Metabolic Disorders

Chronic-Illness-and-Long-term-Care-Level-2-3

Treating, managing, and preventing complications of metabolic disorders is complex.

It requires comprehensive biobehavioral research into the underlying mechanisms between biological and behavioral contributors of health. Given that culture and behavior are inextricably linked, and that Singapore is home to multi-ethnic communities, a key focus of the Chronic Illness and Long-term Care research in NUS Nursing lies in understanding the biobehavioral links behind metabolic disorders. This is crucial if efforts to advance nursing practice in engendering lifestyle modifications at the primary and secondary prevention levels are successful.

Core Members: Dr Jocelyn CHEW, Dr Wilson TAM, Prof Wenru WANG

Publications

  • Chew HSJ, Chew NW, Loong SSE, Lim SL, Tam WSW, Chin YH, Chao AM, Dimitriadish GK, Gao Y, So JBY, Shabbir A, Ngiam KY. Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation. J Med Internet Res. 2024 May 7;26:e46036. doi: 10.2196/46036. 10.2196/46036

  • Chew HSJ, Achananuparp P, Dalakoti M, Chew NWS, Chin YH, Gao Y, So BYJ, Shabbir A, Peng LE, Ngiam KY.. Public acceptance of using artificial intelligence-assisted weight management apps in high-income southeast Asian adults with overweight and obesity: a cross-sectional study. Front Nutr. 2024 Feb 7;11:1287156. doi: 10.3389/fnut.2024.1287156. eCollection 2024.. 10.3389/fnut.2024.1287156

  • Park J, Ten Hoor G, Won S, Hwang G, Hwang S, Lau ST.. Implementation of a Childcare-Based Obesity Prevention Program for Vulnerable Families During the COVID-19 Pandemic: Lessons for School Nurses. J Sch Nurs. 2024 Feb 19:10598405241228448. doi: 10.1177/10598405241228448. Online ahead of print.. 10.1177/10598405241228448

  • Lau Y, Wong SH, Chee DGH, Ng BSP, Ang WW, Han CY, Cheng LJ.. Technology-delivered personalized nutrition intervention on dietary outcomes among adults with overweight and obesity: A systematic review, meta-analysis, and meta-regression. Obes Rev. 2024 May;25(5):e13699. doi: 10.1111/obr.13699. Epub 2024 Jan 31.. 10.1111/obr.13699

  • Chan V, Cao L, Wong MMH, Lo K, Tam W.. Diagnostic Accuracy of Waist-to-Height Ratio, Waist Circumference, and Body Mass Index in Identifying Metabolic Syndrome and Its Components in Older Adults: A Systematic Review and Meta-Analysis. Curr Dev Nutr. 2023 Dec 12;8(1):102061. doi: 10.1016/j.cdnut.2023.102061. eCollection 2024 Jan.. 10.1016/j.cdnut.2023.102061

  • Goh LH, Szücs A, Siah CJR, Lazarus MA, Tai ES, Valderas JM, Young DYL.. Patient perspectives of diabetes care in primary care networks in Singapore: a mixed-methods study. BMC Health Serv Res. 2023 Dec 20;23(1):1445. doi: 10.1186/s12913-023-10310-3.. 10.1186/s12913-023-10310-3

Relevant Categories
Cardiovascular Diseases
Mental Health
Metabolic Disorders
Terminal Illness
Learn more

Related Publications

Grant - Wang, W. W. (PI) 2021-2025. Health Services Research Grant. Preventing Diabetes via Volunteers Engaging Residents using Technology (P-Divert): A sequential mixed-method study, SG$762,549, National Medical Research Council.

Chew H. (2022). The Use of Artificial Intelligence-Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations. JMIR medical informatics, 10(4), e32578. https://doi.org/10.2196/32578

Chew, H. S. J.c, Koh, W. L., Ng, J. S. H. Y., Tan, K. K. (2022). The sustainability of weight loss through smartphone apps: A systematic review and meta-analysis on anthropometric, metabolic, and dietary outcomes. Journal of Medical Internet Research (in press)