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The moderating effect of economic development levels on the adoption of eNutrition technologies in medical education: A multinational survey across six Asian countries.

Title: The moderating effect of economic development levels on the adoption of eNutrition technologies in medical education: A multinational survey across six Asian countries.
Authors: Hoang YN; School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.; Ho DKN; School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.; Faculty of Nursing and Midwifery, Hong Bang International University, Ho Chi Minh City, Vietnam.; Chen YL; School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.; Chiu WC; School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.; Department of Nutrition, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.; Liu KL; Department of Nutrition, Chung Shan Medical University, Taichung, Taiwan.; Chiu TH; National Center for Geriatric and Welfare Research, National Health Research Institute, Yunlin County, Taiwan.; Chen LC; Department of Nutrition, I-Shou University, Kaohsiung, Taiwan.; Fang LW; Department of Nutrition, I-Shou University, Kaohsiung, Taiwan.; Huong LT; School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam.; Lieu NTT; School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam.; Hieu ND; College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.; Lin WL; Graduate Institute of Metabolism and Obesity Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.; Sakai T; Medical Corporation Yujinkai, Nursing Home Hohoemi no Sato Yokohama, Yokohama-shi, Kanagawa, Japan.; Faradina A; School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.; Mayasari NR; Department of Nutrition, Faculty of Sports and Health Sciences, Universitas Negeri Surabaya. Kampus Lidah Wetan, Surabaya City, East Java, Indonesia.; Vega JLJD; Program in the School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.; Bañares EL; College of Arts and Sciences, Manila Tytana Colleges, Pasay City, Philippines.; Sangopas P; School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.; Lainampetch J; Department of Nutrition, Faculty of Public Health, Mahidol University, Bangkok, Thailand.; Handayani D; Health Science Faculty, Universitas Brawijaya, East Java, Indonesia.; Chang JS; School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.; Graduate Institute of Metabolism and Obesity Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.; Nutrition Research Center, Taipei Medical University Hospital, Taipei, Taiwan.; Chinese Taipei Society for the Study of Obesity (CTSSO), Taipei, Taiwan.; TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei, Taiwan.
Source: Digital health [Digit Health] 2025 Jun 25; Vol. 11, pp. 20552076251350805. Date of Electronic Publication: 2025 Jun 25 (Print Publication: 2025).
Publication Type: Journal Article
Language: English
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Imprint Name(s): Original Publication: [Thousand Oaks, CA] : SAGE Publications Ltd, [2015]-
Abstract: Objective: The aim was to explore the adoptive behaviors of eNutrition among students and nutrition professionals through a cross-country survey in six Asian countries.; Methods: University students and nutrition professionals were recruited through a convenience sampling approach in high-income countries (HICs; Japan and Taiwan) and middle-income countries (MICs; Thailand, Vietnam, Indonesia, and the Philippines). A self-reported questionnaire was used to assess the adoption of innovative eNutrition technologies across six domains (perceived self-efficacy, perceived self-interest, perceived ease of use, perceived usefulness, intention to use, and actual use). The primary outcome was the actual use of eNutrition technologies. Binary and multivariable linear regression interaction terms were created to test the moderating effects of the economic development level on actual use.; Results: In total, 992 participants were recruited, with 525 (52.9%) from HICs and 467 (47.1%) from MICs. A total of 34.8% of participants had used innovative eNutrition technologies, predominantly diet-tracking apps (27.02%). Participants from MICs were older, had a higher proportion of nutrition professionals, and had higher scores for perceived self-efficacy, perceived self-interest, perceived usefulness, and intention to use, along with a lower rate of having never used eNutrition technologies (all p 
Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
References: J Med Internet Res. 2020 Mar 9;22(3):e16995. (PMID: 32149718); Int J Epidemiol. 2012 Aug;41(4):1187-203. (PMID: 22933652); JMIR Mhealth Uhealth. 2021 Jul 30;9(7):e27885. (PMID: 34328425); J Med Internet Res. 2023 Oct 18;25:e49385. (PMID: 37851495); J Pers Med. 2024 Feb 27;14(3):. (PMID: 38540996); JMIR Mhealth Uhealth. 2021 Mar 26;9(3):e19310. (PMID: 33769303); Nutrients. 2024 Jun 19;16(12):. (PMID: 38931294); J Acad Nutr Diet. 2015 Jan;115(1):64-77. (PMID: 25441955); J Acad Nutr Diet. 2019 Apr;119(4):626-651. (PMID: 30686742); Lancet. 2010 Nov 20;376(9754):1775-84. (PMID: 21074255); J Am Coll Health. 2017 Oct;65(7):437-449. (PMID: 28010570); JMIR Form Res. 2022 Dec 6;6(12):e39647. (PMID: 36472905); J Hum Nutr Diet. 2017 Aug;30(4):439-452. (PMID: 28116773); JMIR Mhealth Uhealth. 2020 Oct 2;8(10):e16911. (PMID: 33006566); Prehosp Disaster Med. 2021 Aug;36(4):373-374. (PMID: 34284835); Int J Med Inform. 2019 Jul;127:68-79. (PMID: 31128834); Nutr Rev. 2025 Feb 1;83(2):e574-e601. (PMID: 38722240); Nutrients. 2020 Apr 18;12(4):. (PMID: 32325669); J Diabetes Sci Technol. 2015 May;9(3):516-24. (PMID: 25883165); Proc Nutr Soc. 2017 Aug;76(3):276-282. (PMID: 27976605); J Med Internet Res. 2020 Oct 22;22(10):e18801. (PMID: 33090108); Front Nutr. 2022 Jul 01;9:898031. (PMID: 35879982); Nutr Clin Pract. 2024 Aug;39(4):736-742. (PMID: 38591653); NPJ Digit Med. 2022 Sep 15;5(1):145. (PMID: 36109594); Diseases. 2023 Jul 13;11(3):. (PMID: 37489449); JMIR Mhealth Uhealth. 2023 Jan 13;11:e41235. (PMID: 36637888)
Contributed Indexing: Keywords: Digital health; dietary assessment; high-income country; mHealth; middle-income country
Entry Date(s): Date Created: 20250630 Latest Revision: 20250702
Update Code: 20260130
PubMed Central ID: PMC12202907
DOI: 10.1177/20552076251350805
PMID: 40585052
Database: MEDLINE

Journal Article