Evidence map›Paper›PMID 41473833›Full record

ArticleDigital health

Adoption and impact of wearable healthcare devices on health outcomes among Malaysian tertiary students.

Xiao Wei Tan, Siew Chin Ong, Christina Malini Christopher, Mohamed Hassan Elnaem, Mustapha Mohammed

Abstract read
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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiao Wei TanSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.ORCID https://orcid.org/0009-0006-0041-9145
Siew Chin OngSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.ORCID https://orcid.org/0000-0002-9750-9588
Christina Malini ChristopherSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.ORCID https://orcid.org/0000-0002-0272-2117
Mohamed Hassan ElnaemSchool of Pharmacy and Pharmaceutical Sciences, Ulster University, Coleraine, UK.ORCID https://orcid.org/0000-0003-0873-6541
Mustapha MohammedBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0002-5021-1610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The integration of wearable healthcare devices (e.g. smartwatches) into daily life has grown significantly worldwide, offering opportunities for continuous health monitoring and disease prevention. Despite their potential, the adoption of such technologies among younger populations, particularly students, remains underexplored. This study aims to explore the adoption and impact of wearable healthcare devices on health states and behaviors among students of tertiary institutions in Malaysia. Methods: A cross-sectional study was conducted among students across tertiary institutions in Malaysia from December 2022 to August 2023 using a validated self-administered questionnaire. Data collected from the study respondents include sociodemographic characteristics, digital technology usage, wearable healthcare device usage, eHealth literacy, and health-related quality of life. Multivariable logistic regression was used to identify factors associated with the adoption of wearable healthcare devices. A p ≤ 0.05 was considered statistically significant. Results: The study included 450 participants, with 80.2% using a wearable healthcare device. Most users were females (74%), under 20 years old (62.9%), and undergraduate students (75.6%). The findings showed a positive attitude toward the devices, with perceived usefulness (57.1%) being the main factor for adoption. Privacy concerns were significant, and health beliefs notably influenced adoption intentions. Participants had adequate eHealth literacy, with an average health-related quality of life score of 1.7 according to the EuroQol Five-dimension Three-level Questionnaire (EQ-5D-3L). The level of study significantly influenced adoption intention (p < 0.05), with pre-university students exhibiting higher inclinations toward adopting the devices. Conclusion: The study indicates that the functionality of these devices encourages tertiary students to adopt them for healthier lifestyles. However, students often lack confidence in identifying reliable health resources online, which can impact their ability to make informed health decisions.

Indexed as

digital healthhealth literacyquality of lifestudentsWearable healthcare devices

Identifiers

PMID41473833
PMCPMC12745509

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.