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ABSTRACT: Background
Preventing diabetic foot problems (DFP) and their associated consequences is a critical in rural regions. The objective is to present an association of non-invasive DFP assessment tools and physiological indicators for early detection among rural cases of diabetes in Taiwan.Methods
Secondary data analysis of 387 participants previously diagnosed with type 2 diabetes was used. The Michigan Neuropathy Screening Instrument (MNSI), Ankle Brachial Index (ABI), optimal scaling combination (OSC) of MNSI, and age were used to examine peripheral neurovascular function. The King's College classification (KC) and Texas risk classification (TRC) were used to understand diabetic foot complications.Results
The findings indicated that MNSI was negatively correlated with
SUBMITTER: Chang CH
PROVIDER: S-EPMC3848866 | biostudies-literature | 2013 Jun
REPOSITORIES: biostudies-literature