Literature DB >> 16845794

Relationship between hemoglobin A1c and blood glucose throughout the day in well-glycemic-controlled medical nutrition therapy alone type 2 diabetic patients.

Wen-Hui Li1, Xin-Hua Xiao, Qi Sun, Guo-Hua Yang, Heng Wang.   

Abstract

OBJECTIVE: To investigate the relationship between glycosylated hemoglobin A1c (HbA1c) and blood glucose levels of eight different points throughout the day in well-glycemic-controlled medical nutrition therapy (MNT) alone type 2 diabetic patients.
METHODS: Data were collected as' capillary blood glucose value of eight different sample points among sixteen observing days in thirty MNT alone type 2 diabetic patients. The correlation between HbA1c and capillary blood glucose value was evaluated by Pearson's correlation method.
RESULTS: The r-values between HbA1c and capillary blood glucose of 3:00, 6:00, and bedtime (22:00-23:00) were 0.81, 0.79, and 0.78, respectively (P < 0.001). The best correlation was found between the mean value of 8-point blood glucose value throughout the day and HbA1c (r = 0.84, P < 0.001).
CONCLUSION: Fasting blood glucose and postabsorptive blood glucose have better correlations with HbA1c compared with other points in this group of well-glycemic-controlled MNT alone type 2 diabetic patients.

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Year:  2006        PMID: 16845794

Source DB:  PubMed          Journal:  Chin Med Sci J        ISSN: 1001-9294


  2 in total

1.  Contributions of Basal Glucose and Postprandial Glucose Concentrations to Hemoglobin A1c in the Newly Diagnosed Patients with Type 2 Diabetes--the Preliminary Study.

Authors:  Xin Kang; Chun Wang; Dawei Chen; Lifang Lv; Guanjian Liu; Jie Xiao; Yanzhi Yang; Liping He; Lihong Chen; Xiujun Li; Haoming Tian; Weiping Jia; Xingwu Ran
Journal:  Diabetes Technol Ther       Date:  2015-03-31       Impact factor: 6.118

2.  Contributions of Fasting and Postprandial Glucose Concentrations to Haemoglobin A1c in Drug-Naïve Mal-Glucose Metabolism in Chinese Population Using Continuous Glucose Monitoring System.

Authors:  Rengna Yan; Yun Hu; Fengfei Li; Lanlan Jiang; Xiaohua Xu; Jie Wang; Ying Zhang; Lei Ye; Kok Onn Lee; Xiaofei Su; Jianhua Ma
Journal:  Int J Endocrinol       Date:  2019-12-01       Impact factor: 3.257

  2 in total

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