potential of nutrition-information apps from a consumer behaviour perspective.

Samoggia Antonella A Bordoni Alessandra A Monticone Francesca F

Data in brief 20200418

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 ...[more]

PMID: 32346577

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Project description:BackgroundA great deal of consumer data, collected actively through consumer reporting or passively through sensors, is shared among apps. Developers increasingly allow their programs to communicate with other apps, sensors, and Web-based services, which are promoted as features to potential users. However, health apps also routinely pose risks related to information leaks, information manipulation, and loss of information. There has been less investigation into the kinds of user data that developers are likely to collect, and who might have access to it.ObjectiveWe sought to describe how consumer data generated from mobile health apps might be distributed and reused. We also aimed to outline risks to individual privacy and security presented by this potential for aggregating and combining user data across apps.MethodsWe purposively sampled prominent health and fitness apps available in the United States, Canada, and Australia Google Play and iTunes app stores in November 2015. Two independent coders extracted data from app promotional materials on app and developer characteristics, and the developer-reported collection and sharing of user data. We conducted a descriptive analysis of app, developer, and user data collection characteristics. Using structural equivalence analysis, we conducted a network analysis of sampled apps' self-reported sharing of user-generated data.ResultsWe included 297 unique apps published by 231 individual developers, which requested 58 different permissions (mean 7.95, SD 6.57). We grouped apps into 222 app families on the basis of shared ownership. Analysis of self-reported data sharing revealed a network of 359 app family nodes, with one connected central component of 210 app families (58.5%). Most (143/222, 64.4%) of the sampled app families did not report sharing any data and were therefore isolated from each other and from the core network. Fifteen app families assumed more central network positions as gatekeepers on the shortest paths that data would have to travel between other app families.ConclusionsThis cross-sectional analysis highlights the possibilities for user data collection and potential paths that data is able to travel among a sample of prominent health and fitness apps. While individual apps may not collect personally identifiable information, app families and the partners with which they share data may be able to aggregate consumer data, thus achieving a much more comprehensive picture of the individual consumer. The organizations behind the centrally connected app families represent diverse industries, including apparel manufacturers and social media platforms that are not traditionally involved in health or fitness. This analysis highlights the potential for anticipated and voluntary but also possibly unanticipated and involuntary sharing of user data, validating privacy and security concerns in mobile health.

Project description:BackgroundSelf-tests are available to consumers for more than 25 conditions, ranging from infectious diseases to cardiovascular risk factors. Self-tests are defined as in-vitro tests on body materials such as blood, urine, faeces, or saliva that are initiated by consumers to diagnose a particular disorder or risk factor without involving a medical professional. In 2006, 16% of a sample of Dutch Internet users had ever used at least one self-test and 17% intended to use a self-test in the future. The objectives of this study are to determine (1) the frequency of self-test use, (2) the consumers' reasons for using or not using a self-test, (3) the information that is used by self-testers in the different self-test stages and the consumers' interpretation of the quality of this information, (4) the consumers' response to self-test results in terms of their confidence in the result, reassurance by the test result, and follow-up behaviour, (5) the information consumers report to need in the decision making process of using or not using a self-test, and in further management on the basis of the self-test result, and (6) the quality of the currently available consumer information on a selected set of self-tests.MethodsMixed methods study with (1) a cross-sectional study consisting of a two-phase Internet-questionnaire, (2) semi-structured interviews with self-testers and consumers who intend to use a self-test, and (3) the assessment of the quality of consumer information of self-tests. The Health Belief Model and the Theory of Planned Behaviour will serve as the theoretical basis for the questionnaires and the interview topic guides.ConclusionsThe self-testing area is still in a state of flux and therefore it is expected that self-test use will increase in the future. To the best of our knowledge, this is the first study which combines quantitative and qualitative research to identify consumers' information needs and use concerning self-testing, and the consumers' actual follow-up behaviour based on the self-test result, and simultaneously investigates the quality of the currently available consumer information. The results of this study will be used as an input in developing consumer information on self-testing.

Project description:BackgroundDespite the popularity of maternal and infant health mobile apps, ongoing consumer engagement and sustained app use remain barriers. Few studies have examined user experiences or perceived benefits of maternal and infant health app use from consumer perspectives.ObjectiveThis study aims to assess users' self-reported experiences with maternal and infant health apps, perceived benefits, and general feedback by analyzing publicly available user reviews on two popular app stores-Apple App Store and Google Play Store.MethodsWe conducted a qualitative assessment of publicly available user reviews (N=2422) sampled from 75 maternal and infant health apps designed to provide health education or decision-making support to pregnant women or parents and caregivers of infants. The reviews were coded and analyzed using a general inductive qualitative content analysis approach.ResultsThe three major themes included the following: app functionality, where users discussed app features and functions; technical aspects, where users talked about technology-based aspects of an app; and app content, where users specifically focused on the app content and the information it provides. The six minor themes included the following: patterns of use, where users highlighted the frequency and type of use; social support, where users talked about receiving social support from friends, family and community of other users; app cost, where users talked about the cost of an app within the context of being cost-effective or a potential waste of money; app comparisons, where users compared one app with others available in app stores; assistance in health care, where users specifically highlighted the role of an app in offering clinical assistance; and customer care support, where users specifically talked about their interaction with the app customer care support team.ConclusionsUsers generally tend to value apps that are of low cost and preferably free, with high-quality content, superior features, enhanced technical aspects, and user-friendly interfaces. Users also find app developer responsiveness to be integral, as it offers them an opportunity to engage in the app development and delivery process. These findings may be beneficial for app developers in designing better apps, as no best practice guidelines currently exist for the app environment.

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Data on the potential of nutrition-information apps from a consumer behaviour perspective.

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Data on the potential of nutrition-information apps from a consumer behaviour perspective.

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