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
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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.

印度尼西亚2型糖尿病患者体重指数、血压、血糖和踝肱指数对周围神经病变风险的显著影响:一项横断面研究
背景:糖尿病周围神经病变与糖尿病患者的发病率和死亡率相关。目的:在本研究中,我们确定了身体质量指数(BMI)、收缩压、舒张压、空腹血糖、糖化血红蛋白(HbA1c)和踝肱指数(ABI)与糖尿病周围神经病变风险的关系。方法:对1088名印度尼西亚人进行了一项横断面研究,并通过自我报告的问卷调查、实验室检查和体检收集了数据。仪器包括数字秤、身高测量装置、数字血压计、多普勒超声、10克单丝和128赫兹音叉。数据分析采用卡方检验、Fisher精确检验和多元logistic回归检验,显著性p < 0.05。结果:BMI (p .001)、血压(p .001)、ABI (p .001)、空腹血糖(p = 0.016)、HbA1c (p .001)与周围神经病变风险显著相关。肥胖、高血压、高ABI、高空腹血糖和高HbA1c均显著增加周围神经病变的风险。此外,BMI、收缩压、舒张压、空腹血糖、HbA1c和ABI同时出现≥4个异常水平的受试者周围神经病变的风险显著协同增加,异常情况越多,周围神经病变的风险越高。结论:BMI、血压、空腹血糖、HbA1c和ABI异常显著且协同增加周围神经病变的风险,可视为周围神经病变的预测指标。护士应该意识到这些预测因素,这样他们就可以在遇到异常情况时立即采取适当的措施,优化他们作为教育者的角色。
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