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Examining the antecedents and health outcomes of health apps and wearables use: an integration of the technology acceptance model and communication inequality

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

While health apps and wearables are often touted to promote individuals’ physical and mental health, a fundamental question that remains unanswered is how individuals from low socioeconomic status (SES) groups benefit from using these digital health technologies. This study draws upon two theoretical frameworks – an extended technology acceptance model and communication inequality to answer this research question. A nationally representative sample of 906 Singaporeans was administered, and data were analysed using hierarchical multiple regression. First, the results showed that factors at both the technological- (e.g. perceived usefulness and design aesthetics) and societal-level (e.g. descriptive and injunctive norms) contributed to closing the gap in health apps and wearables use between higher and lower SES groups. Second, using health apps and wearables was positively associated with physical and mental health and they can also bridge gaps in social well-being between the higher and lower SES groups; Third, the use of health apps and wearables was driven by multifaceted factors across technological-, individual-, and societal-levels, with hedonic motivation having the strongest positive association with both intention and actual use. Finally, theoretical and practical implications were discussed. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
Original languageEnglish
Pages (from-to)695-716
Number of pages22
JournalBehaviour & Information Technology
Volume43
Issue number4
Online published23 Feb 2023
DOIs
Publication statusPublished - 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Research Keywords

  • communication inequality
  • Health apps
  • health disparities
  • health wearables
  • technology acceptance model

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