KMID : 0869120210230010031
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±âÃÊ°£È£ÀÚ¿¬°úÇÐȸÁö 2021 Volume.23 No. 1 p.31 ~ p.42
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Identification of Subgroups with Poor Glycemic Control among Patients with Type 2 Diabetes Mellitus: Based on the Korean National Health and Nutrition Examination Survey from KNHANES VII (2016 to 2018)
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Kim Hee-Sun
Jeong Seok-Hee
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Abstract
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Purpose: This study was performed to assess the level of blood glucose and to identify poor glycemic control groups among patients with type 2 diabetes mellitus (DM).
Methods: Data of 1, 022 Korean type 2 DM patients aged 30-64 years were extracted from the Korea National Health and Nutrition Examination Survey VII. Complex samples analysis and a decision-tree analysis were performed using the SPSS WIN 26.0 program.
Results: The mean level of hemoglobin A1c (HbA1c) was 7.22¡¾0.25%, and 69.0% of the participants showed abnormal glycemic control (HbA1c¡Ã6.5%). The characteristics of participants associated with poor glycemic control groups were presented with six different pathways by the decision-tree analysis. Poor glycemic control groups were classified according to the patients¡¯ characteristics such as period after DM diagnosis, awareness of DM, sleep duration, gender, alcohol drinking, occupation, income status, low density lipoprotein-cholesterol, abdominal obesity, and number of walking days per week. Period of DM diagnosis with a cut-off point of 6 years was the most significant predictor of the poor glycemic control group.
Conclusion: The findings showed the predictable characteristics of the poor glycemic control groups, and they can be used to screen the poor glycemic control groups among adults with type 2 DM.
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KEYWORD
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Diabetes mellitus, Patients, Blood glucose, Decision trees
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