Significant impacts of the body-mass index, blood pressure, blood glucose, and ankle-brachial index on peripheral neuropathy risk in Indonesian with type 2 diabetes: a cross-sectional study

Siti Fadlilah, Vivi Leona Amelia, Cyruz P. Tuppal, Hui-Chen (Rita) Chang, Ching Wen Chang, Chia Ling Lin, Hsiu Ting Tsai

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Diabetic peripheral neuropathy is associated with morbidity and mortality in people with diabetes mellitus. Aims: In this study, we determined relationships of the body-mass index (BMI), systolic blood pressure, diastolic blood pressure, fasting blood glucose, HbA1c, and ankle-brachial index (ABI) with diabetic peripheral neuropathy risk. Methods: A cross-sectional study was conducted with 1088 Indonesians and data collected using self-reported questionnaires, laboratory examinations, and physical examinations. Instruments included a digital scale, height measurement device, digital sphygmomanometer, Doppler ultrasound, 10-g monofilament, and a 128-Hz tuning fork. Data analysis used the Chi-square test, Fisher Exact, and multiple logistic regression test with significance p <.05. Results: The BMI (p <.001), blood pressure (p <.001), ABI (p <.001), fasting blood glucose (p =.016), and HbA1c (p <.001) were significantly related to peripheral neuropathy risk. The conditions of obesity, hypertension, high ABI, high fasting blood glucose, and high HbA1c significantly increased the risk of peripheral neuropathy. Moreover, participants with ≥4 co-occurring abnormal levels of the BMI, systolic blood pressure, diastolic blood pressure, fasting blood glucose, HbA1c, and ABI had significantly synergistically increased risks of peripheral neuropathy, and the more abnormal conditions there were, the higher the risk of peripheral neuropathy. Conclusions: Abnormalities of the BMI, blood pressure, fasting blood glucose, HbA1c, and ABI significantly and synergistically increased the risk of peripheral neuropathy and can be considered predictors of peripheral neuropathy. Nurses are expected to be aware of these predictors so that they can immediately take appropriate steps if they encounter abnormal conditions by optimizing their role as educators.

Original languageEnglish
Pages (from-to)558-569
Number of pages12
JournalBiological Research for Nursing
Volume27
Issue number4
DOIs
Publication statusPublished - Oct 2025

Keywords

  • ankle-brachial index
  • blood glucose
  • diabetes mellitus
  • hemoglobin A1c
  • peripheral neuropathy

Fingerprint

Dive into the research topics of 'Significant impacts of the body-mass index, blood pressure, blood glucose, and ankle-brachial index on peripheral neuropathy risk in Indonesian with type 2 diabetes: a cross-sectional study'. Together they form a unique fingerprint.

Cite this