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Analysis of blood glucose fluctuation and its influencing factors in patients with type 2 diabetes / 中国实用护理杂志
Chinese Journal of Practical Nursing ; (36): 401-406, 2018.
Article in Chinese | WPRIM | ID: wpr-697021
ABSTRACT
Objective To figure out the status of blood glucose fluctuations in patients with type 2 diabetes mellitus(T2DM)and explore its influencing factors. Methods A total of 105 T2DM cases were subjected to multiple surveys with questionnaires pertaining to general patient information,diabetes self-management,medical responses and social support as well as rating scales for the Pittsburg Sleep Quality Index and positive and negative emotions.Furthermore,the continuous glucose monitoring system(CGMS, Medtronic) was used to examine their blood sugar dynamics. Results The outcome of dynamic blood sugar monitoring showed,the standard deviation of blood glucose(SDBG)concentration was(2.41±0.91) mmol/L,the mean amplitude of glycemic excursion(MAGE)per day was(4.01±1.86)mmol/L,the median of glycemic excursion (LAGE)was 5.3 mmol/L,the median of the M-value was 5.13 mmol/L,the median for the means of daily difference(MODD)was 1.84 mmol/L and the median for low blood glucose indexes (LBMI)was 1.08 mmol/L. According to the results derived from multiple stepwise regression analyses, which used blood sugar fluctuation parameters as the variances. The results showed that annual family income,glycosylated hemoglobin A1c(HbA1c),and diabetes self-management were shown to account for 51.5% of total SDBG variations;HbA1c,diabetes self-management,annual family income,social support and obedience could account for 76.3% of total MAGE variations;HbA1c,negative emotions and annual family income could account for 63.8% of total LAGE variations;HbA1c,annual family income,diabetes self-management and educational status could account for 52.3% of total M-value variations; HbA1c, negative emotions, diabetes self-management, annual family income and sleep quality could account for 48.0% of total MODD variations; HbA1c, annual family income and gender could account for 20.4% of total LBMI variation. Conclusions The T2DM patients, by contrast, demonstrated greater blood sugar fluctuations. HbA1c, annual family income, diabetes self-management, sleep quality, negative emotions and obedience were the main determinants that affect such fluctuations.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Practical Nursing Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Practical Nursing Year: 2018 Type: Article