Research Trends on Metabolic Syndrome in Digital Health Care
Author Information
Author(s): de Azevedo Cardoso Taiane, Sure Tharun Anand Reddy, Ghayour-mobarhan Majid, Bae Eun Jung, An Jiyoun, Lee Kiseong, Chung Yoongi, Kim Ji-Su
Primary Institution: Chung-Ang University
Hypothesis
This study aimed to identify core keywords, topics, and research trends concerning the use of digital health care in the management of MetS.
Conclusion
The study provided valuable insights that can guide future investigations in the field of digital health care and MetS management.
Supporting Evidence
- Metabolic syndrome affects 20%-40% of the global population.
- Digital health care includes technologies like wearable devices and mobile apps.
- The study identified 12 unique topics related to digital health care and MetS.
- Research trends showed an expanding field of precision medicine.
- COVID-19 significantly impacted research trends in digital health care.
Takeaway
The study looked at how digital health tools can help manage metabolic syndrome, which is a health issue affecting many people. It found important trends and gaps in research that can help improve future studies.
Methodology
A systematic search of abstracts from peer-reviewed papers was conducted across 6 academic databases, followed by text preprocessing, text network analysis, and topic modeling using the BERTopic algorithm.
Limitations
The dataset comprises a relatively small number of abstracts, which may impact the generalizability of the findings.
Digital Object Identifier (DOI)
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