Developing a predictive model of diabetic neuropathy by using principal component analysis
Review TypeAbstract Review Only: Reviewed by Event Host
Repository Posting Date2020-09-21T21:30:08Z
Author DetailsTingru Lin, SN; Tsae-Jyy Wang, professor -- School of Nursing, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan; Chieh-Yu Liu, PhD, Department of Language Speech Pathology and Audiology, and Department of Midwifery and Women Health Care, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan; Chii-Min Hwu, Associate professor, Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei City, Taiwan
Lead Author Sigma AffliationNon-member
Level of EvidenceN/A
Muscle strength and physical activity could be used in clinical practice as simple parameters for the identification of those at risk of Diabetic Neuropathy. Otherwise, gender difference effected their appearance. We should give different attention to gender to find the appropriate predictive variables.
Conference Name31st International Nursing Research Congress
Conference HostSigma Theta Tau International
Conference LocationVirtual Event
NotesItems submitted to a conference/event were evaluated/peer-reviewed at the time of abstract submission to the event. No other peer-review was provided prior to submission to the Sigma Repository, unless otherwise noted.
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