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

Author:

Hoang Yen Nhi1ORCID,Ho Dang Khanh Ngan12,Chen Ya-Ling1,Chiu Wan-Chun13ORCID,Liu Kai-Li4,Chiu Tina HT5,Chen Lei-Chin6,Fang Li-Wen6,Huong Le Thi7,Lieu Nguyen Thi Thu7,Hieu Nguyen Duc8,Lin Wen-Ling9ORCID,Sakai Takashi10,Faradina Amelia1,Mayasari Noor Rohmah11,Vega John Louie Jacinto Dela12ORCID,Bañares Elaine L13,Sangopas Patchara1,Lainampetch Jirayu14ORCID,Handayani Dian15ORCID,Chang Jung-Su19161718ORCID

Affiliation:

1. School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan

2. Faculty of Nursing and Midwifery, Hong Bang International University, Ho Chi Minh City, Vietnam

3. Department of Nutrition, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan

4. Department of Nutrition, Chung Shan Medical University, Taichung, Taiwan

5. National Center for Geriatric and Welfare Research, National Health Research Institute, Yunlin County, Taiwan

6. Department of Nutrition, I-Shou University, Kaohsiung, Taiwan

7. School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam

8. College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan

9. Graduate Institute of Metabolism and Obesity Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan

10. Medical Corporation Yujinkai, Nursing Home Hohoemi no Sato Yokohama, Yokohama-shi, Kanagawa, Japan

11. Department of Nutrition, Faculty of Sports and Health Sciences, Universitas Negeri Surabaya. Kampus Lidah Wetan, Surabaya City, East Java, Indonesia

12. Program in the School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei, Taiwan

13. College of Arts and Sciences, Manila Tytana Colleges, Pasay City, Philippines

14. Department of Nutrition, Faculty of Public Health, Mahidol University, Bangkok, Thailand

15. Health Science Faculty, Universitas Brawijaya, East Java, Indonesia

16. Nutrition Research Center, Taipei Medical University Hospital, Taipei, Taiwan

17. Chinese Taipei Society for the Study of Obesity (CTSSO), Taipei, Taiwan

18. TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei, Taiwan

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  < 0.001). An adjusted multivariate analysis showed that perceived usefulness was an independent predictor of actual use in both MICs (β = 0.21; 95% confidence interval (CI): 0.11, 0.32; p  < 0.001) and HICs (β = 0.18; 95% CI: 0.09, 0.27; p  < 0.001). Economic development levels significantly moderated the relationship between self-efficacy and actual use (β = –0.10; 95% CI: −0.18, –0.01; p interaction  = 0.025), and between intention to use and actual use (β = 0.52; 95% CI: 0.10, 0.94; p interaction  = 0.015). Conclusions Economic development levels may moderate the adoption of innovative eNutrition technologies, highlighting the importance of contextual factors in technology adoption.

Funder

National Science and Technology Council

Publisher

SAGE Publications

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