Diabetes Patients’ Health Knowledge Sources: Asian Indian and Korean Immigrants

Yong-Mi Kim

Chapter 15 in Navigating Inequities and Social Justice in the Age of Artificial Intelligence, 2026, pp 283-301 from World Scientific Publishing Co. Pte. Ltd.

Abstract: The source of health information significantly impacts the quality of patients’ health knowledge and their intention to follow medical directions. Patients with robust health knowledge are better equipped to manage and improve their health outcomes. However, the sources of health information for immigrants differ markedly from those of the native-born population, primarily due to cultural and language barriers. It is crucial to explore the sources of health knowledge among immigrants to empower them to manage and improve their health. This subject is particularly critical for Asian Indians and Koreans, as these groups exhibit the highest rates of diabetes among racial groups. However, research investigating the health knowledge sources for these immigrant populations remains sparse. Therefore, this chapter aims to explore the health information sources for these two immigrant groups.The research data were collected through in-person surveys and online surveys among Asian Indian and Korean immigrants. A total of 171 responses were analyzed using structural equation modeling. The results revealed that age is the most significant factor for the prevalence of diabetes, yet older immigrants did not seek out health knowledge. Notably, elderly immigrants are at a higher risk of developing diabetes, but they do not seek knowledge related to their diabetes management, not even from friends, which perpetuates health disparities within this vulnerable population. Individuals with fluent English tended to seek health information from friends and the internet. Unlike the native-born population, fluency in the language is more crucial than educational level for health knowledge-seeking behavior, regardless of the knowledge sources.

Keywords: Business; Artificial Intelligence; Knowledge Management; Social Justice; Leadership; Decision Making; Data Analysis (search for similar items in EconPapers)
JEL-codes: D63 O33 (search for similar items in EconPapers)
Date: 2026
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