Abstract
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 ± 0.25%, and 69.0% of the participants showed abnormal glycemic control (HbA1c ≥ 6.5%). 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, occu-pation, 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 find-ings 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.
| Original language | English |
|---|---|
| Pages (from-to) | 31-42 |
| Number of pages | 12 |
| Journal | Journal of Korean Biological Nursing Science |
| Volume | 23 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2021.02 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Blood glucose
- Decision trees
- Diabetes mellitus
- Patients
Quacquarelli Symonds(QS) Subject Topics
- Psychology
- Medicine
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