Recommender systems use in weight management mHealth interventions: A scoping review.

Autor: de Castro BA; Department of Epidemiology and Community Health, University of North Carolina at Charlotte, Charlotte, North Carolina, USA., Levens SM; Department of Psychological Science, University of North Carolina at Charlotte, Charlotte, North Carolina, USA., Sullivan M; The School of Information at Florida State University, Tallahassee, Florida, USA., Shaw G Jr; Department of Health Management and Policy, School of Data Science, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
Jazyk: angličtina
Zdroj: Obesity reviews : an official journal of the International Association for the Study of Obesity [Obes Rev] 2024 Nov 13, pp. e13863. Date of Electronic Publication: 2024 Nov 13.
DOI: 10.1111/obr.13863
Abstrakt: The use of recommender systems in mobile health apps for weight control has grown, but user app uptake and engagement remain limited. The objective of our scoping review was to explore the influence of recommender systems on mHealth app user engagement, identify the theoretical frameworks that have been applied on digital health interventions designed for weight management, and examine the key aspects that support tailoring user engagement through recommender systems. Based on existing literature, we identified 13 articles on recommender systems for weight management. Themes emerged, including theoretical underpinnings, authors' domain knowledge, user motivation, and design. Most studies used constructs from the social cognitive theory. We found inconsistencies between authors' domain knowledge and the intervention's content, with few professionals from the health and psychology fields. Only 46% of articles measured user engagement, whereas gamification and tailored messages were common app features. Despite some positive weight change results, more attention is needed toward implementing behavior theory and other strategies to promote app user engagement. Future studies should more accurately measure user motivation and identify the best features and behavioral constructs to increase app user interaction. Larger studies with a more diverse population are needed to generalize findings and evaluate weight loss maintenance and physical activity habits among users of recommender system.
(© 2024 The Author(s). Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.)
Databáze: MEDLINE
Externí odkaz: