Dataset Information

Useful screening tools for preventing foot problems of diabetics in rural areas: a cross-sectional study.

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 ABI, but positively with diabetes duration, age, KC, TRC, fasting blood glucose, low density of lipoprotein cholesterol, body mass index and waist circumference. The area under the receiver operating characteristic curves for assessing the risk of ABI based on OSC was larger than for MNSI, KC, and TRC.

Conclusion

It is shown that using OSC, MNSI, and ABI as community screening tools is useful in detecting early neurovasculopathy. In addition, where an ABI machine is unavailable, primary healthcare providers that perform MNSI or OSC may be cost-effective. The study was approved by the institutional review board of the ethical committee (No 98-2224-B).

SUBMITTER: Chang CH

PROVIDER: S-EPMC3848866 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

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Publications

Useful screening tools for preventing foot problems of diabetics in rural areas: a cross-sectional study.

Chang Chia-Hao CH Peng Yun-Shing YS Chang Chang-Cheng CC Chen Mei-Yen MY

BMC public health 20130627

<h4>Background</h4>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.<h4>Methods</h4>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 scali ...[more]

PMID: 23802741

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Dataset Information

Useful screening tools for preventing foot problems of diabetics in rural areas: a cross-sectional study.

Background

Methods

Results

Conclusion

Publications

Useful screening tools for preventing foot problems of diabetics in rural areas: a cross-sectional study.

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