Literature DB >> 31955740

Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge.

Antonella Samoggia1, Bettina Riedel2.   

Abstract

The research explored if a nutrition-information app influences consumers' healthy food behavior and whether consumers improve their knowledge towards healthy food. Diet and nutrition apps are among the most popular health and fitness apps used by an increasing number of mobile device users. The analyzed app reads the product labels. Then it assesses the quality of ingredients and nutritional values based on user's personal data, such as age and physical activity level, and recommends healthier food alternatives. Scientific evidence of the effectiveness of nutrition-information apps for promoting consumers' healthy food behavior is still limited. The theoretical framework of the study is grounded in constructs from Health Belief Model (HBM) and Trans-theoretical Model (TTM) theories. Data were collected from consumers that spontaneously downloaded an existing nutrition-information app. Out of the 7000 consumers contacted, 143 respondents filled in both the baseline and follow-up questionnaires. The questionnaires included items deriving from the HBM and TTM theoretical constructs adopted, that is self-reported stage of change, susceptibility, severity, benefits, barriers, self-efficacy, cues to action, perceived and objective healthy food knowledge. The average age of respondents is 38 year-old and the sample of respondents is well distributed in terms of level of education, gender, income, working status, and geographical distribution. Findings of the study showed that nutrition-information apps can be effective in overcoming what consumers perceive as personal limitations in approaching healthy food. This is particularly evident among consumers that are building their motivation and concretely planning actions in favor of healthy eating. In particular, using a nutrition-information app decreases the perception of the barriers to healthy food eating. Users have a higher perceived personal strength and self-confidence in approaching healthy food. App users improved their objective and subjective knowledge of healthy food. The results confirmed the effectiveness of the theoretical framework. The results support that family members and friends play a specific role in healthy food behavior inclination. This suggests the inclusion of an additional theoretical construct, the social and family influence construct, when assessing the effectiveness of nutrition-information apps. To improve nutrition-information app effectiveness, the recommendation is that consumer behavior scientists, marketing researchers, nutritionists, and app developers cooperate in the apps design.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Behavior change; Consumer behavior; Health Belief Model; Healthy food; Healthy nutrition; Mobile app; Smartphone; Trans-theoretical model

Mesh:

Year:  2019        PMID: 31955740     DOI: 10.1016/j.foodres.2019.108766

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  6 in total

1.  Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications.

Authors:  Heather A Eicher-Miller; Lukkamol Prapkree; Cristina Palacios
Journal:  Adv Nutr       Date:  2021-06-01       Impact factor: 8.701

2.  A randomized controlled trial examining consumers' perceptions and opinions on using different versions of a FoodFlip© smartphone application for delivery of nutrition information.

Authors:  Mavra Ahmed; Angela Oh; Lana Vanderlee; Beatriz Franco-Arellano; Alyssa Schermel; Wendy Lou; Mary R L'Abbé
Journal:  Int J Behav Nutr Phys Act       Date:  2020-02-12       Impact factor: 6.457

3.  The role of body mass index, healthy eating-related apps and educational activities on eating motives and behaviours among women during the COVID-19 pandemic: A cross sectional study.

Authors:  Justyna Modrzejewska; Adriana Modrzejewska; Kamila Czepczor-Bernat; Paweł Matusik
Journal:  PLoS One       Date:  2022-03-28       Impact factor: 3.240

4.  Use of Mobile Apps and Wearables to Monitor Diet, Weight, and Physical Activity: A Cross-Sectional Survey of Adults in Poland.

Authors:  Adam Żarnowski; Mateusz Jankowski; Mariusz Gujski
Journal:  Med Sci Monit       Date:  2022-09-09

Review 5.  Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment.

Authors:  Wesley Tay; Bhupinder Kaur; Rina Quek; Joseph Lim; Christiani Jeyakumar Henry
Journal:  Nutrients       Date:  2020-04-22       Impact factor: 5.717

6.  Design and Usability Evaluation of Mobile Voice-Added Food Reporting for Elderly People: Randomized Controlled Trial.

Authors:  Ying-Chieh Liu; Chien-Hung Chen; Yu-Sheng Lin; Hsin-Yun Chen; Denisa Irianti; Ting-Ni Jen; Jou-Yin Yeh; Sherry Yueh-Hsia Chiu
Journal:  JMIR Mhealth Uhealth       Date:  2020-09-28       Impact factor: 4.773

  6 in total

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