Catenation between mHealth application advertisements and cardiovascular diseases: moderation of artificial intelligence (AI)-enabled internet of things, digital divide, and individual trust

The utilization of digital media to promote emerging elements like the AI-enabled Internet of Things in health consulting to counter noncommunicable diseases, e.g., cardiovascular disease, has not yet been thoroughly explored. Consequently, the effectiveness of these communication features promotion among middle-aged adults remains largely uncharted. This research examines how middle-aged adults respond to advertisements showcasing the AI-enabled Internet of Things in digital media. Drawing an analogy with a UTAUT-3 theory, this research investigates how digital media advertisement can effectively promote recently integrated AI-enabled Internet of Things mHealth consultation services. Remarkably, findings identified that trust in AI-enabled IoTs-based mHealth applications remained insignificant. However, the digital divide resulting from low digital literacy in the Global South, especially Pakistan, is the primary obstacle to adopting mHealth apps for digital health services. This study suggests organizations such as WHO, mHealth apps, and telemedicine service providers employ health messaging and instructional advertising to educate the public.

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Publication Details

Journal
BMC Public Health
Published
2025-03-19
DOI
https://doi.org/10.1186/s12889-025-22082-y
Citations
6
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
25.01

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article

Catenation between mHealth application advertisements and cardiovascular diseases: moderation of artificial intelligence (AI)-enabled internet of things, digital divide, and individual trust

Umer Zaman, Syed Hassan Raza, Sajid Ullah Khan, Emenyeonu C. Ogadimma et al.
6 citations
BMC Public Health
Technology Adoption and User Behaviour
25.01
article

Catenation between mHealth application advertisements and cardiovascular diseases: moderation of artificial intelligence (AI)-enabled internet of things, digital divide, and individual trust

Umer Zaman, Syed Hassan Raza, Sajid Ullah Khan, Emenyeonu C. Ogadimma, Amjad Ali Shah, Hend Khalid Alkahtani, Shumaila Khan, Mohammed Alkhowaiter, Uzma Norin
article en
6 citations

Abstract

The utilization of digital media to promote emerging elements like the AI-enabled Internet of Things in health consulting to counter noncommunicable diseases, e.g., cardiovascular disease, has not yet been thoroughly explored. Consequently, the effectiveness of these communication features promotion among middle-aged adults remains largely uncharted. This research examines how middle-aged adults respond to advertisements showcasing the AI-enabled Internet of Things in digital media. Drawing an analogy with a UTAUT-3 theory, this research investigates how digital media advertisement can effectively promote recently integrated AI-enabled Internet of Things mHealth consultation services. Remarkably, findings identified that trust in AI-enabled IoTs-based mHealth applications remained insignificant. However, the digital divide resulting from low digital literacy in the Global South, especially Pakistan, is the primary obstacle to adopting mHealth apps for digital health services. This study suggests organizations such as WHO, mHealth apps, and telemedicine service providers employ health messaging and instructional advertising to educate the public.

BMC Public HealthVol. 25(1)
Princess Nourah bint Abdulrahman University (SA), Bahauddin Zakariya University (PK), Prince Sattam Bin Abdulaziz University (SA), University of Sharjah (AE), Taylor's University (MY), University of Science and Technology Bannu (PK), Woosong University (KR)
Princess Nourah Bint Abdulrahman University
Openalex Percentile: Top 1%
Technology Adoption and User Behaviour
25.01
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