ArticleHealthcare (Basel, Switzerland)2021
Factors Associated with Poor Glycemic Control Amongst Rural Residents with Diabetes in Korea.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Diabetic kidney disease in northwest Ethiopia: Prevalence and determinants among adults with type 2 diabetes.PloS one · 2026Article
- Gender based difference in glycemic control and diabetes related chronic complications among type 2 diabetic patients in Debre Berhan city public hospitals.Metabolism open · 2025Article
- Exploring the impact of self-efficacy on glycemic control in Omani type 2 diabetes patients.Frontiers in endocrinology · 2025Article
- Exploring the relationships between self-efficacy, self-care, and glycaemic control in primary care diabetes management.SAGE open medicine · 2024Article
- Glycemic control and associated factors among type 2 diabetes mellitus patients: a cross-sectional study of Azar cohort population.BMC endocrine disorders · 2023Article
- Healthy Lifestyle Score and Glycemic Control in Type 2 Diabetes Mellitus Patients: A City-Wide Survey in China.Healthcare (Basel, Switzerland) · 2023Article
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2 authors at 1 institution in 1 country.
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Abstract
(1) Background: Glycemic control is an effective way to reduce the cardiovascular complications of diabetes. The purpose of this study was to identify the factors associated with poor glycemic control amongst rural residents with diabetes in Korea. (2) Methods: This cross-sectional analysis was conducted amongst a total of 522 participants who had completed baseline health examinations for the Korean Genome and Epidemiology Study (KoGES) Rural Cohort from 2005 to 2011. The subjects were divided into two groups: the good glycemic control group (GCG) (glycosylated hemoglobin (HbA1C) < 7%) and the poor GCG (HbA1C ≥ 7%). Logistic regression was used to examine the role of sociodemographics, health-related behavior, comorbidity and diabetes-related and clinical factors in poor glycemic control amongst rural residents with diabetes. (3) Results: In total, 48.1% of participants were in the poor GCG. Poor GCG was significantly associated with drinking (odds ratio (OR) = 0.42, 95% CI = 0.24-0.71), lack of regular physical activity (OR = 1.68, 95% CI = 1.03-2.76), fasting blood glucose (FBG) > 130 mg/dL (OR = 7.80, 95% CI = 4.35-13.98), diabetes for > 7 years (OR = 1.79, 95% CI = 1.08-2.98), cholesterol ≥ 200 mg/dL (OR = 1.73, 95% CI = 1.05-2.84) and positive urine glucose (OR = 6.24, 95% CI = 1.32-29.44). (4) Conclusion: Intensive glucose control interventions should target individuals amongst rural residents with diabetes who do not engage in regular physical activity, have been diagnosed with diabetes for more than seven years and who have high fasting-blood glucose, high cholesterol levels and glucose-positive urine.
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